The truth lives in your systems, and not one of them agrees.

The systems don't agree.
One spine you can query.

Fabric joins the systems the business already runs, native plus 300+ more via the connector catalog, into one governed knowledge graph. No rip-and-replace, no migration. So "which shots use this asset and who owns the latest version" becomes one question your people and your agents can answer, not an afternoon in Slack.

The daily friction
The truth about this brand lives across your systems, and not one of them agrees with the others.
'Which one is the latest?' is a Slack thread and a lost afternoon, not a query.
Every point-to-point integration I hand-wire breaks the moment someone moves a schema.
What changes for you
01

One graph over the systems you already run

Fabric joins Airtable, FileMaker and the rest natively, plus 300+ more sources through the connector catalog, into one governed knowledge graph mapped to a shared MovieLabs OMC model of 340 fields across 14 entity types. The systems finally describe the same thing the same way, without a migration.

02

'Which is the latest?' becomes a query

Permissions and version time-awareness are enforced inside the query itself, so Fabric flags current versus superseded as part of the answer. The question that used to be a Slack thread returns a single, governed result instead.

03

Ask the whole estate one question

Gateway is a read-only console over cloud, on-prem and tape. Catalog Q&A streams an answer, resolves permissions per question, and writes an audit row on every one. Read-only by design, so a question can never change your data.

04

Put agents on top, fully audited

Fabric exposes 23 entity MCP tools, so an agent platform like Claude, over MCP, the open agent-connector standard, can traverse the joined graph and answer questions that span systems, inside your permissions and audited end to end.

Your part of the stack

The pieces that earn their keep for data, operations & digital transformation.

Book the ones that fit your team, or the whole platform. Each shares one index.

A day in the life

One question that spans every system, start to finish

STEP 01

Fuse the systems into one graph

Point Fabric at the systems the business runs. It joins Airtable, FileMaker and the rest natively, plus 300+ more through the connector catalog, and maps them into one governed OMC graph of 340 fields across 14 entity types, read-only to start so nothing is touched while you get comfortable.

STEP 02

Ask the estate in plain language

Use the Gateway console to ask across cloud, on-prem and tape. The answer streams back with permissions resolved per question, current-versus-superseded flagged inside the query, and an audit row written on every one, so 'which is the latest' stops being a Slack thread.

STEP 03

Put an agent on top

Over Fabric's 23 entity MCP tools, an agent platform like Claude, over MCP, the open agent-connector standard, answers 'which shots use this asset and who owns the latest version' in one pass, joining systems that never agreed before, inside your permissions and fully audited.

Questions
How do I unify systems that don't agree without a migration?

Fabric joins the systems you already run, Airtable, FileMaker and the rest natively, plus 300+ more through its connector catalog, and maps them into one governed knowledge graph on the MovieLabs OMC model, 340 fields across 14 entity types. You query the joined graph instead of moving data or rebuilding schemas, and it starts read-only against your sources so nothing is migrated to prove it out.

Can an AI agent answer a question that spans all our systems?

Yes. Fabric exposes 23 entity MCP tools over MCP, the open agent-connector standard, so an agent platform like Claude can traverse the graph that joins your systems and answer a question like 'which shots use this asset and who owns the latest version' in one pass. Permissions and version time-awareness are enforced inside the query, and every answer is audited.

How do I stop maintaining brittle point-to-point integrations?

Instead of hand-wiring one system to the next and patching it every time a schema moves, Fabric joins them into one governed graph through its connector catalog, and Nexus orchestrates ingest across the stack so deliveries land checksum-verified and filed once. You maintain one governed spine, not a web of point-to-point hops that break on every schema change.

How fast can I prove this on our real systems?

The standard pilot is four weeks on one slice of the estate, read-only, with findings in your own numbers. Fabric joins the systems you name into one governed OMC graph, Gateway gives you catalog Q&A across cloud, on-prem and tape, and you can put agents on top over MCP by the end. You keep the context graph and the findings report.

Prove it on your own work

Four weeks. Your team's numbers.