We build the parts of your business
that should already be running autonomously.

“AI consultancy” doesn't quite fit. Consultants hand you a deck and a Notion page. We hand you a running agent. Call us an agent studio, an operator-builder shop, AI for teams that'd rather just see it work — the label matters less than the difference.

The difference: we live this. Flywheel is run by operators with skin in the game — long-time business owners, full-stack marketers, ops directors. Every agent we ship has already removed boring loops from our own work first. We didn't design these for someone else and look for buyers; we built them because our own businesses needed them, and the playbook turned out to travel well.

The pattern that started this company was simple: every team we talked to had a shortlist of workflows that should have been automated years ago. The daily PPC pruning, the inbox triage, the account research, the QBR prep, the support tickets that never go away. Workflows so familiar that nobody questioned them anymore. Workflows so painful that nobody had the budget to fix them properly.

That's where we come in. We find those loops, build agents to run them, and stay on to make sure the agents keep getting better. Not slideware. Not a POC. A working system that lives in your stack and shows up on your dashboards.

What we believe

• Boring beats flashy. The agents that pay back are the ones that quietly remove hours from someone's week, not the ones with the slickest demo.
• Most agents should be 70% deterministic. The judgment goes where the LLM helps; everything else is a workflow. We pick the line carefully.
• Evals or it didn't ship. Every agent we build comes with a harness so quality doesn't regress when the model bumps under you.
• Every agent self-improves. We bake a feedback loop into every shipped agent. Corrections, overrides, and reviewer signals flow back into the eval set and the prompt library, so the agent gets sharper week over week instead of drifting.
• We stay on after launch. Agents drift. Customers change. Models update. A handover-and-go engagement is a recipe for fragile systems we'd be embarrassed by in six months.

How we work with clients

We take on a small number of engagements at a time. The first week is always an audit: we sit with your team, look at the workflows, and figure out which of them are actually agent-shaped vs. just begging for a real automation tool. Some of the time we tell you the answer is Zapier. We'd rather lose the engagement than build the wrong thing.

When the answer is "yes, this wants to be an agent", we prototype in 3–4 weeks on real data, ship to production in another 1–2, and then run it with you for as long as it makes sense. Most of our client relationships are measured in years, not projects.