The instrument is built
Not a pilot you scope from a blank page. A proven platform with a defined specification, deployed against your business — so you start from working software, not a science project.
AI enablement is a condition, not a tool. The instrument is already built and proven: a working team that deploys against your business in one motion — Marketing, Sales, Service, Operations, Finance — under gates you set. And when a number moves without an explanation, we bring back the reason, traced across your business and the market around it. You hold the wheel the entire time.
The first deliverable is labor. A working team of AI runs your routine motion — replies in your voice, proposals at current prices, a close that runs nightly — inside gates you set. Most firms stop there.
The second is understanding. Numbers move for reasons that rarely sit in the report that flagged them: a competitor's launch, a price the market re-set, a promise one department made that another was never staffed to keep. We read your numbers and the world around them as one picture, and bring back the reason — plain language, evidence attached.
This is the working team's chassis — and the record the answers are read from. A control layer you own sits at the centre; the functions switch on around it, each running on the same footing, each rolling up to your cockpit. Move through the map to move through the platform.
One platform. A control layer you own at the centre — built once, always beneath. The functions switch on around it. Hover, tap, or focus a node to enter the module.
Most "AI for your business" is a pile of tools you have to assemble, govern, and trust on faith. This is the opposite: one instrument, already built, deployed against your business — with the controls in your hands from the first week.
Not a pilot you scope from a blank page. A proven platform with a defined specification, deployed against your business — so you start from working software, not a science project.
The control layer installs once, beneath everything. Start where the business bleeds most; every function you add joins the thread already running — lead to deal to customer to job to cash.
Day one, every customer-visible action waits for your okay. Approval moves upstream as trust is earned — never by the passage of time. And some gates never lift, by design.
Built by an M&A and CFO advisory firm — $1B+ advised since 2009 — using the same engineering-grade tooling that already runs the firm's own diligence engine, CortexDD.
The same business, the same people, the same customers — but the business notices what is happening, responds in minutes instead of days, and runs its routine work itself. Two of the six functions, walked twice:
An inquiry arrives at 9:40 PM and waits two days for a reply — after the prospect has already called two competitors. The week's content didn't ship. Proposals take three days, rebuilt by hand. Your best closer — usually you — is the bottleneck every deal squeezes through.
The 9:41 PM reply went out in your voice. Wednesday's approval inbox holds the week's content, drafted from your own material. Hot leads reached a rep's phone overnight with a brief. The proposal requested at 10 went out by 2 — approved language, current prices, after your sign-off.
The close is archaeology — by the time you learn what March meant, April is half spent. Spend is invisible until the card statement lands. The margin had been sliding for a quarter; the data knew, nobody was looking.
Matching and tie-outs ran overnight, as they do every night. Cash position is current at a glance. The duplicate invoice flagged itself this morning, reason stated. The forecast recalculated from how receivables actually behave.
The AI practice enables the business you run. The transactions practice carries the moments a business can't run past — a sale, a raise, a succession, a board that needs a referee. Both are principal-led, and both run on instruments we build ourselves.
A working team of AI that does the routine work under gates you set — and the answers: the reason a number moved, traced across your business and the market, evidence attached.
Principal-led M&A, capital formation, operating & governance, and fractional CFO leadership — $1B+ advised since 2009, with the diligence engine on every deal that needs one.
Engagement begins with discovery: your response times, your close cycle, your cost to serve, your days-to-close — captured as the baseline. Targets are set against your numbers, never promised in advance of measuring them. That is policy — and it is how the platform itself works: evidence first, then the claim.