Most AI initiatives fail at the selection stage, not the build stage
The pattern is always the same: a promising pilot, chosen because someone suggested it, built because it was feasible — then months later, no measurable impact and a sceptical CFO. The technology rarely failed. The choice of where to point it did.
Discovery replaces guesswork with evidence. Before anything gets built, you know which processes carry real value, what they cost you today, and what automating them is worth.