From buried signals to next best action
A governed next-best-action engine for a complex sales organization
A growth-stage company needed its revenue team to act on the signals already buried in its data, without shipping an ungoverned black box.
Challenge
Account data was fragmented across systems, and reps spent hours on manual research while high-intent signals went unseen.
Approach
We mapped the decision the team actually makes, defined the signals that matter, and designed an assistant with human-in-the-loop review and clear governance.
Solution
A retrieval-grounded assistant surfaces a recommended next action per account, with sources, confidence, and an approval step before anything leaves the system.
Adoption
Rolled out to pilot teams with training, prompt guides, and a feedback loop; usage and accuracy are monitored against a defined baseline.
Verified outcomes
Related work
Bring us your hardest problem.
A focused conversation about your context — and an honest read on the most useful first move: a workshop, a Deep Dive, or a straight answer that AI isn't it.