AI Readiness Assessment

Know what to
build first.

A one-to-two-week review of your infrastructure, data and AI opportunities, ending in prioritised use cases and a practical delivery plan.

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One to two weeks.
A plan you can act on.

Find out what is feasible, what has to change first and where the first budget should go.

Across infrastructure, data and AI. The usual first step before a build.
Review scope

AI readiness review

Six dimensions. One plan.

  1. DataAvailability and quality
  2. AnalyticsHow your teams use information
  3. AI adoptionCurrent use cases and opportunities
  4. GovernanceOwnership, access and risk
  5. InfrastructureGPUs, platforms and delivery capability
  6. SponsorshipPeople, priorities and funding
Evidence → Priorities → Plan

What you take away

  1. 01

    A scored view of readiness

    Data, platforms, people and governance, scored on evidence.

  2. 02

    Use cases worth pursuing

    Ranked by business value and feasibility.

  3. 03

    A practical delivery plan

    A target architecture and the order to build in.

  4. 04

    A summary for decision-makers

    A short recommendation for leadership, finance and legal.

We assess your existing environment before recommending what comes next.

One to two weeks
to a clear decision.

A focused review, with decisions and outputs at each stage.

  1. 01 / Understand

    Agree on the goal.

    Business context and the decisions ahead.

  2. 02 / Review

    Examine the evidence.

    Data, platforms, teams and governance.

  3. 03 / Prioritise

    Compare the opportunities.

    Business value, feasibility and delivery risk.

  4. 04 / Plan

    Define the next steps.

    A target architecture and the order to build in.

Explore our approach ↗

The value,
in practice.

A closer look at a related client engagement.

Consumer goods

Model-ready data, right after close.

A global consumer goods company waiting weeks after each quarter close for model-ready marketing data.

Explore the project
Project outcome
Model-ready data, right after quarter close.
Data ready sooner.Model-ready marketing data arrives right after quarter close, not weeks later.
Every source in one place.Agency uploads and platform data in one governed hub.
Ready for models.Curated, model-ready tables shared through Delta Sharing.
Consumer goods · individual engagementView case study

Your next step

Find the right
first build.

Forty-five minutes on your workload, environment and constraints. You leave with a proposed first step.