AI Consulting · GenAI Readiness The score that shows how ready you really are.

Most organisations think they are ready for GenAI. The score often says otherwise. We score and weight six pillars into one composite GenAI Readiness Score you can act on.

Start your assessment Read the readiness checklist

Six pillars: Scored and weighted into one composite readiness score
0–100: Composite score — defensible to a CIO, legible to a CEO
4–6 weeks: Typical assessment, depending on size and scope

Where we start

Readiness starts with business leadership.

Before we score any pillar, we work with your business leadership to establish:

01The outcomes you expect (cost optimisation, productivity, new revenue)
02The functions in scope (for example CX, operations, engineering)
03The time horizon (proof of concept or enterprise-scale rollout)
04The criteria that define success

Assessment framework

Six pillars. One composite score.

We score each pillar independently, so you see exactly where the floor is — then weight and roll them up into one number.

Business readiness

Strategic alignment, executive sponsorship and use cases.

Data readiness

Quality, accessibility and governance of data assets.

Technology

Infrastructure, tooling and integration capability.

Security and risk

Regulation, threat models, risk and compliance.

Operating model

Talent, team skills, organisation design and change management.

Tools and ecosystem

Vendor landscape, platform selection and ecosystem fit.

What you get

Not a slide deck. A scored blueprint.

Executive summary
One page, written for the board: composite score, biggest gaps and fastest paths to value — with the trade-offs called out, not glossed over.
Maturity scorecard
Each of the six pillars scored 0–100, with the evidence behind every number. No hidden weights — you can audit the maths.
Prioritised use cases with ROI
A ranked backlog of GenAI use cases sized by business impact, technical readiness and risk — with first-year ROI estimates for the top candidates.
Architecture blueprint
A reference architecture mapped to your existing data and infrastructure stack. Lakehouse, model, serving and evaluation choices — defended, not defaulted.
Governance framework
Responsible AI controls, DPDP, RBI and SEBI alignment, internal AI policy templates and the operating-model changes needed to enforce them.
Implementation roadmap
90 days, 6 months, 1 year — milestones, owners, dependencies and the few decisions that gate the rest. Sequenced so value compounds.

Where it fits

The first step before anything gets built.

The governance framework draws on our Responsible AI practice, and the architecture blueprint maps to the Data Platform and Infrastructure you already run — so the roadmap hands straight over to delivery.

FAQ

Frequently asked.

01What is the GenAI Readiness Score?

A composite score from 0 to 100 that measures how prepared an organisation is to adopt and scale GenAI. We score and weight six pillars and roll them up into one number you can act on — defensible to a CIO, legible to a CEO.

02What are the six pillars?

Business Readiness, Data Readiness, Technology Readiness, Security / Risk / Compliance, Operating Model & Talent, and Tools, Platform & Ecosystem. We score each independently, so you see exactly where the floor is.

03How long does the assessment take?

Typically 4–6 weeks, depending on the organisation’s size and the number of business units in scope. Larger group-level rollouts take longer; single-BU assessments often finish in three weeks.

04What if our score is low?

Most are. What matters is not the score itself but the prioritised roadmap that follows: which gap to close first, what closing it makes possible and what it will cost. Low scores rise quickly when the work is sequenced correctly.

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