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For CFOs and FinOps teams

How do you show what your AI and software spend actually returns?

Connect the spend to the work it supports, and set a baseline before you change anything. When every system maps to the processes and people relying on it, spend is explainable, and value is measured rather than asserted at renewal time.

What it costs to leave unsolved

AI costs growing faster than anyone can explain

Spend is visible in invoices; the value is not

No baseline, so there is nothing to measure against

Fear that cost controls will suppress adoption

Why has nobody fixed this already?

Finance tools see line items, not work. Without a model connecting systems to the processes and people that rely on them, every value conversation is assembled by hand, and it is easier to argue about the amount than to establish the worth.

How Valstra solves it

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

See what the spend supports

Omni maps which processes and people depend on which systems and subscriptions, so every line item has operational context and unexplained spend stands out.

Cost and value

Tie initiatives to measured value

A live benefits scoreboard links each initiative to goals, targets, and pacing, measured against the baseline set before the work started.

Cost and value

Manage AI cost with an operating rhythm

We work with you on measurement, budgeting, and operating controls for AI spend, connected to the model so controls target waste rather than usage.

Cost and value

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 subscription and AI spend list, however rough, plus the material that describes the work it supports. Manual and incomplete is expected: that is the situation this solves.

Who is involved, and for how long

A finance or FinOps owner, plus the system owners for short mapping sessions. We do the connecting; your team confirms what each system actually supports.

Time to the first useful output

Within days: spend mapped to the processes and people that rely on it, with under-used and unexplained items surfaced, and a baseline set for whatever you change next.

Project or permanent programme?

The baseline is a project; staying explainable is a rhythm. Renewal decisions and new AI spend land against a living model instead of a fresh spreadsheet each quarter.

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

Common questions

How quickly can we get a baseline?

The first working model of your processes and systems typically lands within days of an engagement starting. Omni generates it from documents and transcripts you already have. Value and spend views build on that model as measurement is wired up.

How is this different from cloud cost tools?

Cloud cost tools see infrastructure line items. Omni connects cost to the work: which processes and initiatives a system supports, and what value it was meant to return, so the conversation is about worth, not just amount.

Can you help us control AI spend without killing adoption?

Yes. Because spend is connected to the work it supports, controls can target waste rather than usage. We advise on budgeting and operating controls that keep adoption moving while the spend stays explainable.