PLATFORM CAPABILITY · BUILD ON TOP
Governed AI Products
Productised AI applications built on the governed control plane. Auditable. Deployable on your own infrastructure. Designed for regulated environments.
Every AI project starts from scratch. Governance is retrofitted, if at all. And the next client means another build.
AI applications assembled with bespoke pipelines connecting to raw data stores, with no shared governance layer and no reusable foundation. Regulators ask for audit trails from model decision back to data source. The evidence does not exist in a form they accept. When the same use case appears at a new institution, the build begins again from zero.
Full
audit trail from model decision to source data explainable by design
Portable
AI Products deployed across multiple clients in the same sector, with no rebuild from scratch.
On your infra
data and agents remain within the customer's governed environment
WHAT IT DELIVERS
AI that owns a business outcome. Not just answers a question.
A Governed AI Product runs a regulatory reporting process, manages a loan portfolio or processes insurance claims end to end, on governed data, with an audit trail behind every decision.
Governed AI Products are built on top of the control plane. They inherit the semantic definitions, quality validation, access policies and lineage of the Governed Data Products they consume. Governance is not added afterwards. It is built in from the first line of the product.
Every AI Product action is traceable: which data was accessed, which model produced which output, which user authorised which decision. Regulated buyers receive traceable evidence, not assurances based on documentation.
AI Products run where the customer’s regulation allows: on-premise, in the customer’s cloud account or as SaaS. Data and agents remain within the governed perimeter throughout.
Vertical AI Products are packaged with agents, skills, MCP servers and ontology. The same product is deployed across multiple regulated institutions in the same sector without rebuilding from scratch.
01
AI Products are assembled on the Stratio control plane using agents, skills and MCP servers over governed data products. The ontology provides the semantic foundation; governance policies travel with the product from the first build.
02
The finished product is packaged as a versioned, distributable unit: agent definitions, skills, the MCP servers it exposes, the ontology that governs them and their quality rules.
03
The AI Product is deployed into the customer’s environment. The Semantic Layer agent maps the ontology to the customer’s actual data sources. The product operates immediately: no custom integration, no new pipelines, no extended delivery project.
Watch how a Governed AI Product is assembled on the control plane, packaged with its ontology and governance policies, and deployed into a regulated environment with no custom integration required.
Fraud detected and prevented in real time — not after the fact.
Patient outcomes improved, and defensible before the regulator
Compliance validation reduced from weeks to hours.
Automated regulatory reporting at scale, fully auditable.
Network, customer and B2B revenue intelligence.
Grid, assets and the energy transition.
Deliver real-time AI-driven actions on governed business data, with full explainability and policy control.
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+15%
Cross-sell effectiveness at the point of sale
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−20%
Customer churn at the point of sale
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3–6 mo
Time to first measurable results
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Reactive → Proactive
Field execution model shift
We work with regulated institutions and their technology partners across Europe, UK and LATAM.
