For risk, compliance, and security leaders

How do you evidence your controls without a scramble before every audit?

Connect each control to the processes it governs and the evidence behind it. The evidence usually exists already, scattered across a wiki, an inbox, and a dozen spreadsheets; the connections are what is missing. Once they exist in one model, assembling proof stops being a project, and gaps surface before an auditor finds them.

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What it costs to leave unsolved

Evidence gathering is manual every time, and stale the day after

Controls that exist on paper but cannot be shown operating

No reliable picture of where AI is actually in use

Audit preparation consumes weeks the team does not have

Why has nobody fixed this already?

Policies and controls live in documents, while the work they govern lives in systems and people's routines, and nothing connects the two. Annual review cycles cannot keep up with how fast AI is entering everyday workflows.

How Valstra solves it

Omni provides the platform capabilities; Valstra's experts make the change stick inside your organisation.

Model where AI actually operates

Your processes, people, systems, and data in one living model, so "where does AI belong, and where is it already?" has a grounded answer.

Process intelligence

Turn governance decisions into evidence

Omni's AI governance module works through eight foundational components, and each decision becomes a documented, auditable process with owners, systems, and controls visible in the model.

AI governance

Prepare for the frameworks that matter

We help you get ready for expectations like the NIST AI RMF, ISO/IEC 42001, and Australian obligations, with controls connected to real work rather than a binder on a shelf.

AI governance

What to expect

The four things worth knowing before you talk to any vendor, answered for this one.

What we need from you to start

Your policies, control registers, committee papers, and whatever describes the work those controls govern. Scattered is fine: connecting scattered material is the point.

Who is involved, and for how long

The risk or compliance owner, plus short sessions with the process owners whose work the controls touch. Evidence assembly is the work we take off your team, not add to it.

Time to the first useful output

Within days: a model connecting your controls to the processes they govern, with the gaps (controls without evidence, work without controls) made visible.

Project or permanent programme?

The initial connection is a project; staying evidence-ready is a rhythm. Because controls live in the same model as the work, keeping them current is maintenance, not a fresh scramble each audit.

Wondering how far to trust AI-generated answers about your business? Read how we constrain the AI.

Common questions

Which frameworks can you help us prepare for?

Common targets include the NIST AI Risk Management Framework, ISO/IEC 42001, and Australian obligations such as FSC Standard 31 for wealth and asset managers. We help you structure decisions, controls, and evidence for readiness; we are not a certification body.

Does this cover AI features inside SaaS tools we already use?

Yes. Omni maps process steps to the applications that enable them, including AI features embedded in the SaaS tools you already run, so embedded AI shows up in the same model as everything else.

Does this replace our GRC tool?

No. It gives your controls a home connected to how work actually happens, so evidence assembles from the model. If you run a GRC platform, Omni complements it with the operational picture it lacks.