Readiness is the distance between what you want AI to do for the business and what your people, data, systems and governance can carry today. An assessment measures that distance, names the gaps, and puts a defensible order on closing them. It is the shortest engagement Veriet runs and the first stage of an advisory mandate.
We run assessments for organisations of roughly 100 to 1,000 people, mostly Australian, where the CEO is in the room and AI has no internal owner yet. At that size the gaps are still cheap to close, and the organisation can move inside a year.
What is an AI readiness assessment?
An AI readiness assessment is a structured review of an organisation's strategy, data, technology, people, governance and operating model that establishes what AI can carry today, what it cannot, and the order in which to close the gaps.
It exists to prevent the two standard failure modes. The first is buying ahead of readiness: licences arrive before the ways of working around them, and the organisation pays for seats nobody uses. The second is waiting for readiness to arrive on its own, which it never does, while competitors compound their lead. The assessment replaces both with a measured position and a sequence.
What does the assessment cover?
Six dimensions, examined together because they fail together. Capable people on ungoverned tools are improvising policy from the desk, and a strong data position without a strategy has nothing to aim at.
| Dimension | What we examine | The question it answers |
|---|---|---|
| Strategy | Whether a position exists on where AI moves the business, and whether the executive team shares it. | Do we know what AI is for here? |
| Data | Where the data AI needs lives, who can reach it, its quality, and what may leave the business. | Can AI reach the information the work runs on? |
| Technology | The systems AI has to connect to, the tooling already licensed, and how much of it is switched on against real work. | Will the tools connect to how we operate? |
| People and fluency | Who uses AI today and at what depth, including the unofficial use nobody sanctioned. | Can our people carry the change? |
| Governance and risk | Policy, guardrails, alignment with the six essential practices, and what the board currently sees. | Could we defend our AI use if a regulator, insurer or customer asked? |
| Operating model | How the work gets done now, and whether process and ownership can absorb AI rather than bolt it on. | Will anything actually change? |
What does the engagement involve?
It runs 3 to 4 weeks, structured so the business does not slow down for it. The work runs in 3 passes: interviews with the executive team and the directors, usually 8 to 12 conversations, then a review of the systems, data and policy positions those conversations point at, then a working session where the findings are tested with the people who own them. Nothing goes in the report that the owner has not seen first, because a readiness score that surprises its own executive team is a score nobody will act on.
What do we get at the end?
- The readiness report: the six dimensions scored with the evidence behind each score, and the gaps named plainly rather than averaged into a maturity number.
- A ranked gap list, each with an owner, the cost of closing it, and the cost of leaving it open.
- A six-month roadmap sequencing the closes, so the board funds an order rather than a sentiment.
- A board summary short enough to read before the meeting, so directors can question management against it every quarter after.
Are we ready for AI?
Most organisations that ask are readier than they fear and less ready than their vendors say. The question is due when the signs accumulate: paid licences with usage nobody measures, pilots that ended without a decision, AI already in the workflow that nobody sanctioned, or a board asking questions that management answers from impressions rather than evidence.
Full readiness never arrives, because model capability moves quarterly and resets the frontier each time. The purpose of the assessment is narrower and more useful: to know which gaps matter for the value you are pursuing, and which can safely wait.
What happens after the assessment?
The report closes with a recommendation, and because Veriet advises and does not build, the recommendation can be to wait. Where the work continues, it usually takes one of three shapes. When the strategy gap is the largest, an AI strategy engagement settles where AI takes the business and in what order. When the exposure sits in ungoverned use, the governance and policy work gives the board the framework it is already accountable for. When the tools are in place and unused, fluency training puts them to work on the jobs the assessment found.
How Veriet works on readiness
The assessment opens the advisory mandate: it produces the evidence that strategy, governance and fluency decisions then run on. Engagements start with a conversation about where the business is going, so if that conversation is due, book it here or write to hello@veriet.co.