Boots · Agency AI Audit
You pitched AI to a company with 17 million loyalty profiles. You never mentioned them.
Brief: Boots asked for an assessment of their agency's AI pitch before presenting to the board.
Six dimensions assessed
A capable AI strategy for a pharmacy-adjacent health retailer. The Advantage Card dataset — 17 million active members, one of the UK's largest loyalty datasets — was not referenced once. This is the most significant gap in any AI brief to Boots.
Technical Credibility
6/10
The tools are right. The implementation experience in health and pharmacy retail is thin. AI that works in fashion retail does not automatically transfer to a compliance-heavy health context.
Loyalty Data Expertise
1/10
The pitch mentioned "personalisation" twice and "loyalty-driven AI" once. The Advantage Card dataset — the starting point for any serious AI work with Boots — was never mentioned. This isn't a gap. It's disqualifying.
Three verified case studies. One is pharmacy-adjacent. Two are FMCG. Relevant but not specific enough to remove doubt.
Strong on seniority. Less clear on who specifically has worked with loyalty datasets at scale and what that work looked like.
Implementation Clarity
5/10
The roadmap is more specific than most. Missing: integration with the Advantage Card infrastructure, data governance for the Walgreens Boots Alliance context, and pharmacy compliance layer.
Composite: 38/100
Ask for a revised pitch with the Advantage Card at the centre.
Specifically: what can you do with 17 million profiles, what governance does that require, and how does that change the model you've just shown us? If they can't rework the pitch around your most valuable asset, they're not the right partner for this work.