PLATFORM CAPABILITY · CONNECT & GOVERN
Active Governance
Policies enforced before exposure. Quality validated before consumption. Lineage built into every step, not reconstructed after the fact.
Access controls defined in spreadsheets, applied inconsistently. Lineage reconstructed manually when a regulator asks a question. Quality issues discovered at submission, not at source. Compliance teams audit what has already happened, with no ability to prevent it. Governance that only exists in documentation is governance that does not exist.
Instant
lineage retrieval, every data point traceable from source to submission
Runtime
policy enforcement, governance applied before exposure, not after
Auto
quality rules generated from regulatory requirements and data patterns
WHAT IT DELIVERS
Governance applied at the moment of access. Not documented afterwards.
Policies are applied before data is exposed to any consumer. Access is enforced at the semantic level, by role and by context. Quality checks run before data reaches a downstream use case. Governance is a control plane, not a documentation exercise.
Every data point carries traceable lineage from source to consumption. When a regulator asks a question, the answer with full lineage is available immediately, without reconstruction, without manual work.
Data quality rules are generated automatically from the semantic model and regulatory requirements. Every field is validated against those rules before inclusion in any data product or AI output. Issues are surfaced at source, not at submission.
Who can see what is enforced consistently at the semantic layer, regardless of how or where the data is consumed: BI tools, APIs or AI agents. Access policies are defined once and applied everywhere.
From policy definition to enforced access in three steps.
01
Access policies, data quality rules and classification labels are defined once in the governance model, attached to semantic entities. AI assists with rule generation based on data patterns and regulatory context. No code is required.
02
Every data access is governed by the policy engine before exposure. Role, context and classification determine what each consumer receives. Enforcement is automatic and consistent across all consumption paths, human and machine.
03
Every access event, quality check and policy decision is logged with full lineage. Audit responses are available instantly. Governance health, coverage, quality scores and open issues are visible in real time.
Built for regulated sectors
Fraud detected and prevented in real time — not after the fact.
Compliance validation reduced from weeks to hours.
Automated regulatory reporting at scale, fully auditable.
Grid, assets and the energy transition.
Patient outcomes improved, and defensible before the regulator
Active Governance in practice
Automated regulatory lifecycle with explainable AI, lineage and built-in data quality.
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60→14
Person-days per singlernregulatory report
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−80%
Effort per regulatory report
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<3 mo
Time to first measurablernresults
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−20%/ +20%
Tech cost vs. transactionalrnvolume (5y)
Ready to make governance enforceable, not just documented?
We work with compliance, risk and data teams across banking, insurance, public sector and regulated industry in Europe, UK and LATAM.
