Governed Agent Implementation
Configure one bounded assistant around approved sources and human authority.
Generic AI can accelerate output without showing which sources, limits, decisions, or people make the result trustworthy.
Outcome: Deploy a Delivery Agent with a named job, governed context, evaluation criteria, explicit review gate, and traceable result.
Supports: Delivery Agents implementation and adoption.
We'll confirm the accountable product, the first workflow worth changing, and a delivery phase your team can evaluate.
Request a scoped assessmentThe Challenge
AI tools that sound impressive but don't actually help with real engineering tasks
Document silos where information exists but can't be found when needed
Engineers spending hours drafting routine correspondence and documentation
No institutional memory — when experts leave, knowledge leaves with them
Our Approach
Domain Analysis
Map your engineering vocabulary, document types, and workflow contexts to build a domain-specific foundation.
Knowledge Architecture
Design the information architecture that enables relevant retrieval — not just semantic search.
Agent Development
Build agents with access to your specific data, trained on your terminology and workflows.
Evaluation & Refinement
Benchmark agent performance against real engineering tasks and refine based on actual usage patterns.
Deliverables
Document Intelligence Agent
AI agent that answers questions about your documents using your actual terminology and context
Project Q&A System
Chat interface for project information — status, decisions, action items, and document retrieval
Automated Drafting
AI-assisted document drafting for routine engineering correspondence and documentation
Delivery Agents
Three standard packs plus the Delivery Agent Toolkit for repeatable prompts, connectors, evaluations, and deployment runbooks
Delivery Agent Toolkit
Implementation toolkit for packaging prompts, workflows, connectors, evaluations, and deployment artifacts behind Delivery Agents
Copilot Customization
Custom Copilot skills and prompts trained on your engineering workflows
Frequently Asked Questions
How is this different from standard Copilot?
Microsoft Copilot provides general AI capabilities. Delivery Agents package specific delivery workflows into governed agent packs, starting with Document Intake Agent, Project Knowledge Agent, and Compliance Review Agent.
What data stays in our tenant?
All data stays within your Microsoft 365 tenant. We don't use your data to train external models. Agent configurations and learning remain within your environment.
Can this work with our existing EDMS?
Yes. Our agents can connect to SharePoint, Documentum, Aconex, and other systems via APIs and connectors. We build the integration layer that makes your existing data accessible to AI.
What's the implementation timeline?
A focused starter pack typically takes 4-6 weeks to pilot. Broader rollout depends on data readiness, integrations, and the governance controls required for additional packs.
Choose the first product workflow worth changing
We'll confirm the accountable product, the delivery constraints, and a first phase your team can evaluate.