AI Accelerator Assessment
Expert-led 3-week sprint

AI Accelerator Assessment

Turn AI ambition into an actionable roadmap. Our CAIO and team identify value, manage risk, and prioritise high-impact use cases.
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Not ready yet? Try the Scorecard
Not Ready yet? Try the Scorecard
Readiness ROI Roadmap

For leaders who want to invest in AI, but need clarity first

The assessment is designed for organisations asking: where should we start, how do we manage risk, and which AI use cases are worth prioritising?

3 weeks

Structured sprint, tailored to your organisation

Expert-led

Run by senior AI leadership and delivery specialists

RAG report

A clear view of readiness, risk and priority gaps

Roadmap

Practical next steps for safe AI adoption
The challenge

AI Investment Needs More Than Enthusiasm

Many organisations know AI matters. The challenge is knowing where to start, managing risk, and prioritising the right use cases.
The Challenge
Q1
Which AI opportunities will create measurable value for our organisation?
Q2
Are our data, systems and governance mature enough to support AI safely?
Q3
How do we avoid shadow AI, data leakage, regulatory exposure or uncontrolled cost?
Q4
Which use cases should be prioritised for ROI, feasibility and risk?
Q5
What roadmap would give senior leaders confidence to move forward?
What it is

A Consultative Readiness Sprint, Not a Generic Questionnaire

The AI Accelerator Assessment is a 3-week engagement led by our team. We evaluate your AI ambitions, identify readiness gaps, and deliver tailored recommendations to help prioritise investments and next steps.
What you get

A Board-ready View of AI Opportunity, Readiness and Next Steps

The final output is a comprehensive report and playback designed to support decision-making, prioritisation and investment planning.
1.
Comprehensive report
2.
Use cases and potential ROI
3.
RAG readiness report
4.
Gap analysis
5.
Practical roadmap
6.
Executive playback
See how our compound experience can benefit you
here
A clear, commercially grounded view of where AI creates meaningful advantage. We surface the highest-value opportunities, assess readiness with rigour, and craft a structured roadmap that converts ambition into measurable returns.
1. Comprehensive report
A consolidated view of your current AI posture, including strengths, risks, maturity and practical observations from the sprint.
2. Use cases and potential ROI
A recommended AI use case or opportunity area, assessed against value, feasibility, risk and likely commercial impact.
3. RAG readiness report
A clear Red, Amber and Green view of readiness across the key assessment domains, so leaders can see where action is needed.
4. Gap analysis
Identification of the capability, data, governance, infrastructure, cost and people gaps that may block safe AI adoption.
5. Practical roadmap
A phased set of recommendations showing what to do next, what to prioritise, and how to move from interest to implementation.
6. Executive playback
A presentation back to your stakeholders, helping align leaders around the opportunity, risks and recommended path forward.
See how our compound experience can benefit you
here
How it works

A 3-week Sprint Shaped Around Your Organisation

The engagement combines structured discovery, readiness analysis and practical recommendation design. The exact focus is tailored to your business context, sector, data estate, risk profile and AI ambition.
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Discover and align
We establish your AI ambition, stakeholder priorities, current tools, known risks, data landscape and business goals.
Stakeholder interviews
Current state review
AI ambition and pain point mapping
Assess and prioritise
We evaluate readiness across the five domains and explore use cases through the lens of value, feasibility and control.
RAG readiness analysis
Risk and gap assessment
Use case evaluation
Recommend and roadmap
We consolidate findings into an executive-ready report, roadmap and playback for your leadership team.
Recommended use case and ROI view
Prioritised gap analysis
Roadmap and executive presentation
Assessment domains

The Five Areas We Assess Before AI Can Scale Safely

AI readiness is not just about choosing tools. We look at the foundations that determine whether AI adoption is safe, commercially controlled and operationally useful.

Data

Quality, accessibility, source-of-truth, data ownership, sovereignty, security, IP leakage risk and readiness for RAG.

Infrastructure

Storage, cloud/on-premise choices, model hosting options, system integration, machine readability and deployment foundations.

FinOps

Token usage, AI licensing, usage monitoring, cost guardrails, ROI tracking and hosted versus open-source cost implications.

Governance

AI policy, security, regulatory posture, shadow AI, oversight processes, auditability and human accountability.

People

Leadership confidence, skills gaps, champions, communities of interest, AI ways of working and human-in-the-loop controls.
Clear Direction
Risk Confidence
Investment Focus
Why it matters

A good AI roadmap should be investable, not theoretical.

The Assessment helps you identify the AI opportunities worth pursuing and the foundations that need to be strengthened first.
Reduce wasted experimentation and tool sprawl
Build a stronger case for AI investment
Prioritise work that can produce measurable value
Create a safer path from pilot to adoption
01

Clarity on where to start

Turn broad AI ambition into specific opportunities and next steps.
02

Confidence around risk

Understand data, governance, security and operating risks before scaling.
03

Prioritised investment decisions

Turn broad AI ambition into specific opportunities and next steps.
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Talk to Our Team About an AI Accelerator Assessment

Discover how the AI Accelerator Assessment can support your business goals. Tell us what you are trying to achieve with AI and the team will follow up.
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Try the AI Readiness Scorecard
This is a lite, 5-minute self-service version of the readiness check. It gives a directional RAG view across the five domains. This does not replace the full Assessment.
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AI Accelerator Assessment
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Data

Are you sitting on a goldmine or a swamp? Trusted, accessible, well-governed data.

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1 - Unknown
2 - Early
3 - Inconsistent
4 - Managed
5 - Mature

1. Can you confidently identify which data sources are suitable, trusted and approved for AI use?

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2. Is your business-critical data accessible, searchable and structured enough for AI systems to use effectively?

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3. Do you know where your sensitive, regulated or commercially valuable data sits, and who owns responsibility for it?

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4. Have you considered how data sovereignty, GDPR, intellectual property and confidentiality affect your AI ambitions?

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Please answer all questions before continuing.

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Infrastructure

Is your tech stack built to run AI at scale, or just to survive a demo?

1 - Unknown
2 - Early
3 - Inconsistent
4 - Managed
5 - Mature

1. Do you have a clear view of where AI workloads should run: cloud, on-premise, private environment, hosted LLM or open-source model?

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2. Can your existing systems connect data sources together in a way that supports meaningful AI use cases?

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3. Is your current data storage environment secure, resilient and appropriate for AI-powered tools?

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4. Do you have the technical foundations to deploy, monitor and maintain AI solutions beyond small experiments?

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Please answer all questions before continuing.

BackNext

FinOps

Do you control AI spend, or is AI spend controlling you?

1 - Unknown
2 - Early
3 - Inconsistent
4 - Managed
5 - Mature

1. Do you understand the true cost of your current and planned AI usage, including licences, token usage, infrastructure and support?

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2. Do you have guardrails in place to prevent uncontrolled AI consumption or unexpected cost increases?

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3. Are you actively monitoring usage versus value across AI tools, pilots and development activity?

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4. Can you clearly link AI investment to measurable business outcomes, productivity gains or risk reduction?

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Please answer all questions before continuing.

BackNext

Governance

Is AI innovation backed by real oversight, or running unchecked?

1 - Unknown
2 - Early
3 - Inconsistent
4 - Managed
5 - Mature

1. Do you have an AI policy that defines acceptable use, ethical standards, data handling and security expectations?

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2. Are you monitoring for shadow AI use across the organisation?

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3. Do you have a governance process, board or decision forum responsible for prioritising and approving AI initiatives?

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4. Have you assessed your AI plans against relevant regulations such as GDPR, the EU AI Act or sector-specific requirements?

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Please answer all questions before continuing.

BackNext

People

Is your organisation ready for AI, or just curious about it?

1 - Unknown
2 - Early
3 - Inconsistent
4 - Managed
5 - Mature

1. Do your leaders understand where AI can create value, and where it could create risk?

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2. Have you identified the skills gaps that could limit successful AI adoption?

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3. Do you have AI champions, communities of interest or a Centre of Excellence to support adoption?

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4. Are your teams clear on when AI outputs need human review, validation or approval?

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Please answer all questions before continuing.

BackSee my results

Enter your details to view your light RAG result

You'll receive your overall score, a breakdown across the five dimensions, and a tailored next step for your organisation.

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Thank You!

Your score gives you an initial view of how prepared your organisation is to adopt AI safely, commercially and at scale.

59 / 100
AI Emerging
You have some of the right capabilities in place, but need a clearer roadmap, governance model and delivery approach.
Breakdown by dimension
Data
Developing capability
Infrastructure
Developing capability
FinOps
Good foundations
Governance
High-risk gap
People
Developing capability
Recommended next step
Strengthen your weakest dimension: Governance
In the full AI Accelerator Assessment, this would be explored in context alongside business value, risk, feasibility and use case ROI.
Talk to Our Team →Retake Scorecard