Bo[a]B is an AI operations layer that runs on a small computer in your office. It reads your real numbers, your real history, your real mess — and answers like an analyst who has been with you for years. It also runs the process the other tools skip — the intake, the follow-up, the hours that get worked but never billed.
Where this is real today →For two years the honest answer about AI was “mostly demo-ware.” That answer expired. The systems being shipped right now can genuinely do multi-step work across a business — read the documents, follow the thread, take the action.
Which moves the question. It is no longer does this work. It is what is it learning, where is that kept, and who else can see it.
Because a system that runs your operation for a year does not just accumulate your invoices. It accumulates your judgment — which customers are difficult, what actually sells, what broke last time and why. That is the most valuable thing your business owns, and most of it has never been written down anywhere.
You don't need an enterprise AI strategy with governance committees. You need one tool, that one person operates, that quietly pays back inside the first quarter — and keeps earning for years, on a box you own. That's what Bo[a]B is being built to be — one box on a bench today, and honest about it.
Wrong prices quoted. Invented policies. Damaged brand. Confidence without accuracy is worse than no AI at all.
The "AI assistant" that ends up costing more in oversight than the human it was supposed to replace.
The work gets done. The record of how your business actually runs accumulates somewhere you don't control, on terms that can change with a pricing email.
Most of what I know about small-business operations, I learned fixing systems that had quietly stopped working. I still take that work directly, under pi.0 — no second brand, no handoff. The same person who writes this page does the engagement.
You've spent the last two years buying AI tools and building internal ones. A good share of that is now scaffolding around a problem the models have since solved — and it's rarely the part people expect. I go through what you've built and sort it: what to keep, what to stop paying for, and what to rebuild differently.
Not a strategy deck. One or two places in your business where this genuinely earns its keep, built and running — with a clear read on where it doesn't work yet, and why.
A standing seat for the owner or the small leadership team. You bring the decisions as they come up; I've usually already run the same question against my own stack. Monthly, cancel anytime.
Same approach as everything else here: diagnose the real constraint, design the system, ship it, hold the line on outcomes. Where the constraint turns out to be positioning or demand rather than systems, I've done that work too. For law firms the engagement is already scoped — what this looks like for a firm with the obligation but not the department.
I'm Patrick Inverso. pi.0 is a studio of one — I do the work, I don't subcontract it. Before this, I ran operations inside companies that had real ops teams: full P&L ownership at Sonicbids (six-month turnaround, a decade profitable, exit arranged), and revenue work at Google, The New York Times, and MoMA before that.
The pattern across all of it: diagnose the real constraint, design the system, ship it, hold the line on outcomes. Bo[a]B is that pattern, sized for the businesses my old employers wouldn't notice.
pi.0 is the studio. Bo[a]B is what it ships.
I'm always open to a conversation — whether you have a defined problem or just a hunch that something isn't working.
No pitch decks required.