AI Value Canvas

A free framework · aivaluecanvas.com

The AI Value Canvas

One page, an agent skill and a guide to find, score, and own the AI value in your software company. Built from real engagements, not theory. Free.

Discover. Score. Count. Own.

The AI Value Canvas, in five minutes
The AI Value Canvas: nine boxes across four moves - Discover, Score, Count, Own
The canvas. Nine boxes, one page, a 90-minute session with your leadership team.
One page · 5 formats

The Canvas

PDF, PNG, PowerPoint and Excalidraw. Print it A3, project it, or edit it. Licensed CC BY-SA 4.0: use it, share it, teach with it.

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7 pages · workshop-ready

The Field Guide

Run your own 90-minute session: the agenda, the facilitation rules, 1-5 scoring anchors for all 14 factors, and a complete worked example.

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Installable · for Claude

The Skill

The canvas that fills itself. An installable AI skill: it interviews you, or reads your meeting notes, and produces your completed, scored canvas.

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Download the Package

The canvas in five formats, the field guide, and the skill. One package.

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    Built with Kit
    Lukas Hertig

    Where this comes from

    I spent twenty years building the automation layer that ran the web-hosting industry: EUR 240M in ARR, a EUR 1.5B exit, fifteen acquisitions. In 2024 I started applying that playbook to AI, at European software companies.

    The method behind this canvas came out of real engagements: at one EUR 100M+ European software company it meant eleven discovery sessions and thirty-six opportunities scored. When a frontier lab switched off two models mid-engagement, nothing had to be rebuilt. Both lessons, the scoring and the independence, are in these nine boxes.

    The canvas is free because knowing where your AI value sits should not cost money. Executing on it is a different job, and that one we do for a living.

    Lukas Hertig · Created in Switzerland, where one-page canvases apparently come from. :)

    A self-run canvas gives you a ranked, argued-over list. Calibrated scoring, a board-defensible ROI model, a data classification, and a working prototype on your real stack are the four-week AI assessment.

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    No pitch. You'll leave with at least one recommendation you can use — whether or not we ever work together.