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Four areas of work.

  • Strategy

    Know where to invest

    A clear view of what to do first, what it costs to run, and what to leave alone.

    • Assessment
    • AI strategy and roadmap
    • Is this AI project worth it?
    • From strategy to first projects
  • Design

    Choose what to build on

    Technology and vendors tested against how you operate, tools that connect, one approved AI set-up, and clear rules for where data is kept.

    • Technology and vendor evaluation
    • Proofs of concept and tenders
    • Company-wide AI workspace
    • Private AI and hosting in Switzerland or the EU
    • Replacing a system or renewing a contract
  • Build

    Simplify the work

    Simpler processes, with automation and AI where they pay off, set up in your accounts or with your chosen vendor.

    • Process redesign
    • Integrations and automation
    • Small custom tools and prototypes
    • Better information for daily decisions
    • Lower AI running costs
  • Enable

    Bring your people with you

    Teams that use their tools well and keep improving their own work.

    • Adoption through real work
    • Bringing people along in change
    • Aligning departments on shared tools

Three ways to work together.

  • Assessment

    The fixed-price first step: where you stand, and what to do first or which option to choose.

  • Focused engagements

    A fixed scope and term for a larger piece of work: a process redesign, a vendor selection and proof of concept, a new system or a company-wide AI set-up.

  • Ongoing partnership

    A set number of working sessions each month, one process at a time, until your teams can run improvements on their own.

What changes with size.

Owner-led businesses (5–50 staff)

  • Knowing where to start, with a plan that fits a small team
  • Tools that work together
  • Less time lost to manual work
  • A team that keeps improving its own work
  • Replacing a core system or renewing a contract

Larger organisations and departments

  • Evaluating complex technology and choosing vendors
  • Putting an existing AI strategy into practice
  • Department AI and automation projects
  • Aligning departments and sharing what works
  • Bringing employees along in change
  • Keeping AI running costs in check

When AI is worth it.

Before I recommend AI for a task, I check three things.

  1. What it costs to set up and run.

  2. What it costs to check its work.

  3. What a mistake would cost.

If it does not pay off, a simpler option wins.