Why Discovery comes before implementation
Skipping Discovery is how SMBs end up with shelfware. A few hours up front saves months of regret.
The most expensive AI projects we see aren't the ones that failed — they're the ones that shipped, technically worked, and nobody used.
That happens when implementation starts before anyone stress-tested the assumption. Discovery is the cheap, fast step that catches it. A few hours of structured conversation with the people who actually do the work usually surfaces the real bottleneck, which is rarely what leadership thought it was.
We treat Discovery as a deliverable, not a sales call. You get a written summary, a recommendation, and a clear next step — whether that's 'move forward,' 'wait six months,' or 'this isn't an AI problem.'