Change Management and Responsible Adoption

All courses / AI Governance / Module 4 / Chapter 15

Learning objectives

After the lesson the participant can:

• Explain why adoption failures are architectural and why adoption data is governance evidence.
• Translate Rogers' five attributes of an innovation into design choices for an AI system.
• Convert commitments from employee consultation into controls with tests and reopen triggers.
• Define adoption metrics that reveal ceremonial oversight without becoming a surveillance tool.

Key concepts

The chasm

The gap between early adopters and the early majority, where AI programmes most often fall. Early adopters tolerate a model right eighty per cent of the time; the early majority experience a tool wrong one time in five. Crossing requires that the system change.

Champions network

Early adopters formalised as visible sponsors from each professional community, with protected time. Nordvik Region's charter states what champions do not do, including reporting on whether named colleagues use the assistant, so the role cannot drift into surveillance.

Consultation as a design review

Works councils and unions ask what employee data the system uses, who sees outputs, whether they serve performance management and how long logs are kept. The answers are recorded as commitments in the AI Decision Record and enforced in the permission model and retention policy.

Override rate

The share of recommendations that users reject or change, the clearest signal of whether human oversight is real. The dashboard gives it a healthy range: below suggests rubber-stamping, above suggests low quality.

Adoption nobody chose

Ambient and embedded features invert the adoption problem. The response is a standing review process, and the useful measure is the share of live AI features that have passed review, not the share of staff using them.

Interactive exercises

Do them here and get feedback at once. Choose a card and then where it belongs, or drag it.

Teaching plan

Discussion

1. The chapter says nobody should be measured on the acceptance rate of recommendations, because that metric rewards not looking. Which of your current measures might reward not looking?
2. A system that shows managers every override with the user's identity discourages overrides; the same data aggregated for model evaluation encourages them. How is override data governed where you work?
3. The guiding coalition must include the people who can stop you. Who are they for your next AI rollout, and when do they first hear about it?

Written exercise

Self-test

Choose an answer to see whether it is right, or open the answer below each question.

1. According to the chapter, what does crossing the chasm between early adopters and the early majority require?

   1. A stronger communication campaign from the pilot team
   2. A mandate from senior management that makes use compulsory for the early majority after the pilot ends
   3. A longer pilot with the same group of innovators
   4. That the system change: guardrails, evaluation gates and golden paths before the pilot graduates
   Show the answer

   D. That the system change: guardrails, evaluation gates and golden paths before the pilot graduates
   Crossing requires that the system change, not merely the message. The early majority must receive a more reliable product than the innovators played with, so the crossing has an engineering budget and a governance decision attached.

2. In a multinational group, who consults employee representatives on a tool built by group IT and used in several markets?

   1. The group platform team, once, for all markets together, since it built the tool and holds the system record
   2. Each employing entity under its own national rules, with material from the platform team
   3. The entity at headquarters, whose agreement binds the others
   4. The supplier of the underlying model, as provider
   Show the answer

   B. Each employing entity under its own national rules, with material from the platform team
   Who consults whom follows the employment relationship, not the platform. A commitment made in Germany about logging does not automatically protect claims handlers employed in Poland.

3. Which of these would the chapter count as a real short-term win?

   1. A demonstration on curated examples to the steering committee
   2. A high number of log-ins during the first month of the pilot
   3. A measured reduction in handling time on live cases, with error rates no worse than the baseline
   4. A survey in which pilot users report that they like the tool
   Show the answer

   C. A measured reduction in handling time on live cases, with error rates no worse than the baseline
   A demonstration on curated examples is not a win. The win is defined before the pilot starts, recorded as acceptance criteria in the use-case register, and measured on live cases against the baseline.