//NORTHSTAR OPS DEMO · AI LEAD QUALIFICATION
It never
guesses a score.
An LLM asked to score leads scores everything 78 — confident, uncalibrated, unexplained. An LLM asked to research a company it doesn't know invents a plausible size and industry. Both write straight into the CRM, where the fabrication becomes indistinguishable from truth. Verdict is built to structurally prevent that, not just discourage it.
No signup. Seeded fictional data. Nothing is sent.
//THE FOUR OUTCOMES
One inbox. Four responsible outcomes.
//01
QualifiedSufficient evidence, meets the ICP — assigned, drafted, ready for a rep.
//02
Insufficient evidenceCan't be scored responsibly — returns the exact questions that would unblock it.
//03
DisqualifiedScored, doesn't meet the ICP — reason recorded, no rep time spent.
//04
Duplicate / merge reviewMatches an existing record — activity attached, never a silent duplicate.
//ILLUSTRATIVE CALCULATOR
Measure the tradeoff, not the hype.
Adjust the assumptions for your own operation. These are not measured customer results — this demonstrates the calculation, seeded with the fictional example from the product plan (800 leads/month, 12 minutes of manual work per lead, 65% auto-eligible).
LEADS ELIGIBLE FOR AUTOMATIC HANDLING
per month
STAFF HOURS POTENTIALLY RETURNED
per month
STILL ROUTED TO HUMAN REVIEW
per month, by design — not a shortfall
ESTIMATED NET MONTHLY SAVINGS
$3,640 handling-cost reduction − $8 automation cost
//THE DIFFERENCE
Why the obvious AI version makes this worse
Qualification is judgment work, done fastest when a rep is most rushed — the exact profile of a task humans do inconsistently. Point an LLM at it directly and you get a confident number with no reason a rep can check, a fabricated company fact indistinguishable from a real one once it's in the CRM, and a duplicate contact every time the same person emails twice. Verdict resolves identity before spending on research, gates scoring behind an evidence floor, and never lets a claim into an outreach draft that isn't independently verified against its source.
See all four outcomes