AI Readiness & Data Foundations
No AI without data. No data without assessment. Before any AI project begins, we assess your organisational readiness and audit your data landscape. The essential groundwork that makes AI actually deliver.
The problem
AI is only as good as the data behind it - and that's where most projects come unstuck.
We don't assume you're ready - we assess it. Most businesses have data scattered across multiple systems: spreadsheets, CRMs, project management tools, email inboxes, and paper records. When they try to deploy AI, the model has nothing reliable to learn from.
Our AI Readiness Assessment evaluates your organisation across five pillars: Strategy, Data, Technology, People, and Governance. Then our Data Foundations work ensures your infrastructure is ready before a single model is trained. It's not glamorous work - but it's the difference between AI that performs and AI that gets shelved.
AI Readiness Assessment (5 Pillars)
Agentic AI Preparation
Data Quality & Readiness Audit
Data Pipeline & Infrastructure
Who this is for
Transparent pricing guidance
Exact pricing depends on the number of systems, data volume, and complexity. We'll scope it clearly before any work begins.
Frequently asked questions
What does an AI readiness assessment actually involve?
We evaluate your organisation across five pillars: Strategy, Data, Technology, People, and Governance. This includes stakeholder interviews, documentation review, data quality analysis, and technology audits. You get a clear, jargon-free report with a prioritised action plan.
How long does a data audit take?
A typical data readiness audit takes 2 weeks. We review your systems, interview key stakeholders, assess data quality, and deliver a clear report with recommendations and next steps.
What if our data is mostly in spreadsheets - can we still use AI?
Yes - many of the most valuable AI applications work with modest datasets. What matters is data quality, consistency, and accessibility, not volume. We'll help you build a path from spreadsheets to structured, governed data at a pace that works for your team.
Do you help implement data governance or just recommend it?
Both. We design the governance framework and then stay alongside your team to implement it. We believe in embedded delivery, not just report-writing.
What's the difference between data readiness and AI readiness?
Data readiness is one component of AI readiness. AI readiness also covers strategy alignment, technology infrastructure, people and skills, and governance. You can have good data but still not be ready for AI if the other pillars aren't in place.