AI Governance & Readiness · Build · 60 to 90 days
Governed AI, from policy to pilot.
AI deployments fail not from a lack of ambition but from unresolved gaps in policy, security posture, data governance, vendor integration and the team operating model. 3HUE builds the governance that fits how the business actually runs, and closes those gaps in order, so rollout is deliberate, defensible and built to hold.
Outcomes at a glance
Governance that holds up under scrutiny.
AI policy, controls and oversight that can be demonstrated to boards, auditors, regulators and enterprise customers, mapped to the security and GRC program you already run.
AI governance policy
Acceptable use, accountability, human review requirements and prohibited use cases, documented with a rationale employees and auditors can follow.
Model and data oversight
Controls for model risk, data quality, lineage and classification across AI systems in production and development.
Vendor governance
AI vendors, third-party APIs and externally sourced models tracked, assessed and governed with contract controls and ongoing oversight.
Operating model and decision rights
Roles, approval thresholds, escalation paths and review cadence defined for AI decisions, overrides and incidents.
Who it is for
Three seats at the table.
Building AI control frameworks that connect to existing security, privacy and GRC programs, with AI-specific controls and third-party risk coverage in place before deployment.
Managing AI regulatory obligations, acceptable-use policies and vendor contract requirements.
CTOs, data leads and architects who need governance guardrails, integration risk ratings and deployment sequencing before AI systems move into production.
What you get
Two workstreams, one program.
Governance components give the program its rules; readiness components make the environment able to keep them.
Policy, controls and accountability
- AI acceptable use policy: permitted use cases, prohibited applications, human review requirements and employee obligations.
- AI risk register: AI systems, associated risks, control owners and residual risk across the organization.
- Model risk and lifecycle framework: selection, validation, monitoring, change management and retirement for AI in production.
- Third-party AI oversight: vendor assessment criteria, contractual control requirements and ongoing oversight.
- AI incident response integration: existing incident response extended to AI failure modes, bias events and data exposure.
- Decision rights matrix: AI decision authority mapped to roles, with escalation thresholds and governance bodies.
Security, data, vendors, operating model
- Security readiness review: controls, access policies and monitoring assessed against AI deployment requirements.
- Data governance framework: classification, lineage, access controls and AI input and output handling policies.
- Vendor and integration risk review: AI contracts, API dependencies and data processing agreements, risk-rated.
- Operating model design: decision rights, escalation paths, human review checkpoints and monitoring cadence.
- Team readiness assessment: skill gaps, training requirements and role changes needed to sustain AI operations.
- Deployment roadmap: what to deploy, which controls must be in place first, and how to monitor and adjust after launch.
How delivery works
Three phases over 60 to 90 days.
Workstreams run in parallel across security, data, vendor and operating-model dimensions. Executive-led with embedded practitioner depth; direct access throughout, not delegated after scoping.
Discovery
Current-state assessment across all four readiness dimensions. Output: a gap register and a prioritized remediation list.
Remediation design
Framework, policy and operating-model development. Output: the policy suite, data governance framework, vendor risk ratings and decision rights matrix.
Deployment roadmap
Sequenced rollout plan with controls, milestones and monitoring. Output: the deployment roadmap and the post-launch review cadence.
Your security program
Controls map to the existing ISMS, risk register and policy structure rather than a parallel program.
SOC 2 and audit
Policies, vendor assessments and risk registers structured to support SOC 2 Type II and other assurance requirements.
Regulation
Designed with GDPR, the EU AI Act, NIST AI RMF and sector obligations in financial services and healthcare in mind.
Client Vision
Outputs land in the workspace as evidence, so the posture score and the board report reflect the program as it runs.
Free tool · Governance gap check
Eight components. How many are in place?
Tick each component you could show an auditor or a board tomorrow. Your answers stay in this browser.
Ways to work with 3HUE
See pricing for all three lanes →Questions
What leadership asks first.
How is this different from the Snapshot?
The Snapshot decides what matters and where the gaps are, in ten days. This program builds the policy, controls and operating model to close them, over 60 to 90 days. Most clients do the Snapshot first; the Build program is scoped from its 90-day plan.
Is this AI strategy consulting too?
Yes, where it is needed: use-case selection, vendor and platform evaluation, and investment sequencing are part of Discovery when the program has not settled them. Strategy decides what to do with AI and why; readiness checks whether the organization can do it safely. Most clients need both, and they run together here.
What does it cost?
Build engagements are scoped on the call from the Snapshot's findings. The Foundation build (a fixed 30-day term with forty engineering hours) covers the fast-start case; a full 60-to-90-day program is quoted against the workstreams in scope, and ongoing operation is the Managed lane. All pricing is on the Pricing page.
Who should do an AI readiness assessment?
Any organization planning or already piloting AI tools, and above all regulated organizations that must show control over data and vendors to a board, an auditor, a regulator or an enterprise customer.
Governed AI, before it scales.
Start with the Snapshot to surface the gaps, then build the framework your program needs. We respond within one business day.