// The FireScore · AI adoption, bottom-up

Turning resistance into demand.

We are here to support you to maximize the success in your AI rollout. Process maps do not show whether people want to automate. The FireScore measures exactly that. Anonymous, individual, before the technology decision.

// The principle
The right question is not what a machine can do, but what people are willing to entrust to it and hand over.
// 01 · The method

Four dimensions. One scale. The decision sits with the people who do the work.

F

Fulfillment

How important is it to me to accomplish this task myself?

I

Identity

How strongly do I identify with this activity?

R

Resistance

How great would my resistance to automation be?

E

Energy

Does this task give me energy, or drain it?

Employees rate their own recurring activities, on a scale of 10 to 0, across four dimensions. The mean is the task’s FireScore. The method in detail

10–9 Don’t touch 8–6 Human interaction preferred 5–3 Gray zone 2–0 Automate

// Schematic view: 180 activities, six departments, colored by zone. No individuals identifiable.

10–9
Don’t touch
Solving problems creatively and individually.
8–6
Human interaction preferred
AI as assistance, when the person wants it.
5–3
Gray zone
Individual conversations. This is where the valuable contradictions sit.
2–0
Automate
AI as a welcome relief. The people affected support the effort.

Anything above score 5 is heard individually, a steering-committee resolution, not a consultant’s promise.

// 02 · Case study

Around 180 activities, six departments and a satisfied Works Council.

A mid-sized company with ~300 employees. § 87 BetrVG, DPA under Art. 28 GDPR, DPIA under Art. 35: governance is part of the method.

Read the case study
Illustration: team at a round table
Abstract campfire motif
// 03 · The sequence

8–10 weeks from the first question to the first productive automation.

The sequence in detail.

Learn more
// Contact

Start with one pilot team.