LumaPak Service Copilot

The premise

Service support is rarely short on documentation. The harder problem is that manuals, warranty rules, escalation paths, and safety constraints sit in different places while the person asking the question needs one reliable next step.

LumaPak models a Swiss industrial packaging-machine manufacturer with service operations, authorized support partners, warranty lookup records, and validation-sensitive escalation rules. LumaPak Service Copilot proves a first end-to-end support flow in Microsoft Copilot Studio, then adds the workshop agenda, use-case scorecard, governance checklist, and rollout plan a customer would need before adding more machine families, warranty checks, escalation paths, or service-case automations.

The support path

The tested path follows one support story from question to action:

1. 01

   A service engineer asks what error E142 means on the LP-700.

2. 02

   The agent answers from SharePoint-grounded troubleshooting content with a citation.

3. 03

   The same question works in German, with matching source grounding.

4. 04

   The agent returns warranty context for serial LP750-CH-10492.

5. 05

   The agent creates a structured service case through Power Automate.

6. 06

   The agent refuses a validation-bypass request and routes the issue to escalation.

The tested path is broader than a chat answer: it retrieves the right source, keeps warranty and case context together, supports German, and sends unsafe requests to escalation.

The delivery layer

For LumaPak, the agent is only useful if the service team can decide which sources to trust, what to automate first, who owns the risks, and how the rollout will be governed.

I added the consulting kit because a customer would need more than a working agent before rolling this into daily support:

• The discovery workshop brings service, operations, quality, IT, documentation, and support into the same room before the build expands.
• The scorecard turns the next use case into a decision rather than a guess.
• The business-case model estimates the support workload using modeled assumptions, not measured production results.
• The governance checklist names the owners, permissions, audit trail, unsafe prompts, expired warranty, and missing-source tests.
• The 90-day rollout plan gives the customer decision gates for discovery, build, and pilot.
• The pattern library gives later workshops a starting point once the first support path is proven.

Design choices

I started with a data contract because support agents become unreliable when the data is not clean and consistent. If the serial numbers, error codes, spare parts, service-case fields, and source documents all use the same terms, the answer is easier to check and the handoff is easier to trust.

I kept the source documents in Markdown so the knowledge base stays reviewable in Git, and I exported DOCX copies for SharePoint because that is the format I used for Copilot Studio grounding in the tenant. Markdown is for review, DOCX is for retrieval.

I added a short German source section because I did not want the German answer to depend only on translation. The agent should be able to cite German source text when the user asks in German.

I used the LP-750 PharmaLine cross-reference on purpose because the important test is not only whether the agent can answer. It also has to know when not to answer and route a validation-sensitive request to escalation.

Next engagement step

A sensible next step would be a stakeholder discovery session before adding more agent features. The use-case scorecard would decide whether to extend warranty lookup, escalation triage, service-case automation, or multilingual support first. The Power Automate action layer could then be improved where the chosen path needs stricter controls:

• Dynamic service-case IDs and field validation.
• Structured warranty lookup against the real system of record.
• Pilot acceptance tests for citations, unknown serials, expired warranty, unsafe prompts, and missing source coverage.
• A decision on whether Azure AI Search, CRM integration, ERP integration, or a field-service channel is justified by pilot evidence.