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Beyond Prompt AI Studio

Seven modules, seven individual insights – but an AI project needs a sequence, not just a list of principles. This module ties all previous insights together into a roadmap with five sequential phases.

Four roadmap realities – worth remembering

Try it yourself: the five-phase roadmap

Phase 1

Diagnosis before action

Check which of this course's described risks are already present in your company.

Phase 1: Diagnosis before action

The roadmap doesn't start with an action, but with a stock-take: how high is the risk that this project fails on people rather than technology – the central insight from "Why Most AI Projects Fail on People, Not Technology"? Are there already signs of a frozen-middle effect, as described in "The Frozen Middle: Why Middle Managers Often Block AI Adoption"? And which of the concerns named in "Real Fears: What Employees Actually Worry About" are already noticeable in your own workforce?

Phase 2: Settle model and responsibilities

Based on the diagnosis, the organisational frame is planned – using both levels from "Two Levels, Two Models: Kotter and ADKAR": Kotter's steps for the organisation as a whole, ADKAR's five stages as a check grid for each individual person and team.

Phase 3: Anchor participation structurally

This phase implements two modules at once: the general participatory approach from "Practice: The Participatory Approach" for the workforce, and the targeted interventions from "Practice: Winning Over Middle Management, Specifically" for middle managers in particular. Both run in parallel, not sequentially – middle management needs its own real say, while the rest of the workforce gets its co-design workshops and pilot groups.

Phase 4: Communicate transparently

Every communication in this phase follows the principle from "Communication That Works: Transparency Instead of Reassurance": a clear separation between what's settled, what's still being decided, and what's currently open, instead of blanket assurances.

Practice section: Phase 5 – reinforcement, not closure

The last phase isn't a finish line, but ADKAR's fifth stage in practice: Reinforcement. Without recurring reinforcement – renewed feedback loops, renewed conversations with middle management, renewed transparent updates – an organisation falls back into old patterns, even if all four previous phases went smoothly. The roadmap therefore doesn't end with rollout, but with a fixed recurring rhythm for exactly that.

The key points

  • The roadmap starts with a diagnosis of your own risk situation, not an action – based on the causes from the first three modules in this course.
  • Kotter and ADKAR are planned together: Kotter for the organisation, ADKAR as a check grid for each individual person.
  • Participation for the workforce and targeted interventions for middle management run in parallel, not sequentially.
  • Every communication in this roadmap follows the transparency principle instead of blanket assurances.
  • The last phase is reinforcement, not closure – without recurring feedback loops, an organisation falls back into old patterns.

Communication That Works: Transparency Instead of Reassurance

Quick check: did it sink in?

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What does the roadmap start with, per this module?

Want to apply this roadmap concretely to your next AI project?