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.

Start a conversation Accelerators we bring
The problem

Governance is either missing or so heavy that teams work around it. AI goes live without a risk review, and when regulators, customers, or insurers ask how data is protected, the answers are scattered across teams.

How we solve it

We set up governance that runs inside the platform: clear owners, enforced policies, lineage and audit trails, and AI risk reviews that fit how teams ship. We can also run the platform for you.

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
Accelerators

What we bring to this work.

Starting points we adapt to your data and systems. You keep what we adapt.

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
GroundTrustLearn More

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
TrustLearn More

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
GroundIterateLearn More
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.

How we work
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