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10 weeks until the EU AI Act lands — do you have clarity?
2 August 2026 is a very real test of AI clarity.
Regulated SaaS businesses need to tell users when they are interacting with AI, and make that disclosure clear, accessible, and visible from the first interaction.
Market insight
Shadow AI is already inside most businesses
78% of AI users are bringing their own AI tools to work. Risks are moving faster than governance.
Businesses need clearer guardrails, better visibility, and stronger control over the tools and data being used. The current breakneck pace of experimentation is increasing risk at an alarming rate.
Microsoft and LinkedIn, ‘2024 Work Trend Index’, published May 8, 2024.
Market insight
Almost half of AI projects are abandoned before they deliver value
Organisations abandon 46% of AI projects between proof of concept and broader adoption.
AI activity is not enough. Businesses need clearer priorities, stronger evidence, and sharper judgment on what to scale, fix, or stop.
S&P Global Market Intelligence, ‘Voice of the Enterprise: AI & Machine Learning, Use Cases 2025’.
AI Risk & Value Scorecard
A detailed, evidence-based analysis of where AI is increasing risk and where it’s blocking value.
We undertake a rapid and accurate assessment of AI capability across your entire organisation.
The benefits you can expect to see from using the Scorecard
Understand your current risk and value positions
Discover which initiatives should be scaled, fixed, or stopped
Identify the actions needed to improve control, strengthen adoption, and increase measurable commercial impact
Multi-disciplinary analysis
We draw on the expertise of a wide range of AI specialists
Alastair Cole
Leads overall Scorecard analysis across strategy, governance, technology, and commercial value.
Douglas Cole
Assesses engineering quality, scalability, delivery, testing, and production readiness.
Alastair Mackie
Evaluates governance controls, risk exposure, regulatory alignment, and operational accountability.
Tom Kegode
Delves into your AI adoption, culture, trust, behaviour change, and workflow integration.
Elle Connolly
Analyses AI search visibility and content effectiveness. Ensures clarity of recommendations.
Jackie Fecitt
Assesses consistency of AI-generated creative. Shapes impact of scorecard conclusions.
How we score you
Governance & Risk
Strategy & Prioritisation
Commercial Alignment & Value Design
Technology & Data
Culture & Capability
Execution & Delivery
Adoption & Integration
Measurement & Value Realisation
We analyse your AI capability across 8 core areas
The result is a clear, structured view of where AI is increasing risk, where it is creating value, and where action is needed next.
You get a powerful set of deliverables
Detailed score breakdown
A clear analysis of your AI position across the 8 core areas, showing where capability is strongest, risk is building, and value is being held back.
Prioritised recommendations
Practical, evidence-based actions shaped around your current position, helping you reduce risk, unlock value, and increase confidence fastest.
Risk & Value roadmap
A decision-focused roadmap showing what to scale, fix, pause, or stop, and what steps to take next.
How it works
Three step approach
Complete the assessment
We gather structured input across the 8 core areas, covering governance, strategy, commercial value, data, culture, delivery, adoption, and measurement.
We analyse your risk and value position
Your inputs are reviewed and scored to identify strengths, weak points, dependencies, exposure, and the capability gaps affecting AI performance.
Receive your scorecard and roadmap
You receive a report with prioritised recommendations, and an action-oriented roadmap to help you make better AI decisions with more clarity and control.
Begin your journey today by reaching out to us.
People-first
Who it is for
The AI Risk & Value Scorecard is designed for organisations under pressure to make AI deliver more value while keeping risk under control.
It is especially relevant for:
software businesses
leadership teams shaping AI strategy
commercial and operational leaders responsible for measurable impact
risk, product, data, engineering, and transformation teams
businesses moving from fragmented experimentation to disciplined execution
organisations needing a clearer view of what to scale, fix, or stop.
What it helps you answer
Where is AI quietly increasing risk?
Where is AI genuinely creating value?
Where is AI quietly increasing risk?
Which initiatives should we scale, fix, or stop?
Are we focusing investment on the right opportunities?
Do we have the right governance, validation, and monitoring in place?
Are our AI systems being adopted into real workflows and decisions?
Where are commercial outcomes being measured, missed, or assumed?
Which capability gaps matter most right now?
What practical steps should we take next?
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Why it matters now
AI is moving faster than most organisations can measure, govern, or commercially understand.
Many businesses already have AI activity across products, teams, workflows, and functions. But activity is not the same as value. And without clear measurement, it becomes difficult to know which initiatives are working, which are underperforming, and which may be creating risk.
The AI Risk & Value Scorecard helps close that gap.
Most businesses don’t have an AI activity problem – they have a clarity problem. Our scorecard solves that.
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Alastair Cole
Value Partner - Governance
AI Risk & Value Scorecard
A detailed, evidence-based analysis of where AI is increasing risk and where it’s blocking value.
The urgent challenges facing regulated SaaS as AI scrutiny grows
Regulated SaaS must build AI that proves value, reduces risk, strengthens control, and earns trust across products, teams, and governance.