AI Readiness Assessment

Know exactly where you stand, and exactly where to go next.

Establish where the organisation actually stands, prioritise the work, and deliver a roadmap and a board-ready strategy.

Discuss an assessment See what you leave with

Run by the team that built Trade iQ, in production across 19 financial institutions in 12 countries. We assess from production experience rather than from a template.

Starting point

Most leadership teams cannot answer these with evidence. That is the gap the assessment closes.

  • Which parts of our operation would genuinely benefit, and which are noise?
  • What do we build first, and what can safely wait a year?
  • Is our data actually in a state to support any of this?
  • What will it cost, and what comes back?
  • Who owns the system once it is live?
  • What do we put in front of the board, with evidence behind it?

Answers

The assessment is not a technology audit. It resolves the organisational questions that decide whether a system can move into production at all.

What you leave with

Three answers, evidenced.

  1. 01

    Where you actually stand

    A readiness baseline established with your own teams and your own systems, rather than inferred from a benchmark or a maturity label borrowed from another organisation.

  2. 02

    What to build first

    A prioritised portfolio of candidates drawn from your own functions, with the sequencing logic behind it, so the first thing you build is the thing most likely to work.

  3. 03

    What it is worth

    The investment, the expected return and the governance around it, written for the people who approve the spend rather than for the team who will build it.

Shape

How it runs

Evidence moves forward only when the preceding question is answered.

  1. 01

    On site, with your people

    Structured sessions with leadership and function heads, and hands-on time with your data, systems and integration surface alongside your technical teams.

  2. 02

    Analysis, off site

    We turn what we found into a decision: the candidates, the sequencing by value, feasibility and dependency, and the investment case that supports them.

  3. 03

    Readout to leadership

    We present the findings, walk your leadership through the roadmap, and hand over the full documentation.

Outputs

The assessment leaves working documents, not a presentation that stops at diagnosis.

A typical assessment runs over four to eight weeks, depending on the size and complexity of the organisation, with two on-site phases. The output is designed to move straight into implementation, whether delivered by AgentiQ or by your own teams.

The full handover

  1. 01A readiness baseline for your organisation
  2. 02A prioritised AI use-case portfolio, with a one-page scoping note for each candidate
  3. 03A phased AI Adoption Roadmap, time-bound across the next 12 to 18 months
  4. 04A board-ready AI Strategy Document, suitable for circulation at leadership and board level
  5. 05An investment and value model, staging spend against expected return
  6. 06A governance and responsible-AI framework recommendation
  7. 07A shortlist of quick wins, identified for action while the larger roadmap is approved

A useful starting point when

AI is on the agenda, but the path is not yet clear.

If any one of these describes your organisation, the conversation is worth having. If none of them do, we will tell you as much.

  1. 01

    Organisations where AI is on the leadership agenda but the path is not yet clear

  2. 02

    Groups partway through an enterprise transformation who want to add intelligence on top of what they have built

  3. 03

    Leadership teams who need an evidenced, board-ready basis for AI investment decisions

Questions that come up before an assessment is commissioned.

01 How long does an AI Readiness Assessment take?

A typical assessment runs over four to eight weeks, depending on the size and complexity of the organisation, with two on-site phases.

02 Is this a technology audit?

No. The assessment is not a technology audit. It resolves the organisational questions that decide whether a system can move into production at all.

03 Who from our side needs to be involved?

Leadership and function heads for the structured sessions, and your technical teams for the hands-on time with your data, systems and integration surface. The findings are then presented back to your leadership.

04 What do we leave with?

Seven working documents: a readiness baseline for the organisation, a prioritised use-case portfolio with a one-page scoping note for each candidate, a phased adoption roadmap across the next 12 to 18 months, a board-ready strategy document, an investment and value model, a governance and responsible-AI framework recommendation, and a shortlist of quick wins.

05 How do we go from the assessment to actually building something?

The output is designed to move straight into implementation, whether delivered by AgentiQ or by your own teams.