01 — AI Opportunity Discovery

    Know exactly where AI pays off — before you build anything

    Process mapping, prioritisation, and a quantified business case in weeks. The evidence-based starting point that separates automation programmes that scale from pilots that stall.

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    The problem this stage solves

    Most AI initiatives fail at the selection stage, not the build stage

    The pattern is always the same: a promising pilot, chosen because someone suggested it, built because it was feasible — then months later, no measurable impact and a sceptical CFO. The technology rarely failed. The choice of where to point it did.

    Discovery replaces guesswork with evidence. Before anything gets built, you know which processes carry real value, what they cost you today, and what automating them is worth.

    What happens in this stage

    Weeks of analysis, not months of workshops

    A structured, evidence-first process runs across your operations — mapping, scoring, and modelling automation value in weeks.

    Process mapping across functions

    We analyse workflows, systems and manual effort across your operations — typically mapping 30–50 processes — to surface where automation is both feasible and valuable.

    Prioritisation heatmap

    Every candidate scored on value, complexity and readiness, visualised so your leadership can see the whole opportunity landscape on one page — and agree on where to start.

    Quantified business case

    Not "AI could help here" — a value model with efficiency and cost impact per process, sequenced into a roadmap your board can approve.

    The mechanism

    Dozens of processes mapped and scored — a handful surface as the starting point

    The prioritisation landscape a buyer would actually see at the end of Discovery.

    Business case + roadmap

    Board-ready, in weeks

    What you have at the end

    What we deliver

    A clear, evidence-based path to automation ROI — not scattered initiatives.

    • Automation opportunity map across your operations
    • Prioritisation heatmap — value, complexity, readiness per process
    • Quantified efficiency and cost impact
    • Target processes for agents, AI and RPA
    • Business case and value model, board-ready
    • A sequenced roadmap into stages 02–04
    Why this works

    We specialise in one thing

    Turbotic focuses exclusively on AI and automation transformation — identifying, governing, building and scaling it. Discovery is not a generic consulting assessment repackaged for AI: the analysis runs on the same platform that will later orchestrate your automations, so nothing gets mapped that can't be built.

    And because the business case is the product of this stage, you can stop here if the numbers don't convince you. They usually do — but a discovery that's honest enough to say "not yet" is the reason the next stages work.

    What happens next

    Discovery hands straight into Govern

    The roadmap doesn't sit in a slide deck. Stage 02 puts EU AI Act-ready guardrails around your priority processes, and stage 03 starts building — MVP agents first, production-grade from the start. Same team, same platform, no re-briefing.