AI consultancy measured in shipped software.
Most AI consultancy ends in a slide deck and a list of vendors. Ours ends in a working feature, because the people doing the consulting are the people who build. We find where AI actually pays in your business, prove it with a prototype in weeks, and ship it into production as plain code you own.
Consultants who ship.
The advice comes from production, not theory - we run our own AI products, so every recommendation has been paid for once already by us.
AI classification, in the product and on the site
Our waste-compliance platform for the DEFRA digital waste tracking mandate. We built an AI agent that understands waste - EWC codes and all - and then put it on the website: visitors drag a photo onto the page and watch the classifier read it. The product sells itself.
AvagoAn AI website builder, end to end
Turns a business brief into a working website automatically, built on Duda's API - the marketing site, the AI engineering, the integrations and the account portal, delivered as one piece.
OutpitchAI-assisted sales tooling
One of our own products - AI applied to the unglamorous middle of a sales workflow, where an hour saved every day actually compounds.
Agency GeniusAI operations for agencies
Tooling we built for agency workflows, born from running our own studio on the same ideas we sell.
How the consultancy runs.
Audit, priced and honest
A fixed-price review of where AI genuinely pays in your business - and where it doesn't. You get a ranked list of candidates with effort, risk and expected return on each, written by engineers rather than analysts. Our Action Plan format, applied to AI.
Prototype in weeks
The top candidate gets built as a working prototype against your real data, not a demo against sample data. You judge results, not promises - and if the numbers don't hold, we say so and stop there.
Production, in your stack
What works gets engineered properly: plain code in a repository in your name, connected to the systems you already run, with guardrails and monitoring. No per-seat AI platform standing between you and your own feature.
Honest scope: if what you actually need is a data-science hire or an enterprise ML programme, we'll tell you that in the audit - it costs you a fixed fee to find out, not six months.
Fair questions.
It works out where AI creates real value in a business and how to implement it. The difference with Web Hero is that the same team then builds it: audit, prototype and production feature, so the advice is accountable to working software rather than a report.