Luzid.

There is a number that everyone in enterprise software knows and no one likes to say out loud: more than 75% of implementation projects run over budget, over time, or both. SAP rollouts, Salesforce migrations, the multi-year transformations that big companies stake their operations on - a comfortable majority of them go sideways. This is not a secret. It is closer to a law of nature. And laws of nature are exactly the kind of thing a startup likes to argue with.

Luzid is that startup. Founded in 2025 and based in San Francisco, it makes an AI agent called David. The name is a small joke with a large point: one modest copilot, taking on the Goliath of enterprise implementation. David does not try to replace the consultants in the room. It tries to remember everything they say.

That distinction matters, and Luzid leans on it. "David is not an automation tool," the company says. "It's a copilot for software implementations." The difference is not marketing. Automation tools are brittle - they do one scripted thing and break when reality shifts, which in an SAP project is roughly hourly. A copilot is supposed to adapt: to listen to a requirements workshop, notice that a decision made in week three contradicts an assumption from week one, and flag it before it becomes a change request with a price tag attached.

The mechanics are organized into three pillars, which is a tidy way of saying David shows up for the whole lifecycle. There is Workshop Intelligence, where the agent listens to implementation workshops, prompts consultants with best-practice questions, and captures every requirement and decision so nothing evaporates between the whiteboard and the go-live. There is Project Intelligence, which watches scope and change requests continuously and surfaces problems while they are still cheap. And there is Testing Intelligence, which auto-generates test scripts and keeps the evidence traceable - the part of the job that quietly eats weeks and that nobody volunteers for.

The results Luzid reports are the kind of numbers that make an implementation partner lean forward: up to a 90% reduction in the effort of designing business blueprints, roughly 70% off the time it takes to create test scripts, documentation effort cut by 60 to 90%, and testing cycles compressed by one to two weeks. Numen, an SAP Gold Partner, is the named reference customer, and it reports cutting the time spent on test-script generation and integrated testing by up to 70%. The company describes all of this as a 10x acceleration of key deliverables, which is the sort of claim that invites a raised eyebrow - though the underlying idea, that AI is unusually good at the documentation-and-testing grind, is not controversial.

The most interesting design choice is the one that is hardest to demo: memory. Every SAP go-live tends to start from zero. New team, fresh mistakes, lessons that walked out the door with the last set of consultants. David is built to retain context across projects - to absorb the knowledge generated at every step and compound it over time. The pitch is that the second rollout should be smarter than the first, and the tenth smarter still. If it works, the moat is not the model. It is the accumulated institutional memory that a rival would have to rebuild from scratch.