StudioWorkretailer ai enablement prog…
Frame 01 · Case · retailer-ai-enablement-programme
case.retailer-ai-enablement-programmev.01
National home improvement retailer

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.

Headline result14 workflows adopted in 90 days
ClientNational home improvement retailer
Frame 02 · Hero visual
Fourteen AI workflows *live* in 90 days.
Frame 03 · Case study
Frame · Notes

The Challenge

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.

Frame · Method · 4-phase flow
// a repeatable rhythm

Our Approach

phase.01
01

Baseline the real work.

We shadowed the marketing and eCommerce teams for a week and logged where hours actually went. The automation targets chose themselves.

phase.02
02

Train by doing.

Live sessions built around each team's own tasks, not generic prompt tutorials. People adopt what they helped build.

phase.03
03

Ship the first workflows together.

Reporting automation, product description drafts and review mining went live with the team co-piloting, then owning.

phase.04
04

Govern without suffocating.

A simple usage policy and approved-tools list gave legal their guardrails and gave everyone else permission to move.

Frame · proof · 3 stats
stat.ai90 days after programme start
14AI workflows in daily use90 days after programme start
stat.savedLogged by the teams themselves
25hrsSaved weekly across the teamsLogged by the teams themselves
stat.ofSix months on, no mandate needed
87%Of trained staff still active usersSix months on, no mandate needed
Frame · Apply · new file
apply · q2-2603/05 open
Three slots remain · Q2 ’26

AI adoption is a people problem.

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.

01taken02taken03open04open05open
Frame · Apply · new file
apply · q2-2603/05 open
Three slots remain · Q2 ’26

Want a result like this?

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