Yes, when the judgement around it is senior. AI does the heavy lifting on the construction, the part that used to take a team months, but what makes software trustworthy has never been the typing. It is the architecture, the handling of real-world edge cases, and the testing, and at Bamco those stay firmly under the senior team's control. Software is trustworthy because senior people are accountable for how it is built and how it behaves, not because of the tool that wrote the code.
Information current as at 4 July 2026
It helps to be precise about what AI does and does not do here. It does the heavy lifting on the construction: writing code, wiring screens, working through the paths that a team used to build by hand over months. That is a real and valuable acceleration, and it is confined to the building. It does not decide what your system should be, how it should be architected, which real-world cases it must survive, or whether it behaves correctly under pressure. Those remain human decisions. Trust in software has never rested on who or what typed the code; it rests on the judgement that shaped it.
The parts that determine whether software can be trusted stay firmly with the senior team. Architecture: designing the system so it holds up rather than merely runs in a demo. Edge cases: the awkward, real-world situations that break a naive version, which a senior builder anticipates because they have seen them before. Testing: checking the system does what it should, including when things go wrong. None of that is handed to a tool. AI accelerates the construction, and senior people are accountable for the result, which is the same accountability any well-built software has always depended on.
Bring us the idea you already have, or book an audit and we map where the money is leaking. Either way, you deal directly with the senior team that designs and builds it.
The right question is not which tool wrote the code, it is who is responsible for whether the software works. At Bamco that is unambiguous: the same senior team scopes the system, builds it and supports it, and is accountable end to end. Founded in 2016, the approach productised a decade of building real systems, so the judgement applied to your build is senior and experienced. You also own the system, the code and the roadmap, so you can have it reviewed or extended by anyone you like. Software earns trust through accountable senior judgement and real testing, and AI doing the construction does not change that standard.
Whether you can name exactly what you want built, or you just know something is leaking, the next step is the same conversation.