External data governance

How It Works: Who Owns the Facts Machines Use?

Establishing the verified company fact layer beneath machine decisions.

The shift in decision-making

The Information Chain Has Changed

THEN

CompanyHumanDecision

People researched your company and formed their own judgment.

NOW

CompanyAIHumanDecision

AI becomes the first filter through which people understand your business.

CompanyAI SystemAI SystemDecision

Automated AI systems research, evaluate, and make decisions before a human is ever involved.

The earlier AI enters the decision process, the less opportunity you have to manually correct a mistake.

02 / The new standard

One Brand. Two Strictly Separated Layers.

Marketing and company facts serve different purposes. Keeping them separate gives people the brand story and machines a verified, sourced, structured fact layer.

The Human Layer

Built for People

Your traditional website, branding, and PR.
Designed to inspire, persuade, and build your brand.
Managed by Communications and Marketing teams.
Because its main goal is persuasion, machines treat it differently from independently verified company facts.

The Machine Layer

Built for AI

A verified company fact layer built from primary and authoritative sources.
Structured for machine understanding in a Knowledge Graph.
Every fact is tied to clear provenance and verified by a person.
Established, verified, and continuously measured as systems and company facts change.

The Golden Rule

The same source cannot be both a promotional marketer and an objective verifier of company facts. The fact layer must have its own sources, owners, and verification.

The ownership gap

One Company. One External Picture. No Owner.

Inside Your Company

What each function knows to be true about your markets, products, capabilities, certifications, ownership, and locations.

The Machine Picture

What systems assemble from your website, registries, news, third-party pages, and any gaps between them.

The Decision

What customers, candidates, investors, journalists, partners, and automated systems believe and act upon.

The responsibility

Your teams can govern every internal piece and still leave the complete external fact picture without an owner.

The governance process

The Method: Establish. Verify. Measure.

ESTABLISH

Build the Fact Layer

We establish the facts that define your company from primary sources and structure them in a machine-readable Knowledge Graph.

VERIFY

Tie Every Fact to Proof

A person verifies every fact against its authoritative source, creating explicit provenance machines can evaluate.

MEASURE

Keep It Current

We continuously measure how machines use those facts, identify gaps early, and keep the complete fact layer current.

The research behind it

We apply neuro-symbolic AI research to pair language models with verified Knowledge Graphs, replacing statistical guessing with explicit data provenance.

External Data Governance Review

A Fact Layer Machines Can Rely On

Every verified fact and identified gap is tied to its source, creating a traceable record for external data governance.

Verified Facts

A clear record of the company facts machines can verify and the authoritative source behind each one.

Identified Gaps

Clear findings show where facts are unsupported, outdated, contradictory, or missing from the complete picture.

Continuous Measurement

Ongoing checks show how machines use your facts as sources, systems, and your company change.

Driven by Facts. Built for Trust.

See which of your facts machines can verify—before decisions are made from unchecked data.

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