About Operiva
Big-company automation, sized for the rest of us
Enterprise teams have had armies of engineers wiring their systems together for decades. The businesses that actually run the economy — the dealers, distributors, firms, and shops — have had copy-paste. Operiva exists to close that gap.
Operiva started with a simple observation: the most expensive work in a small business is often the least valuable — reading an email, retyping what it says into another system, and telling someone it happened. Modern AI can finally do that work reliably. Not by drafting suggestions for a human to fix, but by finishing the job.
Our first production automation does exactly that: it reads order emails as they arrive, creates the matching invoices in QuickBooks under the customer's own pricing rules, notifies the team in Slack, and confirms back to the sender — end to end, in minutes, around the clock. Every run is logged and reviewable, because automation you can't inspect is automation you can't trust.
We're building Operiva workflow by workflow, client by client — deliberately. Each engagement teaches the platform something new about how real businesses run, and each automation is one less evening a team spends on busywork.
What we believe
Automate the real thing
We don’t sell dashboards about your work — we take a process off your plate entirely, edge cases and all, and stand behind the result.
Nothing invisible
Every action our AI takes is logged, reviewable, and reversible by a human. Trust isn’t a promise on a website; it’s an audit trail.
Built with you, not at you
Each automation starts with a conversation about how your business actually runs. Your rules become the system — not the other way around.
Thomas San Martin and Josh Harris
Founders
We founded Operiva to bring the automation leverage of enterprise engineering teams to the businesses that could never justify hiring one — starting with the unglamorous, expensive work hiding in everyone's inbox.
Have a process worth automating?
We'd genuinely like to hear about it — even if it sounds too messy to automate. Messy is our favorite.
Get in touch