TRUSTED BY BUSINESS LEADERS ACROSS INDUSTRIES
Most AI investment fails
or cannot prove its worth
Budgets are being committed, expectations are high, projects are failing, and decisions are often opportunistic or based on stakeholders' intuition. This is not a recipe for success.
70%
of AI and data initiatives fail to deliver measurable business impact
Harvard Business Review, 2024
21%
of AI experiments ever reach production
BCG
69%
of CEOs are committing 10 to 20% of budget to AI initiatives
KPMG CEO Outlook, 2025
Ambition outruns readiness
Initiatives are committed to before anyone has an evidenced view of whether the organisation can deliver them.
Decisions are opportunistic
Choices are made on stakeholder intuition and loudness of voice rather than on evidence applied consistently across everything in play.
Value promised is rarely measured
Once a programme is under way, the return committed at approval is seldom tracked - so nobody learns which choices worked.
The pattern: these are decision failures, caused by the complexity of applying the evidence needed to make impactful AI and data decisions. The reasons for failure are discovered well into delivery, long after expectations are set.
What decision intelligence is
Decision intelligence uses evidence from your organisation to make recommendations for AI and data use cases, analysing some 8 billion decision points - too complex for a human to calculate.
One connected model
Strategy, data and organisation capability, culture, skills, risk, investment and outcomes held in a single model - traceable from business goal to realised return.
Evidence driven
Every initiative ranked through ICE prioritisation, dependency mapping and scenario modelling, so priorities reflect evidence rather than advocacy.
Value proven, not assumed
Value is forecast and measured through ROI tracking and performance attribution, then fed back into the next decision - leading to continuous improvement.
The difference: more value driven by AI and data, at greater scale, with greater business satisfaction.
Decision intelligence for AI and data investment
VALSTR is an enterprise platform that holds the full decision chain in one place: the board's goals and constraints, an evidenced baseline of what the organisation can actually execute today, every AI and data opportunity on the table, the cost, value, risk and feasibility of each, the sequenced roadmap to deliver the best of them, and the value they go on to realise.
It takes the work that normally sits across strategy decks, scoring spreadsheets and standalone business cases and puts it into a single connected model - so priorities are ranked on the same evidence, every number carries an audit trail, and changing one input recalculates everything downstream of it.
Business goals
Board objectives, targets, constraints
Capability baseline
850+ elements across 8 dimensions
Ranked initiatives
ICE scoring, dependencies, scenarios
Use & business cases
Value, cost, risk, feasibility
Sequenced roadmap
Funding, ownership, governance
Realised value
Measured, attributed, fed back
Change one input - a goal, a cost, a delivery date - and the ranking, the roadmap and the value forecast update, with a full audit trail behind every number.
In the product
- Assessment engine
- Baselines maturity across 8 dimensions and 850+ elements
- Prioritisation engine
- Ranks hundreds of use cases on Impact, Confidence, Ease
- Business case builder
- Cost, value, risk and dependency modelling per initiative
- Roadmap & operating model
- Sequencing, funding, ownership and governance
- Performance attribution
- Realised value measured against the approved case
- Board reporting
- 20 board-ready reports generated from live data
What it is not
- It is not a consultancy deck or a spreadsheet model.
- It is not a delivery tool that tracks tickets.
- It is not a BI dashboard reporting on data you already trust.
Inside the VALSTR Platform
Four connected stages, held in one model. This is the work strategy, data and finance teams already do in decks and spreadsheets - done once, versioned, evidenced and kept current as circumstances change.
Anchor everything to the board's agenda
Strategic objectives, measures, targets and constraints are captured as structured data - growth, cost-to-serve, risk, regulatory obligation, customer outcome. Every downstream score, business case and roadmap decision is measured against them, so nothing gets funded on the basis of enthusiasm alone.
- Objectives, measures and target dates held as first-class objects
- Constraints - budget envelope, regulatory, resourcing - modelled explicitly
- Traceability from board objective to individual initiative
One integrated solution
Every stage of the decision is supported by well engineered software capabilities, connected by an underlying data model.
Decide what to build
Identify, prioritise and fund the right initiatives
Goals confirmed, capability baselined, opportunities ranked on impact, confidence and ease, and each one shaped into a use case and business case with value, cost, risk and dependencies attached.
- Business Alignment
- Maturity Assessment
- ICE Prioritisation
- Use Case Generation
- Business Case Generation
- Investment Modelling
Execute with discipline
Turn decisions into governed delivery
A sequenced roadmap with clear owners, funding and governance, the operating model to run it, and the skills, culture and adoption work that makes it stick - kept current as priorities change.
- Strategy Execution
- Operating Model Design
- Skills, Culture & Literacy
- Roadmaps
- Readiness Assessment
Prove and improve value
Track, attribute and refine the value
Value delivered is tracked against the case that was approved, results are attributed to what genuinely drove them, and the lessons feed straight back into the next set of decisions.
- ROI Tracking & Validation
- Performance Attribution
- Performance Optimisation
- Opportunities to Scale
Enterprise-wide orchestration aligns teams, platforms, funding and priorities across the organisation, so the enterprise moves as one - without assuming all your brands, departments and regions are homogeneous.
Customer Spotlight
Trusted by business leaders
Customer Story
"The VALSTR Platform is incredibly useful for enabling you to be aware of everything that is going on in your Data and Analytics world. I love the fact it's all connected and when you create a strategy or business case it's driven by the content in the platform so it's informed by what you can do and your business needs and culture. No need to manage MY data in spreadsheets and PowerPoint."
Carolyn Baker
Head of Data and Analytics
Greater success with less stakeholder bias
The common thread is a shift towards evidence led AI and data decisions - ranked on the same evidence, carrying an audit trail, and measured against the business case that was approved.
Defensible investment
Every initiative is scored on the same evidence, so funding is guided towards the initiatives with the biggest impact and the greatest chance of success.
Traceable business outcomes
All investment is linked from a business goal through to measurable outcomes, with investment, resources and activity aligned, prioritised and traced the same way.
Performance attribution and tracking
Value is tracked and attributed to performance, supporting continuous improvement - knowing how to do more of what works well and stopping what does not.
Business alignment
AI and data initiatives are aligned to business goals, mitigating the risk of stakeholder bias and loudness of voice.
Proven method, now live software
VALSTR encodes 30 years of enterprise data and AI transformation into software. The method was proven through consulting, then hardened into an integrated solution, and is used with enterprises across financial services and property and construction.
Founded by Simon Asplen-Taylor, the UK's first Chief Data Officer, who led some of Europe's largest transformations, with the approach set out in the best-selling book Data and Analytics Strategy for Business.
15
core capabilities
modules in the product
20
board-ready reports
generated from live data
850+
assessment elements
capability baseline depth
20,000
potential use cases
mapped AI capability library
8 billion
decision permutations
analysed by the model
30 yrs
practice encoded
CDO-level experience, in software
Less fragmented content. One source of all AI and data content, fully accessible and integrated, reducing the need for key information to be held in spreadsheets, presentations, emails and documents.
Built for the roles accountable for AI and data investment
One connected model, read differently depending on the role - and configured for the regulatory and operating realities of your sector.
Find the AI
worth building
In one conversation you will see how your goals, current capability and candidate initiatives look inside the model - and where the evidence says your next pound should go.
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