/ en / work / enterprise-chatbot
Enterprise Conversational AI · Copilot Studio
Copilot Studio, Power Automate, secure authentication and governed enterprise integration
→ Business impact: Conversational solution progressed from POC to production — secure authentication, controlled ingestion, maintainable workflows, reusable patterns.
- Client
- Anonymised professional experience
- Role
- Design & delivery
- Period
- 2024 → 2025
- Status
- production
- POC → production pathway
- enterprise authentication
- controlled ingestion
- reusable pattern
Business context
A useful internal conversational assistant, in a frame where authentication, data-flow control and auditability are non-negotiable.
Constraints
- Enterprise authentication mandatory
- Connector and data-flow governance
- No shadow IT
- Business-maintainable content
Architecture
Architecture diagram — anonymised
Components: Copilot Studio · Power Automate · Dataverse · Enterprise SSO
Solution workflow
Content is collected and refreshed through controlled ingestion, served via business-maintained conversational topics, behind SSO end-to-end.
Key architecture decisions
- Explicit ingestion (Power Automate) over direct source wiring
- Dataverse integration within the governance frame in place
- Controlled IT → business transition: governance stays, iteration speeds up
My contribution
- Copilot Studio topics and Adaptive Cards
- Controlled ingestion pipeline
- Governed Dataverse integration
- Enterprise SSO
- Documented, reusable delivery patterns
Outcomes
- POC taken to production
- 100% authenticated access
- Patterns reused since
Confidentiality
Usage metrics and topology not publishable — the full target architecture is proposed in the Architecture Lab.
Learnings
- Low-code does not remove architecture: authentication, environments and ingestion decide success.
- Explicit ingestion is testable, replayable and auditable.
🚧 V-next — already in the works
This system ships continuously — the next stages are already on the bench. Come back to check the status, or ask the agent where it stands.
- V2: expansion beyond FAQ and guided journeys — the full target architecture (environments, DLP, ALM, CoE) is documented in the Architecture Lab.