Governance is either missing or so heavy that teams work around it. Policies sit in documents nobody reads while AI systems go live without a risk review. Regulators, customers, and insurers are asking how data is protected and how AI decisions are made. The answers are scattered across teams.
What we do
We set up governance as a working function, not a document. Clear owners. Policies enforced in the platform. Lineage and audit trails that answer questions before they are asked. AI risk management that fits how teams actually ship. We can also run the platform for you after it is built.
What we deliver
What you get.
The outcome
Data and AI systems you can explain to a regulator, a customer, or your board.
Data governance: ownership, stewardship, catalog, lineage, and quality
AI governance: policy, risk assessment, and model inventory
Data protection, privacy, and security architecture for data and AI platforms
Regulatory alignment, vendor due diligence, and customer security questionnaires
DataOps, FinOps, and managed operations for data and AI platforms
When to call us
Signs this is the right service.
AI systems are going live without a risk review.
Customer security questionnaires about AI take too long to answer.
You cannot list every AI system, model, and agent in use today.
Policies exist, but no one can show they are followed.
Accelerators
What we bring to this work.
Templates, code, tests, and documents we adapt to your data and systems, so the work starts on your problem. What we adapt for you is yours to keep.
AI Governance Starter
Policies, templates, and workflows to govern how your organization uses AI.
AI policy and acceptable-use standards
Risk assessment workflow and model and agent inventory
Evaluation Card and Control Register templates
Evidence packs for auditors, customers, and security questionnaires
We list the AI systems, models, and agents you already use, assess the risk of each, and set up the records a regulator, customer, or board would ask for. Then we build the controls into how your teams release work, so the records stay current without a separate review.
Every engagement runs on GIST: Ground, Iterate, Ship, Trust.
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