Adrian WaldronThe strategy of a CTO.
The output of an entire
AI team.
I’m a Fractional CTO. I make the technology decisions with the whole business in view, then build the systems myself — AI molded to your business, from $5,000/mo instead of the $20,000/mo team it replaces.
Book a callOperators who chose me
What you’re actually paying for
Every business above came to me with the same question — “what should we be doing with AI?” — and every one of them had a different right answer. Your industry, your market, your acquisition channels, your current challenges, your team’s size and ability — they change what you should build, what you should buy, and what you should skip entirely. That’s the seat I fill: the technology decisions, made with the whole business in view.
- What to build first — and what not to build at all. We’ll build one brick at a time, sequenced by what actually moves the business. I’ve told clients to wait on builds their platform couldn’t support yet — because “automate it anyway” creates the expensive kind of broken.
- Build vs. buy, argued with numbers. Sometimes the answer is a $20/month tool instead of a custom build. Sometimes it’s replacing a $350/month subscription with a system you own outright. The reasoning is the service.
- Sized to your team’s actual ability. A system your people can’t run is my failure, not theirs. I match the tech to the team — then train your people until they’re extending the systems without me.
- Secure for your industry, not in general. Conflict checks and privilege for a law practice. Access audits and password discipline for an agency. Clean IP separation so a future sale doesn’t get tangled. Security scaled to what you’d actually lose.
- Honest about what tech won’t fix. Some problems are people problems. I say so before you pay to automate them.
And when the decisions are right, here’s what the output looks like.
Book a callWhat scalable AI systems look like
Your business is not a rectangle. Off-the-shelf software makes you run your business the way it works — and you pay monthly for the privilege. AI systems are different: shaped and molded to fit every workflow, every edge case, every need exactly. Trained on your business, they become intellectual property you own. Built right, they work every time — whether or not I’m in the room.
- Pay for features you don’t use.
- Still missing the ones you actually need.
- Doesn’t know your workflow.
- Exactly what you need. Nothing more.
- Knows your data, your workflow, your team.
- You own it outright. No seat licenses.
Here’s what that’s looked like inside real businesses:
Operations platforms that replace the software you’ve outgrown.
For a solo law practice: custom practice management, client intake with built-in conflict checks, engagement letters generated and e-signed without anyone touching Word. No legal SaaS would have fit — so the system was form-fit to the practice. One attorney, the throughput of a staffed firm.
Agents that work while you sleep.
An email agent that reads the inbox every five minutes, routes tasks, drafts replies, and texts when something’s actually urgent. Trained like a hire — except it never forgets and it’s available at 3 a.m. The admin layer runs itself; the operator stays in the work only they can do.
Data your leadership actually opens.
Pipelines that pull attendance, transactions, and attribution into one dashboard. Built for a high-growth education business and an e-commerce brand. Decisions from real numbers, not exported CSVs.
Teams that build, not just use.
At a consumer brand, I shipped the ad-spend manager, the CRM, and the supply-chain dashboard — then taught the team to build the next ones. Six internal tools in two months, most of them not by me.
Built to hand off.
After three years inside one client, I left them an AI trained on every system decision I made — it answers “how does this work?” so they never have to call me. That’s the test of scalable: it runs without its builder.
What you’d hire instead
- Fractional CTO — strategy only
- $8,000 / mo
- AI engineer — building only
- $12,000 / mo
- Hired separately
- $20,000 / mo
- Me & my agents
- from $5,000 / mo
Market rates: the median fractional-CTO retainer plus one mid-level AI engineer’s salary — before benefits or ramp-up. You get both seats — me and my agents — from $5,000/mo.
$5,000 is the floor. If it’s the ceiling, this isn’t your partnership.
If you’re ready to deploy AI at full capability — not pilot it — the next move is a conversation.
Book a call30 minutes. No deck, no pitch — we both find out if it’s a fit.