Fini
Also known as: Fini AI, Sophie, Fini Inc.
Enterprise support agent for fintech and regulated sectors that resolves across voice, chat and email on one reasoning layer, takes real actions in billing and CRM systems, and maintains its own knowledge graph from resolved tickets.
Fini is a customer support agent for fintech and other regulated sectors that automates refunds, KYC and plan changes, resolving across voice, chat and email on one reasoning layer with shared policies and a single audit trail.
It is built as a published five-layer architecture: guardrails that check every query in real time, mask personal data and enforce company rules such as refund policy; an LLM Supervisor that chooses between retrieving, reasoning, replying and acting; skill modules that search, write responses, follow internal processes and take actions through API calls into systems such as Stripe and Zendesk; a live feedback and evaluation loop; and a traceability layer.
Its prebuilt agent, Sophie, covers high-volume journeys such as refunds, duplicate charges, cancellations and product questions out of the box. Knowledge Atlas ingests the customer's knowledge base and historical tickets into a graph, detects gaps from resolved tickets and writes the missing articles itself; Fini describes its retrieval as RAGless. It layers onto Zendesk, Intercom, HubSpot, Front, Gorgias, Salesforce, Freshdesk, LiveChat, Slack and Discord through one-click OAuth and supports 130 plus languages.
It runs on Google Cloud Platform with OpenAI as its model provider, and its trust portal publishes GDPR, ISO 27001 and SOC 2. Growth pricing is $0.69 per resolution against a $1,799 monthly minimum.
Vendor details
Canonical URL
https://www.usefini.com
Category
Customer support agent
Subcategory
Support — AI agent
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
In practice
Your support team spends its day on refunds, KYC checks, and plan changes. Fini automates those actions directly, so routine requests resolve without a rep.
A customer wants a refund now, not a ticket number. Fini's agent processes the refund itself, closing the loop in the conversation.
Account changes like a plan upgrade bounce between support and billing. Fini handles plan changes as an action, so the customer's request gets done in one place.
Agentic Index coverage score
8.5 / 14 capabilities · 61%
| Integrations & Tool Calling | Full |
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Fini layers onto an existing helpdesk through one-click OAuth, with marketplace-verified listings on Zendesk, Intercom, HubSpot, Front and Gorgias plus Salesforce, Freshdesk, LiveChat, Slack and Discord, and connects backend billing, CRM and internal systems so the agent takes real actions, with a worked example calling Stripe customer search, charge listing and refund creation before closing the ticket. Sourceusefini.com/product/integrationsread 2026-09-05 |
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| Workflow Orchestration | Full |
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A named orchestration layer with a documented decision and execution path. The LLM Supervisor is published as layer two of the architecture and is described as choosing the optimal path between retrieve, reason, reply and act, using conversation context, custom rules and tone instructions, and access to enterprise systems including CRM and order management. Beneath it, work routes to specialized skill modules: Search and Retrieve, Write Response, Follow Process running internal flows such as refunds, cancellations and verifications with automated rule enforcement, and Take Action triggering API calls into business systems with no human handoff required. Fini's own worked examples show the chain end to end, checking a refund policy, verifying a delivery timeline by API and initiating the refund in one pass. Sourceusefini.com/product/platformread 2026-09-05 |
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| Knowledge Grounding & RAG | Full |
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Knowledge Atlas is a named, vendor-maintained knowledge structure: it ingests the customer's knowledge base and historical tickets into a graph, scans resolved tickets to detect gaps against that graph, generates the missing article and commits the update, so the retrieval structure persists and repairs itself rather than being assembled per conversation. Answers are grounded in it, with the reasoning traced back to approved internal knowledge. Sourceusefini.com/knowledge-atlasread 2026-09-05 |
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| Human Oversight & Guardrails | Full |
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Guardrails are layer one of a published five-layer architecture, sitting ahead of the action rather than reviewing after it. A real-time safety check blocks harmful, off-topic and policy-violating content, masks personally identifiable information such as phone numbers and emails, and enforces company-specific rules including refund policy, with only safe valid queries moving forward. Inside the response module every generated reply is evaluated for accuracy, tone and safety before being sent, which Fini states as every answer being LLM-reviewed rather than only LLM-generated, and the Follow Process module enforces policy automatically on refunds, cancellations and verifications. A published case study names four implemented checks: Polite Language, Competitor, Topic escalation for complex cases such as refunds, and Truth Check verifying accuracy before responses reach customers, with output rails using LLM judges to flag, correct or escalate to a human. Sourceusefini.com/product/platformread 2026-09-05 |
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| Security, Identity & Governance | Full |
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A live SafeBase trust portal publishes GDPR, ISO/IEC 27001 and SOC 2 with the SOC 2 report, ISO certificate, penetration test report, DPA and cyber insurance obtainable on request, alongside named product controls covering audit logging, access monitoring, data erasure, credential management and password security, and a subprocessor list. PCI DSS Level 1 and HIPAA with BAA appear as homepage badges but are absent from the trust portal's certification list, and ISO 42001 is not shown on any Fini page. Sourcesecurity.usefini.comread 2026-09-05 |
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| Observability & Auditability | Full |
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Voice, chat and email run on one reasoning layer sharing the same policies and a single audit trail, and every answer is classified, confidence-scored and policy-checked with the result written to an audit log, so which policy governed a given reply is recoverable; the trust portal carries audit logging and access monitoring as named product controls. Audit log export, and any export format, is not documented. Sourceusefini.comread 2026-09-05 |
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| Memory & State Persistence | Not documented |
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The platform is published as five named layers: Guardrails, LLM Supervisor, Knowledge and Action Modules, Live Feedback and Evaluation, and a Traceability Layer. Not one is a memory layer, and the only state named is conversation context feeding the LLM Supervisor within a request, held for the session rather than across sessions. Past tickets are ingested as a knowledge source, and the adaptive learning loop trains on real-world interactions, which is learning absorbed into a model rather than state an agent retains. A Fini Labs blog post mentions policy-aware memory, but the architecture page lists the components and omits it, and the documentation at docs.usefini.com is gated. Sourceusefini.com/product/platformread 2026-09-05 |
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| Deployment & Data Residency | Not documented |
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There is no documented choice of where Fini runs. The trust portal names Google Cloud Platform as the infrastructure and documents backups and disaster recovery but no region selection, EU-only processing, VPC, single-tenant or on-premises option, and the product site and pricing page carry no residency commitment either. Sourcesecurity.usefini.comread 2026-09-05 |
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| Prebuilt Agents, Templates & Packs | Partial |
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One prebuilt agent, adopted as a unit, with no catalog behind it. Sophie ships as a single named agent covering high-volume support journeys out of the box, with published worked examples spanning refunds, duplicate charges, subscription cancellation and product questions, and the platform is marketed as production-ready from day one with self-learning ingestion of docs, tickets and knowledge base requiring no manual tagging, so time to value does not depend on the customer authoring flows. No template library, agent catalog or marketplace is documented, and the skill modules the agent routes to are internal architecture rather than assets a customer browses and selects. Sourceusefini.com/product/platformread 2026-09-05 |
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| Triggers & Channel Coverage | Full |
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One agent runs across voice, chat and email on the same reasoning and policies, with real-time voice handling bookings end to end and intake arriving through the connected helpdesk, Slack or Discord. The site states 130 plus supported languages. Sourceusefini.comread 2026-09-05 |
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| Model Flexibility & Routing | Not documented |
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One disclosed model provider, with no customer choice. The trust portal's subprocessor list names OpenAI as the only model provider, with Supabase, AWS, Microsoft Azure and Google Cloud appearing as infrastructure rather than models. No model selection, routing or bring-your-own-model option is documented. Sourcesecurity.usefini.comread 2026-09-05 |
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| APIs, SDKs & MCP Extensibility | Partial |
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A documented API for Fini's own platform exists, behind a customer gate. Fini publicly links Docs and an API Library from its site footer, pointing at docs.usefini.com and an authentication page under api-reference. The documentation site redirects to an access-code gate, so the surface is open only to customers and its scope is not public, and no SDK or MCP server is advertised. Sourcedocs.usefini.com/api-reference/authenticationread 2026-09-05 |
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| Testing, Debugging & Optimization | Partial |
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A live optimization loop is documented and a pre-release gate is not. Live Feedback and Evaluation ships as layer four of the architecture, auto-validating outputs, detecting errors and contradictions, and learning from corrections over time, with Automated QA described as built-in feedback and validation that improves accuracy without human review, and real-time conflict resolution spotting and fixing inconsistencies in the knowledge base. No customer-facing test environment, simulation harness or scored evaluation of a proposed change before it reaches customers is documented, and no readable comparable verdict is surfaced to the buyer; the published accuracy and resolution figures are vendor-reported. Every response is also LLM-reviewed for accuracy, tone and safety before sending. Sourceusefini.com/product/platformread 2026-09-05 |
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| Browser & Computer Use | Not documented |
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No browser control, hosted session or computer use appears anywhere on the site. Instead, the Take Action module triggers API calls into business systems, with Stripe and Zendesk named, and the Follow Process module runs internal flows through automated rule enforcement rather than by operating an interface. Sourceusefini.com/product/platformread 2026-09-05 |
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The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Pricing
Usage-based · from $0.69/resolution
resolutions
Included quota
Growth ($1,799/mo minimum): ~2,600 resolutions covered by the minimum at $0.69 each, agent actions (e.g., refunds via Stripe/Adyen), 20+ helpdesk/KB/CRM integrations, and PII Shield redaction. Free Starter is capped (~50 questions/mo, older model).
What is public
Fini (YC-backed; its agent is 'Sophie') uses resolution-based pricing. Published structure: a free Starter tier (severely limited — ~50 questions/mo, older model), then Growth at $0.69/resolution with a $1,799/mo minimum (the minimum covers ~2,600 resolutions), and custom Enterprise. There is no mid-tier between free and the $1,799 Growth floor.
Billing mechanics
Outcome-based: you pay $0.69 per AI-resolved ticket on Growth, billed against a $1,799/mo minimum (you pay the full minimum even at low volume). No per-seat fee for the AI agent — cost tracks resolutions, so as the resolution rate climbs, total spend rises. Enterprise is custom with the full compliance stack.
Cost watchouts
$1,799/mo Growth minimum regardless of volume, no mid-tier (steep free-to-Growth cliff), spend rises as resolution rate improves, headline 98% accuracy / 80%+ resolution claims rely on Fini's own data, Enterprise pricing custom
Variable cost rationale
Pure outcome-based above a high fixed minimum — spend scales directly with resolution volume, and the better the AI performs the more you pay, making budgets volume-sensitive
Additional watchouts
The $0.69 headline is real only at high volume — the $1,799/mo minimum dominates cost for smaller teams; outcome-based billing means cost grows with success
Overage / add-ons
Above the minimum, every resolution bills at $0.69; below it you still pay the full $1,799 (so the effective per-resolution cost is far higher at low volume — e.g., ~$3.60 at 500 tickets/mo).
Sales call required
Mixed (some tiers require a call)
Lowest paid plan
~$0.69/resolution
Commercial notes
YC-backed; the agent takes actions such as refunds via Stripe or Adyen; reasoning-first architecture; the vendor claims 98% accuracy, zero hallucinations and 2M+ queries processed.
Key ambiguities
How 'resolution' is defined/counted drives the bill; the $1,799 minimum and exact Enterprise terms aren't always prominent on the official site; performance claims are vendor-reported
Cancellation / refund
Growth carries a $1,799/mo minimum commitment; Enterprise terms negotiated; refund/cancellation terms not publicly detailed
Support SLA / resale
Enterprise adds SLA-grade compliance (SOC 2 Type II, ISO 27001/42001, GDPR, PCI-DSS Level 1, HIPAA), always-on PII Shield, and white-glove onboarding (~48-hour deployment)
Missing data
Exact Enterprise pricing, the resolution-counting definition and any volume discounts are not fully public; the $1,799 monthly minimum is the key cost fact often left out of the headline $0.69 per resolution rate.
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Alternatives to Fini
The closest documented capability profiles to Fini among customer support agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- SleekFlow9.0 / 14Adds documented Memory & State Persistence
- KODIF9.0 / 14Adds documented Memory & State Persistence and Deployment & Data Residency
- Assembled8.5 / 14Fuller documented coverage on Prebuilt Agents, Templates & Packs and APIs, SDKs & MCP Extensibility
- Cendra7.5 / 14Adds documented Memory & State Persistence
- Cresta10.5 / 14Adds documented Memory & State Persistence and Model Flexibility & Routing
- Glia10.5 / 14Adds documented Memory & State Persistence and Deployment & Data Residency
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded