Everyone is talking about AI. The organisations
that succeed will be those whose data is ready.
Your board is asking about AI. Your competitors are investing. Everyone from your CTO to your marketing team has a view on what you should be building. But nobody has asked the more fundamental question: is your data ready for any of it?
In most organisations, the honest answer is no. Data is scattered across systems, undocumented, inconsistently formatted, and siloed by department. There is no single source of truth, no clear data ownership, and no governance framework to build on.
This is why most AI projects stall. Not because the technology does not work — but because the data underneath it was never fit for purpose. The models are only as good as what you feed them.
Before you invest in AI tooling, you need to understand whether your data can support it. That is what this assessment provides.
What We Do
1. We begin with your business objectives — not the technology.
AI is a means, not an end. We start by understanding what commercial outcomes you are working towards — whether that is automating customer support, improving forecasting, or personalising marketing at scale. This ensures every recommendation is grounded in business value, not hype.
2. We map your entire data landscape.
Every system, database, spreadsheet, API, and integration. We document where your data lives, how it flows between systems, who owns it, and where the gaps are. Most organisations have never undertaken this exercise — and the findings are consistently revealing.
3. We score your readiness across six dimensions.
Quality, structure, documentation, integration, governance, and security. Each dimension receives a maturity score with specific, actionable recommendations for improvement. You will know precisely where you stand and what needs to happen before AI can deliver reliable results.
4. We deliver an architecture plan built around your goals.
Not a generic AI strategy deck — a practical roadmap that connects your current data state to your target capabilities. You receive a prioritised implementation plan, technology recommendations, and a face-to-face workshop with your leadership team to agree next steps.
Investment
From £5,000
+VAT · Scope-dependent
Duration
7–8 days
Deliverable
Architecture plan + roadmap
Includes
F2F leadership workshop
Then You Choose
Take it forward yourselves.
Use the architecture plan and roadmap to guide your own data team. We ensure the documentation is practical and actionable.
Keep us as advisors.
Engage JourneyForce on a managed service basis from £3,000/mo +VAT. A bucket of architectural hours for ongoing strategic guidance as you improve your data foundations.
Let us lead the transformation.
If you need hands-on support, we can work alongside your team to implement the architecture plan — from data governance frameworks to integration design.
Sectors We Work With
- Public & Third Sector
- Consumer Goods & FMCG
- Media & Publishing
- Technology & SaaS
The Reality
88%
of AI projects fail to move beyond the pilot stage, most commonly due to poor data quality and lack of organisational readiness.
Experience Includes
Our data architecture experience spans projects delivered for organisations including Dyson, Slimming World, and The Economist — covering data platform evaluation, multi-cloud integration, and enterprise data strategy.
Questions people ask first
- What is a data readiness assessment?
- A structured evaluation of your data landscape — quality, structure, documentation, integration, governance, and security. You receive a maturity score across six dimensions and a practical architecture plan.
- Why do most AI projects fail?
- 88% of AI projects fail to move beyond the pilot stage, most commonly due to poor data quality and lack of organisational readiness. A data readiness assessment ensures your foundations are in place before you invest in AI tooling.
- How long does a data readiness assessment take?
- A typical engagement takes 7 to 8 days, including business objective workshops, data landscape mapping, readiness scoring, and delivery of an architecture plan with a face-to-face leadership workshop.
- How much does a data readiness assessment cost?
- JourneyForce's Data Readiness Assessment starts from £5,000 +VAT. It includes business objective workshops, full data landscape mapping, a maturity score across six dimensions, a practical architecture plan, and a face-to-face leadership workshop.
- What are the six dimensions of data readiness?
- JourneyForce assesses data readiness across quality (accuracy and completeness), structure (consistency of formats and schemas), documentation (data dictionaries and lineage), integration (how data flows between systems), governance (ownership, policies, and access controls), and security (data protection and compliance).
- What do we get at the end of a data readiness assessment?
- You receive a maturity score for each of the six readiness dimensions, a practical architecture plan connecting your current data state to your target AI capabilities, technology recommendations, a prioritised implementation roadmap, and a face-to-face leadership workshop to agree next steps.
- Do you need access to our data systems to carry out the assessment?
- The assessment combines workshops with your team and a review of your data landscape documentation. We do not typically require direct database access — instead, we work through structured discovery sessions with the people who own and operate your data systems, supplemented by architecture reviews where available.
Have a conversation with us
No pitch, no obligation — just a straightforward discussion about your data challenges and whether we can help.