Fractional CTO: AI That Survives Past the Pilot

The pattern

Nothing's wrong with what your team built. It just never travels.

It lives on one laptop

One or two people are genuinely good with AI and quietly building useful things. The output stays on the machine that made it, and emailing files around isn't a distribution strategy.

Decisions don't survive the meeting

Things get decided, then don't get communicated, then get re-decided next month. The agendas live in one-off docs nobody opens twice.

The gap widens, it doesn't close

Every new tool makes your strongest people faster and your least confident people more overwhelmed. Adding seats doesn't fix that.

Nobody measured the before

No baseline means no way to tell whether any of it worked. So the pilot quietly stops and nobody can say what it cost or saved.

How it works

One arc, five phases, six months.

Refined last June through a five-expert review panel — process and operations, AI architecture, offer strategy, change management, and one reviewer whose only job was to argue against it.

Phase 0Frame & First Win. We agree the scope fence and the outcome we're measuring, and you name the task you most dread. Then I ship one working thing in our opening session — so relief arrives before homework does.
AuditHow the business actually runs, in your words rather than mine. A full tool audit. And a defensible time baseline drawn from real past instances with confidence ranges — measured, not estimated, because everything later gets judged against it.
MapEvery process triaged — automate, augment, or leave to humans — then ranked on two independent axes: time reclaimed, and what it costs you when it fails. Fragile workflows get flagged and put behind a human gate instead of automated.
BuildRequirements first, including a mandatory failure-modes section. Validate before writing code. Retries, idempotency, and human approval gates where they matter — plus a one-page break-glass runbook for everything delivered.
ReinforceThe phase almost nobody sells, and the one that decides whether the money was wasted. Usage checks at day 10 and day 30, measured in counts rather than feelings. A supervised first solo run. And realized savings against that opening baseline, reported honestly.

Why me

I've had to keep one of these alive

I'm Ahad Amdani. Twenty years in enterprise technology. Lockheed Martin, L-3, Microsoft, Avanade, Accenture, Capgemini, Sogeti, Pier 1, Alcon, OneMain Financial, Mr. Cooper — plus startups and small teams, and two six-figure agencies I built from nothing. The range is the point: I've watched the same problem get solved with a defense contractor's budget and with a five-person team's, and I know which of those answers actually transfers.
I run an autonomous agent fleet in production, every day. Content, research capture, scheduled reporting, and cross-agent dispatch — executed unattended with a human gate before anything publishes, on a knowledge base of 700+ documents indexed for semantic search. Most people selling AI strategy have never had to keep one running at 3 a.m.
Vendor independence, tested involuntarily. When my primary AI provider hit a usage limit mid-weekend, the fallback noticed the missed work and picked it up in about seven minutes — with publishing rights deliberately withheld from the backup tier. Any business betting everything on one vendor is one pricing change from a stalled operation.
A 20-year engineer's judgment on where AI breaks. Money, authentication, your customers' data. Part of what I deliver is the list of things that should not run unattended.
I've paid for the lesson I'm selling. I built six products in sixty days and learned that speed alone doesn't give you time back — it just raises what you take on. Most AI consulting sells throughput. Throughput is the easy half, and it will quietly make your team busier.

[ PHOTO SLOT — Tim's note: real photos, not just the mark. A working shot beats a headshot. ]

Three people's daily job. Now one person, with three hours to spare.

A commercial print business ran orders from their website and Amazon through three people every day: pulling order lists, cleaning them for their commercial printer, reconciling what printed back into tracking. Two verification gates, dozens of formatting rules living in three heads, no SOP anywhere. They'd already bought off-the-shelf tools and a couple of "bespoke" systems that changed nothing.

The mapping came first, and it took an afternoon. The build came after — and that's what took the work off two people's plates entirely and gave the third back three-plus hours a day.

Who this is for

This fits if

You have a team, and AI capability is concentrated in one or two of them
You've already spent money on AI and can't point at what it returned
You need senior technical judgment but not another full-time executive
You'd rather own the systems than rent them

Who it isn't

This isn't for you if

You want someone to build one thing and leave
You're looking for the cheapest hands available
Nobody internally has time to adopt anything new
You want the pilot, not the part where it sticks

Investment

Priced so the arithmetic isn't close.

Two spots open

$50,000 / six months

Or $9,300/month, month to month, if you'd rather not commit six months up front. The six-month commitment works out roughly 10% cheaper — but it's your call, and there's no lock-in either way.

Why six months and not a project. The audit and the build are the easy halves. Whether your team is still using any of it in month five is what decides whether this was worth the money — and that isn't something you can buy in a sprint.

What I hold myself to. I'm not interested in an engagement where you're doing the arithmetic at the end and it's close. We capture a real baseline in the first two weeks and I report against it honestly, including where it fell short. The engagement should return multiples of what it cost, and you should be able to see the number rather than take my word for it.

Two spots is a real constraint, not a scarcity tactic. Beyond two, the depth I'm describing isn't something I could honestly deliver.

Terms

Plainly

If the first month clearly isn't earning its cost, you don't pay for it. No questions, no hard feelings.
Six months is the shape of the work, not a cage. If it isn't working, end it. I'd rather you leave than stay resentful.
You end up with systems you control — documented, each with a one-page break-glass runbook. Not a black box that dies when I leave.
Direct access throughout, and your developers or contractors get it too, not just you — so technical questions don't stall waiting on a scheduled call.
You'd be early. I don't have public testimonials for this engagement yet. I'd rather say so than imply otherwise, and I'll make it worth being first.

Everyone runs an AI pilot. Almost nobody is still running it six months later.