Question 1

What counts as an AI asset?

Accepted Answer

An AI asset is anything in your organisation that creates AI exposure or makes AI-driven decisions. This includes models, agents, AI-enabled workflows, vendor tools with embedded AI, prompt repositories, datasets used by AI, and API integrations that send data to or from AI systems. governr treats AI broadly because risk often enters through tools and integrations, not just standalone models.

Question 2

How does governr discover AI across the business?

Accepted Answer

governr builds a living AI inventory from the places AI actually shows up: internal systems and third-party tools. With read-only visibility, governr identifies AI assets across common sources like code and repositories, cloud projects, documentation, procurement and vendor lists, and other operational records. The result is a continuously updated view of what AI is running, where it's used, and who owns it.

Question 3

How does risk scoring work?

Accepted Answer

governr uses context-of-use risk scoring, so assets are scored based on how they're used, not just what they are. Scoring considers factors like data sensitivity, whether AI sits in critical workflows, third-party exposure, and control coverage such as ownership, documentation, monitoring, and testing. governr also shows the drivers behind each score so teams can prioritise what to address first and explain decisions to stakeholders.

Question 4

How do you govern agentic AI and workflows?

Accepted Answer

governr treats agents and workflows as first-class AI assets. We inventory the agent, what it connects to, what data it can access, what actions it can take, and the dependencies it relies on (tools, APIs, plugins, MCP endpoints, and vendor services). We score risk by context of use and continuously monitor change: new tools added, permissions expanding, new external connections, drift in behaviour patterns, or new embedded AI functionality introduced by a vendor. The result is a living view of agent scope, traceability, and control, plus an audit trail for risk, internal audit, or regulators.

Question 5

How does this replace vendor AI questionnaires?

Accepted Answer

Questionnaires are point-in-time and self-reported, so they miss drift, embedded AI changes, expanding integrations, and shadow adoption. governr moves third-party AI assessment from periodic forms to continuous oversight. Instead of collecting static answers, you maintain an always-current inventory of vendor AI exposure, map where AI is present in your toolchain, track changes over time, and keep evidence up to date. You can still use questionnaires as intake, but governr becomes the system of record for ongoing oversight and proof.

Question 6

How do you handle model risk at scale across 100s of systems?

Accepted Answer

Traditional model validation does not scale when you have dozens or hundreds of models, agents, and AI-enabled tools. governr is designed for portfolio oversight: a complete inventory, standardised risk scoring by context, and continuous monitoring that prioritises what needs attention now. This lets risk and validation teams focus effort where it matters most, rather than treating every system like a bespoke multi-month review. The output is consistent controls, clear prioritisation, and evidence that stays current across the full AI estate.

Question 7

What is governr?

Accepted Answer

governr is an AI risk and oversight platform for enterprises that need continuous visibility across internal and third-party AI. It maintains a living AI inventory, applies contextual risk scoring across apps, agents, models, and plugins, and continuously monitors change so evidence stays current. The result is audit-ready proof, faster risk decisions, and defensible oversight as AI systems evolve.

Question 8

How long does implementation take?

Accepted Answer

Most customers are live within 2-4 weeks. governr connects to your existing systems with read-only access, so there's no complex deployment. You'll see your AI inventory and initial risk scores within days, not months.

Question 9

What integrations does governr support?

Accepted Answer

governr integrates with code repositories, cloud platforms, documentation systems, procurement tools, and common SaaS applications. We also support API access for custom integrations and can connect to virtually any system that stores information about AI usage.

Question 10

Is governr deployed on-premise or in the cloud?

Accepted Answer

governr is a cloud-native platform deployed on secure infrastructure. For enterprises with specific requirements, we offer flexible deployment options. All data is encrypted at rest and in transit, and we maintain SOC 2 compliance.

Question 11

How does governr handle our data?

Accepted Answer

governr uses read-only access to discover AI assets. We don't store your sensitive business data or AI model weights. We inventory metadata about AI systems, configurations, and risk indicators, and you control what's monitored and what's shared.

Question 12

Who is governr built for?

Accepted Answer

governr serves CROs, CISOs, Chief Compliance Officers, Heads of AI/ML, Model Risk teams, Internal Audit, and Third-Party Risk functions across financial services, healthcare, and other regulated industries.

Question 13

How do I get started?

Accepted Answer

Get in touch with our team. We'll discuss your AI landscape, show you how governr would inventory and assess your systems, and provide a custom roadmap for implementation.

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Static governance assessments

Control stack for AI does not exist

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AI Registry

See and control every AI asset. Internal, third-party, shadow. If it touches your data, it's in governr.

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80+ risk factors scored continuously. Not a questionnaire. Not annual. Real-time, in the context of YOUR business.

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