Why is wiring agents to business logic usually so slow?

Most teams end up hand-building RAG pipelines: manual chunking, ad-hoc embeddings, brittle retrieval logic, and constant re-indexing whenever a schema or document changes. The plumbing eats the project. Metagem replaces that with an automated context layer that extracts, validates, and serves your business logic to any agent, set up in days, not quarters.

How does this make agent outputs auditable and defensible?

Every definition, rule, and calculation served to an agent is versioned, owned by a named steward, and linked back to the source it came from. When an agent answers, you can trace the answer to the exact business context it used. That's what makes the output auditable in front of auditors, regulators, and your own risk team, including under the EU AI Act.

Can Metagem work with our existing catalog and agent stack?

Yes. Metagem integrates with Collibra, Microsoft Purview, OpenMetadata, and others. It layers validated business context on top of your existing stack and connects to any LLM or agent framework: Mistral, ChatGPT, Azure OpenAI, AWS Bedrock, or custom deployments.

How fast can we get started?

Most organisations see their first validated context served to an agent within days, not months. Metagem connects to your sources, classifies documents, extracts business context, and makes it queryable, all with minimal configuration.

Grounded AI Copilots

Copilot can read every document. It doesn't understand your business.

Ask it a policy question and it finds three versions of the same rule, then answers from whichever it reads first. Nobody can check where the answer came from, so the pilot never makes it into daily work.

“For me, the context is what will actually show whether we are getting results, or whether we are just spending time and money on tools.”

From a guess to an answer you can check.

One policy question, from the three answers behind it to the one the business agreed.

1A map of what you know

Every version of the rule found, conflicts flagged.

.docxCredit policy v3Blocked until paid

.pdfSales handbookManager approves

wikiCredit FAQUp to 10% over

What you see

Three versions of one rule, who owns each, and where they contradict.

2Inside your tenant

The agreed rule, connected to Copilot.

Agreed policies and rules↓ MCP ↓

CopilotFabric data agentsYour own agents

What changes

Your assistants follow the rule your owners agreed, not whichever file they find first.

3Traceable

Answers you can check.

With Metagem

ChatWorkWeb

Can we ship an order to a customer who is over their credit limit?

No. Orders for customers over their limit are blocked until the balance is paid.

Rule: credit policy v3, section 4.2 · Owner: Finance

The result

One answer the business can trace and trust. When nothing is agreed yet, it says so instead of guessing.

Your AI assistant, with and without Metagem.

Today

The assistant only knows what it happens to find.
Several versions of a rule, none marked as agreed.
Nobody can trace where an answer came from.
So the pilot stays a pilot.