FAIR Data Assessment.
A clear view of how ready your data is for AI
Consultancy
Many organisations are investing in AI before their data is ready, with poor data quality, gaps in governance, ownership and accountability and data architectures that don’t scale for AI workloads.
The FAIR Data Gap Assessment fixes that.
Delivered as a focused 30-day diagnostic, we assess your data against DSIT/GDS guidance and FAIR data principles, giving you a clear, evidence-based view of your datasets and a prioritised plan to make them AI-ready.
Trusted to make your data fit for AI
The FAIR principles
Findable
Easily discoverable data
Accessible
Available to authorised users
Interoperable
Compatible with other data
Reusable
Ready for future applications
Know where your data will and won’t support AI
Our FAIR Data Gap Assessment provides a structured assessment of data gaps, risks and constraints, prioritising what to fix so you can maximise investment and reduce risk before and during AI projects.
We work with organisations who
Are investing in AI but lack confidence in their data foundations
Need to prioritise data improvement, based on impact
Want a structured, defensible approach to AI readiness
Operate in environments where governance and compliance are critical
Outcomes that drive momentum
FAIR data readiness scorecard
A dataset-level assessment across FAIR principles and AI readiness criteria.
Gap register
A structured log of issues, prioritised by severity and effort.
Prioritised remediation roadmap
A sequenced plan showing what to fix first, with dependencies and recommended approaches.
Compliance and DPIA gap register
A clear view of legal, governance and ethical gaps that must be resolved before effective AI use.
Executive summary
A concise, senior-level view of risks, opportunities and next steps
Actionable next steps
Defined options and pathways to move from insight into deliver.
“Catapult enabled us to ingest policy data from complex powerpoints containing images and graphs, which improved our response accuracy by 87%, vastly improving decision making”
Head of Data & AI
Identification Verification Enterprise
Our approach. From fragmented data to AI-ready
Assess. Identify. Prioritise.
Technical optimisation
We review data formats, storage, APIs and scalability to determine whether your data can support AI training and inference workloads.
Data and metadata quality
We assess accuracy, completeness, consistency and metadata standards, alongside how well datasets are defined, owned and managed.
Organisation and infrastructure
We evaluate governance maturity, ownership, access controls and collaboration to identify where organisational gaps will block progress.
Legal, security and ethical compliance
We assess lawful basis, DPIAs, security controls, and bias considerations to ensure your data can be used safely and responsibly.
How it works.
A focused four week diagnostic designed to get your data AI ready
Key technologies
We combine a practical review of your architecture and codebase with a clear view of what today’s AI tools can realistically do. By evaluating capabilities across platforms such as ChatGPT, Microsoft Copilot, Azure OpenAI and existing automation tools, we identify where AI can be applied effectively within your current cloud environment, without unnecessary change or risk.
ChatGPT
Microsoft Copilot
Azure OpenAI
The work we’ve brought to life
Why clients choose Catapult
20+
Years of software development excellence
20+
Satisfied clients and thousands of successful projects
$
On time, on-budget and on-scope delivery
An ISO 27001 certified company
Fixed price guarantee. We guarantee to deliver the outcome we’ve agreed with you, at a fixed price.
Hothouse veterans. Rapid, iterative & hands-on. We’re pragmatic problem solvers who thrive on building things that work.
Secure, auditable AI designed to work with sensitive data, access controls & enterprise constraints.
Tech-agnostic, outcome-first. Guidance in selecting stacks that minimise costs & maximise ROI
Our expertise is frequently called upon
Cross-sector data and AI expertise
With deep experience across regulated environments, we understand the data, governance and compliance realities that determine whether AI can be deployed, not just designed.
