Sequin is live · pricing not published · last verified 26 Oct 2026 · viability monitor
Sequin
Compliance-first AI collections agent with voice and text outreach for regulated lenders and AR teams.
Sequin is a specialist, and it prices like one. You are buying regulatory enforcement plus a team that has defended lending programs in exams — preconfigured FDCPA and TCPA rules, Mini-Miranda, cease-and-desist handling, and no-sampling QA on every conversation. That matters more than voice naturalness when a state regulator is reading your call logs. The trade-offs are structural: this is built for collections conversations, not general customer service, and there is no dialer throughput story.
Verdict generatedVerified 18d ago · liveness 66/100 · cite: rightaichoice.com/tools/sequin
- Accounts receivable collections teams at mid-market to enterprise companies
- Consumer lenders and servicers needing compliance-first automation
- Finance operations leaders automating dunning calls without engineering work
- Firms that require exam-ready documentation for regulators
- B2C collections teams wanting predictive dialer or auto-dialer capabilities
- Businesses needing a general-purpose voice assistant or chatbot
- Teams whose throughput model depends on dialer pacing
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Skip Sequin if you need a predictive or auto-dialer to drive call throughput, or a general-purpose voice assistant rather than a collections specialist with a compliance layer.
You are paid-on-performance, so the vendor's fee scales with what it collects — model your recovery-rate assumptions before the pilot, not after.
Sequin describes performance-based pricing with no per-seat fees and no minimums, which fits mid-market to enterprise AR and consumer lending teams whose collections volume swings. That structure differs from per-seat general voice platforms, where cost tracks headcount rather than recovered dollars — the trade-off is that you need a live collections book to run the pilot against.
In short
Sequin — Compliance-first AI collections agent with voice and text outreach for regulated lenders and AR teams. Best for Accounts receivable collections teams at mid-market to enterprise companies, Consumer lenders and servicers needing compliance-first automation, Finance operations leaders automating dunning calls without engineering work. Pricing not published.
What is Sequin?
Sequin — Compliance-first AI collections agent with voice and text outreach for regulated lenders and AR teams. Best for Accounts receivable collections teams at mid-market to enterprise companies, Consumer lenders and servicers needing compliance-first automation, Finance operations leaders automating dunning calls without engineering work. Pricing not published.
Sequin AI sells a collections agent named Mary — voice and text — built for AR and consumer debt recovery rather than general customer service. She runs outbound loan servicing calls, pre-charge-off collections, post-charge-off recovery, inbound after-hours calls, payment-link handoffs, compliance-aware escalation and human warm transfers. The vendor reports 33% lift in dollars collected versus generic SMS and email campaigns, 7x ROI in 90 days on average across cohorts, and roughly 1M calls and texts sent with zero compliance breaches. The compliance layer is the product: CFPB, UDAAP, FCRA, FDCPA, TCPA and state-specific requirements are enforced through preconfigured rules covering cease-and-desist, Mini-Miranda, frequency caps, disputes, bankruptcy and SCRA. Every conversation is evaluated within seconds against your approved QA and compliance scorecard, with no sampling — anything outside policy is flagged and routed for review. Agents are tested against normal, edge and adversarial prompts before launch, and the same tests keep running in production to catch drift. Evidence packs are available on demand and aligned to exam manuals from the CFPB, OCC, FDIC, NCUA and state regulators. Sequin is SOC 2 Type II certified and backed by Y Combinator, with US consumer credit card companies, lenders and servicers named as deployments. Founders are ex-Visa and ex-PayPal. Onboarding is a pilot: two 30-minute calls and flat-file transfers, no engineering work. It competes with general voice platforms on regulatory enforcement, not model quality.
Key features
- AI voice agent (Mary) for outbound and inbound collections calls
- AI text agent for collections messaging, same agent as voice
- Multilingual support: English, Spanish, French
- Preconfigured compliance rules for CFPB, UDAAP, FCRA, FDCPA, TCPA and state requirements
- Cease-and-desist, Mini-Miranda, frequency-cap, dispute, bankruptcy and SCRA enforcement
- Near real-time 100% QA on every conversation, no sampling
- Out-of-policy flagging and routing for human review
- Scenario testing against normal, edge and adversarial prompts before launch
- Continuously running test suites for drift detection in production
- Regulator-ready evidence packs aligned to CFPB, OCC, FDIC, NCUA and state exam manuals
- Outbound loan servicing support and pre-charge-off collections
- Post-charge-off recovery workflows
- Payment-link handoff and compliance-aware escalation
- Human warm transfers for sensitive borrower situations
- Borrower friction insights reporting
Behind the verdict
Pick Sequin when the constraint is compliance, not headcount. A lender running pre-charge-off and post-charge-off collections under CFPB and state supervision gets the most from it — the preconfigured rule set, the 100% no-sampling QA, and the evidence packs aligned to CFPB, OCC, FDIC, NCUA and state exam manuals are the parts that survive an exam. We'd also reach for it when you have no engineering capacity. Two 30-minute calls and flat-file transfers is the stated onboarding path, which is unusual for a system making regulated outbound calls. Pass if you need a predictive dialer. Sequin handles conversations, not dialer pacing, and teams whose throughput model depends on auto-dialing should stay on dialer software and layer Sequin on answered calls. Pass if you want a general-purpose voice assistant or chatbot for support tickets — the agent is scoped to collections language and guardrails, and bending it into general CX defeats the compliance design you are paying for. The closest alternative is a general voice AI platform plus your own compliance team. That can work if you already have in-house collections compliance counsel and QA staff. What you lose is the preconfigured rule library and the drift-detection test suites that keep running after launch. Pricing is performance-based per the vendor: paid when you collect, no per-seat fees, no minimums. Useful if your book volume swings, but the structure means the vendor's incentive rides on recovered dollars, so model it against your current cost-per-dollar-collected before signing. Watch the deployment scope. Case studies and named clients skew toward US consumer credit card issuers, lenders and servicers — if you are outside consumer credit, ask hard questions about rule coverage for your product type during
Limitations
- Sequin is a specialist, not a platform.
- The seed profile notes no predictive or auto-dialer capability, and it is built for collections conversations and after-hours inbound rather than general customer service — pointing it at general support wastes the compliance layer you are paying for.
- Success depends on you having something to load in: approved script libraries, compliance rules, QA scorecards and escalation paths.
- Shops that have never formalized those will spend part of the pilot writing them.
- Reported performance figures (33% lift in dollars collected, 7x ROI in 90 days, ~1M calls and texts) are vendor-reported and should be validated in your own pilot.
as of 2026-10-09
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Is Sequin still active?
Sequin is live · pricing not published · last verified 26 Oct 2026 · viability monitor.
Viability score
How well maintained and how widely used is Sequin? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: November 2026
How we score →What do users say about Sequin?
What people actually say about Sequin — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
ResearchedDiscussed by users across 6 sources (Hacker News, YouTube, Product Hunt, App Store, Bluesky, Lemmy) · researched Nov 3, 2026.
Weighted by the 80 posts each of 6 sources contributed.
- +Compliance rules for CFPB, FDCPA, TCPA, and SCRA are prewired, not bolted on after the fact
- +Full 100% QA on every conversation, no sampling — the standout differentiator versus generic voice platforms
- +Regulator-ready evidence packs aligned to CFPB, OCC, FDIC, and NCUA exam manuals
- +Founders' ex-Visa and ex-PayPal backgrounds signal real financial-services credibility
- +Pilot onboarding via two 30-minute calls and flat-file transfer, no engineering lift required
- −No authentic community reviews of the collections agent exist in this dataset
- −Performance claims (33% lift, 7x ROI) are unaudited and unverified by third parties
- −Integration list is thin — YayPay, Billtrust, QuickBooks only, no wider AR ecosystem
- −Pricing is opaque; no tiers or numbers published for buyers to benchmark
- −Regulatory enforcement is a claim that needs independent legal review, not just vendor copy
- • Enterprise sales cycle likely requires legal and compliance review time
- • Custom integration work if you're not on YayPay/Billtrust/QuickBooks
- • Per-call or per-conversation metering not published, so scaling costs are opaque
How we verified this
Every listed fact about Sequin — pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 26 Oct 2026. Analysis is drafted with AI models and checked against our editorial standards before publishing; see how we verify.
Verification history
We have re-verified Sequin 10 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed summary, who it suits, features, description, our verdict, who should skip it
- — changed SSL certificate
- — changed switching out, description, our verdict, features, hidden costs, limitations, switching in, who should skip it, pricing fit, setup time, summary, use cases
- — changed our verdict, switching out, summary, features, who should skip it, hidden costs, limitations, description, switching in, who it suits, pricing fit, use cases, setup time
- — changed domain expiry
- — changed setup time, switching in, who should skip it, pricing fit, hidden costs
Showing the 6 most recent of 10 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Sequin cost in 2026?
Sequin: Pricing not published. Pricing last verified 26 Oct 2026.
Where the pricing makes sense
The company stage and team size where Sequin's pricing actually pencils out — and where peers do it cheaper.
Sequin describes performance-based pricing with no per-seat fees and no minimums, which fits mid-market to enterprise AR and consumer lending teams whose collections volume swings. That structure differs from per-seat general voice platforms, where cost tracks headcount rather than recovered dollars — the trade-off is that you need a live collections book to run the pilot against.
Has Sequin's pricing changed?
No plan price for Sequin has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Sequin?
Pick Sequin if you are Accounts receivable collections teams at mid-market to enterprise companies, Consumer lenders and servicers needing compliance-first automation, Finance operations leaders automating dunning calls without engineering work, Firms that require exam-ready documentation for regulators.
Look elsewhere if you are B2C collections teams wanting predictive dialer or auto-dialer capabilities, Businesses needing a general-purpose voice assistant or chatbot, Teams whose throughput model depends on dialer pacing, Buyers who want a fixed per-seat SaaS price rather than performance-based pricing.
Skip it if Skip Sequin if you need a predictive or auto-dialer to drive call throughput, or a general-purpose voice assistant rather than a collections specialist with a compliance layer.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Sequin actually fits — and what changes day-one when you adopt it.
They load aged-invoice flat files and approved script libraries during the two 30-minute onboarding calls, then let Mary work outbound pre-charge-off calls on the delinquency buckets while QA scores every conversation against their scorecard.
Outcome: Collectors stop dialing routine first-party reminders and pick up the flagged, out-of-policy or escalated calls instead.
Inbound after-hours borrower calls route to Mary, who answers inside the approved script, enforces Mini-Miranda and frequency-cap rules, hands off a payment link when the borrower agrees, and warm-transfers anything compliance-aware to a human.
Outcome: The overnight queue is answered without staffing it, and every after-hours conversation still carries a QA record.
Before launch they run the agent against normal, edge and adversarial test cases, then pull on-demand evidence packs showing how each agent was built, tested and authorized, aligned to CFPB, OCC, FDIC, NCUA and state exam manuals.
Outcome: Exam documentation is pulled on demand rather than reconstructed from call samples months later.
Use cases
- Automate first-party collections calls for overdue invoices with a human-like AI agent.
- Configure call scripts that adapt to debtor objections and offer payment plans dynamically.
- Trigger calls from YayPay or Billtrust based on aging buckets and payment status.
- Handle inbound after-hours borrower calls without staffing an overnight queue.
- Escalate difficult calls to human collectors with full context and transcript.
- Run pre-production adversarial testing on a new call flow before it touches a borrower.
- Produce exam-ready evidence packs for a CFPB, OCC, FDIC, NCUA or state regulator review.
- Analyze call outcomes and borrower friction to tune collections strategy across cohorts.
Setup time & first value
How long it actually takes to get something useful out of Sequin — broken out by persona, not the marketing-page minute.
Vendor-described pilot onboarding is fast: two 30-minute calls plus flat-file transfers, no engineering support or deep integration required — so a first automated call can happen in days, not a quarter. Your real timeline depends on how quickly you can hand over approved script libraries, compliance rules, QA scorecards and escalation paths.
Switching to or from Sequin
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual dialing and spreadsheet queues: load aged-invoice flat files during onboarding and let Mary work the delinquency buckets you already prioritize.
- →From generic SMS and email dunning campaigns: move the same cohorts to voice and text agents with compliance rules enforced per conversation.
- →From a general-purpose voice assistant: port your call flows and scorecards, then add the CFPB, FDCPA and TCPA rule layer the general tool did not have.
- ↗To a predictive dialer: keep Sequin for compliance-scored conversations and route high-throughput dialing to a dialer, since Sequin is not an auto-dialer.
- ↗To a general customer service voice platform: only if your collections compliance requirements are being handled by a separate review process.
Integrations
Resources & guides
Tutorials & Learning
YouTube returned 6 videos for “Sequin”, and we withheld 6: 6 could not be judged, because “Sequin” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Sequin.
Official links
What are the best Sequin alternatives?
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Presto Voice | Contact Sales | Custom pricing | 13 Nov 2026 |
| RapidSOS | Contact Sales | Custom pricing | 14 Nov 2026 |
| Retell AI | Freemium | Free plan · paid plans on request | 8 Nov 2026 |
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Sequin vs its closest rival
Sequin's closest head-to-head is with Presto Voice.
Our Sequin vs Presto Voice verdict written Jul 3, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
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