The next wave of AI doesn't just answer — it acts. Model Context Protocol (MCP) servers turn the systems you already own into safe, governed tools for AI agents — no rebuild required. Wrap once; any assistant works under your governance and your audit log.
Your assistants can summarize, draft and answer — but the moment something should happen, a person copies the answer into the real system. Every pilot ends at the same wall: the AI has no safe way to touch the systems where work actually happens.
Pointing an agent at raw APIs isn't the answer — no permissions, no audit trail, no way to explain later what acted on what.
We wrap the systems you already own — ERP, CRM, core platforms — as MCP servers: curated tools with permissions, validation and logging built in. No rebuild of what already works.
Wrap once, and any approved agent — Claude, Copilot, Foundry — can work with them under one governance model. Every action permissioned, logged and reversible.
Your existing applications become AI-ready in weeks, not years. One wrapping unlocks every AI agent — internal, partner, vendor — without re-integration. Governance and audit move from a per-agent problem to a per-tool problem, with one source of truth for who can do what.
Mid to late maturity. Becomes essential the moment you have more than one AI agent or more than one team building agents — that's when shared MCPs stop the chaos and prevent duplicated, ungoverned integrations.
Where this lands in practice. Each row opens with the detail — and what it buys you.
Wrap SaaS and internal applications (CRM, ERP, ticketing, billing, support) with MCP servers so AI agents can call them through a curated set of tools and actions — instead of being pointed at raw APIs.
The payoff. Every system you own becomes AI-usable without a single rebuild.
Expose data products from the lakehouse and semantic layer through MCP so agents query under the same governance, row-level security and audit log that human users do.
The payoff. AI answers from the same governed numbers the board reads.
Curated write operations — create a ticket, queue an approval, draft an email, propose a refund — exposed as MCP tools with policy guardrails and human-in-the-loop where it matters.
The payoff. Agents that do real work, with the blast radius designed out.
A registry of MCPs across business functions — any agent on any platform (Claude, Copilot, Foundry) can discover and use them under shared governance. Stops every team from inventing its own integration.
The payoff. Ten teams adopting AI without inventing ten integration stacks.
Bring older systems — SQL Server, mainframe-fronted APIs, file shares, internal portals — into the agent ecosystem through adapters, without rewriting the systems themselves.
The payoff. The systems too old to change join the AI era anyway.
Through the Moberg Delivery Framework — the same five stages, governance and engineering standards we run on every engagement, from business case to long-term run. Microsoft has independently validated the AI practice underneath — but judge us on a catalogue of governed tools your agents can't misuse.