Services

Architecture diagram: an AI agent drafts a proposal that queues an approval request with context and risk rating, a human approves, modifies, or rejects it, and every outcome is logged.

AI Agents

Production AI agents scoped to real tasks, with tool use, guardrails, and human oversight.
Architecture diagram: an AI agent reasons over tools and calls them through the Model Context Protocol to act on CRM, ERP, ITSM, database, and data lake systems.

MCP Development

Secure MCP servers that give agents least-privilege, audited access to your systems.
Architecture diagram: an AI client reaches business systems only through an MCP server that enforces a tool registry, per-tool least-privilege policy, and a full audit log.

Copilot Studio

Microsoft Copilot Studio agents that inherit your Microsoft 365 identity, content, and governance.
Architecture diagram: a Microsoft Copilot Studio agent built from topics, actions, and knowledge, deployed into Teams, SharePoint, Dataverse, and Power Automate.

RAG & Enterprise Search

Retrieval-grounded answers from your real documents, with citations and access control.
Architecture diagram: enterprise sources are chunked and embedded into a vector store, retrieved per query, filtered by user entitlements, then answered by an LLM with citations.

AI Evaluations

Golden test sets, tool-call and safety probes — deploy on evidence, not on 'it worked once.'
Architecture diagram: a golden test set runs against the system under test, automated evaluators score accuracy, faithfulness, and safety, and a pass or fail gate blocks regressions.

AI Skills

Focused, reusable capabilities that make agents reliable at the specific things you need.
Architecture diagram: atomic skills such as search, summarize, call API, and critique compose into higher-order capabilities that form a complete agent.

Claude & Codex

Building with frontier models where they fit — chosen on the task, not on hype.
Architecture diagram: Claude and Codex agents work from a git repository in isolated branches, opening pull requests that pass through CI and human review before merge.

AI for Niagara

AI added around controlled Niagara building-automation workflows — read-only first, always.
Architecture diagram: an AI agent reads live Niagara building-management data read-only, proposes actions through a guarded action gateway with an allowlist, escalating risky actions for approval, with every action audited.

Engineering & CAD Agents

SolidWorks and AutoCAD MCP servers so agents act on real geometry - modelling, drafting, P&ID, BOM, and standards checks, all scoped and audited.
Architecture diagram: an AI agent drives AutoCAD through six scoped MCP tool clusters behind a least-privilege security boundary, executing via live COM AutoLISP or headless DXF, with geometry cleanup and CAD standards validation before export, and full audit and versioning.