An independent review of what has actually been built. Two days or one week, fixed fee, written by someone who has run a software business through two acquisitions and still writes code.
Software gets built faster than it used to. A working product proves that it runs, not that it will hold. And at some point the technology decisions matter more than the technology team can carry alone: a raise coming, an acquirer asking questions, a platform that needs rebuilding, an AI roadmap nobody can test.
The people offering a view are usually selling something, or have never shipped any of it themselves.
Inverisla exists to close that gap. Nothing is sold on the back of the review, so the findings are about the software rather than about what you should buy next.
Founders who need an honest read before a raise, a hire or a rebuild. Boards and investors who want an independent view of a platform before they commit, or after a founder has told them everything is fine. Leadership teams who have been given an AI roadmap by a vendor and have no way to tell how much of it is real.
Mostly hospitality technology, because that is where thirty years of pattern recognition is deepest. The pattern travels.
It usually starts with one of these.
If one of those sounds familiar, the review is the place to start.
Two sizes, one piece of work.
A short, independent look at the areas carrying the most risk. It ends with a findings memo: what stands out, what needs attention first, and a clear view on whether a fuller review is justified.
It stands on its own. A board can act on the memo without commissioning anything further.
A hands-on review of what has actually been built, assessed against where the business is trying to get to. Most reviews run a week. Where there is more than one codebase or product, or the ownership questions need real digging, it is two, and you will know that from the scoping call along with the fee.
A written report and a prioritised list that separates what needs fixing before you go further from what can wait. Where it helps, that includes how to describe the outstanding items to an investor or an acquirer, because the answer is almost never that there is nothing outstanding.
The output is what to do next, not what to buy next.
Most reviews end with a recommendation and a handover. Some end with a request to stay on. When that happens it takes one of three shapes, each scoped and priced separately.
Fractional leadership. Senior technical and commercial leadership without the hire, for the months it takes to act on the findings. Platform decisions, vendor strategy, an AI roadmap, or preparation for a raise or a sale. Scope set up front, reviewed on a fixed cadence, sized to what the business needs rather than a retainer that bills whether or not it earns.
Advisory and board. Monthly bandwidth and pattern recognition for founders. Governance and a second opinion on the technology for boards and investors.
Implementation. Technical work that turns a decision into something running in the business. Integration architecture, automation of real operating tasks, agent workflows, proofs of concept that move ideas out of slideware. The technical work is mine, not subcontracted.
If you already know which of these you need, skip the review and book the call.
Inverisla is led by Colin Winning. Thirty years in software and technology, the last fifteen in hospitality, including thirteen years at ResDiary as CTO and then CEO, where the business doubled in size and went through acquisitions by Reef in 2022 and Access Group in 2023.
At Access Group, Colin held commercial accountability for the combined reservations portfolio, and most recently led platform integration work: moving Access Hospitality's products onto the Group platform, unifying third-party integrations into a common framework, and building a developer portal and app marketplace for third-party developers.
The technical side is current rather than retrospective. He still writes, builds and deploys code with the current generation of AI tooling, and still ships things that run rather than demo. That is what makes the review useful. Judging whether someone else's architecture holds up is difficult if you stopped building a decade ago.
A weekly series on LinkedIn. It follows AI, consolidation and pricing through one industry in detail, because that is where the pattern is easiest to see. Very little of it is specific to that industry.
Google added agentic food ordering to Maps with Square and Toast. A Brooklyn pizzeria now shows six ways to order on one screen, two costing card processing and the rest costing commission. Preferred by this business is a label, not a rule, and nothing on that screen tells the guest which route costs the restaurant what.
A social network for AI agents shipped without its founder writing a line of code. Researchers found the database key in the site's own JavaScript with row level security switched off, giving read and write access to production. The write access is the more interesting half, because nobody can now say which posts on that platform were real.
SevenRooms opened hundreds of millions of DoorDash and Deliveroo customer records to partner restaurants, so a venue can recognise a first-time guest at check-in. In May the argument was that the operator gets the booking and the platform gets the guest. This inverts it, and the thing you gain access to is only yours while you stay on that stack.
Most reviews begin with a 30-minute call to talk through where you are, what is prompting the question, and whether this is the right fit. No agenda required.
Book a callOr use the form. Replies within two working days.