SSDI qualification is probabilistic.
Your intake should be too.
Every other intake — human or AI — hands you a binary qualified/not-qualified. Claim Pros places the first outbound call inside 90 seconds of lead arrival, runs an adaptive intake while the lead is still warm, and hands you a calibrated the moment the call ends — recalibrated continuously against your firm’s outcomes.
Alex
AI qualification specialist
Hit play. This is what an inbound SSDI lead actually hears within sixty seconds of submitting a web form — the same voice every claimant gets, every hour of every day.
0:00Loading sample…
Static scripts. Bored screeners. Bad triage.
Every other intake solution — human or AI — runs a static script and gives you a binary: qualified or not. That’s a lie, because SSDI qualification is probabilistic. A screener’s “yes” tells you nothing about how qualified a claimant actually is.
6–10 of 100
inbound SSDI leads worth meaningful attorney time
The other 90+ either burn attorney hours or get filtered by a human screener who’s inconsistent, expensive, and incentivized to hit transfer quotas. Either way, you’re paying a tax on every lead that isn’t a fit — and losing the nuance that matters on the leads that are.
“The cost line we never had a name for. We paid it every month, and it never showed up in a P&L category we could attack.”
Every other intake — human screener, chatbot, or voice AI — walks a decision tree. The same six questions, in the same order, regardless of what the claimant just said. Claim Pros' engine re-plans the next question after every answer: the same call goes 12 questions deep in Charlotte and 18 in Little Rock because the data says it should.
A screener's 'qualified' tells you nothing about how qualified. SSDI is probabilistic — borderline claimants get treated identically to slam-dunks, and you find out which is which by burning attorney time. A yes/no decision is the wrong shape for the answer you need.
Human intake scales with people: hire, train, retain, repeat. Quality varies by shift, caller, and time of day. Screeners are inconsistent, expensive, and incentivized to hit transfer quotas — and your best one is always the bottleneck on your best week.
Other voice agents were built for restaurants, dentists, and hotels — then pointed at SSDI. They run the same five-question script for every lead and hand you a binary qualified/not-qualified. The pre-dial TCPA compliance, the ALJ data, the calibrated probability — none of that ports from a hotel reservation flow. Claim Pros was built for one industry. It shows in every line of the call.
Adaptive intake. Calibrated score. Every lead.
Claim Pros is built specifically for SSDI. The intake engine adapts in real time to what the claimant says — probing the specific work quarters that determine credit eligibility, surfacing disqualifiers in seconds, exploring nuance where it matters. At the end of every call, you get a calibrated likelihood-of-qualification score you can actually trust.
Lead Arrives
- Web form, inbound call, SMS, or aggregator feed
- TCPA consent validated before any dial
- Duplicate detection: phone + email + 24h
- Normalized across 45+ source formats
Adaptive Intake
- First call inside 90 seconds of lead arrival
- Engine adapts each question to the prior answer
- Disqualifiers surface in ~30 seconds
- All five SSA criteria covered on every call
Calibrated Score
- Probability score, not a binary yes/no
- Calibrated against real qualification outcomes
- Hearing-office and ALJ context priced in
- Recommendation memo written for every lead
Triage & Onboard
- High-confidence: fast-track to onboarding
- Borderline: routed to attorney review
- Clear non-fits: declined with reasoning
- E-signature + Calendly on full completion
Score, then onboard on the same call.
Score, then attorney triages.
Every score is grounded in ALJ data.
Office by office. Condition by condition.
Every SSDI hearing office in the country has approval patterns that diverge — sometimes sharply — from national averages. Condition by condition. ALJ by ALJ. That data feeds directly into the calibrated score we return on every lead.
Source: SSA DDS public data · Quarterly refresh · Geographic boundaries approximate
SSDI in CA
- SANTA BARBARA71.3%387d
- PASADENA66.3%279d
- NORWALK66.1%278d
- SACRAMENTO65.4%300d
- SAN RAFAEL65.1%287d
The voice agent reads from this layer during qualification — judge approval rate, processing time, and three-year trend all weight question depth and evidence threshold.
Two claimants. Same condition — chronic back with depression. One in Charlotte, one in Little Rock. Charlotte approves that profile at 72%. Little Rock approves the same profile at 41%. The AI asks different questions on each call. Both produce the same output.
72%
Office-level ALJ approval
- — Lighter evidence threshold
- — 12-question qualification flow
- — Score: 87 · Pursue · Track B accept
41%
Office-level ALJ approval
- — Deeper evidentiary screening
- — 18-question qualification flow
- — Score: 72 · Conditional · Track B review
No guesswork. No gut feeling from someone on call 31. A score backed by the same data the SSA uses to evaluate those cases.
A calibrated score,
sharpened by your firm’s outcomes.
SSDI qualification is probabilistic. Final approval depends on medical evidence, adjudicator discretion, and factors no intake call can resolve — so we give you the thing you actually need: a calibrated probability for every lead, recalibrated continuously against your firm’s realized outcomes. Anyone promising “guaranteed qualified leads” is either misunderstanding SSDI or asking you to.
Attorney accept / decline decisions
Every case your attorneys take or pass generates a calibration signal. Over time, the model’s probabilities line up against your firm’s specific accept threshold — not an industry average.
ALJ hearing outcomes
Real hearing outcomes for your claimant population recalibrate how the score weights conditions against your specific judge roster. Office-by-office, condition-by-condition.
Appeals Council & federal-court rulings
Decision grounds at the appeals stage flow back to sharpen the score where it matters most: the borderline 0.5–0.7 band where attorney judgment carries the most weight.
Top-band calibration error stays within ±10 percentage pointsover the measurement window, written into your contract. If realized qualification rates fall outside that band, the calls in that band don’t count toward your bill.
Calibration runs on your firm’s case data alone. No other client’s decisions, outcomes, or claimant population touches your score. Continuously sharpened by what you accept and what wins. Untouched by anyone else’s.
Eight checks before a single dial.
Every outbound lead passes a pre-dial compliance layer before any call goes live — firm-specific consent, suppression checks, opt-out logic, and a defensible record on every dial. Built into the same intake flow that produces the score.
- Consent
Named-firm FCC-23-107 consent verified before any dial. Generic lead-seller consent is a hard block.
- Identity
Phone-to-name reconciliation + LITIGATOR_LIST scrub on every number.
- Suppression
Federal + state DNC, opt-out history, and 72-hour freshness gate — checked in real time.
- Records
Every checkpoint independently logged with a cryptographic timestamp. Defensible by default.
Better triage. Lower cost. On every lead.
A human intake screener costs ~11% of case revenue when you factor in salary, training, turnover, and the floor tax you pay on every non-qualifying call. Claim Pros runs at 1.8–3.1%— a fraction of the cost — and the unit economics don’t change whether you’re qualifying 50 leads a week or 5,000.
ClaimPros Rate
3.1%
Human Intake
~11%
Platform cost / mo
$2.3K – $4.5K
Case revenue / mo
$144K
ClaimPros Rate
2.4%
Human Intake
~11%
Platform cost / mo
$3.5K – $7K
Case revenue / mo
$288K
ClaimPros Rate
1.8%
Human Intake
~11%
Platform cost / mo
$5K – $12.5K
Case revenue / mo
$715K
ClaimPros Rate
1.8%
Human Intake
~11%
Platform cost / mo
Custom
Case revenue / mo
$2.1M
~8 margin points
Human screeners cost ~11% of case revenue; Claim Pros runs 1.8–3.1%. The gap — ~8 margin points— is the difference between paying a screener to read a script and paying for adaptive intake plus a calibrated score on every lead.
“We stopped guessing which leads to chase. The score sorts them. Our attorneys spend their time on the 0.8+ band; the screener-killers below 0.4 just get declined cleanly.”
One flat rate per scored lead. Cheaper than a screener at every tier.
One-time $4,999 onboarding — applied 100% as a dollar-for-dollar call credit at launch.It covers TCPA configuration, CRM/telephony integration, threshold calibration to your firm’s data, and a three-day implementation window. After that, one flat rate per scored lead covers the complete intake flow. Launch partners receive heavily discounted pricing locked in beyond the build phase.
We’re selecting a small number of SSDI firms
as launch partners.
We’re selecting three to four SSDI firms as launch partners. Terms: $7,500–$15,000 upfront, 100% credited toward your first year of calls. Weekly standups with the founder and engineering. White-glove integration. Direct input on the qualification model and the attorney-decision UI.
In return, we ask for honest feedback and a willingness to run real lead traffic through the product during build. Three slots left.
From lead arrival to first dial — around the clock
Calibration error against realized qualification rates
Independent TCPA checkpoints before any dial
Of case revenue currently lost to human intake screening
