AZTRA.
AZTRA's products were complex and could serve many industries. But leading with the two where they were strongest let them demonstrate the application elsewhere.
AZTRA is an AI and decision intelligence company working with enterprise clients across retail, CPG, and manufacturing.
When I met them, they were doing serious work for serious clients – but the language on their site wasn't doing it justice. It could have belonged to any AI company in the category.
I went deep on two fronts.
Inside the company, extensive interviews with the leadership team – listening for what they were doing that others weren't.
Outside, their market, their competitors, and the scars buyers in these industries are walking around with. And there are plenty. ERP implementations that took years. AI pilots that never made it to production. "Transformations" that added systems without adding value.
From the interviews and the research, I distilled the concept that would resonate most with their market – in the leadership team's own language:
AZTRA builds the intelligent orchestration layer between the systems their clients already run and the decisions their teams are trying to make. It connects their data, their tools, and the signals nobody is watching, then shows them what is coming, what they could do about it, and what each option is likely to cost or earn before they commit. No rip and replace, but better decisions from the systems their clients have already paid for.
A single unifying concept their competitors didn't have – and one the leadership team recognised the moment they heard it back.
From there, the site was built to speak to specific people first, not to everyone at once. Enterprise buyers don't shop for AI companies. They look for someone who can solve a problem they're actually dealing with, and that only becomes real in the specific – not the abstract. So each industry page (Retail & CPG, Manufacturing) met them there, in their language, with their problems. A Cross-Industry page then showed where the same orchestration layer applies beyond those markets, because the problem underneath is rarely confined to them. The architecture was calibrated to focus where AZTRA is now whilst holding the door open for the industries they'd move into next.
The How We Work section made working with AZTRA tangible, from first call through to delivery. It also surfaced something missing from the old site and absent from every competitor I looked at: outcome-based pricing. Skin in the game, built into the commercial model.
AZTRA came away with a positioning concept original to the category, drawn from their own thinking, and a website that finally sounded like them.