AI advice that survives contact with your business.

    We help Belgian and European organisations figure out where AI is actually worth the effort — and where it isn't. Workshops, roadmaps, and scoping work, led by people who've built the systems before.

    Where we start

    85–95% of AI pilots in Europe stall before they reach production. The cause is almost never the model. It's the data, the ownership, or the absence of a clear problem definition from day one.

    Three fixed-scope engagements. Each ends with a written document you can act on — or hand to another partner. No retainers. No junior teams. No pressure to continue.

    Volodimir at the whiteboard facilitating an AI innovation workshop
    1–2 days

    AI Use-Case Exploration Workshop

    Too many ideas. No way to compare them. We fix that.

    What you get

    • Use cases scored: impact, data readiness, feasibility, AI Act risk
    • One-page business case for the top 2–3
    • Readable by CEO and IT lead — no jargon
    • If you're not ready, we'll say so

    Deliverable

    Ranked shortlist + business cases, written summary in 5 working days.

    For: Leadership teams at the start of their AI journey

    Volodimir presenting an AI roadmap to a leadership team
    4–8 weeks

    AI Roadmap

    AI strategies that live in slide decks get defunded. We write ours.

    What you get

    • Prioritised 12-month plan: quick wins, scale initiatives, foundations
    • Named owners, phased budgets in ranges, stated assumptions
    • AI Act compliance pathway for every initiative
    • Operating model: build-vs-buy, vendor model, governance

    Deliverable

    ~25-page written roadmap + 1-page board summary your CFO can approve.

    For: Executive committees and larger SMEs making AI a programme

    2–4 weeks

    AI Scoping Lab

    Is your data actually good enough to build on? Find out before your dev team starts.

    What you get

    • Data readiness audit: what exists, what's missing, what's realistic
    • Technical feasibility: classical ML, RAG, fine-tuned, agentic, or off-the-shelf
    • Architecture sketch: components, data flow, human-in-the-loop
    • Cost and effort ranges: PoC → pilot → production
    • AI Act risk class + GDPR notes
    • Take the plan anywhere. No lock-in.

    Deliverable

    ~15-page technical report with architecture sketch and PoC plan.

    For: Teams with one specific use case needing a build decision

    N2AI is independent. We don't resell software, hold vendor partnerships, or receive referral fees. Every recommendation is based on what fits your problem — not what's on our price list.

    Industries We Serve

    Deep in Life Sciences and Manufacturing. Useful across the rest.

    Biotechnology

    Most biotech AI projects fail at the data layer, not the model layer. We start by auditing what you actually have — genomics, proteomics, assay outputs — before recommending anything. If the foundation isn't there, we help you build it first.

    Key Use Cases:

    Genomics Analysis
    Drug Target Discovery
    Biomarker Research

    Pharmaceutical

    Drug discovery pipelines generate enormous data volumes with uneven quality. We help you determine which AI applications will meaningfully compress your timelines — and which ones will create new compliance headaches without proportionate ROI.

    Key Use Cases:

    Drug Discovery
    Clinical Trial Optimisation
    Regulatory Compliance

    Healthcare

    Healthcare organisations typically lose 30–40% of their clinical data value to fragmented systems. We help you determine which AI use cases are worth the integration cost — and scope the ones that are.

    Key Use Cases:

    Medical Imaging
    Predictive Diagnostics
    Treatment Optimisation

    Finance

    Fraud detection and risk models are only as good as the features you feed them. We've seen many firms train models on data that looked right but reflected historical process failures. We fix the feature set before we touch the model.

    Key Use Cases:

    Risk Assessment
    Fraud Detection
    Trading Algorithms

    Manufacturing

    Unplanned downtime costs an average of €250k/hour. The question isn't whether predictive maintenance is worth it — it's whether your sensor data is clean enough to build on. That's what we find out first.

    Key Use Cases:

    Predictive Maintenance
    Quality Control
    Supply Chain Optimisation

    Enterprise

    Large organisations have the data and the budget, but rarely the internal capacity to distinguish an AI project worth running from one that will drain both. We provide that judgment — before the contract is signed, not after.

    Key Use Cases:

    Process Automation
    Document AI
    Business Intelligence

    Most AI conversations start with too much ambition and not enough data.

    Ours start differently. Tell us where you are — we'll tell you honestly whether we can help, and what a useful first step looks like.

    Volodimir Olexiouk, founder of N2AI

    Send us a message

    You're writing directly to Volodimir.

    Where we work

    Based in Belgium, available across Europe

    Headquarters

    Belgium

    Service Areas

    Remote consultancy — available globally

    On-demand projects — available globally

    On-site — Belgium