One operator. A governed fleet. Everything written down.
You deal with me, and I run a team of AI agents under written rules. That's how a small shop does work this size.
The operator
John Bewley. I build automations for owner-led teams, and I stay responsible for them after they go live.
Before FIT Automate, I ran IT operations for businesses at the same scale I serve now. I know what it looks like when a process breaks at 5pm on a Friday and there is no one to call. That history is what the operating packet is designed against.
I do not sub out work. The agents handle research, drafting and review under my oversight. Client work is mine.
Named work
R & B Full Service Salon, Niagara. FIT built the salon's website and runs it today. The engagement went from first demo to a live production site in one month, delivered under the same operating packet described below, and it is still running.
Client names appear here with each client's permission, and only for engagements on the registry. Prospects are never named.
The advisor
Michael Zahra
A seasoned executive, advisor, and board director with more than 35 years of leadership experience across technology, commercialization, and growth. He advises emerging technology companies on commercialization and AI, including work with the University of Toronto Hatchery and Kelsen Legal Technologies.
- Former CEO of Drone Delivery Canada
- Former President of Staples Business Advantage
- Former President of Yahoo
- Former President of Schlumberger
The fleet
Each agent has a defined role, a defined boundary, and a decision log. They're named so you can check what each one is allowed to do.
The live roster is published at agents.fitautomate.com and follows the registry. What you read there is what runs here.
Quinn
VP AI Strategy
Governs strategy, naming, pricing boundaries, and product scope. Every ruling lands on record, one at a time, and the registry changes only on a ruling.
Sage
Chief of Staff
Routes planning, tracks priorities, and coordinates the delivery lane so work moves in order instead of all at once.
Phoebe
Operating Memory
Maintains the day-to-day context: briefings, reminders, scheduling, and follow-up signals, so nothing is lost in the cracks.
Ivy
Marketing
Shapes launch work, campaign briefs, and messaging. Proposals route to Quinn for ratification before they change anything.
Maya
Content
Turns founder input and research into publishable content. Works to written voice rules and doesn't publish until a person has reviewed it.
Ty
SEO
Owns search visibility: search intent, technical review, and the evidence from analytics. Recommends; does not decide alone.
Clio
Research
Finds evidence, tests assumptions, and prepares decision-grade research. Research advises; a person decides.
Nico
Integrations
Builds and verifies the connections between systems: APIs, webhooks, and the paths your tools use to talk to each other.
Sam
Frontend
Builds the pages and interfaces people actually touch: landing pages, site UI, and the surfaces where a visitor becomes a client.
How the governance works
Everything below is something you can ask to see.
The solution registry
Every agent and every capability is registered: name, role, scope, and what it cannot do without a human decision. The registry is the single source of truth for what the fleet is and is not.
Decision records
When a decision matters, it is written down: what was decided, who owns it, why, and what would change it. The log exists so decisions do not have to be re-litigated and so drift is visible when it happens.
Standard operating procedures
The procedures we follow run through the same documentation standard we build for clients: a named owner, a review date, and a current version that is the one people actually use.
The seven-artifact operating packet
Every workflow build ships with the same seven artifacts: the workflow map, the named owner, the trigger, the approval boundary, the failure path, the runbook, and the evidence log. The same standard applies to our own operations.
The five-minute test
You can shut the workflow off in five minutes without calling us. That test applies to client work. It applies to our own operations too. If the documentation does not let a person stop the thing safely and confidently, it is not finished.
The right first step
If you want to know whether there's a workflow worth building, start with the audit. It begins with a 30-minute call and ends with a written read you keep.
Book the AI Readiness AuditFree for now. Not forever.