We help you close the AI Profitability Gap™

The AI Profitability Gap™ is the distance between what a company expected AI to deliver and what it is delivering. Underneath it sits a chain of five links in series: Investment, Usage, Direction, Skill, and Reinvestment. Every link has to hold before spending turns into profit. Return is what the chain produces rather than a link inside it, and it is the number a leader is already watching. Typical reporting and ROI measurement stop at the two ends of the front, spend and usage, which leaves three conditions in the middle that nobody measures. Direction asks whether the usage is pointed at anything that matters. Skill asks whether people can do more with the tools than the obvious. Reinvestment asks whether the time AI frees goes back into work that creates value. BCG's AI at Work report (June 2026) found that 74% of frontline employees are now regular AI users, up 23 points year over year, so usage is rarely where the problem sits. The three conditions after it are the work Average Robot does.

Most companies bring in AI experts for a rollout and a strategy deck. Then the experts leave before the change reaches the people doing the work. The tools sit half-used while the spend keeps running, and the AI Profitability Gap™ grows every quarter it's left unaddressed.

Investment is what you spend and Return is what comes back. The middle is closed by people and process, which is where Average Robot's three dimensions sit. Empowered People covers Usage and Skill: whether the team uses the tools, and whether it can do more with them than the obvious. Efficient Process covers Direction and Reinvestment: whether the work is pointed at something that matters, and whether the time AI frees goes back into work that creates value. Profitable Platform is the Return itself, which the chain produces rather than contains: the platform you already bought finally paying. The three dimensions name the parts of the chain, so there is one framework to follow. Average Robot starts with people and takes the change all the way to the individual doing the work rather than stopping at a leadership presentation, because people adopt the platform and the process turns adoption into performance.

The AI Profit Readiness Assessment is Average Robot's free starting point: a short assessment that shows a leader where their team's AI use stands, where the biggest gap is, and what their first move should be. It's the entry point to Average Robot's product ladder, which continues with the AI Profit Workshop ($2,999, credited in full toward the Sprint), the AI Profit Sprint (from $19,999, Average Robot's flagship 90-day engagement) and the AI Transformation Advisory (scoped to the organization).

Average Robot was co-founded by Matt Perry and Rob Cannon, PhD. Matt spent thirty years in marketing and creative, at M&C Saatchi, WPP, Omnicom, and Genero, and studied AI for business application at Kellogg. Rob is an organizational psychologist who studied at Cambridge and earned his PhD at Sydney, with more than twenty years guiding people through change, including ten years at Sony. Together they co-authored The Elephant in the Algorithm and host a podcast of the same name.

Average Robot works with the C-suite and their senior reports: the CEOs, Chief People Officers, COOs and CMOs who own what AI is supposed to return, with IT leadership alongside them. The fit is defined by the shape of the organization rather than its size. There has to be a specialist function inside the business that AI is landing on, and leaders who own it. The situation is consistent. The company knows it needs AI, has already tried, and the team is either not set up for it or is resisting it. That pattern looks the same on a marketing team as it does in operations, because the problem is psychological and organizational before it is technical.