The Four Moats in Practice: Where We Help Clients Build Lasting Advantage with AI
Your competitors can buy the same AI as you. We help you invest in the things they cannot copy next quarter.
About this page. Aitina Tech’s R&D wing applies the research of Imtiaz Hassan, published as The Software Lens, in client work and in our own product. This page is the applied view: what the pattern is, how we build it, and what an engagement looks like. The full research is on The Software Lens.
Models are a commodity. What a rival cannot buy is your track record: a measured, signed history of a service doing its job, evidence that has held up in regulated audits, standing where agents look for services, and the hardening that comes from serving many industries. These are trust moats, not lock-in, and they reward openness.
From the research
“These are trust moats, not lock-in: they reward openness, and they cannot be bought, only built.”
What we take from it. Defensibility is built in from the first call. We make sure the receipts, the evidence and the manifest exist on day one, because they cannot be retrofitted later.
How we apply it
Each moat is an architecture decision made early. A track record needs receipts from the first call, not retrofitted logs. Audit-ready evidence needs guardrails and policy decisions recorded at the edge. Registry standing needs a manifest that is complete and honest. Cross-industry reach needs a kernel that can be hardened without breaking its surface. We design capabilities with the four in mind, which is what our software architecture practice is for.
For founders and investors the same list is a due-diligence checklist: does this product have, or is it built to earn, any moat that survives the next model release? That question is at the centre of our product and investment evaluation work and of advisory engagements with leadership teams deciding where their AI budget goes.
The idea underneath: the Agentic Economy
The four moats come from a larger idea in Imtiaz Hassan’s research, the Agentic Economy: software applications hire AI agents to do a job and pay for the result, the way a company hires a contractor through a staffing agency. Pricing moves from seats to outcomes, buying starts to look like staffing, and trust moves from a vendor’s promise to a signed record of every decision. For a company that builds or runs software, a system it uses for itself today could be hired by other companies’ agents tomorrow, so the IT cost line can become a revenue line.
We apply it in three steps: find the systems that do a piece of work someone outside would pay for, one task at a time; make each one safe to hire, with a readable description, firm rules, metering and a receipt for every call; and earn its track record inside your own company before anyone outside is invited to hire it. The EU AI Act work is the regulatory side of the same discipline.
What an engagement looks like
Usually a half-day workshop with the leadership team: which of your services could earn a track record, evidence and reach a competitor cannot copy, what to build first, and what to stop spending on. A written assessment follows.
The research behind it
This page is Aitina Tech’s applied account of The Four Moats: Defensibility in an Agentic Economy, by Imtiaz Hassan, published on The Software Lens. The full argument, the diagrams and the worked examples are there; this page is what we do with it for clients.