RiskAlmanac - AI Governance Platform

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AI GOVERNANCE PLATFORM

Governance by design, built on a blueprint of every AI solution

Approve more AI use cases, faster. Govern each one from ideation to production, with a story your regulator, your board, and your auditor will accept.

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Or start with a 4-week value sprint

NIST AI RMF · CVE · EU AI Act · ISO 42001

THE PROBLEM

If you're accountable for AI risk, this probably sounds familiar

What we hear from CROs and Heads of AI Risk in the first conversation

KNOWLEDGE

"My team is figuring out AI risks and controls as we go. Internal policies and standards haven't caught up."

VISIBILITY

"AI models are black boxes. I can't see the data feeding them, how they behave, or what's wrapped around them in production."

DEFENSIBILITY

"AI standards are still evolving. I can't point to a benchmark and say 'we meet this' the way I can for SOX."

VELOCITY

"I have a queue of AI use cases waiting on review, and my current assessment cycle is too long."

Governance has become the bottleneck, not the safeguard.

THE PARADIGM SHIFT

AI risk lives in the solution, not in a register

Policies and registers describe what should be true. They don't tell you whether your specific AI solution actually has the right controls in the right places. That's the gap RiskAlmanac closes.

A blueprint is a structured description of how an AI solution actually works, business and technology together: the process it serves, the decisions people make inside it, the data that moves through it, the models and vendors it depends on, and the points where those meet.

Risk does not arise only from technology. It arises from business process, from human decisions, from technology components, and most often from the interactions between them. You cannot see an interaction in a register row, and you cannot see a business process in an architecture diagram

A register lists what you have. An architecture diagram shows how the technology is built. A blueprint shows how the solution works, business and technology together.

As solutions become agentic, this stops being optional. An agent invokes tools, calls models and acts across business systems, so most of what can go wrong happens in the interactions rather than in any single component.

KNOWLEDGE

Curated

NIST AI RMF, ISO42001 and your internal policies, mapped into a curated AI risk and control library.

VISIBILITY

Blueprint

Every AI solution captured as a blueprint: data flows, model behavior, outputs and oversight. Because it is structured, risks and controls are derived from it rather than assigned by hand.

DEFENSIBILITY

Assured

Every control traced to the standard it came from and the point it attaches to, with evidence that it is operating as designed.

VELOCITY

Automated

Automated workflows from intake to approved control posture. Days, not weeks.

Governance by design isn't a promise. It's a sequence.

Engage at the architecture from ideation, and controls can be placed where risk enters and when it matters, instead of bolted on at deployment.

"Show me where in my solution this control attaches."

Ask any vendor selling AI governance. Most will tell you what controls apply. Almost none will tell you where. Fewer still, when.

HOW IT WORKS

One blueprint, traced from policy to proof

The same architecture carries the risk assessment, the controls, and the evidence. Nothing gets handed off blind.

Every risk and control traces back to one blueprint, sourced from policy, proven by evidence.

What lands on your desk

Four stages, one platform, nothing handed off between them.

CAPABILITY 1

Policy Foundation

Your internal AI policies and standards mapped to a NIST AI RMF baseline, with ISO 42001 and EU AI Act alignment. Automated scope and gap analysis shows what is missing, and the missing standards get drafted rather than logged as an action item.

CAPABILITY 2

Solution Blueprint

Every AI solution captured as a blueprint: data flows, model behavior, outputs, and oversight. Not a register entry recording that a system exists, but the architecture you can actually design controls against. One blueprint, carried from ideation through production.

CAPABILITY 3

Risk and Control Tailoring

Risk assessed against the blueprint and mapped to the points where it enters. Controls drawn from NIST AI RMF, ISO 42001, and your own policies and obligations, then tailored to the solution and to the lifecycle stage it is actually in, from ideation through production. You get a stage-wise control roadmap you can plan against.

CAPABILITY 4

Runtime Assurance

Controls carried into production with the evidence needed to prove they are operating, and a signal when the architecture drifts from what was approved. Whether that runs through your monitoring stack or ours.

Defensible to your regulator. Readable to your board. Actionable for your team.

Powered by RiskAlmanac's curated knowledge base: NIST AI RMF · ISO 42001 · EU AI Act. Risk assessment draws on external sources including CVE and ORX where they apply.

WHERE WE FIT

WHERE WE MEET

Three ways RiskAlmanac fits your stack

Wherever you are on AI governance, RiskAlmanac fits the way your organization runs risk and compliance today.

MODE 1

GRC-Connected

You already have a GRC platform. RiskAlmanac plugs into it: pulls your AI inventory and policies, pushes back risks, controls and compliance status per AI solution, and adds NIST AI RMF-aligned visibility your GRC doesn't have today.

MODE 2

Observability-Paired

You already have AI observability. RiskAlmanac sits alongside it, ingesting runtime signals to flag governance drift and answer "is this solution within approved governance boundaries?" rather than "is the model behaving?"

MODE 3

Standalone Platform

You're building AI governance from scratch. Full AI and technology GRC in one platform: inventory, blueprints, risk register, tailored controls and audit trail, available as SaaS for community banks, credit unions and mid-market firms.

Your existing stack is welcome. We meet you where you are.

TRY US OUT

A 4-week value sprint

Two of your priority AI solutions, governed end to end in four weeks. Policies mapped, blueprints built, controls tailored and carried into production.

WEEK 1 · CURATE

Policy Foundation

Your policies mapped to a NIST AI RMF baseline, with ISO 42001 and EU AI Act alignment, calibrated to your organization. Gaps identified across the set, two priority standards drafted.

WEEK 2 · BLUEPRINT

Solution Blueprint

Your priority AI solutions captured as blueprints: data flows, model behavior, outputs, oversight. The architecture, not an inventory row.

WEEK 3 · TAILOR

Risk and Control Tailoring

Risk assessed against each blueprint. Controls drawn from NIST AI RMF, ISO 42001 and your own policies, tailored to each solution and its lifecycle stage.

WEEK 4 · ASSURE

Runtime Assurance

Controls specified for production, with the monitoring signals and evidence your auditors will expect.

Where you start depends on where you are.

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Start governing AI by design, in weeks, not months.

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A 30-minute conversation. We'll walk through your AI governance challenges and show how RiskAlmanac maps risks and controls before deployment.

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