For commercial organisations

Know where AI pays off before you spend on it.

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The situation

Three familiar starting points

Orsana helps commercial organisations find the uses worth making official, set governance the board will stand behind, and build the systems that survive contact with real work.

  • Two teams, two tools, no decision.

    AI arrived through personal accounts and team-level purchases. Nobody signed off, and no one can list what is in use.

  • The pilot nobody can score.

    A pilot has run for months. It has fans and a renewal date, and nobody can point to what it earned.

  • The board wants a position.

    Before the next planning cycle, directors expect to know where the firm stands: what is allowed, what is planned, who is accountable.

The practice

What this looks like inside a firm

The same three practice areas and the data work behind them, framed here for firms that answer to owners, customers and a balance sheet.

  1. AI Governance

    Governance the board can approve in one sitting.

    Policies, decision rights and oversight, written for how the firm actually operates. Clear lines on client data, disclosure and accountability, so the firm’s use of AI stands examination by a customer, an insurer or a regulator.

  2. AI Capability

    The judgement to weigh a use case, built inside the firm.

    Working sessions for boards, executives and teams. Practice at testing a proposed use, pricing a risk, and knowing when an output should not be trusted. What the sessions build belongs to the firm’s own people, with no ongoing dependency on Orsana.

  3. AI Enablement

    Working systems, built where the return is proven.

    Assistants, automations and integrations: intake triage, quoting, document processing, and the response times that follow. Scoped tightly enough to hand to the firm’s own team or a vendor, and governed from the first day.

Also in the practice

Data Analysis and Visualisation

The numbers behind the decisions, made legible.

What a process costs, what a change returned, where the next constraint sits. Analysis and visualisation that hold up in a boardroom, with the working shown.

Safety-critical AI work is the strictest training ground for the questions your board is about to ask.

Orsana was founded by Monty Daley, who built and governed AI systems at Netsafe, New Zealand’s independent online safety organisation: systems where an error carries a real cost, judged on their worst day, run at public scale. Read about the practice.

Get in touch to see how Orsana can help your organisation.

A short conversation, no obligation. Monty replies personally.