Most organisations approach AI from the wrong end. They start with a tool, run a pilot, and ask afterwards what it was for. A strategy engagement runs the other way: it starts with where the business is going, decides where AI changes that trajectory, and only then asks what to deploy. Veriet advises and does not build, so the recommendation is never shaped by what we would like to be hired to construct.
We run these engagements for organisations of roughly 100 to 1,000 people, mostly Australian, where the CEO is in the room, a board is in place, and AI has no internal owner yet. At that size AI can move the whole profit and loss line, and the organisation is still small enough to change inside a year.
What is an AI strategy?
An AI strategy is the document that decides where AI changes the business, in what order, and what has to be true of the people, processes, data and technology for the change to hold.
It is a business document rather than a technology one. It names where the return shows up, which is usually revenue before cost, because cutting has a limit and getting better does not. It ranks the use cases worth building against the ones worth ignoring. It also sets the guardrails the board governs by, which is where strategy meets governance and policy: the two documents are written to serve each other, and a policy adopted without a strategy tends to prohibit more than it protects.
What does the engagement involve?
The work runs in four stages, and the first three land the plan while the fourth keeps it honest.
| Stage | The work | What you hold |
|---|---|---|
| 01 · Business and AI strategy | Interviews across the executive team and the directors, read against the strategy the business already has. The question is where AI changes the trajectory, and the answer is specific to your economics rather than lifted from a maturity model. | A position on where AI moves the business, agreed by the people who own it. |
| 02 · Use-case discovery | Working sessions with the people who own the work, because the highest-value use cases live in the workflows rather than the org chart. Each candidate is scored on value, feasibility and the data behind it. | A ranked use-case portfolio with a named owner for each. |
| 03 · Operating model design | The arrangement of people, process, data, technology, automation and agents that decides how the work gets done once AI is in it. This is where most strategies fail, because a use case without an operating model change is a demo. | A target operating model and a roadmap sequenced over 6 to 12 months. |
| 04 · Ongoing counsel | A retained mandate as the plan meets reality. We hold interim ownership of AI until the organisation names its own owner, and model capability moves quarterly, so the strategy is re-tested against what became possible and the board keeps a standing view it can question. | An interim owner of AI, accountable to the board rather than to a delivery pipeline, with the handover designed in from the start. |
A relaunch engagement for a global talent company followed exactly this shape: interviews across the business, synthesis into the highest-value opportunities, and a strategy sequenced over the following 8 months that gave the leadership team a defensible order for what got rebuilt first.
What do we get at the end?
The engagement closes with four artefacts the board can act on:
- The strategy itself, short enough to be read and specific enough to be funded, with the return named in revenue and cost terms.
- A ranked use-case portfolio, each with an owner, the data it depends on, and the reason it beat the candidates below it.
- An operating model design covering people, process, data, technology, automation and agents, with the roadmap that sequences the change.
- A board reporting rhythm: what management reports about AI, how often, and the measures that show whether it is working.
Why does strategy come before tools?
Because the tool question is the cheapest one to answer and the most expensive one to answer first. Licences bought ahead of a strategy arrive without the ways of working around them, which is why so many organisations pay for seats nobody uses. When the strategy settles where the value is, the tool choice follows in an afternoon, and the fluency work that puts it on every desk has something to aim at.
How is this different from hiring an implementation firm?
An implementation firm earns from what it builds, so its strategy work tends to conclude that something should be built. Veriet holds only advisory mandates: we work for the executive team and the board, we recommend across vendors, and when a build follows we help you buy it well rather than selling it to you. The counsel stays independent because nothing downstream depends on the answer.
Who sits in the room?
The CEO, the executive team, and the board where the decisions touch its duties. Five decisions cannot be delegated below the leadership team: which tools are approved for which work, what company and customer data may leave the business, how agents are supervised and who can stop one, who owns redesigning how the work gets done, and how you will know it is working. The engagement is structured so those five are made deliberately, on the record, by the people who carry them.
How Veriet works on strategy
Advisory is Veriet's flagship mandate, and it anchors the wider practice: governance gives the strategy its guardrails, and fluency puts it in people's hands. 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.