AI as the challenger.

Fundamentals first, and that isn't a stall

Automation applied to a broken process gives you a broken process at speed. That's the whole reason the audit exists, and it's why this work starts at the data layer whether or not you wanted it to.

In actuality, the sequencing is the value. For instance: automating a handoff that shouldn't exist just makes the wrong handoff instant. Your reps stop noticing it, because now it's invisible instead of annoying. Six months later the leak is bigger and nobody can point at when it started.

What gets built

The stack is whatever fits, and it's built to be extended rather than rented. Everything ships with the API surface exposed, because the thing you want in month four is never the thing you specified in month one.

• Workflow automation across your existing systems.
• Data foundation work: the fields, objects, and hygiene that everything downstream depends on.
• AI-assisted selling and support, pointed at real bottlenecks rather than demo-friendly ones.
• Attribution and reporting that survives contact with a skeptical CFO.