Fourteen AI workflows live in 90 days.
A national retailer with AI ambition, no internal capability, and a board asking hard questions. We trained the marketing and eCommerce teams, then built the first workflows with them until adoption stuck.
A national retailer with AI ambition, no internal capability, and a board asking hard questions. We trained the marketing and eCommerce teams, then built the first workflows with them until adoption stuck.

The board wanted AI. The teams had ChatGPT logins and a graveyard of pilots. Nobody owned adoption, nobody measured anything, and the legal team had quietly banned pasting customer data into anything with a text box. Our AI training and change management programme started where adoption actually fails: skills, trust and workflow fit, not tools.
We shadowed the marketing and eCommerce teams for a week and logged where hours actually went. The automation targets chose themselves.
Live sessions built around each team's own tasks, not generic prompt tutorials. People adopt what they helped build.
Reporting automation, product description drafts and review mining went live with the team co-piloting, then owning.
A simple usage policy and approved-tools list gave legal their guardrails and gave everyone else permission to move.
If your pilots stall and your teams are unconvinced, the fix is training plus workflows that fit. We will show you what that looks like for your org.
We take five new clients per quarter. Apply for a free audit and we'll tell you what we'd do first.