More than 70% of AI projects fail at the pilot stage
Everyone is talking about artificial intelligence — yet in SMEs, more than 70% of all AI projects fail as early as the pilot stage. The reasons rarely lie in the technology itself; they lie in the missing link between technology, people and organisation.
The three recurring patterns
In our work with more than 40 mid-sized companies, we have identified three recurring patterns:
- There is no clear link between AI use cases and concrete business goals.
- The workforce's readiness for change is underestimated.
- Data quality and accessibility are lacking.
The synergy-team approach addresses all three dimensions
The synergy-team approach tackles all three dimensions at once. Instead of launching isolated AI projects, we start with an energy and workload analysis of the teams concerned. Only when the human foundation is right — self-regulation, conflict stability, solution focus — can technology realise its full potential.
An 85% adoption rate instead of the 30% industry average
Our experience shows that companies using the epigenetic transformation approach achieve an AI adoption rate of over 85% — compared with an industry average of under 30%. The key is not more technology but better integration.
Our recommended three-stage process
Specifically, we recommend a three-stage approach:
- Phase 1 — Human Performance Audit (4 weeks)
- Phase 2 — building synergy teams with AI competence (12 weeks)
- Phase 3 — scaling and embedding (ongoing)
This process ensures that AI initiatives are seen not as a foreign body but as a natural extension of what the teams can already do.