AI Deployment as a Service

We deploy AI inside enterprise businesses.

Save six figures on the hire you don't make. We build the AI worker, your team approves it, and you own the AI layer when we're done.

Replacing senior hires with AI workers, one workflow at a time.

The problem

AI can do most of the workflow. You don't have a safe way to deploy it.

Somewhere in your business, a senior person spends half their week on rules-based, repetitive work AI was built for. Reconciliation. Reporting. Compliance. You're paying six figures because nobody else is trained to do it.

You've looked at the obvious paths. SaaS: too narrow. Consultancies: too slow. Senior hires: too expensive and too slow to ramp.

You don't need more SaaS. You don't need another hire. You need an AI worker built for your workflow, audited by your team, yours to own.

Powered by Finn.

My son Finn died in April 2023. He was 20.

The Finn Wardman World Explorer Fund exists because of him — sending young people into the world the way he lived in it. Fully.

Every subscription funds a standing 50% discount for youth empowerment nonprofits through the same service. Three slots, always open. See the youth program →

finnwardman.com

The Finn Wardman World Explorer Fund

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one dream at a time.

Grants of $5,000–$10,000 for young people whose dreams are bigger than their budget.

Apply Now → About the fund →
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Powered by Finn — finnwardman.com

Who I am

How To Make Software — The Non Technical Guide for Business People by Geordie Wardman

5 companies. 4 exits. Hustling since 2006. Now we replace six-figure hires with AI workers.

I wrote How To Build Software after nearly 20 years of building ecommerce, SaaS, and services companies. At every scale, the lesson was the same: the bottleneck isn't a strategy problem. It's a workflow problem. And the workflows AI can do are exactly the ones senior people are too expensive to keep doing.

I've spent the last two years going deep on AI deployment inside operations. The work that needs a six-figure hire and a year of ramp now needs an AI worker, a human-approves audit chain, and 20 years of pattern recognition about what's safe to automate.

That means we can deploy AI workers for the rules-based, repetitive work your senior team is paid too much to be doing. Reconciliation. Reporting. Compliance. Onboarding documentation. Customer support escalations. Audit prep. Each one integrated with your existing tools, audited by your team, owned by you when we're done.

Your team could try this in-house. Most who try get six months in with half-finished prototypes nobody trusts in production. I bring 20 years of pattern recognition about which workflows to automate first, and how to run the audit chain so your team trusts the AI before it ships.

If what you need is senior AI leadership rather than a single workflow built, here's what a fractional Chief AI Officer does, when to hire one, and what it costs.

Build in public

All 104 posts →

Day 103 / 365

The Mac Mini Setup For SOC 2 Compliance

One machine is allowed to post to a client's live ledger, and it sits in Switzerland while I am seven thousand kilometres away. Here is how I made it reachable and self-sufficient with Tailscale, a UPS and a remote keyboard, and the honest answer on whether it stays SOC 2 compliant.

Jul 07, 2026

Day 102 / 365

Making the Month-End Close Harder to Break

The first month I automated a client's bank reconciliation, the scripts worked and still scared me. Over the last few weeks we rebuilt them into something harder to break, and deliberately left one step for a human. Here is what changed and why.

Jul 06, 2026

Day 101 / 365

What to Make of a Life

I packed Jim Collins' What to Make of a Life for the trip. His idea of encodings, and the bug book practice for finding yours, sent me back through my own logged days. The plus-two days are not the ones I invoice. Here is the honest version, written on the road.

Jul 05, 2026

Day 100 / 365

Building in Public Is Hard. This Is Day 100.

One hundred days of writing one of these every single day, and this morning I had nothing. The hard part of building in public is not the writing. It is finding something worth saying every day, into a room that was empty for months. Here is the honest version, written from the passenger seat on the drive out, days before it posts.

Jul 04, 2026

Day 99 / 365

Three Hundred and Nineteen Lines to Twenty-Six: Automating a COO's Trello Report

An enterprise client's COO had been building his board report by hand every quarter because the Trello add-ons couldn't reconcile a card's list against its own status label. The first version I built read the boards straight and handed back three hundred and nineteen lines. Here's how it became twenty-six, and what we're building next.

Jul 03, 2026

Day 98 / 365

Why AI Writing All Sounds the Same

I saw a chart this week that explains why AI writing reads as slop. Human writing ranges from ordinary all the way up to rare. Every model bunches in a fat band around the middle, average by construction. Here is why that makes me use AI more, not less, and why real is the thing people will pay for.

Jul 02, 2026

Day 97 / 365

How to Automate the Back Office With AI: One Tidy Vault, One Self-Sorting Inbox

A small team asked me for two boring things this week: somewhere sensible to keep their files, and something to sort their shared inbox. That is automating the back office with ai, the unglamorous version that pays for itself. Here is what the work actually is, and how I run it as a service.

Jul 01, 2026

Day 96 / 365

Marketing to AI Agents Still Runs on Human Outreach

I built a charity directory to be cited by AI assistants instead of marketed to people. Three months in, the citation number is still zero, and the reason is not the data. It is authority, and authority is humans linking to you. Here is the bet I made, why the machines sent me back to the work I was trying to skip, and the daily change I am making because of it.

Jun 30, 2026

How it works

Three steps from workflow to AI worker you own.

01

Find the workflow

We start with the workflow eating one of your senior team's weeks. Reconciliation, reporting, compliance, onboarding documentation. Anywhere AI can do most of the work. The live build behind this page is an AI financial controller for an enterprise client.

02

Build the AI worker

We deploy the AI inside your business, integrated with the tools your team already uses. Your team approves the output until it's trusted.

03

You own it

The AI worker stays with you when we're done. We can hire specialists underneath as the engagement grows, or hand the whole thing over and walk away.

Monthly

Pause or cancel anytime
$4,995/month

What you get

One request at a time Unlimited requests Avg. 2–5 day delivery Pause or cancel anytime No contracts Monthly strategy call Standalone deliverables — no codebase access needed Finished assets, not drafts to babysit

Enterprise

Fractional AI Ops
Custom

What you get

Month-one ops audit C-suite interviews Custom AI layer built for your systems Automated reports and accuracy checks Monthly tuning and optimization You keep your tools and your people We own the AI layer Dedicated strategy calls

Pause anytime

Temporarily pause your subscription anytime, no sweat.

75% back guarantee

You pay $4,995 upfront. Not happy after the first week? You get $3,746 back. Your risk is $1,249 for a week of finished work.

What people say

Geordie approaches business with rare integrity and an uncommon generous spirit, not to mention decades of 'been there done that' experience. If he can't help you, he'll tell you. If he can, your life just got a lot better.

Jeff W

Exceptionally good at turning strategy into clear actions and measurable results.

Glenn Y

Transformed it into a streamlined time-saving system that cut my workload in half.

Mitch B

Kicking butt with Claude and AI tools to smash down your todo list.

Alex K

Thoughtful, understanding, direct. Keeps all of the pieces moving in the right direction — from technology, sales, marketing, finance.

Patrick

His ability to juggle multiple projects was particularly impressive. Intelligence, honesty, and high professionalism are the qualities I value most in Geordie.

Dima

His instincts combined with an eagle-eye view of the business allow him to spot opportunities early, align teams quickly, and turn vision into measurable growth.

Mark H

At times it was crazy. Orders coming in, line of credit stress, inventory all over the place. But it always worked out. Can't say enough good things about Geordie's character and commitment.

Drew

Calm and collected. Super easy to talk to and work through things.

Victoria

He reminds us that we're more than just roles. We're people.

Niko

He is so dedicated that I become uncomfortable with giving less than 100%.

Galya

He's confident in our skills — and that confidence is contagious.

Jeremy R

Gives you autonomy, but not ambiguity. Teams know he won't micromanage, yet he will step in firmly when accountability or client impact is at risk.

Ana

In high-pressure moments, Geordie stays calm, focused, and very engaged. His ability to combine vision with execution. A leader who sets a high bar and genuinely cares about both the product and the people.

Jesse H

FAQ

Finish the task at hand, or nothing gets done.

A beloved mentor once gave me this advice. It's been the best advice of my professional life.

What's the difference between Monthly and Enterprise?

Monthly is for teams who want AI ops work delivered fast, one request at a time, $4,995/month, pause anytime. Send the task, get the finished asset back in 2-5 days. Enterprise is when you want an AI worker deployed inside your business, integrated with your tools, audited by your team. Custom scope, ongoing engagement, you own the AI when we're done. Most Enterprise engagements start with one workflow.

Who is doing the work?

I do the deployment work. Jan, my CTO, handles the engineering build-out. Specialists join the engagement as it grows. Same people every time. Not a rotating bench of anonymous freelancers.

How do you handle our data security?

Everything happens inside your business systems. We integrate with the tools your team already uses (your ledger, your CRM, your storage). We don't extract your data to a separate platform. Models we use are configured to not retain or train on your inputs. We sign NDAs and DPAs upfront.

What systems do you integrate with?

Whatever your team already uses. ERP systems, CRMs, ledgers, communication tools, document storage. If it has an API or a database, we integrate. If it doesn't, we build a connector.

What happens if the AI gets something wrong?

Your team approves the output. The AI doesn't ship to a customer, write to a ledger, or move a dollar without human sign-off until the audit chain proves it. That's the whole point of the deployment model. We run the AI under human review until you trust it. Most engagements run 6-8 weeks of supervised approval before the AI is trusted to act on its own.

How long until the AI is running in our business?

First AI worker deployed and running under audit in 4-6 weeks. Trusted to act on its own in 8-12 weeks. Faster than a senior hire's onboarding ramp, slower than buying SaaS. The audit chain takes the time it takes. We don't accelerate it because trust earns itself.

Who owns the AI when the engagement ends?

You do. The deployed AI worker, the prompts, the integrations, the audit logs. All yours. We don't lock you into our infrastructure. If you want to bring it in-house, we hand over documentation and walk you through it.

How is this different from a consultancy or hiring in-house?

Consultancies sell you a six-month integration project and disappear when it's live. Your in-house team can try the same thing but most get six months in with half-finished prototypes nobody trusts in production. We bring 20 years of pattern recognition about which workflows are actually safe to automate, plus the audit chain that gets the AI trusted before it ships. You stay in the driver's seat the whole way.

How is Enterprise priced?

Custom. We scope upfront so you know exactly what you're committing to before we start. Most engagements start with one AI worker on one workflow, with specialists joining as scope expands. Pricing depends on which workflow, which integrations, and how much of your team is involved in the audit chain.

How can we test this before committing?

A scoped pilot. We pick one workflow, define what done looks like, and deploy the AI worker on a fixed-fee basis for 30 days. If the pilot doesn't deliver, the engagement ends there. If it does, we move into the full Enterprise engagement.

What about the youth program?

Every Enterprise engagement and every Monthly subscription funds a permanent 50% discount for youth empowerment nonprofits using the same service. Three slots always open. It's built into the model. Learn more →

What is the Finn Wardman World Explorer Fund?

My son Finn died in April 2023. He was 20. The Finn Wardman World Explorer Fund sends young people into the world the way he lived in it. Fully. Grants of $5,000-$10,000 for young people whose dreams are bigger than their budget. That's what this business exists to fund. finnwardman.com →

How is the Fund tied to this service?

One life. One mission. When you subscribe or sign an Enterprise engagement, you're not just getting AI deployed inside your business. You're funding the youth program directly. Full-rate clients fund a permanent 50% discount for youth nonprofits doing the work Finn would have cared about. We don't run two businesses. We run one, and it's powered by Finn.

See if this is the right fit.

15 minutes. No pitch deck. No pressure. Just a conversation about what's eating your time.

Schedule a call
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TestVentures
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Hey — I'm an AI assistant for TestVentures. Ask me anything about pricing, services, or how it works. For a real conversation with Geordie, book a call.