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Welcome to another episode of Microsoft Knowledge Nuggets.

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I'm your host, Mirko Peters.

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Today's topic is one that almost everyone has faced.

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Messy customer service.

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You know the problem.

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A customer emails an issue, then calls to follow up.

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The agent on the phone has no idea what the email said.

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So the customer repeats themselves, gets frustrated,

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and you lose trust.

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That's the old way.

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Dynamics 365 customer service changes that.

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It pulls every interaction email chat, phone, social media,

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into one connected platform, one view, one record, one team.

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Let's break it down into the building blocks, case management,

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omni-channel, AI agents, integration with teams and outlook,

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and self-service.

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By the end, you'll see how it all fits together to turn

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support into a smooth, automated experience job.

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The problem.

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Why customer support breaks?

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So why does customer support break so often?

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The answer is almost always the same.

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Too many tools that don't talk to each other.

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Support teams juggle separate systems.

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Email lives in outlook.

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Phone calls go through a separate provider.

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Chat runs on a different platform.

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Your CRM is another thing entirely.

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And your knowledge base is yet another separate tool.

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Information gets scattered across all of them.

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Customers repeat themselves every time they switch channels.

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They tell the chat agent their story, then call in and tell it again.

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Agents waste time searching for context,

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digging through old emails, switching between tabs,

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trying to piece together what happened before they picked up.

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Here's a concrete example.

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A customer sends an email describing a problem.

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An agent reads it, enters the details manually into the CRM,

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and starts working.

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Then the customer calls to check progress.

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The phone agent has to ask for the case number, search for it,

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and read through whatever notes were entered.

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Maybe something got missed in manual entry.

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Maybe the agent didn't log the call properly.

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Now you have two partial records and a frustrated customer.

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The old solution was adding more tools.

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Buy a better phone system.

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Get a different chat widget, add a CRM plugin.

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But that just makes the fragmentation worse.

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The real solution is a single system

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that connects everything into one place.

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One place where every interaction, every channel,

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every piece of context lives together.

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That's the Gap Dynamics 365 customer service was built to fill.

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So what exactly is it?

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Let's dive in.

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What is Dynamics 365 customer service?

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Here's the simplest definition.

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Dynamics 365 customer service is a cloud platform

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that manages every customer interaction from start to finish.

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Then email comes in, a case is created,

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a customer calls, that same case updates.

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A chat conversation happens, it's locked against the same record.

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Everything is tied together.

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But it's not just a help desk.

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It's a complete system with case management,

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communication channels, AI and analytics.

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Think of it like an airport control tower.

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Every flight, every customer issue is tracked,

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routed and resolved from one place.

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And you can see which ones are on time,

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which are delayed, which need urgent attention.

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And you coordinate the response without leaving the tower.

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Under the hood, it's built on Microsoft Dataverse.

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That's the same Data Foundation

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that Dynamics 365 sales marketing and other apps use.

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So if your sales team uses Dynamics 365 sales,

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the customer data, account history, contact information,

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it's all shared.

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No duplicates, no manual syncing,

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the platform has two sides.

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There's the agent workspace,

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where service reps do their work,

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C-cases respond to customers, update records.

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And there's the back end,

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where routing rules, automation and AI leave.

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Here's the thing, most users never think about the back end.

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But it's what makes everything work.

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And it's part of the broader Microsoft ecosystem.

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Teams, Outlook, Power Platform, Co-Pilot, they're all connected.

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A case can trigger a team's message.

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An email and Outlook can become a case with one click.

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A Power Automate flow can escalate a case automatically.

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The pieces are designed to work together.

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So with that foundation,

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let's start with the core of any support system, the case.

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Case management, the heart of the system.

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So what's a case?

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Simple.

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A case is a single customer issue.

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It's the central record that everything revolves around.

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Every email, every phone call, every chat message,

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it all links back to one case record.

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When an agent opens the workspace,

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they see a list of active cases.

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They can filter by priority, by source, by status,

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high priority cases rise to the top.

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Cases that came in by phone,

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sit alongside cases that arrived by email.

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Everything visible, nothing hidden.

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Open a case record and you get the full picture.

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Description of the issue, which product it relates to.

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Priority level.

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And an SLA time are ticking down the time

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you have left to respond or resolve.

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That time is more than a decoration.

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It's a hard deadline.

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If a case is about to breach its SLA,

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escalation rules kick in automatically.

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A supervisor gets notified.

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The case gets reassigned to someone more senior.

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The system doesn't wait for someone to notice.

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It acts.

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One of the most useful features here is co-pilot highlights.

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When you open a case,

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co-pilot analyzes the entire history.

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All the emails, call notes, internal comments,

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and generates a one paragraph summary.

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So if you're taking over a case from a colleague,

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you don't have to read through a week's worth of back and forth.

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You get the key facts instantly.

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Who the customer is, what the issue is,

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what's been tried so far,

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that alone saves minutes per case.

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Then there are scripts,

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step by step guides that appear in the productivity pane

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while an agent works.

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If a customer calls about a password reset,

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the script walks the agent through the exact questions

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to ask and the steps to follow.

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It's great for new hires who don't have the experience yet.

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It's also great for consistency.

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Every customer gets the same process every time.

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Scripts can include macros.

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Macros automate routine actions,

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updating a case field, sending a templated email,

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creating a follow-up activity.

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Instead of clicking through five screens to update a status,

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the agent clicks one button and the macro does the rest.

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When the issue is resolved, the agent closes the case.

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That step can trigger follow-up actions automatically.

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Send a confirmation email,

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create a survey invitation through Dynamics Customer Voice,

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update-related records.

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The system handles the paperwork

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so the agent can move to the next case.

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But cases don't just come from one place.

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Customers reach out through email, chat, phone,

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social media.

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That's where Omni Channel comes in.

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Omni Channel.

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One platform, every channel.

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So picture this.

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A customer sends you an email in the morning.

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Then they fire off a chat message at lunch

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by the afternoon there on the phone

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and they expect you to know everything they've already said.

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That's a tall order if each channel runs

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on its own separate system.

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Dynamics 365 Contact Center,

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that's the new name for what used to be called Omni Channel,

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brings all those channels into a single queue.

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One place where every incoming interaction lands,

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no matter how the customer reached out,

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here's how it works.

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The system decides who handles each conversation

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based on rules you set.

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You can root by skill, technical issues go to technical agents,

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billing questions go to billing specialists.

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You can root by workload, tickets get spread evenly

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so no one gets buried.

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And you can root by customer tier.

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Your premium customers skip to the front of the line.

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The rules are flexible.

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You set them and the system follows.

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When an agent picks up a conversation,

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they see the full history across every channel.

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The customer doesn't have to repeat themselves.

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The agent sees that this person emailed yesterday,

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chatted this morning and is now calling.

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All in one timeline linked to the same case.

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Live chat is a good place to start for most organizations.

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It's high volume low friction.

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Set it upright and it can cut inbound call volume

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by 15 to 30% in the first quarter.

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Customers get quick answers without picking up the phone.

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Agents handle multiple chats at once.

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Everyone wins.

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Voice integration works the same way.

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Calls get logged automatically.

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They're transcribed in real time.

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The transcription links to the case record,

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sentiment analysis tracks whether the conversation

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is going well or turning sour.

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All of it happens without the agent lifting a finger.

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The bottom line is this.

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Agents work in the same workspace for every channel.

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They don't switch apps.

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They don't log into a separate phone system

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or open a different chat tool.

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One interface, one workflow, one record.

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With so many conversations flowing through,

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AI becomes the tool that keeps everything moving.

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Let's talk about that next.

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AI agents and co-pilot, the brain of the operation.

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OK, so you've got cases flowing in from every channel.

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Agents are working through cues.

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SLAs are ticking down.

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That's a lot of moving parts.

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This is where AI becomes the helper

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that keeps everything on track.

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Now, there's co-pilot in Dynamics 365.

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It's the AI assistant built right inside the agent workspace.

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When an agent opens a case,

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co-pilot generates a summary of everything that's

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happened so far.

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When they need to reply to a customer,

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co-pilot drafts the email based on the case context.

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It suggests knowledge articles that

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might help resolve the issue.

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Think of it like a senior colleague looking over your shoulder,

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feeding you the information you need.

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But co-pilot is just the start.

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What's more interesting are the dedicated AI agents

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that run on their own.

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These aren't tools that wait for an agent to ask a question.

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They act independently.

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First up is the case management agent.

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This one handles the entire case lifecycle

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from creation to closure.

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The customer conversation happens, chat, email phone,

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and the agent automatically creates a case from it.

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It fills in the relevant fields based on the transcript.

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It drafts an initial response.

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It monitors follow-ups.

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And when the issue is resolved, it closes the case

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and generates wrap-up notes.

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The agent doesn't have to create anything manually.

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The case management agent does it for them.

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Then there's the customer intent agent.

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This one learns continuously from every conversation

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across every channel.

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It analyzes case notes, transcripts, and summaries

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to spot new issue patterns.

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If customers start asking about a product feature

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that's causing confusion, the intent agent

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catches that pattern and maps it to a solution.

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Over time, it builds a library of intents and resolutions

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the whole team can use.

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The customer knowledge management agent takes that a step further.

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When a case gets resolved, especially one

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that involved creative problem solving,

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this agent drafts a new knowledge article automatically.

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It looks at the case timeline, the troubleshooting steps,

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the resolution, then it structures that information

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into a clear article.

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It checks for duplicates first, so you

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don't end up with five articles about the same issue.

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Then it suggests publication.

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No manual effort required.

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And there's the Quality Evaluation Agent.

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This one scores every completed interaction

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against your organization's quality standards.

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Empathy, tone, process adherence, resolution quality.

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It identifies low scores and generates coaching recommendations.

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If an agent's empathy score dropped on a particular call,

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the agent flags it and suggests specific improvements.

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Supervisors can drill into the evaluation summary

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and see exactly where the gap is.

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Now here's the interesting part.

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These agents don't work in isolation.

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The intent agent finds a new pattern.

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The knowledge management agent drafts an article about it.

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The case management agent starts using that article

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to resolve similar issues automatically.

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They feed into each other.

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The system gets smarter over time without anyone having to manage it.

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Co-pilot also plays a role in collaboration.

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When a case is complex and an agent needs help,

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co-pilot suggests swarming.

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Pulling in experts from teams who've solved similar problems

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before, it identifies the right people

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based on their history and suggests them as collaborators.

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One click in a team's channel is created

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linked to the case with the right experts already in it.

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The real world effect of all this is straightforward.

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Agents spend less time on administrative work

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and more time solving problems.

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The case management agent handles case creation and closure,

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the knowledge agent writes articles,

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the quality agent evaluates performance,

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the agent focuses on the customer.

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That's the shift.

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Speaking of teams, let's see how deep that integration actually goes.

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Integration, teams, outlook and beyond.

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Your agents don't live inside Dynamics 365 all day.

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They work in teams, they breathe outlook.

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The real power of the system is how deeply it hooks into those tools.

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Teams is embedded right inside the Dynamics workspace.

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An agent can see their active chats alongside the cases they're working on.

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They can start a chat from a case record

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without leaving the application.

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They can make calls using the team's dialer directly within Dynamics

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and those calls get logged automatically to the case timeline.

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No switching between apps, no copying and pasting compensation threads.

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Now, when an agent opens a complex case,

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Dynamics uses AI to suggest colleagues who might help.

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It looks at who's resolved similar cases before,

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how fast they resolve them and whether they have the right expertise.

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Those suggestions appear automatically.

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The agent clicks a name, starts a chat,

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and the conversation is linked to the case.

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That's context working the way it should.

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Swarming takes collaboration further.

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Instead of sending a single message and hoping someone responds,

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the agent creates a team's channel linked to the case with one click.

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The system pulls in the suggested experts.

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External specialists who don't even use Dynamics can join that channel

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and view the case record inside teams.

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They get full context without needing a license.

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The case doesn't get stuck waiting for someone to notice a message.

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Outlook integration is just as deep.

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A customer sends an email about an issue.

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From within Outlook an agent can turn that email into a case with one click.

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The Dynamics panel opens, identifies the sender,

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and auto-populates the case fields.

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Customer name, email address, related account,

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all pulled from the CRM automatically.

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The email body becomes the case description.

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The agent doesn't type anything.

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Copilot inside Outlook can then draft replies based on the case context.

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Tone, length, language, all adjustable.

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Customer in Germany, Copilot drafts the response in German.

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Sensitive situation, it adjusts the tone to be more formal.

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The agent reviews, edits if needed, and sends.

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What used to take ten minutes now takes two.

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For higher volume scenarios, automated email to case handles the whole thing.

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You configure Dynamics to monitor a support mailbox.

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When an email arrives, it creates a case automatically,

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applies routing rules, and assigns it to the right queue.

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No human touches it until an agent picks it up from their queue.

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File management is seamless too.

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When a Dynamics record is linked to a Teams channel,

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files uploaded to either location sync automatically.

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No duplicates, no version confusion.

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Co-authoring works the same way it does in any Microsoft 365 document.

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Here's something you are.

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In June, 2026, Microsoft released the service agent

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within Microsoft 365 Copilot to general availability.

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This isn't just Copilot inside Dynamics.

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It's a dedicated agent that lives in Teams Outlook and the Copilot app

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with access to over 70 tools purpose-built for service scenarios.

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An agent can manage cases, draft responses, and update records

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without ever opening the Dynamics workspace.

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They can work from wherever they are, across whatever tool they're using.

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The case data stays in Dynamics, but the agent's interface is wherever they need it.

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Of course, not every issue needs a human.

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That's where self-service comes in.

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Self-service and knowledge management.

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What if customers could solve their own problems without ever talking to an agent?

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For most people, that's actually the preference.

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They don't want to wait on hold.

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They don't want to explain their situation.

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They want to search, find an answer, move on with their day.

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Dynamics 365 customer service handles this through PowerPages portals.

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These are branded websites that live outside your internal systems.

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Customers come to the portal, search for knowledge articles,

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submit new cases, and track progress on existing ones.

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Everything happens through a web browser.

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No login to your CRM, no phone call.

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The knowledge base behind that portal is the same one your agents use internally.

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One source of truth.

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When an agent updates a knowledge article on their end, the portal reflects that change immediately.

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Customers see the same information your agents do, no outdated articles, no conflicting answers.

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Now maintaining a knowledge base has traditionally been a chore.

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Someone has to write articles, review them, publish them.

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And when agents are busy handling cases, writing documentation,

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tends to fall to the bottom of the priority list.

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Dynamics addresses this with AI-powered article creation.

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When a case gets resolved, especially one that involves some creative problem-solving

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co-pilot analyzes the case timeline, the emails, the resolution notes,

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and drafts a knowledge article automatically.

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The knowledge management agent takes it a step further.

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Before creating a new article, it checks existing content to make sure

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it's not duplicating something already published.

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It structures the content clearly.

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Problem, troubleshooting steps, solution.

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Then it suggests publication, a supervisor reviews and approves, that's it.

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What used to take an hour of manual writing now happens in minutes.

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The results, fewer inbound requests because customers find answers on their own.

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Consistent answers because everyone uses the same knowledge base.

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Faster resolution for common issues because the information is already written and organized.

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Here's a concrete example.

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A customer searches, reset password on your portal.

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The knowledge base returns a step-by-step article.

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The customer follows the instructions, resets their password, and never creates a case.

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That interaction never reaches an agent.

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The system handled it silently behind the scenes without any human effort,

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multiply that by hundreds of similar searches, and you start to see the impact.

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How do you measure that impact?

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That's what the analytics are for.

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Analytics and supervisor tools.

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So you've got cases flowing through AI agents handling routine work,

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customers self-serving on the portal.

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How do you know any of it is actually working?

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That's where the Insights dashboard comes in.

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The dashboard gives leaders a real-time view of service performance.

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Total cases created, average resolution time, escalation rate,

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CSAT scores, and sentiment analysis.

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It updates continuously, no waiting for end-of-month reports,

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no pulling data by hand.

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Here's the thing, raw numbers only tell part of the story.

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The system generates automated insights that flag trends you might miss.

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It might tell you that CSAT scores dropped for low priority cases last week

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or that resolution time spiked for a specific product category.

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These aren't just alerts, they're signals that something needs attention.

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The system doesn't wait for you to notice a problem.

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It points directly to the issue.

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Agent metrics show you individual performance,

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case volume, handling time, feedback scores, current workload.

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You can see who's overloaded, who has capacity,

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spot-high performers, and identify who needs extra support.

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Now, this is where the Equality Evaluation Agent we talked about earlier

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comes back into play.

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A supervisor can drill into any agent's conversation summaries

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and see the quality scores the agent generated.

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If an agent's empathy score is low on certain calls,

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the Evaluation Summary highlights it

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and suggests specific coaching improvements,

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like, adjust tone on sensitive interactions,

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or follow the script for password reset calls more closely.

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The recommendations are concrete and actionable,

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forecasting and scheduling use AI to predict call volume

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based on historical patterns.

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If next Tuesday is likely to be 20% busier than usual,

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the system flags it and suggests staffing adjustments,

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so supervisors can schedule more agents for that shift without guessing.

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Power BI Integration lets you build custom reports for deeper analysis.

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If your leadership team wants a specific view,

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cases by region resolution time by product line,

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CSET, by agent tenure, you can build it

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without leaving the Power BI ecosystem.

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The data flows from dataverse directly into your dashboards.

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Let's tie it all together.

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So here's what we covered. Dynamics 365 customer service is more than a help desk.

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It's a connected platform.

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Case management is at its core.

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OmniChannel brings every conversation into one queue.

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AI agents handle the busy work.

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It integrates deeply with teams and outlook,

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self-service portals deflect common issues.

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An analytics tell you whether it's all working.

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The real value, less context switching for agents,

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faster resolution for customers,

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and a support operation that runs smoother on every level.

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Here's your homework.

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Think about one part of your support process that feels broken.

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Maybe it's the gap between email and your CRM.

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Maybe it's customers repeating themselves.

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Maybe it's agents drowning in manual data entry.

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Could a unified platform fix it?

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That's the question worth sitting with.

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If you found this useful,

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00:17:48,520 --> 00:17:52,120
subscribe and check out our next episode on Dynamics 365 sales.

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00:17:52,120 --> 00:17:55,160
How the same platform powers your sales team from lead to close.

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I'm Mucopetus from N365 FM.

