Sequin
AI voice and text agents for regulated debt collections, with built-in CFPB, FDCPA and TCPA enforcement.
Sequin is one of the few voice AI products whose value sits in regulatory enforcement rather than model quality, and that is exactly what a servicer facing a CFPB exam is buying. Preconfigured FDCPA and TCPA rules, Mini-Miranda, cease-and-desist handling, and no-sampling QA on every conversation are the reasons to pick it over a general voice platform. The trade-offs are real: the seed profile flags no public API and no mobile app, which pushes custom integrations and on-the-go management off the table, and it is not a predictive dialer. If you need a general-purpose voice assistant, look at Dako or Gorgias; if you need dialer throughput, look at a dialer. If you need audit-ready
Verified 1d ago · liveness 64/100 · 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 requiring a public API for custom integrations
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Skip Sequin if you need a predictive dialer for high-volume outbound dialing, a mobile app for on-the-go management, or a general-purpose voice assistant that also answers sales and support calls.
Performance-based pricing is quoted with no minimums, but the terms live in your contract, so the effective rate depends on how your collections volume and recovery rates land.
The vendor describes pricing as performance-based with no per-seat fees and no minimums, which suits teams whose collections volume varies by cohort and season. That model favors mid-market to enterprise servicers and lenders with enough account volume to make outcome-linked pricing meaningful, and it is a poor fit for very small books where a modest flat per-seat tool would cost less. Sequin's pricing page was not reached this run, so verify current terms directly with the vendor before
In short
Sequin — AI voice and text agents for regulated debt collections, with built-in CFPB, FDCPA and TCPA enforcement. 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. Paid pricing.
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.
39 mentions across 3 sources (Hacker News, GitHub, Lemmy) · researched Jul 3, 2026.
Average across the 3 sources that answered — each source counts once, not each post.
- +Domain-specific tuning for accounts receivable collections contexts.
- +Multilingual support including English, Spanish, and French.
- +No-code agent setup and script customization via web interface.
- +Integrates directly with YayPay, Billtrust, and QuickBooks.
- +Real-time transcription, sentiment analysis, and talk-over detection.
- −No published API for custom or advanced integrations.
- −Lacks a mobile app for on-the-go management.
- −Not a general-purpose voice assistant—only B2B collections.
- −No predictive dialer or auto-dialer functionality.
- −Community feedback is virtually nonexistent, making evaluation difficult.
- • No detailed pricing is publicly available; per-call rates may vary with volume
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: September 2026
How we score →Key Features
- AI voice agent (Mary) for outbound collections calls
- AI text agent for collections messaging
- 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 pre- and post-production
- Drift detection through continuously running test suites
- Regulator-ready evidence packs aligned to CFPB, OCC, FDIC, NCUA and state exam manuals
- Voice and text channels in one agent
- Outbound loan servicing support and pre-charge-off collections
- Post-charge-off recovery workflows
- Inbound after-hours call handling
- Payment-link handoff
About Sequin
Sequin (sequinai.com) sells an AI collections agent named Mary, purpose-built for accounts receivable and consumer debt collections rather than general customer service. Mary handles outbound loan servicing calls, pre-charge-off collections, post-charge-off recovery, inbound after-hours calls, payment-link handoffs and human warm transfers across voice and text. The compliance layer is the differentiator: 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 protections. Every conversation is evaluated within seconds against your approved QA and compliance scorecard with no sampling, and anything out of policy is flagged for review. Agents are tested against normal cases, edge cases and adversarial prompts before launch, and the same tests keep running in production to catch drift and produce regulator-aligned evidence packs (CFPB, OCC, FDIC, NCUA and state exam manuals). Sequin is SOC 2 Type II certified, backed by Y Combinator, and reports deployment with US consumer credit card companies, lenders and servicers, with ~1M calls and texts sent and zero compliance breaches claimed. The founder team is ex-Visa and ex-PayPal. Pricing is described by the vendor as performance-based with no per-seat fees and no minimums, and onboarding is a pilot run over two 30-minute calls plus flat-file transfers.
Behind the Verdict
Most voice AI vendors answer the question 'can the bot talk like a person?' Sequin answers a different one: 'can you survive an exam after the bot talked to a borrower?' That framing decision is baked into the product. The agent, Mary, is trained on thousands of hours of compliant collections interactions and is constrained by preconfigured rules for cease-and-desist, Mini-Miranda, frequency caps, disputes, bankruptcy and SCRA. Those are exactly the failure points that generate litigation in consumer collections, and handling them as enforced configuration rather than as prompt instructions is the substantive engineering difference between Sequin and a repurposed support chatbot. The second real capability is QA coverage. Sequin evaluates every conversation within seconds against your scorecard, with no sampling, and flags anything outside policy. Traditional collections QA samples one or two percent of calls. If your compliance team has ever had to explain a sampling methodology to an examiner, the difference is obvious. The third is scenario testing that persists after launch. Agents are tested against normal, edge and adversarial cases before go-live, and the same suite keeps running in production to catch drift. The output is evidence packs aligned to CFPB, OCC, FDIC, NCUA and state exam manuals, generated per agent and per production conversation. Where Sequin is narrower than its marketing might suggest: it is a collections specialist, not a general voice assistant, and it is not a predictive dialer. The seed profile also notes no public API and no mobile app, which matters if your roadmap includes custom integrations or managing operations from a phone. Team size and compliance maturity matter more than headcount here, because value shows up fastest when you already have scripts, scorecards and escalation paths written down. The vendor reports a 33% lift in dollars collected versus generic SMS and email campaigns and 7x ROI in 90 days, plus a client list including KKR and Collective Health; those are vendor-published figures and should be validated in your own pilot cohort.
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Real-world workflow fit
Concrete scenarios for the personas Sequin actually fits — and what changes day-one when you adopt it.
Load flat files of early-delinquency accounts on the two-call pilot setup, have Sequin configure Mary against your approved script library, and run outbound calls on aging buckets for one cohort.
Outcome: Right-party contact and promise-to-pay activity starts flowing within the pilot window, and every conversation arrives with a QA score and transcript attached.
Use the preconfigured FDCPA and TCPA rules and the near real-time 100% QA pass to review flagged conversations, then pull evidence packs aligned to the CFPB and OCC exam manuals.
Outcome: You walk into the exam with agent build, testing and authorization documentation plus production conversation explanations on demand, instead of a sampling-based QA narrative.
Trigger Sequin calls from YayPay or Billtrust based on aging buckets, and route borrowers who want to settle into a payment-link handoff or a warm transfer to a human collector.
Outcome: Routine dunning calls run without collector time, and collectors spend their hours on the accounts that actually need negotiation.
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 dynamically offer payment plans.
- 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 sentiment to tune collections strategy across cohorts.
Limitations
- Sequin is a specialist, not a platform.
- The seed profile notes no public API for custom integrations, no mobile app (desktop-only management), and no predictive or auto-dialer capability.
- It is built for collections conversations and after-hours inbound, not as a general voice assistant, so using it as a general customer service bot would waste the compliance layer you are paying for.
- Success also 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.
as of 2026-09-27
Verification history
We have re-verified Sequin 7 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.
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- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
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Where the pricing makes sense
The company stage and team size where Sequin's pricing actually pencils out — and where peers do it cheaper.
The vendor describes pricing as performance-based with no per-seat fees and no minimums, which suits teams whose collections volume varies by cohort and season. That model favors mid-market to enterprise servicers and lenders with enough account volume to make outcome-linked pricing meaningful, and it is a poor fit for very small books where a modest flat per-seat tool would cost less. Sequin's pricing page was not reached this run, so verify current terms directly with the vendor before
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.
The vendor describes a pilot taking two 30-minute calls plus flat-file transfers, with no engineering support or deep integration required, so an initial pilot can realistically be running within days rather than weeks. First value depends on how fast you can hand over approved script libraries, compliance rules, scorecards and escalation paths. Teams without those documented should add internal
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 outbound calling: Export account and contact lists as flat files, load your approved script library, and let Sequin run the first cohort while collectors keep the complex accounts.
- →From a general voice assistant or chatbot: Replace prompt-based instructions with Sequin's preconfigured CFPB, FDCPA and TCPA rules so cease-and-desist, Mini-Miranda and frequency caps are enforced by configuration.
- →From sampled QA programs: Move from a sampled review of recordings to 100% automated evaluation on every conversation against your scorecard.
- →From SMS and email dunning campaigns: Add voice outreach for cohorts that ignore text and email, and compare dollars collected against the previous campaign.
- ↗To a predictive dialer platform: Export conversation transcripts and outcome classifications, then rebuild scripting in a dialer-centric tool if outbound dialing volume is the priority.
- ↗To a general voice AI platform: Port your script content, but expect to re-implement compliance enforcement and evidence documentation manually.
- ↗To in-house collections software with an internal API requirement: Retain exported call transcripts and QA scores as the historical record before switching.
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
Tools that pair well with Sequin
Common stack mates teams adopt alongside Sequin, with the specific reason each pairing earns its keep.
ElevenLabs
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Deepgram
Deepgram's speech-to-text, text-to-speech and Voice Agent APIs let developers ship real-time voice AI from one endpoint.
AssemblyAI
Voice AI infrastructure for developers: speech-to-text, speech understanding, guardrails, and LLM routing on one API key.
Featured Head-to-Head Comparisons
Sequin vs Presto Voice
Presto Voice and Sequin serve entirely different verticals — drive-thru ordering vs. B2B collections — so the choice depends on your industry. If you run a QSR chain seeking revenue lift via automated upselling, Presto Voice is purpose-built. If you manage A/R collections and need compliant, multilingual outbound calls, Sequin is the clear pick. Neither competes directly.
Sequin vs Truleo
Truleo and Sequin serve completely different domains: public safety vs. commercial collections. Choose Truleo if you are a law enforcement agency needing to unify siloed data and automate case intelligence. Choose Sequin if you manage B2B accounts receivable and want to automate collections calls with AI voice agents. They are not competitors—select based on your sector.
Sequin vs Bitsgap
Bitsgap and Sequin serve entirely different domains: Bitsgap is for automated crypto trading with bots, while Sequin automates B2B collections calls with AI voice agents. Choose Bitsgap if you trade cryptocurrencies and want a unified bot platform; choose Sequin if you manage accounts receivable and need to scale outbound collections. There is no direct overlap.
Alternatives to Sequin
View allElevenLabs
ElevenLabs turns text into speech, music, sound effects and video, plus voice and chat agents, all drawing on one shared credit pool.
Deepgram
Deepgram's speech-to-text, text-to-speech and Voice Agent APIs let developers ship real-time voice AI from one endpoint.
AssemblyAI
Voice AI infrastructure for developers: speech-to-text, speech understanding, guardrails, and LLM routing on one API key.
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