A productized service to design, build, and deploy Microsoft Copilot Studio agents for specific enterprise use cases — grounded in your own governed data, delivered on a fixed scope and timeline.
Most internal AI initiatives stall because the scope is undefined, the data grounding is missing, or the path to production is unclear. This service exists to eliminate those failure modes. Each engagement targets a single, named use case and delivers a production-ready agent against it.
Capability Overview
LEADSTEC currently supports execution work in the following areas, carries different operational risk, and therefore follows different execution rules, as outlined below.
Typical Use Cases
- Internal knowledge assistant — HR policies, IT support, operational runbooks
- Business data Q&A agent — grounded in ERP, product, or customer data
- Document and contract assistant — search, extraction, summarisation
- Process guidance agent — step-by-step workflow assistance for staff
- Customer-facing support agent — with structured handoff to human operators
What the Engagement Includes
Scoping & Design
Use case definition, target user mapping, conversation flow design, data source identification, and grounding strategy. Scope is agreed in writing before build begins.
Build & Grounding
Copilot Studio agent build, knowledge source connection, prompt and topic design, response governance rules, and integration with Microsoft 365 or external systems where required.
Production Handover
Testing against real data, deployment to your tenant, administrator handover, and documentation. The agent is owned and operated by your team after handover.
Delivery Model and Scope
Delivery Model
- Fixed-scope, package-based engagement
- Remote delivery from start to handover
- Defined timeline, defined deliverables, defined acceptance criteria
- One named use case per engagement; additional use cases run as separate engagements
What Is Not in Scope
- Multi-agent orchestration platforms — covered under Enterprise AI Implementation
- Cross-system integration beyond the defined data sources
- Custom model training or fine-tuning
- Long-term operational support — separate engagement
Discuss a Use Case
If you have a specific internal scenario where a Copilot Studio agent could replace manual lookup, repetitive Q&A, or unstructured support effort, contact us to scope a package-based engagement.
flowchart TD User(["User"]) Agent["Copilot Studio Agent Grounded in enterprise data (Microsoft Copilot Studio)"] SP["SharePoint Knowledge Base (governed)"] ERP["Cloud ERP (reference data)"] DPP["DPP System (product records)"] Note["Not general internet knowledge Not hallucinated answers Responses traceable to source"] User --> Agent Agent --> SP Agent --> ERP Agent --> DPP SP & ERP & DPP -. governs .-> Note