Govern
Make AI safe to scale.
The controls required to deploy AI across the organization with confidence. Govern isn’t a phase. It runs underneath Advise, Engineer, and Operate, because the controls that make AI safe to scale have to be designed in, not bolted on at audit time. We work in regulated environments, and we build as if the auditor is already in the room.
Capabilities
Four capabilities. One team across all of them.
AI governance & risk
Policies for which AI uses are allowed, who approves them, and how risk is assessed, written to be followed rather than filed. We tie them to the systems themselves so the policy and the behavior can’t drift apart.
AI security
AI acts with the permissions of the person it serves, and sees only the data they can. We design identity, data boundaries, prompt-injection defenses, and secrets handling into the architecture.
Compliance & auditability
Every decision traceable to its inputs, sources, and the model version that made it. We build for HIPAA and SOC 2 environments and produce the evidence reviewers ask for.
AI quality & assurance
Evaluation suites and release gates that catch regressions before they reach users. Quality becomes something you can show, not something you hope for.
What you get
Things you can use. Not a slide deck.
AI use policy
What’s allowed, who approves it, and how it’s enforced in the systems.
Security architecture
Identity, permissions, and data boundaries for every AI system.
Audit trail
Inputs, sources, actions, and model versions recorded for each decision.
Release gates
Evaluations that must pass before any change reaches production.
Proof
Govern in practice. Shipped and running.
- Private EquitySecurity remediation across PE portfolio companies, with every item cleared inside the deal timeline.100% audit pass rate
- HealthcareAudit-ready justification tied to specific Medicare and Medicaid rules, generated with each score.Audit-ready documentation
- HealthcareAudit logging, call tracing, and compliance reporting built in for HIPAA reviews.250K+ appointments/yr
The rest of the lifecycle
Related pillars
- 01AdviseKnow where to apply AI.Find where emerging AI capabilities can create measurable business value, and build the roadmap to get there.Explore Advise
- 02EngineerTurn possibility into production.Build the applications, agents, integrations, and data infrastructure that put AI inside real business workflows.Explore Engineer
- 03OperateKeep AI working.Own and continuously improve AI systems after they reach production.Explore Operate
Go deeper
Make AI safe to scale.
Tell us what’s holding AI back in your organization: security, compliance, or policy. We’ll show you how to design the controls in.