Fini ships resolution. Convin ships conversation intelligence.
Convin and Fini both surface in searches for AI customer support tools, but they were built to do different jobs. Fini is a finished, per-resolution AI agent purpose-built for fintech and healthcare support, fully live in 14 days with native integrations into claims, billing, and EHR systems. Convin is a conversation-intelligence and QA platform, founded in 2021 around automated call scoring and coaching, that added an AI voice-calling agent for outbound and inbound calls in 2025.
This comparison is honest about the mismatch. Convin itself runs comparison pages against Observe.ai and Gong, conversation-intelligence and revenue-intelligence tools, not against resolution agents. If you landed here from a Convin search, it is worth knowing that even Convin does not put itself in Fini's category.
In this comparison: What each is · Convin pricing · How they differ · Capabilities · Feature by feature · Ease of use · Convin's strengths · What customers say · The full side-by-side · Which to choose · Compliance · FAQ
What is Fini?
Fini is an AI customer-support agent priced per resolution, backed by Y Combinator and Matrix Partners. It connects natively to helpdesk, knowledge base, CRM, billing, claims, and EHR systems, so it can take real action on tickets rather than just answering questions from a script.
Fini resolves 90% of support volume at 99% accuracy, goes live within 30 days, and already handles more than 3 million monthly resolutions for fintech and healthcare companies. It works across voice, chat, and email, supports 130+ languages, and responds to a new conversation in about 5 seconds.
Fini charges a starting rate of $0.49 per resolution, with no per-seat fees, so cost scales with outcomes rather than headcount or conversation volume. Its pricing also includes the 90-Day Money-Back Guarantee: if Fini does not reach a 90% resolution rate within 90 days of going live, you are not charged for the shortfall.
What is Convin?
Convin is a Bengaluru-based company founded in 2021 by four IIT-Delhi graduates. It started as a way to record and score sales and support calls, and that Conversation Intelligence Agent, automated QA scoring across calls, chats, and emails, agent coaching, an LMS, and voice-of-customer analytics, remains the product most of its customer testimonials describe.
In 2025 Convin added an AI Phone Call Agent for outbound and inbound voice calling, handling lead qualification, collections, follow-ups, and CRM updates, plus a Real-Time Assist Agent that prompts human agents live on a call. Both are newer additions layered onto the original QA and analytics platform, not a ground-up resolution agent.
Convin is direct about where it sees itself. Its own site runs "Convin Vs Observe.ai" and "Convin Vs Gong" comparison pages, positioning itself against conversation-intelligence and revenue-intelligence tools, not against autonomous resolution agents like Fini. That is a useful signal for anyone comparing the two: even Convin's own footer does not place it in Fini's category. See Convin's own site for its full product line.
Convin pricing in 2026
Convin does not publish pricing. Its pricing page lists tiers, CX Suite, Real-Time Suite, Voice of Customer, and Post-Interaction Suite, plus a Mobile App add-on, and every one of them ends in a Book a Demo button rather than a dollar figure. The only line item without a demo gate is a standalone, free Quality Management tool for manual QA.
That is a plain contrast with Fini's flat, published $0.49 per resolution. A buyer comparing the two has one number to evaluate against Fini, and a custom quote to negotiate with Convin before knowing what either product will actually cost.
How Fini and Convin differ
The core difference is category, not just feature depth. Fini is an autonomous resolution agent: it takes a ticket, resolves it against your systems, and reports a resolution rate. Convin is a conversation-intelligence and agent-assist platform: it scores, coaches, and increasingly calls, but its own comparison pages put it up against Observe.ai and Gong, tools that analyze and assist human-run conversations, not tools that resolve tickets end to end.
Convin's named customers reflect that center of gravity. Kotak Life Insurance is a real BFSI logo, and Fyers, a stockbroking platform, is fintech-adjacent, but neither case study describes core-banking, claims, or EHR integration depth. The rest of Convin's public logos, Physics Wallah, Vyapar, Bombay Shirt Company, EzoBooks, and Traya, sit in edtech, SMB billing, retail, and consumer wellness, not the regulated fintech and healthcare workflows Fini is built around, the kind of agentic AI depth that comes from integrating directly into claims and EHR systems.
Capabilities side by side
At a functional level, the two products are built for different buyers. The table below lines up the core capabilities most teams evaluate first.
Capability | Fini | Convin |
|---|---|---|
Primary focus | Finished AI agent for fintech and healthcare support | Conversation intelligence, QA, and agent-assist platform with a 2025 outbound voice agent |
Time to go live | 30 days | Not disclosed, demo-gated custom implementation |
Pricing model | $0.49 per resolution, no per-seat fees | Custom quote only, no published pricing |
Vertical integrations | Native to claims, billing, CRM, EHR, helpdesk, knowledge base | Contact-center, dialer, and CRM layer; no core-banking, claims, or EHR connectors evidenced |
Resolution guarantee | 90-Day Money-Back Guarantee: 90% in 90 days or no charge for the shortfall | No resolution-rate guarantee found; metrics are QA coverage and CSAT/AHT |
Feature by feature
Zooming into individual features shows the same pattern: Fini resolves tickets end to end, Convin scores and assists the conversations around them.
Feature | Fini | Convin |
|---|---|---|
Channels | Voice, chat, email | Outbound and inbound voice calling, plus QA scoring across chat, email, and WhatsApp/SMS text |
Languages | 130+ | Not specified in public product pages |
Resolution accuracy | 90% resolution at 99% accuracy | Not applicable; Convin reports QA coverage and CSAT/AHT lifts, not a resolution rate |
Knowledge grounding | Built in, tuned for regulated support content | Real-time knowledge prompts for a human agent via Real-Time Assist, not autonomous resolution grounding |
Multi-step workflows and tool calls | Native to the agent | CRM updates and campaign triggers (WhatsApp/SMS/email) from the AI Phone Call Agent |
Escalation to a human | Built into the core workflow | Reversed model: Real-Time Assist augments a human who is already on the call |
Vertical connectors (claims, EHR, core banking) | Native | Not evidenced in public case studies |
Ease of use and admin experience
Fini's onboarding looks like an implementation project, not a configuration project: connect your existing systems, and Fini goes fully live in 14 days already tuned for fintech and healthcare support. There is no bot-building canvas involved because the agent, its integrations, and its escalation logic are already built.
Convin's admin experience centers on the Conversation Intelligence Agent: dashboards for QA scoring, coaching, and voice-of-customer analytics, plus a supervisor view for the Real-Time Assist Agent. Setting up the newer AI Phone Call Agent for outbound or inbound calling is a separate build, campaigns, entity extraction, and CRM triggers to configure, closer to standing up a dialer product than deploying a finished resolution agent. Convin also offers on-prem, client-cloud, or private-cloud deployment, an enterprise flexibility point worth noting even where it does not change the underlying category.
Fini's differentiators
Built for regulated industries, not a QA layer on top of them
Fini's integrations into claims, billing, CRM, and EHR systems are native, not something layered on after the sale. Convin's integrations sit at the contact-center and CRM layer, useful for QA and dialer workflows, but not evidenced at the core-banking or EHR depth Fini is built around.
Resolution-based pricing, not a custom quote
At $0.49 per resolution with no per-seat fees, Fini's cost tracks outcomes and is published for anyone to see. Convin discloses no pricing at all; every plan requires a demo and a negotiated quote before you know what it costs.
A guarantee, not a coaching metric
Fini's 90-Day Money-Back Guarantee means that if it does not hit 90% resolution within 90 days of going live, you do not pay for the shortfall. Convin's public metrics are QA coverage, CSAT, and AHT improvements, real numbers for a real category, but nothing that commits to a resolution outcome.
One category, not three bolted together
Fini is a single, purpose-built resolution agent. Convin is three named agents, Conversation Intelligence, Real-Time Assist, and the 2025 AI Phone Call Agent, stitched onto one platform, each solving a different, narrower problem than end-to-end ticket resolution.
Convin's recognized strengths
None of this makes Convin a weak product in its own category. Its Conversation Intelligence Agent does genuine, automated QA across calls, chats, and emails, with coaching workflows and an LMS built around real supervisor use cases, the kind of depth that comes from being the company's founding product since 2021, not a bolt-on feature.
It also has one real, named BFSI logo, Kotak Life Insurance, a life-insurance case study with a named executive and a large contact-center footprint, plus Fyers, a fintech-adjacent stockbroking customer. Its trust and security pages are live and detailed rather than 404s, with specific control-area language for SOC 2 Type II, ISO 27001, and HIPAA, a better-than-average trust posture for the category, even where none of it is independently verified here. For a contact-center ops team that wants QA automation and live agent coaching, Convin is a well-built platform to evaluate.
What customers say
Fini customers describe measurable resolution outcomes on live support volume in fintech and healthcare.
Convin's own homepage testimonials, from Kotak Life, Fyers, Traya, and Physics Wallah, describe QA coverage, coaching, and conversion or CSAT lifts, the outcomes its Conversation Intelligence Agent is built to produce. Convin also displays a 4.7/5 rating badge site-wide, but does not label which review platform it comes from, and G2 and Capterra were both inaccessible in this research pass, so no independent review count or current star rating can be confirmed here.
The full side-by-side
Pulling every verified data point together for a single reference view.
Category | Fini | Convin |
|---|---|---|
Product type | Finished per-resolution AI agent | Conversation intelligence, QA, and agent-assist platform with a 2025 AI voice-calling agent |
Pricing | $0.49 per resolution, no per-seat fees | Custom quote only, no published pricing |
Time to go live | 30 days | Not disclosed, demo-gated implementation |
Resolution rate | 90% at 99% accuracy | Not applicable; reports QA coverage and CSAT/AHT, not a resolution rate |
Guarantee | 90-Day Money-Back Guarantee, 90% in 90 days | No public resolution-rate guarantee |
Channels | Voice, chat, email | Outbound/inbound voice calling, plus chat, email, and WhatsApp/SMS QA scoring |
Languages | 130+ | Not publicly specified |
Vertical integrations | Native: claims, billing, CRM, EHR, helpdesk, knowledge base | Contact-center, dialer, and CRM layer; no core-banking, claims, or EHR connectors evidenced |
Backers | Y Combinator, Matrix Partners | Series A, $6.5M (August 2024); earlier pre-seed and seed rounds; total funding undisclosed |
Compliance certifications | Confirm directly with Fini for your workload | Claims SOC 2 Type II, ISO 27001, HIPAA (as Business Associate), and GDPR-readiness; none independently verified here |
Public reviews | Customer testimonials on usefini.com | Self-reported 4.7/5 badge, platform unlabeled; G2 and Capterra inaccessible for independent verification |
Monthly resolution volume | 3M+ across fintech and healthcare | Not applicable; not a resolution-based product |
Which should you choose?
Choose Convin if you run a contact center and want automated QA across every call and chat, live coaching for human agents, and are now also evaluating its 2025 AI Phone Call Agent for outbound calling or collections. That is squarely what Convin is built for, and it competes there against Observe.ai and Gong by its own reckoning.
Choose Fini if you are a fintech or healthcare company that needs an autonomous agent fully live in 14 days, resolving real tickets against your claims, billing, EHR, or core systems, not scoring conversations after the fact or assisting a human through them. If you are evaluating other conversation-intelligence and QA tools too, see how Fini compares to Observe.AI and Level AI.
Compliance
Convin's trust and security pages are live and specific: it claims GDPR-readiness, CCPA compliance, HIPAA compliance as a Business Associate, an annual SOC 2 Type II audit, and ISO 27001 controls across asset management, access control, and business continuity, plus third-party pentesting from Astra and AWS-hosted infrastructure. None of these claims carry a linked audit report, auditor name, or public trust portal, so treat them as claimed, not independently verified.
Fini serves fintech and healthcare customers handling regulated data through native integrations into claims, billing, and EHR systems. See Fini's own security page and confirm current certification status directly with Fini's team for your specific workload rather than assuming parity with Convin's published claims.
Ready to compare on your own data?
The fastest way to know which category actually fits your support workflow is to test against your own tickets and your own systems, not a comparison page. Talk to Fini about a live pilot on your own data.
Is Convin a good fit for fintech or healthcare support?
Convin has one real BFSI logo (Kotak Life Insurance) and a fintech-adjacent stockbroking customer (Fyers), but it is a conversation intelligence, QA, and agent-assist platform, not an autonomous resolution agent. It has no publicly evidenced integrations into core banking, claims, or EHR systems, and no healthcare case study at Fini's level of clinical or EHR-linked depth.
What does Convin cost in 2026?
Convin does not publish pricing. Every tier on its pricing page, CX Suite, Real-Time Suite, Voice of Customer, and Post-Interaction Suite, ends in a Book a Demo button rather than a dollar figure, and a custom quote is required to see actual costs.
How is Fini's pricing different from Convin's?
Fini charges a starting rate of $0.49 per resolution with no per-seat fees, so cost tracks outcomes. Convin has no published pricing at all, every plan is a custom quote gated behind a demo request.
Is Convin a resolution agent or a QA and analytics platform?
It is fundamentally a conversation intelligence and QA platform. Its Conversation Intelligence Agent automates call, chat, and email scoring and coaching, and its Real-Time Assist Agent helps human agents mid-call; an AI Phone Call Agent for outbound and inbound voice calling was added in 2025. Convin's own comparison pages position it against Observe.ai and Gong, not against resolution agents like Fini.
Is Convin SOC 2 and HIPAA compliant?
Convin claims an annual SOC 2 Type II audit, ISO 27001 controls, and HIPAA compliance as a Business Associate on its live trust and security pages. None of these claims link to an audit report or a public trust portal, so they should be treated as claimed, not independently verified.
How fast can I go live with Fini versus Convin?
Fini goes fully live in 14 days on your own data, with claims, billing, CRM, and EHR integrations already built in. Convin does not publish an implementation timeline; its core QA product requires call and chat ingestion setup, and its newer AI Phone Call Agent requires separate campaign and CRM-trigger configuration.
