AI MCPs for your business
Agents that can actually reach your systems — scoped, logged, and allowed to touch only what you decide.
The challenge
AI can talk but can't act
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.
Our approach
Wrap your systems as governed tools
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.
Results
AI-ready in weeks, not years
Your existing applications become AI-ready in weeks, not years. One wrapping unlocks every AI agent — internal, partner, vendor — without re-integration. And governance and audit move from a per-agent problem to a per-tool problem, with one source of truth for who can do what.
What we do
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.
- A curated set of tools and actions per system — not a raw API dump
- Permissions, rate limits and input validation enforced at the MCP layer
- Works with the agent platforms you already use — Claude, Copilot, Foundry
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.
- Agents query through the same semantic layer, row-level security and audit log as humans
- Data products exposed deliberately — schema, definitions and freshness included
- Every agent query logged and attributable
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.
- Write operations curated one by one — create, queue, draft, propose — never blanket access
- Policy guardrails decide what runs straight through and what waits for a human
- Every action logged, attributable and reversible
A registry of MCPs across business functions — any agent on any platform (Claude, Copilot, Foundry) can discover and use them under shared governance.
- One registry of MCP tools across business functions, discoverable by any approved agent
- Shared governance: one access model, one audit trail, one place to switch things off
- New agents onboard in days, because the integrations already exist
Bring older systems — SQL Server, mainframe-fronted APIs, file shares, internal portals — into the agent ecosystem through adapters, without rewriting the systems themselves.
- Adapters bring SQL Server, file shares and internal portals into the agent ecosystem
- The legacy system stays untouched — the adapter carries the safety rails
- Same governance and logging as the modern stack
Proven in production
AI & Data
Sýn — An AI-native data platform
Iceland's telco and media group replaced a legacy warehouse estate with a self-running Databricks lakehouse — AI on both sides of the platform, and roughly half the run-rate.
AI & Data
Kvika — Five generations of a credit decision engine
Netgíró's credit decisions moved from a bureau score and human judgement to models that learn — halving risk losses, then improving through five model generations without a single rewrite.
Web & Mobile
Netgíró — Iceland's national payment method
Iceland's leading buy now, pay later platform — built and scaled over more than a decade of partnership.