Governance & Operations

Controls and operations for data and AI you can defend.

Data governance, AI governance, security, and day-to-day operations for your data and AI platforms.

The problem

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

AI Agent Controls

Scope, permissions, logging, and approvals for AI agents.

  • Scope and permission templates for each agent
  • Action logging and audit trail
  • Human approval steps for high-impact actions
  • Switch-off procedure, spending limits, and escalation runbook

Master Data Starter

Starting models and matching rules for customer, product, and supplier data.

  • Data models for customer, product, supplier, and reference data
  • Match, merge, and survivorship rules to tune against your records
  • Stewardship workflows and data quality scorecards
  • Data contract templates for each source system
How it starts

The first step.

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.

How we work

See what the first step would be.

Tell us the business decision you want to improve. We will tell you what the first step would be and whether we are the right fit.

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