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DATA & AI STRATEGY EXERCISE

First get your data sharp, and your processes smart

A pragmatic discovery exercise that turns departmental needs into one executable Data & AI roadmap. People and processes first, technology second.

Take the readiness check (2 min)See the approach
6FOCUSED PHASES
±12WEEKS, START TO ROADMAP
½-daySESSIONS, ON-SITE
1EXECUTABLE STRATEGY
WHY THIS EXERCISE

From scattered experiments to one shared direction

Most organisations don't lack AI ambition, they lack alignment. Experiments happen in pockets, data lives in silos, and value stays anecdotal. Through a series of focused deep dives and workshops, we connect departmental needs with data and AI opportunities. As a vendor-neutral partner, we deliberately decouple exploration from execution: first insight, then decisions.

01A pragmatic roadmapStructural foundations combined with feasible quick wins, not a slide deck that gathers dust.
02A scalable data foundationA foundation that grows with your organisation and stays simple to manage and integrate.
03Concrete recommendationsA phased approach that couples fast impact to strategic build-up, prioritised on business value.
04Governance in the lifecycleBuilding on your existing AI policy, bringing continuity to every data and AI initiative.
THE APPROACH

Six pragmatic deep dives, one coherent strategy

Result-driven sessions that bring business, operations and IT together, doubling as a pragmatic AI maturity assessment. Every session is half a day on-site, with preparation upfront and synthesis afterwards, and every session delivers tangible output.

F1WK 1–2
Deep dive · Business & departmentsUnderstand how data and AI are used today in each department, and identify where the biggest value sits, including wins possible without AI, through process optimisation.
YOU GETCross-departmental data opportunitiesGap analysis: current vs. desired situationQuick wins and longer-term recommendations
F2WK 3–4
Deep dive · Data & technical foundationDefine a pragmatic data foundation that guarantees quality, availability and accessibility. First the data in order, then the tools.
YOU GETGovernance & data-quality modelArchitecture scope focused on quick winsData-quality roadmap and tooling advice
F3WK 5–6
Deep dive · AI, governance & lifecycleIdentify and prioritise AI use cases with measurable value; assess the AI-readiness of data and systems, building on your existing AI policy.
YOU GETPrioritised AI opportunities (impact × feasibility)Quick wins and pilot candidatesGovernance anchored in the delivery lifecycle
F4WK 7
Validation sessionAll insights from the deep dives, structured per domain and validated with the experts involved, so the joint workshop starts from a supported base.
YOU GETDocumented findings across all deep dives
F5WK 8
Joint workshop · Data & AI alignmentBring all insights together with management of business, IT and operations into one coherent, executable data and AI strategy.
YOU GETUnified strategic visionImplementation roadmap with pragmatic milestonesResource & capacity plan
F6WK 9–12
Final deliveryOne complete, pragmatic strategy document your organisation can use independently for decision-making and execution.
YOU GETFull strategy document with roadmap and recommendations
* Indicative timing, aligned with stakeholder availability.
READINESS CHECK

How ready is your organisation?

Six statements about your business, data and AI practice: a quick first AI readiness assessment. No email required, just an honest signal of where to start.

6 STATEMENTS2 MINUTESNO EMAIL
WHY ARINTI

From ambition to measurable impact

Pragmatic. Strategic insight combined with delivery experience, from vision to action.
Cutting-edge. On the frontier of AI, with the discipline to make it work in production.
Vendor-neutral. Exploration deliberately decoupled from execution. We build internal capability, not dependency.
TRUSTED BY
VDABFlanders Investment & TradeVolvoMercedes-BenzStad Mechelen

It is important for us to work with an open mind. The Flemish labor market will face new challenges in the next 10 years. We suspected that with all the data we have available, innovative solutions are possible that we hadn't thought of ourselves. Companies and startups that are usually busy with other topics probably have a refreshing perspective. The purpose of the challenge was to encourage them to work out ideas.

Michael De BlauweProjectmanager, VDAB Analytics & Innovation TeamOn the VDAB data innovation challenge with Arinti
THE TEAM ON THIS TRACK
Sven Roegiers
Sven RoegiersManaging Partner
Bruno Magri
Bruno MagriData Architect
Tom Opdebeeck
Tom OpdebeeckAI Solution Architect
Rik Van Camp
Rik Van CampAI Business Architect

Let's get your data sharp.

Review the approach with your stakeholders, or plan a kickoff to finalise the details. One intake call is enough to scope the exercise for your organisation.

Take the readiness check
PROJECT IN MIND?hello@arinti.aiVeldkant 35C, 2550 Kontich, BelgiëLinkedInInstagram