Building AI confidence the human way: AI readiness Labs for Endava's project leads leading to org-wide AI readiness sessions.
Building AI confidence the human way: AI readiness Labs for Endava's project leads leading to org-wide AI readiness sessions.
Indrusty
IT Services & Software Engineering
Year Founded
2000
Headquaters
London, UK
Employess
9,000+
Results
The Numbers That Matter
Leaders developed
18
Labs
2
Average session rating
4.7/5
AI capability growth
23%
Value of Peer Learning
4.8/5
Learning transfer score
9.3/10
Challenge
- The muscle-memory gap — Generic AI training completion was high, but teams still defaulted to pre-AI workflows.
- Scattered innovation — Teams were building similar AI tools in isolation, with no way to share what worked.
- Client constraints — Engineers were asked to build AI skills but couldn't always apply them on client projects in regulated sectors.
- Leadership confidence — Leaders needed enough AI understanding to guide teams, without needing to be technical experts.
Solution
- Discovery first — Conversations across Endava surfaced six gaps between knowing about AI and using it by default.
- Two connected Labs — Lab 1: Developing an AI-First Mindset. Lab 2: AI Business Impact & Workflow Integration.
- Practical frameworks — Adoption-Friction mapping, SAM-R and Jobs to Be Done, applied to participants' real workflows.
- Expert facilitation — Led by an AI practitioner with two decades in the field, with peer working groups between sessions.
Outcome
- A shared language — SAM-R and Jobs to Be Done gave participants a common way to decide where AI fits in a process.
- Peer learning valued — Participants rated exploring challenges with peers 4.7 out of 5.
- Taken back to teams — Participants committed to re-running the exercises with their own teams.
- Scaling up — These Labs led to a roll-out of organisation wide AI Readiness sessions.
