Our Information Audit is a structured 4–6 week diagnostic across your data, knowledge, AI capability, and governance. A clear picture of what's working, what's broken, and what to do first — before you commit budget.
Most organisations have data teams, dashboards, and a couple of AI pilots. But they also have a persistent feeling that they're not getting the return. Decisions still rely on gut. Teams duplicate work. AI projects die after the demo.
The issue is rarely a lack of data or tools — it's a lack of clarity about where the real bottlenecks are. Without that clarity, every investment is a gamble.
Data lives in silos — every team has a different "version of the truth" and nobody trusts the numbers.
Successful proof-of-concepts stuck in a loop — the organisation can't operationalise them.
IT builds capability nobody asked for. Business asks questions nobody can answer. Both frustrated.
Board mandate to accelerate AI, but no clarity on where to start or what to prioritise.
Tangible outputs — not a deck that gathers dust. Each deliverable feeds directly into your next decision.
Visual mapping of how data, knowledge, and decisions flow through your organisation — and where the fractures are.
Assessment across six dimensions: AI readiness, governance, data quality, flows, landscape, and literacy. Benchmarked against industry peers.
Specific gaps between current state and target capability — with clear causal chains showing why certain initiatives have stalled.
Prioritised action plan with quick wins (0–3 months) and strategic bets (3–12 months), sequenced by impact and dependencies.
Board-ready presentation synthesising findings, risks, and recommendations. Designed to create alignment and unlock budget.
If you decide to go further: a scoped proposal for the next phase — typically a Data & AI Strategy, operating model redesign, or platform build.
Structured and efficient — designed to minimise disruption to your teams while maximising depth of insight.
Stakeholder interviews, landscape mapping, define assessment boundaries and success criteria.
Six-layer diagnostic: AI readiness, governance, quality, flows, landscape, and literacy. Interviews, surveys, system reviews.
Pattern analysis, maturity scoring, gap identification. Build the prioritised roadmap and executive readout.
Executive presentation. Workshop with leadership to align on priorities. Handover of all deliverables.
Needs to build the business case for data investment — with evidence, not assumptions.
Facing pressure to "do AI" but needs to understand the organisational gaps before committing budget.
Has a team in place but can't get traction. Needs an independent assessment of what's really blocking progress.
Responsible for the roadmap but needs a structured diagnostic before committing to a multi-year programme.
An Information Audit is a structured 4–6 week diagnostic across six dimensions of your data and AI capability: AI readiness, governance, data quality, information flows, technology landscape, and data literacy. It produces a maturity scorecard and a prioritised roadmap, designed to clarify where to invest before you commit budget.
Four to six weeks from kickoff to executive readout, depending on organisational complexity and stakeholder availability. The process is designed to minimise disruption — most stakeholder time is concentrated in interviews during weeks one and two.
Chief Data Officers, CIOs, CTOs, and Heads of Data who need an independent diagnostic before committing to a multi-year programme. It is particularly valuable for enterprises that have made initial data and AI investments but are not seeing the expected return.
Six tangible deliverables: an Information Flow Map, a Maturity Scorecard benchmarked against peers, a Gap Analysis with causal chains, a prioritised Opportunity Roadmap with quick wins and strategic bets, a board-ready Executive Readout, and an Engagement Blueprint scoping the next phase if you decide to move forward.
We assess data, knowledge, AI, and governance together — most audits look at one layer in isolation. The Maturity Scorecard is benchmarked against industry peers, and the roadmap is sequenced by dependencies and impact, not by tooling. Ardinois does not sell software, so the recommendations stay independent.
You decide. Many clients use the audit to make the business case for budget. Others move directly into a Data & AI Strategy engagement, an Operating Model Design, or a Knowledge & Data Architecture build. The audit produces an Engagement Blueprint that scopes the next phase if you want one.
Tell us where you're stuck. Pieter or Sander will personally reach out within one business day to scope a 30-minute diagnostic call — tailored to your context.
Sending a formal RFP? Use our RFP submission page instead.
Our partners previously led Data & AI at
Pieter or Sander will reach out within one business day to scope a 30-minute diagnostic call. No pitch deck, no obligation.