Build vs. Buy: What It Really Takes to Get AI Intake Right
The three tiers of AI intake: and why the "deep end" is a completely different engineering problem
The 92% vs. 98% accuracy gap: why "almost right" is unbearable, and the architecture it takes to close it
Real rollout numbers: how one firm doubled signed cases (500 → 1,000/month) with less than half the intake headcount
Real rollout numbers: how one firm doubled signed cases (500 → 1,000/month) with less than half the intake headcount
The build vs. buy decision: why a firm with 65 intake specialists and an in-house engineering team chose to partner
How to evaluate vendors: the questions that matter, and the one red flag that should cross anyone off your list
J
Julian
CEO, Superpanel
T
Todd
CEO, Lawfty
E
Eamon
Fractional COO, fmr. COO of CPLG
K
Kirsten
Moderator, Superpanel
Watch the roundtable now
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2x
Signed cases per month after rollout, from 500 to nearly 1,000
80%
Of manual intake tasks handled by AI within months of launch
~4%
Average escalation rate across 300,000+ customer journeys
24/7
The accuracy bar AI must clear to match a human intake team
"If a vendor tells you their solution is simple, out of the box, and it's going to work instantaneously, that should cross them off your list."
Todd, CEO of Lawfty
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