AI enablement & tooling

AI workflows people actually use, and a tool stack chosen on evidence instead of on a demo.

Both halves solve the same problem: something new only helps if the team adopts it. So the work starts with how they already work, and ends with a check on whether the change held.

Workflows, skill systems, pipelines, and automations built around existing habits
Custom internal tools where nothing off the shelf fits the job
Tool evaluation against your goals and your current stack, with build-vs-buy called either way
Rollout and adoption: pilots, training, and a usage check three months later