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 Reads Everything. Meaning Is Where It Struggles.

Most Copilot pilots stall on meaning, not access. It can reach your documents, but it can't tell an approved definition from an abandoned one — so answers come from whichever file surfaced first. And what can't be checked doesn't get trusted.

"We rolled out Copilot to 4,000 people.Few of them trust it with a real question."

Business Semantics

Business Context

Business Rules

Context EngineValidated context

Copilots & LLMs

Metagem agent

Custom agents

Business Semantics

Business Context

Business Rules

Context EngineValidated context

Metagem agent

Custom agents

HOW METAGEM HELPS

Build. Connect. Ground.

Build

Step 1

Metagem reads your systems and documentation and assembles your business terms, rules, and mappings into one governed map. Metadata only, inside your own environment.

Connect

Step 2

That map is exposed as a single MCP endpoint and published as an agent under your own tenant. Copilot today, your custom agents next. No integration per tool.

Ground

Step 3

Your people ask questions where they already work. Answers come back built on the approved definition, with the owner and the source attached.

What You Get

Answers your people can act on.

Answers you can check

Grounded in the approved definition, not whichever document surfaced first.

Provenance on every answer

The source, the owning role, and the record of who validated it.

Nothing leaves your tenant

Read-only, metadata only, deployed inside your own private cloud.

One endpoint, any model

Copilot, custom agents, and whatever you standardise on next year.

Frequently Asked Questions

Common questions about grounding your agents.

Ready to give your Copilot something worth quoting?

Bring one domain. We build the context layer and show you the same questions answered with provenance.

Let's Talk