Client Success Story: AlphaBOLD Delivers Dynamics 365 Copilot for a Semiconductor Support Team

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AlphaBOLD helped a semiconductor and electronic hardware company bring AI directly into its Dynamics 365 Customer Service workflow through an embedded Copilot agent. The solution helps support users to surface relevant historical case context, reduce manual research across systems, and create a scalable foundation for future Copilot and agent initiatives.

When Support Knowledge Lives Across Too Many Places

For highly technical support teams, resolving a case often depends on more than the information immediately available in CRM. Support users need to understand product context, engineering history, prior customer issues, related cases, and troubleshooting patterns before they can confidently move toward resolution.

That knowledge existed, but finding it was not always simple. Customer service, technical support, product support, and internal engineering users often had to research related cases across multiple systems before they could begin resolving the issue at hand. The process required time, judgment, and repeated manual effort.

The customer did not need AI as a separate assistant sitting outside the workflow. It needed AI inside the place where support work was already happening.

Why a Standalone Chatbot Was Not the Answer

The challenge was not just access to AI. It was access to the right context at the right moment.

A standalone chatbot could answer questions, but it would not naturally understand the case a user was working on, the related historical cases that mattered, or the CRM workflow where the next action would happen. For this customer, the better path was to embed agentic assistance inside Dynamics 365 Customer Service.

AlphaBOLD identified case similarity and support research as the first high-value use case. This workflow directly affected how quickly support users could understand an issue, connect it to prior case history, and apply relevant knowledge consistently.

The goal was clear: reduce manual research effort, improve consistency in case resolution, and create a scalable foundation for future Copilot and agent projects.

Embedding Copilot Where Case Work Happens

AlphaBOLD designed and deployed a production Copilot agent embedded directly inside Dynamics 365 Customer Service through a configurable Agent PCF control.

Instead of requiring users to leave CRM, open another tool, or manually search across systems, the agent appears inside the case experience. It works with active case context, retrieves similar historical cases, and surfaces relevant information where users are already reviewing and managing support work.

The solution brought together:

  • Dynamics 365 Customer Service
  • Copilot Studio
  • Dataverse
  • Power Automate
  • Entra ID
  • Dynamics security roles
  • Power Platform environment variables
  • Custom web resources
  • Configurable Agent PCF control
  • Embedded side pane architecture
AlphaBOLDs embedded copilot solution
The agent supports approximately 10–20 users across technical support, product support, customer service, and internal engineering support.

From Manual Case Research to Agent-Assisted Resolution

Before the solution, support users had to search across systems, compare historical cases manually, and decide which prior information was relevant to the current issue.

With the embedded Copilot agent, a significant portion of that research now happens inside Dynamics 365 Customer Service. Users can stay in the case form, access AI-assisted case similarity insights, and apply relevant historical knowledge without switching systems.

This changed the support workflow in a practical way. The agent did not create a new workstream. It enhanced the existing one.

Early project reporting indicates that cases resolved based on case similarity increased by 25%, pending final customer validation.

Building the Agent for Enterprise Trust

Because the agent connects to enterprise support data, AlphaBOLD designed the solution with security, governance, and responsible AI considerations from the beginning.

The delivery approach included:

  • Separate app registrations for agent authentication and backend workflow execution
  • Dedicated application users
  • Entra security groups
  • Custom security roles
  • Least-privilege access controls
  • Role-based visibility
  • Row-level and field-level security considerations
  • Restricted entity access
  • Access-denied scenario testing
  • Prompt-injection risk review
  • Safe error handling
  • Structured deployment from sandbox to testing and production

This helped ensure the agent could provide useful case context without exposing information beyond what users should be able to access.

Designing for Future Agents, Not Just One Use Case

AlphaBOLD did not design the agent as a one-off implementation. The configurable Agent PCF control was built as a repeatable framework that can support additional agents, side panes, and business workflows.

Future agents can be configured using reusable patterns such as:

  • Agent schema values
  • Direct connection settings
  • Environment variables
  • Role-based visibility
  • Form-load or action-based triggers
  • Reusable side pane configuration

This gives the customer a practical path to expand from the first support agent into additional Copilot and agent initiatives without rebuilding the foundation each time.

The customer has confirmed that this is the first project in a broader series of planned Copilot and agent initiatives.

The Turnaround Through AI

This engagement shows the potential of AI when it is embedded into daily workflows, grounded in enterprise data, and governed through Microsoft security controls. It can help employees work with better context and less manual effort.

For this customer, AlphaBOLD helped turn manual case research into an agent-assisted workflow inside Dynamics 365 Customer Service. Support users can access relevant historical case context from within the case experience, helping teams work with greater speed, consistency, and confidence.

For future use cases, the same framework can support additional agents across support, product, engineering, and customer-facing workflows.

Bringing Copilot into the Flow of Technical Support

Ready to Bring Copilot and Agents into Your Business Workflows?

AlphaBOLD helps organizations move from AI experimentation to secure, embedded, and scalable agentic solutions built on Microsoft technologies.

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