Fini

Fini is an accuracy-first AI agent built for enterprise customer support in regulated industries. Where generic AI tools hallucinate, drift from policy, or expose companies to compliance risk, Fini is designed from the ground up to get it right every time, across voice, email, and chat.

Most AI support tools are built for speed. Fini is built for accuracy. That distinction matters when you're operating in banking, fintech, healthcare, or insurance, where a wrong answer isn't just a bad experience, it's a liability. Fini doesn't just answer tickets. It learns directly from your real support data, understands context and emotion, and takes precise actions to resolve the majority of your support volume. When escalation is needed, it hands off to your team with full conversation and action history intact, so no customer is left behind.

What Fini Does

Fini deploys an AI agent trained on your knowledge base, policies, and workflows. It handles queries end-to-end across voice, email, and chat, and escalates only when it should. It doesn't just reply. It acts. Complex, high-stakes workflows including failed payment handling, KYC updates, refunds, account changes, and dispute resolution are executed directly inside your helpdesk, without a human in the loop.

At the core is the Fini Agent Loop: a closed-cycle system that understands intent, plans and routes, fetches policies and business rules, executes deterministic agentic tasks, and continuously learns and improves from every interaction.

Fini is powered by a proprietary RAGless Retrieval Engine, a breakthrough architecture purpose-built for support automation. Every layer is optimized for precision, speed, security, and reliability, allowing Fini to autonomously resolve more conversations, across more channels, than competing AI agents.

A key part of the infrastructure is Knowledge Atlas, Fini's self-evolving knowledge base. It reduces manual documentation work by 90%, keeping the agent accurate as your policies, products, and procedures change. This directly addresses one of the most persistent failure modes in AI support: outdated knowledge leading to wrong answers.

End-to-End Workspace

Fini comes with a secure, no-code workspace designed for continuous quality improvement across four capabilities. Analyze: instantly surface deep insights and AI-powered suggestions to maximize performance and spot new automation opportunities. Train: simple, no-code tools to configure knowledge, workflows, tone, and actions, continuously adapting from real ticket data. Test: a full-featured testing suite to evaluate and ensure answer quality before and after going live. Deploy: launch across all customer service channels and helpdesks including Zendesk, Intercom, Salesforce, HubSpot, and more.

Built for Regulated Industries

Fini is SOC 2 certified, ISO 27001 compliant, GDPR-ready, and HIPAA-native. Data is encrypted in transit and at rest. Customer data is never used to train shared models. PII is masked and redacted according to configurable policies. Zero long-term storage of conversation content. Regional hosting and VPC options are available for enterprises with specific data residency requirements. Every response passes through a multi-layer guardrail pipeline before it reaches a customer, with reasoning logged for full audit trails.

This isn't compliance bolted on after the fact. It's the foundation.

Results at Scale

Fini has resolved over 10 million tickets autonomously. Customers see roughly 80% of tickets resolved without human intervention, a 12% average CSAT lift, and 50% reduction in support costs. First response time drops below 5 seconds. These are outcomes from production deployments across banking, neobanking, fintech, insurance, and digital health, not projections.

Fini goes live progressively, starting with 30% of customer traffic in the first two weeks, reaching full deployment by week six, with a clear 60-day roadmap to 80% resolution rate and defined success metrics from day one.

Why Generic AI Fails Here

Off-the-shelf AI caps automation at around 40%, leaves reasoning untraceable, and requires constant manual effort to keep knowledge current. It's built for general use cases, not for environments where compliance is non-negotiable and every interaction carries real regulatory weight. It looks like AI in a demo and behaves like a liability in production.

Fini is the alternative: fully auditable, continuously self-improving, omnichannel by default, and accurate enough to operate in the most demanding support environments in the world.