Your company bought AI for everyone. Most of it sits unused, because nobody was ever shown how. RideAlong rides along with your team, finds the work a machine should be doing, and teaches people to hand it over.
Works with the tools your team already has. Nothing new to learn.
One person, a pile of work that repeats every week, and the moment it stops being her problem for good.
Every company on earth just handed its people the most capable software ever built, then walked away. Training decks got skimmed. Consultants left. The tools are still sitting there, and the work is still being done by hand.
Paid enterprise AI seats now sitting inside companies, billed per person, every month.
Roughly a quarter of those paid seats get used in a given week. The rest quietly opt out.
It was never a tooling problem. People needed someone beside them, on their own work.
Figures from public enterprise adoption reporting, 2026.
We are building this with our first design partners right now. You talk to the people writing the code, and the things you ask for actually get built.
People learn when someone sits with them and walks them through their own work. That is the whole product.
Your people turn it on. RideAlong learns the shape of their day and finds the parts that repeat, the parts that drain hours, the parts a machine should have taken over months ago.
Not a course, not a webinar. A quiet nudge at the exact moment the work shows up, then a guided walkthrough on the real task in front of them. They do every step themselves, which is why it sticks.
What was a Tuesday ritual becomes a routine that runs on its own. Nothing goes live without a human saying yes, and anyone can pull the plug on it in one click.
Every hour handed back is counted, priced, and rolled up by team. Finance stops guessing whether the AI budget was worth it and starts reading the number.
Leaders get the view they have been missing since the day they signed the contract. Who is actually using AI. What skills are spreading, and where they are stuck. How many hours came back last month, and what those hours are worth.
Get a walkthroughBring us one team and one messy week of work. We will show you what RideAlong finds, what it can teach, and what it hands back.
Built by two people who kept watching smart teams do work a machine could do.
Hey. I noticed you trying to get the most out of your enterprise AI. Want RideAlong to show you how?