Data Readiness Panel
Can an agent do useful work against your data today? If not, the three highest-leverage cleanup projects to get there in 90–180 days.
We run the 8-test diagnostic that tells executive teams exactly where they stand on AI — and what to build next.
Names changed. The pattern doesn't.
So what AI process are you running?
What are you talking about?
How are your teams set up — do you have a real AI process? A repeatable system that spans the company, reinforces your SOPs, plugs into your customer software, and gives the whole team deep AI leverage. The kind of thing that 10x's how they work.
You're doing this, right?
Sort of. We've got ChatGPT. The team's chatting with it.
That's not a process. An AI process takes your existing knowledge — your best people's judgment — and turns it into a repeatable system the whole company works from, then builds on it from there. So your operators' reflexes scale instead of bottleneck.
It might take three years to reach its apex. Start now and you're already partway up. Wait, and it's a BlackBerry moment.
Huh. Maybe we should talk.
We can. We only work with a handful of companies at a time — but we can run a high-level audit and get you started.
The 8 tests you need an outsider to run.
An 8-test diagnostic for operating businesses in services, software, media, distribution, and regulated retail. Two to four weeks, from onboarding to final report. A written report, overseen by both partners. Built to be read by a board in 60 minutes.
Can an agent do useful work against your data today? If not, the three highest-leverage cleanup projects to get there in 90–180 days.
The seven control questions every agent deployment must answer before anything goes to production.
Which human roles are most exposed to displacement — and who is the named owner for every agent the company runs.
How exposed your revenue book is to AI disrupting your customers' industries — and which accounts to de-risk now.
What your revenue looks like in 24 months when customers' willingness-to-pay compresses 40–70% — and which product lines survive, at what price.
Where you'd trade on the AI-readiness premium-to-discount spectrum in a 24–36 month transaction — and the three moves to migrate up before exit.
Function by function, counterparty by counterparty: where AI cuts cost or expands throughput in the next 12 months — and which vendor checks are no longer worth writing.
The next 12 months of hiring through the AI lens — what to hire, what to pause, and the new role nobody else is creating yet.
One document: the Outsider Labs AI Audit Report. The findings from all eight tests, and a concrete, sequenced set of steps to take your company from where it is today to AI-enabled.
We are diagnosticians, not an implementation team. We write the prescription — what to do, in what order, and why. When the work calls for hands on keyboards, we point you to specialists we trust: the forward-deployed engineers everyone's hearing about. We've done that build work ourselves, and can — but it isn't what you should expect from us.
But we don't disappear at handoff. Once implementation is underway and the systems go operational, we stay connected — a standing strategic advisor on the transformation. We build the product-management advisory roles that keep the work pointed the right way: sequencing what comes next, and course-correcting as the technology and your business keep moving.
The clarity is the product.

Thirty years across equity research, hedge funds, and venture capital. Nine years at First Boston (now Credit Suisse) covering media and technology. General Partner at Raptor Ventures. Board member at Pandora from its earliest days through 2011. Co-founder and CEO of Proper. Princeton, BA Economics. NYU, MBA Finance.
Harry leads the financial and transaction lens — customer disruption, pricing power, and sellability.

Entrepreneur and executive with deep roots in digital media, SaaS, and operational technology. Built and scaled venture-backed companies: Buzzmedia, Greenplum, Wevr, and Katalys. CTO-for-hire across multiple businesses. Founded and led teams at BuzzMedia, Metapa (Greenplum), Wevr, and Proper. Knows what a functioning data and AI stack looks like from the inside.
Anthony leads the technical and operational lens — data readiness, agent architecture, and business automation processes.
We build on the frontier systems — Anthropic's Claude and Google's Gemini. We work with a handful of companies at a time. You can see how we think every day at CO/AI.
You get the report and the plan — and you're never sold a project you didn't ask for. The audit is the front door. Three sentences about your business is enough to start.