Major insurance group
Assessing the impact of AI across 50 job families
Analysis of activities, uses, perceptions and skills, followed by HR recommendations and discussion workshops.
Explore the caseEvolve work, skills and organisation for lasting AI adoption.
Start with actual work
Tools are available but usage is fragmented. Managers need guidance and teams have questions about how their roles will change. You want to connect performance, skills and quality of work.
An activity analysis; change scenarios; a skills and adoption roadmap; guidance for managers; and measures of performance and quality of work.
Actual adoption, team autonomy, skills development, quality of work and process performance. We also examine how released time is reinvested.
AI in practice
FAQ
From scoping, to understand activities and design uses with the people who will work with them.
It also covers roles, management, validation rules and work organisation.
Analyse actual work, data and constraints. Design the target operating process with teams and define success criteria.
Build an initial solution and test it with users. Measure benefits, quality, risks, costs and energy consumption.
Integrate the solution into operations, prepare teams and organise its running. Monitor use and improve both agents and processes.
A clear need or an early idea? Start with a conversation. We will reply within a few days.