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Fini

Fini Technologies · Fini: Autonomous AI Support Agent for Fintech and Regulated Teams Across Chat, Email and Voice, With Agent Handshake

Open Fini

Fini is an autonomous AI customer support agent that resolves tickets across chat, email and voice on top of the help desk you already use (Zendesk, Intercom, Salesforce Service Cloud, HubSpot, Gorgias, Front and others), taking actions such as refunds and account changes through deterministic rule workflows. It is built for fintech, banking, insurance and healthcare teams that need audit trails and policy-bound answers, and its Agent Handshake capability handles requests sent by customers' personal AI agents.

PricingPaid
Setupmedium
Runs onWeb · API
APIYes
Open sourceNo
DocsYes
Customer SupportAI AgentAutonomous AgentHelp DeskFintechComplianceHIPAAVoice AIEmailChatKnowledge BaseWorkflow AutomationHuman-in-the-LoopMultilingualZendeskIntercom

Best for

Support and operations teams at fintechs, banks, insurers and healthcare companies on Zendesk, Intercom, Salesforce, HubSpot or Gorgias that want an autonomous agent taking real account actions under written rules, with audit trails, compliance attestations and a plan for traffic from customers' personal AI agents

Not ideal for

Teams that need native WhatsApp or SMS channels, outbound calling, self-hosted deployment, a free or self-serve plan, or a full help desk replacement rather than an AI layer on top of one

Who it's for

CX, support operations and compliance teams at fintechs, banks, insurers, healthcare and other regulated companies, from growth-stage startups to enterprises

Capabilities

  • Runs on top of an existing help desk as the first AI layer, with documented setups for Zendesk, Intercom, Front, Gorgias, HubSpot, Microsoft 365 shared mailboxes, LiveChat, Slack and Salesforce Service Cloud email cases; tickets, queues and human agents stay where they are
  • Own channels when you need them: an embeddable chat widget for web, in-app and mobile, a Fini-hosted email channel, an AI help center, Facebook Page comments and Messenger, and inbound voice
  • Inbound voice agent that shares knowledge, rules and the Inbox with chat and email; port an existing number, forward calls or connect over SIP, with live transfer or a ticket on escalation
  • Rulebook intent rules: deterministic behavior-tree workflows whose Tool nodes call your APIs to look up records and take actions such as refunds, cancellations, account changes and dispute intake
  • Attributes that pull live customer context from your systems before replying, plus MCP connections and HTTPS endpoints in front of data warehouses
  • Answers only from approved Articles in a curated knowledge graph (no chunking or embeddings), with Sources from help centers, files, Google Drive, Notion, Confluence and Zendesk Help Center flowing through a Review queue
  • Self-maintaining knowledge: a background pass detects gaps and conflicts in live conversations and drafts fixes that land in Review, and Magic Articles turn transcripts or notes into help articles
  • Guardrails that check every reply for banned terms, fields you mark confidential, links outside an allowlist and plain-language rules, then rewrite the reply or escalate
  • Agent Handshake for customers' personal AI agents: same decision however a request is worded, tags likely agent-driven conversations in the Inbox, stops repeating a final answer, and routes money-moving or out-of-policy requests to the customer or a human
  • AI Steps trace on every reply (planning, attributes loaded, rule executed, knowledge used, tags and guardrail verdicts), shadow mode that posts internal notes only, and a Test Suite for regression checks
  • Analytics on AI resolution rate, deflection, escalation reasons, CSAT and sentiment by agent, intent and rule
  • Public REST API for agents, prompts, actions, guardrails, tags and analytics, plus a skills package and Claude plugin for managing Fini from AI coding agents
  • Automatic masking of card numbers and health details in stored transcripts and traces; US or EU data residency; Azure deployment through Microsoft Marketplace

Limitations

  • No self-serve sign-up: every plan starts through Fini's sales team, rollout is guided by Fini (live in about 14 days, fully autonomous in about 30 by Fini's own timeline), and agentic workflows depend on you exposing APIs for the actions and customer data Fini needs
  • Agent Handshake is switched on per account by booking a call, and personal-agent detection is based on message patterns and request speed, so the tag marks a likely agent rather than a verified one
  • WhatsApp and SMS are not among the documented channels, and the voice documentation covers inbound phone support only
  • Freshdesk, Kustomer, ServiceNow and Zoho Desk appear on the integrations list but have no dedicated setup guides in the docs, and the Salesforce guide covers Service Cloud email cases
  • The pricing page lists per-resolution rates and monthly ticket allowances but not a separate committed plan amount; the 90-day free pilot is Enterprise-only, and the money-back guarantee applies to new enterprise customers with over 1M annual tickets
  • Fini does not say which LLMs answer a given reply; its subprocessor list includes Google (Gemini), OpenAI and Anthropic
  • No on-premises or self-hosted deployment is documented; hosting is Google Cloud (US or EU), with an Azure option through Microsoft Marketplace

Use cases

  • Resolving card, payment, refund and billing questions for a fintech on Intercom or Zendesk, with Fini checking live account data and policy before acting
  • Handling dispute and fraud-claim intake, KYC status questions and MFA or password resets with escalation to a human for anything outside policy
  • Answering a refund request from a customer's personal AI agent the same way however many times it is reworded, and offering what the policy allows instead
  • Taking inbound support calls on an existing number with the same rules and knowledge as chat and email, and transferring to a phone queue when needed
  • Running a new agent in shadow mode on real tickets, reviewing the AI Steps trace in Inbox and adding Test Suite cases before switching to direct replies
  • Keeping a help center current by turning resolved conversations into draft articles that a reviewer approves

Our take

Fini's case rests on predictability. Decisions that move money come from written rules, live account data and deterministic workflows rather than from whatever passage a search returns, and every reply leaves a trace an auditor can follow. That matters most for fintech, insurance and healthcare teams, and it is also the logic behind Agent Handshake: a personal agent that rewords a refund request fifty times should hit the same rule each time. Treat Agent Handshake as young, though. It launched in October 2026, detection is behavioral, and the real test is a pilot with your own refund and cancellation policies, which Fini itself recommends. The 90% resolution at 99% accuracy figure is Fini's stated benchmark, not a guarantee, and results depend on how well your rules and APIs are prepared. Check channel coverage early: teams that rely on WhatsApp, SMS or outbound calls will need something else alongside it.

Who should use it

Support leaders at fintechs, banks, insurers and healthcare companies who already run Zendesk, Intercom, Salesforce, HubSpot or Gorgias, want an autonomous agent that takes real account actions under written policy with an audit trail, and expect customers' AI agents to start contacting support.

Who should skip it

Teams whose customers mainly use WhatsApp or SMS, contact centers that need outbound calling, organizations that require on-premises deployment, and small teams looking for a free self-serve chatbot.

Strengths

  • Runs inside the help desk you already use, so tickets, queues and human agents stay where they are
  • Actions run through deterministic Rulebook workflows, and every reply has an AI Steps trace, which suits audits in regulated support
  • Knowledge changes, including AI-drafted fixes, go through a Review queue before reaching customers
  • Agent Handshake addresses personal AI agents that reword requests, with confidential-field guardrails and owner or human approval for exceptions
  • Published per-resolution pricing with no per-seat fees and free escalations, plus a published voice rate card
  • Broad stated compliance coverage: SOC 2 Type II, ISO 27001:2022, PCI DSS Level 1, HIPAA (BAA-eligible), GDPR and CCPA, with US or EU residency

Weaknesses

  • No WhatsApp or SMS channel is documented, and voice covers inbound calls only
  • Agent Handshake requires a call to switch on, and agent detection is behavioral rather than verified
  • Several listed help desk integrations lack setup documentation
  • The models behind replies are not disclosed
  • No self-serve sign-up, and the free pilot and money-back guarantee are limited to Enterprise and large-volume customers

Fini pricing

Growth

$0.89 per resolved ticket

Billed monthly

  • Up to 3,000 tickets included each month
  • Whole platform with implementation included
  • Voice AI at the standard rate card
  • Shared customer success and priority email support

Scale

$0.69 per resolved ticket

Billed monthly

  • Up to 10,000 tickets included each month
  • White-glove onboarding and a dedicated AI engineer
  • Slack agent, SSO and multi-language support
  • Custom API actions, outbound webhooks and nightly Knowledge Atlas scan

Enterprise

$0.49 per resolved ticket

  • Unlimited tickets; contact sales
  • 90-day free pilot on live traffic
  • Dedicated engineer pod with 15-minute SLA and uptime SLA
  • Custom help desk integration, admin and audit logs, data residency and BAA/DPA

Voice

$0.89 per answered call (first 10,000/month)

  • $0.59 per call from 10,001 to 50,000 and $0.35 above 50,000
  • Per-minute alternative: $0.22, $0.18 and $0.14
  • Includes speech recognition, reasoning, voice synthesis and telephony

Free tier limits: No free plan. Enterprise customers can run a 90-day free pilot on live traffic.

Note: A resolution counts only when Fini solves the issue end to end with no human handover; escalations, greetings, spam and abandoned sessions are not billed. Usage past the monthly allowance is billed at the plan's per-resolution rate, and unused allowance rolls forward one month. Per-conversation pricing is available on request. Plans are billed in advance (annual, quarterly or monthly), with discounts for two- and three-year terms. There are no per-seat fees. The pricing page lists data residency and BAA/DPA terms among Enterprise extras, while Fini's docs say the BAA is available on every plan and US or EU residency is customer-designated, so confirm these terms for your plan. A 90-Day Money-Back Guarantee applies to eligible new enterprise customers with over 1M annual tickets.

Technical specs

Modalities

Text, Voice

Where Fini excels

Fintech card and payments support

Fini checks live account data and policy before answering charge, refund and card questions, takes approved actions through your APIs, and leaves an AI Steps trace for compliance review.

Personal AI agents asking for refunds

Agent Handshake gives a refund request the same decision however an agent rewords it, keeps confidential fields out of replies, and sends exceptions to the account owner or a human to approve.

One agent across chat, email and phone

The same knowledge, rules and Inbox serve the widget, help desk email and inbound calls, so policy changes apply everywhere at once.

Safe rollout on live traffic

Shadow mode posts internal notes only while the team reviews traces and builds Test Suite cases, before switching the agent to direct replies.

Fini vs. competitors

Fini vs. Fin

Fin, now part of Salesforce, also runs on top of Intercom and other help desks, charges per outcome ($0.99) and has a 14-day free trial; it answers from help center content and past conversations and can take actions through procedures and data connectors. Fini is sales-led and focuses on regulated industries, with deterministic Rulebook workflows for account actions, reviewed Articles without embeddings, an AI Steps trace per reply, and Agent Handshake for personal AI agents.

Fini vs. Zendesk AI Agents

Zendesk's native AI Agents are built into the Zendesk platform and require it, with usage included in Zendesk plans. Fini can run inside Zendesk too, but it is a separate layer that also works with Intercom, Salesforce, HubSpot, Gorgias and others, and it emphasizes rule-based decisions and compliance controls for regulated support.

Fini vs. Decagon

Decagon is an enterprise support platform with natural-language Agent Operating Procedures across chat, voice, email and SMS, sold through sales without public pricing. Fini publishes per-resolution and voice rates, runs on top of existing help desks, and targets fintech and other regulated industries, but SMS is not among its documented channels.

Fini vs. Sierra

Sierra is a customer-facing agent platform for large consumer brands that is not attached to a ticketing system, with outcome-based pricing through sales. Fini works as an AI layer inside the help desk a team already uses and publishes its per-resolution rates.

Fini vs. Ada

Ada is a standalone AI customer service platform covering web, mobile, email, voice, SMS and social messaging. Fini has fewer documented messaging channels but centers on regulated industries, deterministic workflows, reviewed knowledge and per-reply audit traces.

Frequently asked questions

What does Fini do?

Fini is an AI agent for customer support that resolves tickets across chat, email and voice. It runs on top of your help desk or on its own widget, email and phone channels, answers from approved knowledge, pulls live customer data, takes actions such as refunds or account changes through rule-based workflows that call your APIs, and escalates to your team with the full context when it should. It is built for regulated industries such as fintech, banking, insurance and healthcare.

What is Fini Agent Handshake?

Agent Handshake is how Fini handles customers' personal AI agents, such as Meta's Muse, Google's Call for Me and OpenAI's Dots, when they contact support. Fini decides from the request's intent, the customer's account data and your written rules, so rewording a request does not change the decision. Guardrails check every reply for confidential details, Fini tags conversations that look agent-driven, stops repeating a final answer, and sends refunds, credits or exceptions to the customer or a human to approve. It was announced on October 27, 2026, is switched on per account, and has no separate price.

How much does Fini cost?

Fini prices per resolved ticket: Growth is $0.89 per resolution with up to 3,000 tickets included a month, Scale is $0.69 with up to 10,000, and Enterprise is $0.49 with unlimited tickets. All plans start through Fini's sales team; there is no self-serve sign-up or free plan. A resolution counts only when Fini solves the issue with no human handover; escalations are free, and there are no per-seat fees. Voice is billed per answered call, from $0.89 for the first 10,000 calls a month down to $0.35 above 50,000, or per minute. Per-conversation pricing is available on request, and Enterprise customers can run a 90-day free pilot.

Which help desks does Fini work with?

Fini's docs have setup guides for Zendesk, Intercom, Front, Gorgias, HubSpot, Microsoft 365 shared mailboxes, LiveChat, Slack and Salesforce Service Cloud (email cases). Its integrations page also lists Freshdesk, Kustomer, ServiceNow, Zoho Desk, Discord, Shopify, Stripe and Recurly, plus custom integrations through its API. You do not have to replace your help desk to use it.

Is Fini secure and compliant for fintech or healthcare?

Fini states that it is SOC 2 Type II compliant, ISO/IEC 27001:2022 certified, PCI DSS Level 1 certified, HIPAA-compliant with a BAA available on every plan, and supports GDPR and CCPA. Data is encrypted at rest and in transit, stored in a US or EU region of your choice, sensitive data such as card numbers is masked in stored transcripts, and customer data is not used to train foundation models. Its Trust Center lists SOC 2, ISO 27001 and GDPR documentation, including a pen-test report on request.

Does Fini work on phone support?

Yes. Fini runs as a voice agent on inbound phone support using the same knowledge, rules and Inbox as chat and email. You can port an existing number, forward calls or connect over SIP, and escalation is a live transfer to your phone queue or a ticket, with the transcript handed over. Outbound calling is not documented.

Fini vs Intercom Fin: what is the difference?

Both are AI support agents that run on top of help desks and charge per outcome rather than per seat. Fin, now part of Salesforce, answers from help center content, past conversations and custom answers, can take actions through procedures, Data Connectors and MCP, and offers a 14-day free trial at $0.99 per outcome. Fini is sales-led and aimed at regulated industries: it routes account actions through deterministic Rulebook workflows, answers only from reviewed Articles without embeddings, exposes an AI Steps trace for every reply, and adds Agent Handshake for personal AI agents. Fini's published rates run from $0.89 down to $0.49 per resolution depending on plan.

Integrations & fit

ZendeskIntercomSalesforce Service CloudHubSpotGorgiasFrontLiveChatFreshdeskMicrosoft 365SlackDiscordFacebookShopifyStripeKustomerRecurlyZoho DeskServiceNowConfluenceNotionGoogle DriveDocument360OktaMCP
Good fit forStartup / small team, Enterprise
Pricing modelPaid· Paid subscription required
See pricing on Fini →

Alternatives to consider

About Fini

Fini sits as an AI layer between customers and a support team. It connects to an existing help desk by OAuth (Zendesk, Intercom, HubSpot, Gorgias, Front, LiveChat, Microsoft 365 shared mailboxes, and Salesforce Service Cloud email cases have dedicated setup guides) or runs on its own channels: an embeddable chat widget for web, in-app and mobile, a Fini-hosted email channel, an AI help center, Slack, Facebook Pages and Messenger, and inbound phone calls. Each message passes through Reply Rules, a planning step, customer Attributes pulled live from your systems, then either a deterministic Rulebook workflow (behavior trees whose Tool nodes call your APIs, so the same inputs take the same path every time) or an answer from approved Articles, and finally Guardrails that check the reply for banned terms, confidential fields, unapproved links and plain-language rules. Fini does not chunk documents or use embeddings; it reasons over a curated knowledge graph that content only enters after review, and a background pass drafts fixes for knowledge gaps and conflicts that still need human approval before publishing. Every reply gets an AI Steps trace showing the rule that ran, the knowledge used and the guardrail verdicts, and a Test Suite and shadow mode (internal notes only) let teams check changes before customers see them. The newest capability, Agent Handshake (announced October 27, 2026), targets a new kind of traffic: personal AI agents such as Meta's Muse, Google's Call for Me and OpenAI's Dots contacting support for their owners and rewording a refund request until the answer changes. Because Fini decides from intent, account data and written rules rather than document search, it aims to give the same decision however the request is worded, flags conversations that look agent-driven, stops repeating a final answer, and lets you require customer or human approval for anything that moves money. The company states SOC 2 Type II, ISO 27001:2022, PCI DSS Level 1, HIPAA (BAA-eligible), GDPR and CCPA, US or EU data residency, and no training of foundation models on customer data. Pricing is published per resolved ticket ($0.89, $0.69 or $0.49 depending on plan), with voice billed per answered call. The tradeoffs: every plan starts through Fini's sales team rather than self-serve sign-up and rollout takes roughly 30 days by Fini's own timeline, Agent Handshake is switched on per account through a call, personal-agent detection is behavioral rather than verified, WhatsApp and SMS are not among the documented channels, and Fini does not say which LLMs answer a given reply.

Updates from Fini

New FeatureFini launches Agent Handshake for personal AI agents

Fini announced Agent Handshake, the part of its support agent that handles customers' personal AI agents such as Meta's Muse, Google's Call for Me and OpenAI's Dots. It gives the same decision however a request is worded by deciding from intent, live account data and written rules, checks every reply with Guardrails, tags likely agent conversations in the Inbox, stops once an answer is final, and lets teams require customer or human approval for money-moving actions. It is switched on per account and has no separate price.

LaunchFini introduces Scout, an AI coworker for support teams in Slack

Fini launched Scout, a separate Slack-based product that reads tickets, chats, reviews and internal sources to find recurring issues and draft fixes such as articles and tickets for support teams. It does not talk to customers, and changes wait for a named person to approve them.

IntegrationFini becomes available in the Microsoft Marketplace

Fini was listed on the Microsoft commercial marketplace, adding an Azure-hosted deployment option for regulated customers alongside its default Google Cloud hosting.

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