Governance, risk, and control plane for enterprise AI
AI Gov Suite is designed to bring governance signals, policy evaluation, human approvals, operational controls, and audit evidence into one accountable enterprise layer.
Built for
AI Governance Posture
Enterprise overview
- Systems Under Governance
- Tracked
- Open Risk Signals
- Monitored
- Controls Under Review
- In progress
- Evidence Coverage
- Evidence mapped
- Executive Reporting
- Enabled
Illustrative posture overview — not a live system.
AI governance needs a runtime layer
AI has moved from experimentation to enterprise infrastructure. But most organizations still govern AI using policies, spreadsheets, committees, and post-facto reviews.
That is no longer enough.
Modern AI systems use prompts, agents, tools, APIs, vector stores, sensitive data, autonomous workflows, and human-in-the-loop decisions. Governance must move closer to runtime.
AI Gov Suite is designed to turn AI governance from a policy document into an operating discipline closer to runtime.
A control plane for AI governance
AI Gov Suite is designed to connect governance events, policy evaluation, exception handling, human approvals, evidence, and executive risk visibility within one control plane.
Observe
Capture AI activity, governance events, policy signals, and exception patterns.
Assess
Evaluate risk, data exposure, policy alignment, human approval needs, and operational impact.
Control
Support approvals, escalations, intervention workflows, remediation actions, and exception handling.
Evidence
Maintain auditable records for boards, regulators, compliance teams, and internal audit.
One suite. Seven governance outcomes.
AI Gov Suite is designed to operate as one control layer — a single view of AI risk posture, evidence, and accountability across the enterprise, rather than a collection of disconnected tools.
AI Inventory & Governance Readiness
Know what AI exists across the enterprise — systems, owners, risk tiers, and data sensitivity — as the foundation for governed AI adoption.
Runtime Oversight
Maintain visibility and oversight of AI systems in operation, with the ability to review and intervene where governance requires it.
Policy & Risk Evaluation
Evaluate AI activity against enterprise policy and risk expectations, and route exceptions to the right owners.
Evidence & Audit Support
Maintain audit-ready evidence of governance decisions and controls for boards, regulators, compliance, and internal audit.
AI Risk Operations
Track AI risks, incidents, exceptions, remediation, and ownership as a live operational risk posture rather than a static register.
Executive Governance Visibility
Translate AI governance activity into board-ready visibility of AI risk posture for executives, audit, and risk committees.
Privacy & Data Controls
Apply sensitive-data controls and privacy guardrails so enterprise AI aligns with data-protection expectations and obligations.
On the roadmap
Governance Memory
RoadmapRoadmap capability for institutional memory across policies, exceptions, approvals, incidents, and control history.
Where enterprises start with AI governance
Every organization enters AI governance from a different priority. These are the conversations we have with enterprise teams — focused on outcomes, evidence, and accountability, not implementation detail.
Governance Readiness
Discuss how your organization can establish a governed foundation for AI adoption, with ownership and accountability aligned to enterprise policy.
Discuss this pathRuntime Oversight
Discuss how your organization can maintain governed oversight of AI systems in operation, with accountability for how they behave.
Discuss this pathPrivacy & Data Governance
Discuss how your organization can govern sensitive data across AI-enabled workflows, with controls and evidence aligned to enterprise policy.
Discuss this pathAudit & Evidence Readiness
Discuss how your organization can be ready for audit and board scrutiny, with evidence of AI governance decisions and controls.
Discuss this pathExecutive Governance Visibility
Discuss how your organization can give executives and the board a clear view of AI risk posture and governance.
Discuss this pathAgentic AI Readiness
Discuss how your organization can adopt AI agents and automation with governed oversight, evidence, and accountability.
Discuss this pathDetailed walkthroughs are shared only in qualified enterprise conversations.
A governance operating layer for enterprise AI
AI Gov Suite is designed to connect AI inventory, governance controls, risk signals, exception handling, audit evidence, and executive visibility into one enterprise operating layer.
The model is minimal-intrusion by design: start with existing enterprise telemetry and evidence sources, then introduce preventive or operational controls only where the required assurance level justifies them.
AI Governance Posture
Illustrative AI governance posture overview: systems under governance, risk areas under review, evidence coverage, executive visibility, and an NDA walkthrough available on request.
- Systems under governance
- Tracked
- Risk areas under review
- Monitored
- Evidence coverage
- Evidence mapped
- Executive visibility
- Enabled
- NDA walkthrough available
- On request
Illustrative posture overview — not a live system.
It brings governance closer to how AI actually runs, so accountability is continuous rather than assembled after the fact.
Request a Private AI Governance Architecture BriefingShared under NDA, with the right stakeholders.
Detailed architecture and implementation walkthroughs are shared only in qualified enterprise conversations.
- Tailored to your governance operating model
- Mapped to your AI estate and risk posture
- Reviewed with the right stakeholders
Where enterprises apply AI governance
From a single AI governance operating view to regulated rollouts across banking, insurance, healthcare, HR, government, and enterprise operations.
AI Governance Office
Create a single operating view of AI systems, risks, controls, ownership, and evidence.
Agentic AI Oversight
Establish governed oversight for AI agents and automation, with controlled escalation and enterprise accountability.
Privacy & Data Governance
Support privacy and sensitive-data governance across AI-enabled use cases, with controls and evidence aligned to enterprise policy.
Board & Audit Reporting
Generate evidence-backed governance reports instead of manually assembling AI risk updates.
Regulated AI Rollouts
Support structured rollout of AI systems across banking, insurance, healthcare, HR, government, and enterprise operations.
A governance operating view for your AI estate.
Request a Briefing →Designed for the deployment model your governance requirements demand
The architecture is designed for regulated and sensitive environments, including private-cloud, on-premise, and hybrid deployment models.
Private cloud
Designed for customer-VPC or tenant-isolated deployment.
On-premise
Designed for internal-network and data-residency requirements.
Hybrid
Designed for controlled integration across enterprise environments.
Advisory-led implementation
/tmp Labs can support governance design, AI inventory, control mapping, and deployment readiness.
Designed to support your governance program
AI Gov Suite is designed to support enterprise AI governance programs aligned with emerging AI risk and management frameworks, including NIST AI RMF, ISO/IEC 42001-style AI management system thinking, and jurisdiction-specific regulatory obligations.
It does not replace legal, compliance, or audit advice. It provides the operating layer, evidence model, and governance workflow enterprises need to make AI governance executable.
Request a private AI governance architecture briefing
Talk to our team about establishing a governance operating layer for your AI systems — from AI inventory and runtime controls to audit-ready evidence.
Built for CIOs, CROs, CISOs, Compliance, Internal Audit, and AI Platform teams.
Architecture-level walkthroughs are available under NDA for qualified enterprise stakeholders.