§ AI IMPLEMENTATION PROGRAMME[N° DIAGNOSTIC]

    Total Process Analysis.

    A complete map of how work actually flows across your organization, scored for AI opportunity, data readiness, and sequence dependency. The signature diagnostic inside our AI Implementation Programme, run before any AI tool is recommended.

    20

    Business domains mapped

    H / M / L

    AI opportunity scoring

    1

    Sequenced roadmap

    Before

    Any AI tool is chosen
    § 01 — What it is

    A full-business process analysis, not a tool evaluation.

    A Total Process Analysis is a complete map of how work actually flows across your organization. We score every relevant domain for AI opportunity, measure data readiness per function, and surface the dependencies between functions so implementation is sequenced safely. The deliverable is a roadmap, not a slide deck.

    § 02 — Why it comes first

    Most AI pilots fail because they are applied to the wrong process in the wrong order.

    The technology is rarely the problem. The problem is choosing a function without checking whether the data is ready, whether the process is stable, or whether another function has to change first. A TPA answers three questions before a tool is bought: where to start, what to skip for now, and what will block adoption.

    § 03 — Scope

    The 20 domains we survey.

    The framework covers twenty business domains. Each domain is selectable per engagement, because a small startup does not need the same scope as a vertically integrated manufacturer.

    / 01

    Governance & Board

    Decision rights, reporting, and oversight of execution.

    / 02

    Commercial Readiness

    Market fit, pricing, and launch preparedness.

    / 03

    Market Intelligence

    Signals on competitors, customers, and pipeline movement.

    / 04

    Customer Awareness & Acquisition

    Demand generation and the path to first contact.

    / 05

    Sales Management

    Pipeline, forecasting, and the discipline of the sales motion.

    / 06

    Customer Success & Retention

    Onboarding, adoption, and expansion inside the installed base.

    / 07

    Sourcing & Procurement

    Supplier relations, qualifications, and inbound material flow.

    / 08

    Production Planning

    Scheduling, capacity, and the flow from order to output.

    / 09

    Production Operations & KPIs

    Day-to-day output against the measurements that matter.

    / 10

    Quality Control

    In-line checks, release decisions, and non-conformance handling.

    / 11

    Quality Assurance & Audits

    Systems, documentation, and audit readiness.

    / 12

    Safety, Health & Environment

    Risk management, incidents, and environmental compliance.

    / 13

    Regulatory Affairs

    Submissions, market approvals, and post-market obligations.

    / 14

    Research & Development

    Project pipeline, stage gates, and technical risk.

    / 15

    Logistics & Shipping

    Warehousing, distribution, and customer delivery.

    / 16

    Finance & Controlling

    Planning, reporting, and the numbers the board reviews.

    / 17

    Human Resources

    Hiring, capability, and the people side of execution.

    / 18

    IT & Data Infrastructure

    Systems, integrations, and the data foundation AI depends on.

    / 19

    Intellectual Property

    Patents, trademarks, and protection of commercial position.

    / 20

    Executive & Strategic Ops

    Strategy execution, cross-functional coordination, priorities.

    Not every engagement covers all 20. Selection depends on company type, industry, and the maturity of each function.

    § 04 — Principle programme

    Diagnosis runs on a principle programme.

    The programme is grounded in Lean, Six Sigma, Theory of Constraints, and field experience with AI adoption. It keeps the analysis honest when the temptation is to jump to tools.

    / 01

    Find the bottleneck first

    Most of the outcome is decided in a few places. Optimizing anything else is motion without progress.

    / 02

    Measure output, not activity

    A busy function is not a productive one. The baseline is what came out the other end, not what was scheduled.

    / 03

    Map the process as it runs

    The documented process is a theory. We work from what actually happens on a Tuesday night.

    / 04

    Automate last, never chaos

    Automating a broken process just makes it fail faster. The process gets stable first, then AI goes on top.

    § 05 — Deliverables

    What you walk away with.

    01

    Domain-by-domain process map

    Every relevant domain mapped as it actually runs, with AI opportunity rated High, Medium, or Low.

    02

    Data readiness baseline

    A per-function view of what data exists, where it lives, and whether it is fit to feed AI.

    03

    Dependency analysis

    Where changes in one function will block or unlock changes in another. The sequence matters.

    04

    Sequenced implementation roadmap

    A prioritized plan with measurable milestones. What starts first, what waits, and why.

    05

    Principle-based diagnosis

    A clear read on where AI fits, and the functions where it is premature or a distraction today.

    § 06 — Fit

    Who it is for.

    Small to medium life science and medtech companies in commercialization phase, where leadership has decided AI belongs somewhere in the business but has not yet settled where. It is not the right engagement for teams wanting a quick AI demo.

    § 07 — Questions

    What teams ask first.

    Practical answers to what gets asked before a TPA engagement is scoped.

    / 01

    How long does a TPA take?

    Typically four to eight weeks, depending on the size of the business and how many of the 20 domains are in scope. The first week is selection and access, then we run the analysis, then we write up the roadmap.

    / 02

    When is a TPA the wrong choice?

    When the question is already scoped to a single process, or when leadership wants a fast AI demo rather than a diagnosis. A narrower engagement is a better fit. A TPA is the right choice when the decision is where AI belongs across the business, not whether one specific tool is worth trying.

    / 03

    How does this differ from AI Process Mapping?

    TPA is the whole-business diagnostic. AI Process Mapping is a narrower engagement that picks one process and implements AI inside it. Both sit inside the AI Implementation Programme. Many teams start with a TPA and then commission an AI Process Mapping engagement for the first priority it surfaces.

    / 04

    Do you always cover all 20 domains?

    No. Which domains are in scope depends on company type, industry, and the maturity of each function. A small startup in early commercialization is scoped differently than a vertically integrated manufacturer. The selection is part of the first week.

    § FIRST CALL

    Start with a diagnosis.

    Thirty minutes. You describe where you stand. We say directly whether a TPA is the right engagement for you, or whether a narrower one fits better.