Machinegeist
machine/məˈʃiːn/ · n.

An apparatus that runs without understanding.

geist/ɡaɪst/ · [German]

Spirit; mind; the animating principle.

We embed engineers in mid-market companies and build the operating model where intelligence compounds.

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Practice Independent · Forward Deployed · Vendor-neutral
Buyer Founder- or family-led · Mid-market · Benelux
Engagements Pilot · Retainer · Advisory
Selection Direct or by referral
The gap

AI made everyone faster. It made almost no company more valuable.

AI spend is up 22x since 2023. Six percent of companies see a return. Most bolted a model onto the old process and called it adoption, the way the first websites were brochures scanned to PDF.

Approach

We find where the work leaks. Then we decide whether the fix needs AI or regular software, and deploy the one that pays for itself.

  1. 01

    Audit & prioritize (under 2 weeks)

    • We learn how you decide and work
    • We find the leaks and what each one costs
    • Go or no-go. Your call.
  2. 02

    Build & deploy (3-6 weeks)

    • We encode the operating model: decisions, policies, standards, design systems
    • We build the smallest useful layer on data you already have
    • It ships into the real workflow, with your team. You keep everything we build
  3. 03

    Train & maintain

    • Run it without us, or keep us on to keep it sharp. No lock-in either way.
    • Your team learns to run and extend the system
    • The system self-heals and improves within bounds you set: loops and agents that catch and correct their own failures
Start a conversation

Tell us what you need.