The Case Management Agent in Dynamics 365 Customer Service can automate the complete case lifecycle—from creation and updates to resolution, follow-up and closure.
The important functional decision is not simply whether to enable it. It is deciding where a customer service representative must remain in control and where the agent may act autonomously.
What is the Case Management Agent?
The Case Management Agent processes customer interactions and case information using configurable flows. Microsoft divides its capabilities into three areas:
- Case creation and update: Creates cases from conversations and predicts or updates configured fields using available context.
- Case resolution: Identifies intent, gathers information, uses organisational knowledge and drafts customer responses.
- Follow-up and closure: Manages follow-up emails and closes cases when configured conditions are met.
Configure Case Management Agent – Microsoft Learn
Assisted vs autonomous processing
| Capability | Representative confirmation | Full automation |
|---|---|---|
| Case creation and field updates | The representative reviews suggested values before saving. | The agent creates or updates the case when sufficient context is available. |
| Customer response | The agent drafts the email; the representative reviews and sends it. | The agent sends the email through the configured application user and shared mailbox. |
| Resolution | The agent suggests a resolution for human review. | The agent can resolve the case when the intent and required information are clear. |
| Follow-up and closure | The representative reviews follow-ups and closes the case. | The agent sends follow-ups and closes the case using configured rules and wait times. |
| Best suited for | New, sensitive or complex processes. | Stable, repeatable and low-risk case types. |
For case resolution, Microsoft also provides Shadow mode, which predicts actions on live cases without sending emails or changing records. Disabled mode stops the agent from drafting responses.
Case resolution configuration – Microsoft Learn
Example business scenario
Consider a manufacturer receiving service emails about equipment faults.
A customer reports that a machine repeatedly stops during operation and includes the serial number. The Case Management Agent could:
- Create or update the case from the incoming interaction.
- Predict fields such as product, issue category, priority and serial number.
- Identify the customer’s intent and check the configured knowledge sources.
- Draft troubleshooting instructions or request missing information.
- Send follow-ups if the customer does not respond.
- Resolve the case or escalate it to a representative.
During an initial rollout, the business may require a representative to review every message. Once accuracy and exception handling are proven for a specific case category, that category could move to full automation.
Prerequisites to consider
The exact prerequisites depend on the capabilities being enabled. The documented requirements include:
- Enable AI agents for the environment in Power Platform admin center.
- An active Azure subscription and the required administrator or customer-service roles.
- Consumption-based billing where the underlying agent capability requires pay-as-you-go usage.
- Customer Intent Agent for intent-based case resolution.
- AI form-fill assistance and automatic record-creation rules for relevant creation scenarios.
- Configured channels, authenticated chat, workstreams, queues and voice transcription where applicable.
- An application user and shared mailbox for fully autonomous case resolution and outbound communication.
- Dataverse auditing and suitable permissions so AI-generated updates can be reviewed.
Case creation and update prerequisites – Microsoft Learn
Important functional decisions
Before configuration, agree on:
- Which case types and lines of business the agent may process.
- Which fields the agent can predict or update.
- Whether AI updates may overwrite fields edited by a representative.
- Which intents, knowledge sources and email templates are approved.
- What triggers case resolution and follow-up.
- The number and timing of follow-up emails.
- Supported communication languages and fallback behaviour.
- When the agent must escalate to a representative.
- How supervisors will monitor agent actions, exceptions and feedback.
The overwrite decision is especially important. Microsoft allows administrators to decide whether autonomous updates may replace values previously entered by a representative.
How should it be tested?
Start with a limited line of business and representative confirmation.
Validate:
- Case creation only occurs when sufficient context is available.
- Predicted fields are accurate, including lookup values.
- Intent classification and knowledge grounding are reliable.
- Email tone, templates and language are appropriate.
- Missing information produces the correct clarification request.
- Negative, unclear and unsupported requests are escalated.
- Follow-up rules, wait periods and closure conditions work as expected.
- Audit history and supervisor monitoring provide enough traceability.
Microsoft provides simulations for field prediction, resolution and follow-up scenarios. Depending on the capability, simulations can use selected organisational records or an Excel file and can process up to 100 records. Simulations and Shadow mode consume Copilot or AI credits.
Agent Feed and Agent Supervisor views can help supervisors review agent actions, communications, processing status, fallback reasons and escalations.
Configure autonomous agent monitoring – Microsoft Learn
Recommended rollout approach
- Define: Select one high-volume, low-risk case category.
- Simulate: Test historical and controlled sample cases.
- Observe: Use representative confirmation or Shadow mode.
- Measure: Review prediction accuracy, response quality, escalations and credit consumption.
- Automate: Enable full automation only for proven scenarios.
- Expand: Add further case categories gradually.
Frequently asked questions
Can the Case Management Agent create cases automatically?
Yes. It can create cases from supported conversations when enough context exists to populate the configured fields. It can also update cases using conversation or incoming-email context.
Does fully autonomous processing require a shared mailbox?
A dedicated application user and shared mailbox are required for fully autonomous case resolution and automated outbound emails.
Can the agent overwrite changes made by a representative?
Yes, but only when the administrator enables the option that permits autonomous updates to overwrite human edits. This should be agreed and tested carefully.
How are follow-ups triggered?
Follow-up can be triggered by customer-email context or a configured case status reason. Rules also define conditions, follow-up count, wait times and templates.
Is every capability generally available?
No. Availability and preview status vary by capability and region. For example, simulations and Shadow mode are documented as preview features, and autonomous follow-up has specific preview terms. Check Microsoft Learn before production deployment.
Final takeaway
The Case Management Agent is not a single automation switch. It is a set of configurable capabilities covering the case lifecycle.
For most organisations, the safest approach is to begin with representative confirmation, prove the rules and data quality, monitor results, and then grant full autonomy only to predictable, low-risk scenarios.
Automation provides speed. Clear functional boundaries provide control.
Responsible AI FAQ for AI agents – Microsoft Learn
The Case Management Agent in Dynamics 365 Customer Service can automate the complete case lifecycle—from creation and updates to resolution, follow-up and closure.
The important functional decision is not simply whether to enable it. It is deciding where a customer service representative must remain in control and where the agent may act autonomously.
What is the Case Management Agent?
The Case Management Agent processes customer interactions and case information using configurable flows. Microsoft divides its capabilities into three areas:
- Case creation and update: Creates cases from conversations and predicts or updates configured fields using available context.
- Case resolution: Identifies intent, gathers information, uses organisational knowledge and drafts customer responses.
- Follow-up and closure: Manages follow-up emails and closes cases when configured conditions are met.
Configure Case Management Agent – Microsoft Learn
Assisted vs autonomous processing
| Capability | Representative confirmation | Full automation |
|---|---|---|
| Case creation and field updates | The representative reviews suggested values before saving. | The agent creates or updates the case when sufficient context is available. |
| Customer response | The agent drafts the email; the representative reviews and sends it. | The agent sends the email through the configured application user and shared mailbox. |
| Resolution | The agent suggests a resolution for human review. | The agent can resolve the case when the intent and required information are clear. |
| Follow-up and closure | The representative reviews follow-ups and closes the case. | The agent sends follow-ups and closes the case using configured rules and wait times. |
| Best suited for | New, sensitive or complex processes. | Stable, repeatable and low-risk case types. |
For case resolution, Microsoft also provides Shadow mode, which predicts actions on live cases without sending emails or changing records. Disabled mode stops the agent from drafting responses.
Case resolution configuration – Microsoft Learn
Example business scenario
Consider a manufacturer receiving service emails about equipment faults.
A customer reports that a machine repeatedly stops during operation and includes the serial number. The Case Management Agent could:
- Create or update the case from the incoming interaction.
- Predict fields such as product, issue category, priority and serial number.
- Identify the customer’s intent and check the configured knowledge sources.
- Draft troubleshooting instructions or request missing information.
- Send follow-ups if the customer does not respond.
- Resolve the case or escalate it to a representative.
During an initial rollout, the business may require a representative to review every message. Once accuracy and exception handling are proven for a specific case category, that category could move to full automation.
Prerequisites to consider
The exact prerequisites depend on the capabilities being enabled. The documented requirements include:
- Enable AI agents for the environment in Power Platform admin center.
- An active Azure subscription and the required administrator or customer-service roles.
- Consumption-based billing where the underlying agent capability requires pay-as-you-go usage.
- Customer Intent Agent for intent-based case resolution.
- AI form-fill assistance and automatic record-creation rules for relevant creation scenarios.
- Configured channels, authenticated chat, workstreams, queues and voice transcription where applicable.
- An application user and shared mailbox for fully autonomous case resolution and outbound communication.
- Dataverse auditing and suitable permissions so AI-generated updates can be reviewed.
Case creation and update prerequisites – Microsoft Learn
Important functional decisions
Before configuration, agree on:
- Which case types and lines of business the agent may process.
- Which fields the agent can predict or update.
- Whether AI updates may overwrite fields edited by a representative.
- Which intents, knowledge sources and email templates are approved.
- What triggers case resolution and follow-up.
- The number and timing of follow-up emails.
- Supported communication languages and fallback behaviour.
- When the agent must escalate to a representative.
- How supervisors will monitor agent actions, exceptions and feedback.
The overwrite decision is especially important. Microsoft allows administrators to decide whether autonomous updates may replace values previously entered by a representative.
How should it be tested?
Start with a limited line of business and representative confirmation.
Validate:
- Case creation only occurs when sufficient context is available.
- Predicted fields are accurate, including lookup values.
- Intent classification and knowledge grounding are reliable.
- Email tone, templates and language are appropriate.
- Missing information produces the correct clarification request.
- Negative, unclear and unsupported requests are escalated.
- Follow-up rules, wait periods and closure conditions work as expected.
- Audit history and supervisor monitoring provide enough traceability.
Microsoft provides simulations for field prediction, resolution and follow-up scenarios. Depending on the capability, simulations can use selected organisational records or an Excel file and can process up to 100 records. Simulations and Shadow mode consume Copilot or AI credits.
Agent Feed and Agent Supervisor views can help supervisors review agent actions, communications, processing status, fallback reasons and escalations.
Configure autonomous agent monitoring – Microsoft Learn
Recommended rollout approach
- Define: Select one high-volume, low-risk case category.
- Simulate: Test historical and controlled sample cases.
- Observe: Use representative confirmation or Shadow mode.
- Measure: Review prediction accuracy, response quality, escalations and credit consumption.
- Automate: Enable full automation only for proven scenarios.
- Expand: Add further case categories gradually.
Frequently asked questions
Can the Case Management Agent create cases automatically?
Yes. It can create cases from supported conversations when enough context exists to populate the configured fields. It can also update cases using conversation or incoming-email context.
Does fully autonomous processing require a shared mailbox?
A dedicated application user and shared mailbox are required for fully autonomous case resolution and automated outbound emails.
Can the agent overwrite changes made by a representative?
Yes, but only when the administrator enables the option that permits autonomous updates to overwrite human edits. This should be agreed and tested carefully.
How are follow-ups triggered?
Follow-up can be triggered by customer-email context or a configured case status reason. Rules also define conditions, follow-up count, wait times and templates.
Is every capability generally available?
No. Availability and preview status vary by capability and region. For example, simulations and Shadow mode are documented as preview features, and autonomous follow-up has specific preview terms. Check Microsoft Learn before production deployment.
Final takeaway
The Case Management Agent is not a single automation switch. It is a set of configurable capabilities covering the case lifecycle.
For most organisations, the safest approach is to begin with representative confirmation, prove the rules and data quality, monitor results, and then grant full autonomy only to predictable, low-risk scenarios.
Automation provides speed. Clear functional boundaries provide control.
Responsible AI FAQ for AI agents – Microsoft Learn
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