The Intelligence Audit: Unify Siloed Data with AI
The Intelligence Audit.
A 14-day diagnostic that maps where your data is trapped and shows exactly where an AI layer could unify it into one view your team can question in plain English.
Most organisations already hold the answers their leaders need. Those answers just sit in an ERP, a CRM, a finance system, and a dozen spreadsheets that were never built to talk to each other. The Intelligence Audit is a structured diagnostic of how your business actually uses its own data. We map where information is trapped, find where the same fact is recorded differently across systems, and show where an AI layer could pull it together into a single source you can question in plain English. It is the operations-side sibling to our EU Digital Product Passport Audit: same fixed scope, same 14-day turnaround, same evidence-first approach before any build begins. RedBite, a spin-out of Cambridge Auto-ID Labs and operator of the itemit asset platform, brings the data discipline that keeps the answers trustworthy.
Cambridge Auto-ID Labs origins; itemit production data discipline; legacy ERP and database integration. Focus: enterprise data unification and natural-language analytics via the Intelligence Audit.
Why AI projects stall before they start
Gartner expects 60% of agentic AI projects to be abandoned by 2027, and the common cause is not the model. It is the data. Information is fragmented across systems that do not share a common identity, so the AI has nothing reliable to reason over. Buying tools before fixing the data layer is the most expensive mistake in the programme.
The Intelligence Audit puts the foundation first. Before any agent or dashboard is built, we establish what data you hold, how clean it is, and which systems can be connected without ripping anything out. The output is a costed plan, not a vendor demo, so the decision to build rests on evidence.
From siloed systems to a question you can simply ask
Today a cross-functional question (which customers are slipping, where margin is leaking, what stock is really moving) takes days and a chain of people to answer. The bottleneck is access, not insight. Leadership ends up steering on last month's numbers because every report needs a specialist to build it.
We identify the single highest-value question first, then map the path to a unified layer where anyone can ask it in plain English and get a governed, trustworthy answer in seconds. You stop staring at dashboards and start asking your business a question.
Built on ground-truth identity, not guesswork
Unifying data only works if the systems agree on what each record actually refers to. RedBite's Cambridge Auto-ID heritage and the itemit platform supply the identity discipline that reconciles the same customer, part, or asset across ERP, CRM, and asset registers, so the unified view does not inherit the conflicts buried in the source systems.
Read our Insights on enterprise data unification and conversational analytics, then book a working session to scope your audit and the first natural-language use case.
The challenge in Enterprise Operations & Data
The same fact is recorded differently in the ERP, the CRM, and a finance spreadsheet, so there is no single answer to a simple question.
Every cross-functional report needs an analyst to build it, so leadership steers on stale numbers while the bottleneck is access, not insight.
AI tools were bought before the data layer was ready, so pilots stall on fragmented, conflicting inputs the model cannot trust.
Legacy systems hold critical data but cannot be queried directly, leaving high-value answers locked away from the people who need them.
How RedBite delivers AI data intelligence audit
Adding intelligence to an organisation is not a single software purchase. It depends on what data you hold, how clean it is, and which systems can be connected. The Intelligence Audit replaces that guesswork with a clear, costed picture before you commit budget to a build.
A clear map of every system that holds operational data and where the same fact diverges across them.
The one plain-English question that would create the most value first, identified and validated against real data.
An assessment of which systems can be unified now and which need work, with realistic cost and effort.
A prioritised roadmap to a single dashboard your team can query in natural language rather than wait on an analyst to build.
Start with a 14-day audit that gives you a defensible baseline and a costed plan. Book a scoping call to talk through your systems and where an Intelligence Audit would pay back fastest, before you commit to a full integration build.
Frequently asked questions
What is the Intelligence Audit? +
It is a 14-day diagnostic of how your business uses its own data. We map your siloed and legacy systems, identify the highest-value question to answer first, and deliver a costed roadmap to a unified dashboard you can query in plain English.
How is it different from the EU DPP Audit? +
The DPP Audit assesses readiness for EU Digital Product Passport compliance. The Intelligence Audit focuses on internal operations: unifying siloed data so leadership can ask and answer questions directly. Same fixed scope and 14-day turnaround, different problem.
Do we have to replace our existing systems? +
No. The audit assesses what can be connected without ripping anything out. We add a unified layer above your ERP, CRM, and spreadsheets, reconciled to a common identity, so existing systems keep running while the data becomes answerable.
// Technical authority
Cambridge Auto-ID heritage
Need implementation detail before you commit budget? Browse all solution hubs, read our Insights on Auto-ID, DePIN, and EU DPP readiness, or book a working session with the Cambridge team behind itemit.
Talk to an implementation lead
Get a scoped plan for AI data intelligence audit across your sites, ERPs, and field teams.
Book a working sessionCambridge Auto-ID heritage · itemit · umin.ai · UNTP-ready pipelines