Copilot Studio agents for GCC and GCC High
Agents built inside your government tenant, scoped to your cloud's connectors and features, with every answer traceable to its source.
Short answer
Puget Sound AI builds Copilot Studio agents inside GCC and GCC High tenants: generative orchestration for tool selection, citation-bound retrieval from approved sources, and a policy-enforced MCP layer for actions, all within your cloud boundary and documented for your authorization package.
Built inside your boundary.
Each agent uses Copilot Studio as the interface, generative orchestration to pick tools, and, where actions are needed, a Model Context Protocol server that enforces policy before anything touches Graph API, SharePoint, or Exchange.
Agents are retrieval-grounded and citation-bound, so users can trace every answer to its source document. In GCC High, the design follows the agent types and connectors that cloud supports today.
Common government agents.
Patterns built in production government environments. Details available under NDA to qualified evaluators.
Policy and personnel manuals
Verbatim answers with citations, no paraphrase.
Microsoft 365 administration
Plain-language requests turned into validated Graph API and PowerShell operations.
License anomaly detection
Contextual review of license assignments on a schedule.
Records classification
Small-model classification against retention schedules, with per-document records.
IT help desk triage
Structured intake routed to the right workflow.
Procurement research
Answers grounded in your contract and vendor records, with sources.
What gets delivered.
- A Copilot Studio agent configured for your GCC or GCC High tenant
- Generative orchestration that routes each request to the right tool
- Citation-bound retrieval that quotes sources rather than paraphrasing them
- An MCP server with policy enforcement and audit logging, where actions are needed
- Graph API integration with least-privilege permissions
- Staff training, runbooks, architecture diagrams, and version-controlled source
Pricing and path.
Single, well-scoped agents often take two to four weeks. Most government agent work fits inside an AI Jumpstart.
| Engagement | Price |
|---|---|
| AI readiness reviewConfirms what your tenant is ready for before a build. | $12,000 to $22,000 |
| Single agentTwo to four weeks for a well-defined use case. | Scoped |
| Government AI JumpstartSix to eight weeks, two to three production agents and flows. | $40,000 to $60,000 |
Available under FFP, T&M, micro-purchase, and simplified acquisition.
Government agent questions
Is Copilot Studio available in GCC and GCC High?
Yes. Copilot Studio is available for building agents in both. Connector catalogs are smaller than commercial, and in GCC High Microsoft Copilot currently supports declarative agents built with Agent Builder or published through admin controls, so we confirm what your tenant supports before design.
What makes a government agent different from a commercial one?
Fewer connectors, tighter default sharing, and features that arrive later. We design for those limits from the start instead of adapting a commercial build afterward.
Can an agent answer only from approved sources?
Yes. Knowledge agents can be configured to answer from approved SharePoint sites and documents with citations, and to say when no approved source covers a question instead of guessing. We test this with real questions before launch.
What is an MCP server and do we need one?
Model Context Protocol is a standard way to give agents governed access to tools and systems. Simple knowledge agents do not need one. Agents that take actions across several systems benefit, because authentication and logging live in one place.
Train your team first.
Government admins can train on Copilot Studio in their own cloud before or after the build.
Train your team on the AI you already pay for.
Tell us who needs training and we will send a recommended program and a fixed price. Or book 20 minutes and talk it through.