HLTH Europe · RAI Amsterdam
    15–18 June 2026 · Meet us there
    HEALTHCARE & LIFE SCIENCES

    Health innovation doesn't fail in the lab. It fails at adoption.

    We measure and fix the human layer of health AI — H2H collaboration and H2M readiness — so pilots become practice, not purgatory.

    People collaborate. AI augments. We make both ready.

    Built on 40+ years of organizational psychology.

    THE SYMPTOM

    AI pilots multiply. Adoption doesn't.

    Across pharma, life sciences and health systems, pilots keep launching — and keep stalling. Not because the technology fails, but because functions pursue misaligned goals, silos block knowledge flow, and teams lack the psychological safety to use AI in the open. The result: faster silos, stalled value, and one more pilot next quarter. We call it the pilot trap.

    THE NUMBERS

    Independent research keeps reaching the same conclusion.

    95%

    of generative-AI pilots deliver no measurable P&L impact — and the core issue is organizational, not model quality.

    MIT NANDA, The GenAI Divide, 2025

    50%

    of GenAI projects were abandoned after proof of concept by the end of 2025.

    Gartner, 2026

    70%

    of the AI challenge is people and processes. Only 10% is the algorithms — and in life sciences the ratio skews further toward people.

    BCG, the 10-20-70 rule

    The pilot trap isn't your organization's quirk. It's the market default — until someone fixes the human layer.

    THE DIAGNOSIS

    Four mechanisms decide whether health innovation scales.

    Goal Alignment

    Functions optimize for the same outcome, not their own KPIs.

    Boundary Spanning

    Knowledge crosses silos instead of stopping at them.

    Cognitive Diversity

    Different perspectives reach decisions, not just meetings.

    Psychological Safety

    People use AI in the open — questions, errors and all.

    THE METHOD

    Diagnose first. Then fix. Then prove it.

    1. 01

      Audit

      We measure H2H collaboration and H2M readiness across your teams and functions.

    2. 02

      Fix

      Targeted interventions on the mechanisms blocking adoption — alignment, spanning, diversity, safety.

    3. 03

      Re-measure

      Pre/post measurement shows what changed. Evidence, not anecdotes.

    WHO IT'S FOR

    Pharma & life sciences

    Your organization doesn't lack AI — it lacks alignment. We diagnose where R&D, clinical, regulatory, medical and commercial pull apart, and fix the mechanisms that gate adoption.

    Healthtech vendors

    Your product works — your client's organization may not be ready. We audit buyer-side readiness, so deployments turn into reference customers, not stalled pilots.

    EVIDENCE

    Measured before. Measured after.

    Every engagement starts and ends with measurement. Our first healthcare adoption benchmarks are in the works — be the first to read them.

    We'll only email you about the report. Unsubscribe anytime.

    Questions we get from health leaders

    Why do AI pilots fail to scale in healthcare?

    Most health-AI pilots stall for organizational, not technical, reasons: R&D, clinical, regulatory and commercial functions pursue misaligned goals, silos block knowledge flow, and teams lack the psychological safety to use AI openly. Collaboration.tech calls this the pilot trap — a measurable, fixable human-layer problem.

    What is AI readiness in healthcare?

    AI readiness is an organization's measured capacity to adopt AI and capture its value. It spans human-to-human (H2H) collaboration and human-to-machine (H2M) readiness — calibrated trust in AI and integration into real workflows. People collaborate; AI augments. The Collaboration.tech Readiness Audit scores both.

    What is the difference between coordination and collaboration?

    Coordination merely synchronizes tasks. Collaboration requires a shared goal, mutual interdependence and trust — which is why "coordinated" health organizations still fail at AI adoption. True collaboration doesn't come naturally; it is built deliberately through goal alignment, boundary-spanning, cognitive diversity and psychological safety.

    What is the human layer of health innovation?

    The human layer is everything between a working technology and adopted practice: aligned goals across functions, boundary-spanning between silos, cognitive diversity in decisions, and psychological safety. Forty-plus years of organizational psychology show these four mechanisms decide whether health innovation scales.

    How can healthtech vendors improve adoption on the client side?

    Deployment success usually depends on the buyer's collaboration readiness, not the product. Auditing the client's H2H and H2M readiness before and during rollout shows where adoption will stall — and what to fix.

    IN THE ECOSYSTEM

    Connected to the heart of European health innovation.

    HLTH Europe is the continent's largest health innovation event, convening thousands of providers, payers, pharma and healthtech leaders each June at the RAI Amsterdam. Collaboration.tech is part of that community — our co-founder Robert Wójcik serves as HLTH Ambassador in Poland, bridging the Polish and CEE health ecosystem to the global stage.

    The recap video below comes from HLTH Europe 2026, held 15–18 June 2026 at the RAI Convention Centre, Amsterdam.

    Meet us there — and find out where your AI adoption stalls before your competitors do.

    21 – 24 June 2027 · RAI Convention Centre, Amsterdam

    Recap · HLTH Europe × Polish Mission

    Key takeaways

    • Polish delegation of 70+ leaders at HLTH Europe, including the Ministry of Health and Poland's e-Health Department.
    • Homegrown health tech on the world stage: Infermedica, Doctor One and other export-ready companies.
    • Direct, informal access to health ministries from across Europe — no barriers, real conversations.
    • Poland's digital health stack (patient portal, e-prescriptions, e-referrals, online patient account) treated as a reference model.
    • Core message: shaping the future of health, not just doing business — clinicians and patients in the same frame.

    Ready to leave the pilot trap?

    Start with a diagnosis, not another pilot.