contact-centre, Customer-service

Fraud Protection in Contact Centers with Dynamics 365

Goloknath

Contact centres are the beating heart of customer engagement. They handle millions of interactions daily across voice, chat, email, and digital channels. But with this central role comes vulnerability: fraudsters increasingly exploit contact centres as entry points for account takeovers, payment fraud, and identity theft.

Microsoft’s Dynamics 365 Fraud Protection offers a cloud-native solution to mitigate these risks. This paper explores why fraud protection is essential, how Dynamics 365 addresses it, and what licensing and SKUs are required to deploy it effectively.

2. The Growing Need for Fraud Protection

2.1 Fraud Trends in Contact Centres

  • Social Engineering: Fraudsters impersonate legitimate customers to gain access to accounts.
  • Synthetic Identities: Fake accounts created to exploit promotions or loyalty programs.
  • Account Takeover (ATO): Stolen credentials used to hijack customer accounts.
  • Refund Abuse: Exploiting return policies to gain financial advantage.
  • Payment Fraud: Unauthorized transactions processed through agents.

2.2 Impact on Organizations

  • Financial Losses: Billions lost annually to fraud in customer service channels.
  • Reputation Damage: Customers lose trust after a single breach.
  • Operational Strain: Agents spend more time verifying identities manually.
  • Regulatory Risk: Non-compliance with PCI DSS, GDPR, HIPAA, etc.

2.3 Why Contact Centres Are Vulnerable

  • High volume of interactions.
  • Reliance on human agents who can be manipulated.
  • Legacy authentication methods (PINs, security questions).
  • Increasing omnichannel complexity.

3. Dynamics 365 Fraud Protection: An Overview

Microsoft’s Dynamics 365 Fraud Protection is a SaaS solution designed to safeguard organizations against fraud across digital and contact center channels.

3.1 Core Modules

  1. Account Protection (AP)
    • Detects fraudulent account creation and login attempts.
    • Uses AI models to flag suspicious activity.
  2. Purchase Protection (PP)
    • Evaluates online payment transactions for fraud risk.
    • Integrates with payment processors to reduce chargebacks.
  3. Loss Prevention (LP)
    • Identifies fraud in returns, discounts, and loyalty programs.
    • Helps retailers and service providers reduce abuse.

3.2 Integration with Contact Centres

  • Seamlessly integrates with Dynamics 365 Contact Center.
  • Provides real-time fraud scoring during customer interactions.
  • Enhances Nuance voice biometrics for secure authentication.
  • Reduces manual verification workload for agents.

4. Licensing & SKU Requirements

Fraud Protection is not included in Dynamics 365 Premium or Contact Center licenses. It requires separate licensing.

4.1 Base License

  • Dynamics 365 Fraud Protection Base License
    • Includes Account Protection, Purchase Protection, and Loss Prevention.
    • Cost: $1,000/month/tenant
    • Transaction allowances:
      • 100,000 Account Protection transactions/month
      • 2,000 Purchase Protection transactions/month
      • 4,000 Loss Prevention transactions/month

4.2 Add-ons

Add-onCoverageCost (approx.)
Account Protection Add-on20K transactions/month$150/month (<2M transactions) or $100/month (≥2M transactions)
Purchase Protection Add-on2K transactions/month$150/month (<500K transactions)
Loss Prevention Add-on4K transactions/monthIncluded in base; scalable via add-ons

4.3 Licensing Path

  1. Dynamics 365 Premium License
    • Covers CRM/ERP apps (Sales, Customer Service, Finance, etc.).
  2. Dynamics 365 Contact Center License
    • Provides omnichannel engagement, AI-powered service, and Nuance integration.
  3. Dynamics 365 Fraud Protection SKU
    • Adds fraud detection across account, purchase, and loss prevention.
  4. Transaction Add-ons
    • Scale based on interaction volume.

5. Cost Analysis

5.1 Example Scenario

  • A contact center handling 500,000 monthly interactions.
  • Fraud Protection base license ($1,000/month).
  • Additional transaction packs:
    • Account Protection: 20 add-ons ($150 × 20 = $3,000/month).
    • Purchase Protection: 250 add-ons ($150 × 250 = $37,500/month).
  • Total monthly cost: ~$41,500

5.2 ROI Considerations

  • Reduced chargebacks: Savings from fewer fraudulent transactions.
  • Lower operational costs: Agents spend less time on manual verification.
  • Customer retention: Trust preserved through secure interactions.
  • Compliance savings: Avoidance of fines and penalties.

6. Deployment Roadmap

6.1 Phase 1: Assessment

  • Identify fraud risks in current contact center operations.
  • Map customer journey touchpoints vulnerable to fraud.

6.2 Phase 2: Licensing & Procurement

  • Acquire Dynamics 365 Fraud Protection base license.
  • Add transaction packs based on forecasted volume.
  • Ensure Dynamics 365 Contact Center license is active.

6.3 Phase 3: Integration

  • Configure Fraud Protection with CRM workflows.
  • Integrate Nuance biometrics for voice authentication.
  • Train agents on fraud alert handling.

6.4 Phase 4: Optimization

  • Monitor fraud detection accuracy.
  • Adjust fraud scoring thresholds.
  • Scale transaction packs as needed.

7. Case Studies

7.1 Retail Contact Center

  • Reduced refund abuse by 40% using Loss Prevention.
  • Saved $2M annually in fraudulent returns.

7.2 Banking Contact Center

  • Integrated voice biometrics with Account Protection.
  • Prevented thousands of account takeover attempts.

7.3 Healthcare Contact Center

  • Protected patient data from fraudulent access attempts.
  • Achieved compliance with HIPAA security standards.

8. Risks & Considerations

  • Cost scaling: Fraud Protection costs rise with transaction volume.
  • Integration complexity: Requires configuration with existing CRM workflows.
  • Customer experience balance: Overly strict fraud rules may block legitimate customers.
  • Training needs: Agents must understand fraud alerts to act effectively.

9. Conclusion

Fraud protection in contact centres is essential for security, compliance, and customer trust. Microsoft’s Dynamics 365 Fraud Protection provides a modular solution, but it requires separate licensing beyond the Premium license.

The base SKU costs $1,000/month per tenant, with add-ons available for scaling transaction volumes. Organizations must carefully plan licensing to balance cost and coverage.

By integrating Fraud Protection with Dynamics 365 Contact Center and Nuance AI, businesses can reduce fraud, improve efficiency, and protect customer trust.

copilot-studio

Agent Evaluation in Microsoft Copilot Studio

Goloknath

Agent Evaluation in Microsoft Copilot Studio

This feature provides a standardized mechanism to measure, manage, and improve the performance and reliability of AI agents, moving them from “promising prototypes” to trustworthy production-ready tools.

Real-time User Journey

The user journey for a “Maker” (someone building the agent) follows a continuous feedback loop:

  1. Defining the Goal: The maker identifies a scenario (e.g., an HR agent answering leave questions).
  2. Inputting Realistic Data: Instead of perfect prompts, the maker uploads datasets reflecting messy, real-world user questions (vague phrasing, mixed intents).
  3. Simulated Execution: Copilot Studio runs the agent against these prompts in a simulated environment using a specific User Identity (e.g., testing if a contractor accidentally sees full-time employee benefits).
  4. Automated Grading: The system applies “Graders” to evaluate the responses based on Quality (completeness), Classification (behavior alignment), and Capability (using the right tool/topic).
  5. Analysis & Refinement: The maker reviews aggregated trends to see high-level performance and drills down into specific failures to understand why the agent missed the mark.
  6. Comparison: After making tweaks to instructions or data, the maker runs a new eval and compares it to the previous one to prove the agent is actually getting better.

Step-by-Step: How to Enable

Agent Evaluation is a built-in feature of Microsoft Copilot Studio. Here is how to set it up:

  • Step 1: Access the Evaluation Tab: Open your agent in Copilot Studio and navigate to the Evaluation section.
  • Step 2: Create a New Evaluation: Click to start a new evaluation run and give it a descriptive name.
  • Step 3: Upload Test Data: Import a dataset or manually enter a set of “Expected User Prompts.” You can also use AI-assisted generation to broaden your test coverage.
  • Step 4: Configure Graders: Select from ready-to-use logic (e.g., General Quality, Capability, or Correctness). You can combine multiple graders for one run.
  • Step 5: Set User Context: Select the user profile/identity under which the agent should be tested to validate permission-based data access.
  • Step 6: Run & Analyze: Execute the evaluation. Once finished, view the Dashboard for aggregated pass/fail rates and the Details tab for step-by-step logs.

Infographic: The 8-Step Confidence Loop

This visual summary represents the lifecycle of evaluating an AI agent:

PhaseStepAction
Setup1. ScenarioDefine what you are testing.
2. DataUse “messy” real-world prompts.
3. LogicChoose your Graders (Quality, Capability).
4. IdentitySet the user context (Permissions).
Execution5. RunSimulate prompts and generate responses.
Analysis6. AggregateLook at the “Big Picture” trends.
7. Drill-DownInvestigate individual failures.
Iteration8. CompareValidate that updates improved the agent.

References

How to evaluate AI agents in Microsoft Copilot Studio
contact-centre, Customer-service

AI Evaluation: The New Standard for Measuring Contact Center Excellence in Dynamics 365

Goloknath

AI Evaluation: The New Standard for Measuring Contact Center Excellence

(A comprehensive framework focused on measuring the performance of AI agents and human-AI collaboration using advanced metrics like reasoning accuracy and response latency.)

Real-time User Journey: The AI Audit Loop

This journey illustrates how a supervisor uses the AI Evaluation framework to ensure an autonomous agent is performing safely and effectively:

  1. Autonomous Interaction: An AI agent handles a complex request regarding a “Warranty Exception” for a high-value customer.
  2. Telemetry Capture: In real-time, the system captures not just what was said, but the Reasoning Path the AI used to decide to grant the exception.
  3. Performance Evaluation: The Evaluation engine automatically scores the interaction based on the Three Pillars: Understand (Did it get the intent?), Reason (Was the logic sound?), and Respond (Was it fast and empathetic?).
  4. Anomaly Detection: The framework flags the interaction because the Response Latency spiked to 1.2 seconds (above the 800ms threshold) during a specific logic branch.
  5. Supervisor Review: The supervisor opens the Evaluation Dashboard. They see the “Reasoning Trace” and identify that the AI was stuck in a loop checking two conflicting internal policies.
  6. Optimization: The supervisor adjusts the policy priority in Copilot Studio. The Evaluation framework then runs a “Synthetic Test” (a simulated call) to verify the fix before the agent goes live again.

Step-by-Step: How to Enable This Feature

The AI Evaluation tools are found within the Analytics and Insights section of the Dynamics 365 Contact Center.

  • Step 1: Access the Contact Center Admin Center

Sign in and navigate to Insights > Evaluation Framework.

  • Step 2: Define Evaluation Sets

Create a “Dataset” of representative customer interactions (both voice and text) that you want the AI to use as a benchmark for “Good” performance.

  • Step 3: Set “Three Pillar” Thresholds
    • Understand: Define the required Intent Recognition Accuracy (e.g., >90%).
    • Reason: Enable “Reasoning Tracing” to capture the AI’s step-by-step logic.
    • Respond: Set the Target Latency (e.g., <800ms) and Tone Consistency parameters.
  • Step 4: Enable Automated Quality Scoring

Toggle on Auto-Evaluation. This allows the AI to score 100% of interactions using the Quality Evaluation Agent (QEA) framework.

  • Step 5: Configure Synthetic Testing

In the evaluation settings, enable Simulated Conversations. This allows you to “test” your AI agents against a battery of predefined scenarios to measure performance before they interact with real customers.

  • Step 6: Deploy the Evaluation Dashboard

Add the AI Performance Insights report to your Power BI workspace to view real-time scores across your entire digital workforce.

Infographic: The AI Evaluation Framework

ComponentMetric / FocusTarget Benchmark
UnderstandIntent Recognition, Word Error Rate (Voice).90% + Accuracy
ReasonLogical Consistency, Policy Adherence.Zero Hallucination
RespondResponse Latency, Sentiment Alignment.< 800ms Latency
SafetyRedaction Accuracy, Bias Detection.100% Compliance
CollaborationHuman-AI Handoff Efficiency.< 10s Transfer Time

References

The Key Facets of AI Evaluation in the Contact Center 
contact-centre, Customer-service

Proactive voice engagements in Dynamics 365 Contact Center

Goloknath

Proactive voice engagements in Dynamics 365 Contact Center

(A shift from reactive support to proactive service, where AI agents initiate outbound voice calls to notify customers of critical updates, service disruptions, or personalized offers.)

Real-time User Journey: Anticipatory Service

This journey illustrates how the system prevents a customer from needing to call support by reaching out first:

  1. Event Detection: An airline’s internal system flags that Flight 102 is delayed by four hours due to a technical issue.
  2. Audience Segmentation: The Proactive Engagement Agent identifies all passengers on that flight who have not yet checked in or are currently in transit.
  3. Autonomous Outreach: The AI agent initiates an outbound call to a passenger.
  4. Natural Interaction: The passenger answers. Using HD Voices, the agent says: “Hi Alex, I’m calling from the airline. Your flight to Seattle has been delayed. I’ve already found a seat for you on the 6:00 PM departure. Would you like me to confirm that now?”
  5. Interactive Resolution: The passenger agrees via voice. The agent updates the booking in the CRM and sends a new boarding pass via SMS.
  6. Deflection Success: Because the airline reached out proactively, the passenger does not call the busy airport desk, reducing the “spike” in inbound volume for human agents.

Step-by-Step: How to Enable This Feature

Proactive voice requires configuration in both the Dynamics 365 Contact Center and Azure Communication Services.

  • Step 1: Configure Outbound Settings

In the Contact Center admin center, navigate to Channels > Voice. Ensure you have a validated outbound phone number and the appropriate telephony carrier settings.

  • Step 2: Define Proactive Triggers

Use Power Automate or Dataverse to set up a trigger. For example, “When a Flight Status changes to ‘Delayed’, trigger the Proactive Voice Flow.”

  • Step 3: Create the Voice Agent in Copilot Studio

Design the “Outbound Conversation” topic in Microsoft Copilot Studio. Specifically, select an HD Voice and draft the script using variables (like {CustomerName} and {FlightNumber}) for personalization.

  • Step 4: Enable “Proactive Outreach” in Settings

In the Bot settings, navigate to Proactive Engagements and toggle the feature to On. Map your Copilot bot to the outbound voice channel.

  • Step 5: Set Governance & Quiet Hours

Configure “Quiet Hours” (e.g., no proactive calls between 9:00 PM and 8:00 AM) and “Frequency Caps” to ensure customers aren’t overwhelmed by automated calls.

  • Step 6: Launch and Monitor

Publish the bot. Use the Agent Activity Feed to monitor the success rate and customer responses to these proactive calls in real-time.

Infographic: Reactive vs. Proactive Voice

FeatureReactive Voice SupportProactive Voice Engagement
OriginCustomer initiates (High effort).Company initiates (Zero effort for customer).
Inbound VolumeLeads to massive “spikes” during crises.Smooths the curve by resolving issues early.
ToneOften defensive/apologetic.Anticipatory and helpful.
CostHigh (Human agents handling complaints).Low (AI agents handling resolutions).
Customer ImpactFrustration and wait times.Surprise, delight, and loyalty.

References

Announcing General Availability of Proactive Voice Enhancements in Dynamics 365 Contact Center 
copilot-studio

General Availability of the Microsoft Copilot Studio Extension for Visual Studio Code

Goloknath

with reference to above link pls provide 1. Topic name 2. Realtime user journey for this feature 3. Step by step how to enable this feature 4. Infographic

General Availability of the Microsoft Copilot Studio Extension for Visual Studio Code

This release brings “Pro-Code” capabilities to agent development, allowing developers to treat AI agents like traditional software by using an Integrated Development Environment (IDE), source control, and CI/CD pipelines.

Real-time User Journey

The extension enables a “local development loop” for building complex agents:

  1. Clone: The developer pulls an existing agent definition from the cloud (Copilot Studio) into their local VS Code workspace.
  2. Edit: Using the IDE, the developer modifies topics, tools, and triggers. They benefit from IntelliSense, syntax highlighting, and the ability to use GitHub Copilot to co-author agent logic.
  3. Review: The developer uses standard Git commands to stage changes, view “diffs” (what changed), and resolve conflicts before pushing updates.
  4. Sync: Once the local edits are ready, the developer “Applies Changes” to sync the local code back to the Copilot Studio cloud environment for testing.
  5. Deploy: The agent definition is checked into a repository (like GitHub or Azure DevOps), triggering an automated pipeline to promote the agent from Dev to Test to Production.

Step-by-Step: How to Enable

To start using the extension, follow these steps:

  • Step 1: Installation: Go to the Visual Studio Marketplace (or the Extensions view in VS Code) and search for/install the “Microsoft Copilot Studio” extension.
  • Step 2: Authentication: Sign in to your Microsoft 365 / Power Platform account through VS Code to link your environments.
  • Step 3: Connect to an Agent: Open the Copilot Studio icon in the VS Code sidebar. Browse your environments and select an agent to “Clone” locally.
  • Step 4: Develop: Open the generated folder structure. You can now edit the YAML-based agent definitions directly.
  • Step 5: Sync Back: After making changes, use the extension’s command palette or sidebar button to “Apply Changes” back to the cloud.

 Infographic: Pro-Code Agent Development

The following table summarizes the shift from “Low-Code” to “Pro-Code” with this extension:

FeatureWeb-Based (Low-Code)VS Code (Pro-Code)
InterfaceVisual Canvas (Drag-and-Drop)YAML / Text-Based IDE
CollaborationLive Presence / Shared CanvasGit, Pull Requests, Code Reviews
AI AssistanceNatural Language DescriptionsGitHub Copilot / Inline Chat
SpeedBest for quick prototypesBest for bulk edits & complex logic
DeploymentManual PublishAutomated DevOps / CI/CD Pipelines

References

Copilot Studio Extension for Visual Studio Code Is Now Generally Available