# Eloquent AI

> Banks, insurers and fintechs use Eloquent AI Operators to resolve operational requests end to end, inside their existing systems, with every action audited.

Eloquent AI builds AI Operators for financial services. An Operator reads an incoming request (email, chat or ticket), follows the step-by-step procedure (ESOP) the institution approved, works inside the systems the team already uses (core banking, CRM, identity and case tools, with no new APIs), and logs every action with the evidence behind it. Anything outside policy goes to the right person.

Customers include Cleo, Mercury, Bumper, Rho, Vouch, Plum, OakNorth, T. Rowe Price, Ramp, Next Insurance, Gusto, Mesh.

Security and compliance: SOC 2 Type II, ISO 27001, GDPR Compliant, Zero Data Retention, PII Masking, Enterprise Deployment.

## Platform

- [Platform overview](https://eloquentai.co/platform): How AI Operators resolve requests across your systems.
- ESOPs: Teach Operators your procedures, step by step.
- Simulate: Replay real history before anything goes live.
- Deploy: Roll out gradually, with an approval at every stage.
- Monitor: Every action logged, with the evidence behind it.
- Integrations: Work inside core banking, CRM, email and more.

## Industries

- Banking: Servicing, disputes and account maintenance across core banking and CRM.
- Insurance: Claims intake, policy changes and renewals, each with an audit trail.
- Fintech: Scale operations with volume, without scaling headcount alongside it.
- Lending: Originations, servicing and collections with policy kept in the loop.
- Cross-border payments: FX, exceptions and reconciliation resolved across rails and corridors.
- Prediction markets: Settlement, disputes and market operations with full auditability.

## Articles

- [When the Stakes Are High: A 7-Step Guide to Safely Deploying AI in Critical Operations](https://eloquentai.co/resources/a-7-step-guide-to-safely-deploying-ai-in-critical-operations): A seven-step framework for moving AI from sandbox tests to controlled autonomy in payments and other high-stakes financial workflows, without losing control.
- [The Future of Fintech Support: How AI Operators Are Redefining Customer Service](https://eloquentai.co/resources/the-future-of-fintech-support-how-ai-operators-are-redefining-customer-service): Unlike chatbots, AI Operators take real action in fintech support: resolving issues, personalising service and scaling securely without API integrations.
- [AI Operators for Insurance: Transforming Customer Experience](https://eloquentai.co/resources/ai-operators-for-insurance-transforming-customer-experience): How AI Operators automate complex insurance work, improve customer experience and cut operational costs without integrations or engineering effort.
- [Transforming Banking CX with Contextual Compliance: Eloquent AI's Intelligent Operators Set a New Standard](https://eloquentai.co/resources/intelligent-operators): How AI Operators built for financial services deliver 24/7, compliant, context-aware banking support that cuts costs and resolves issues faster.
- [Self-Healing AI Agents: The Future of Enterprise Automation](https://eloquentai.co/resources/self-healing-ai-agents-the-future-of-enterprise-automation): How self-healing AI agents use simulations, evals and reinforcement learning to reduce deployment risk and keep improving after launch.
- [Pay for Success: How Outcome-Based Pricing is Revolutionizing Customer Support](https://eloquentai.co/resources/pay-for-success-how-outcome-based-pricing-is-revolutionizing-customer-support): Outcome-based pricing means paying only for results. How the Pay for Success model works and why it is changing how customer support software is bought.
- [Deploying and Scaling Enterprise AI Agents](https://eloquentai.co/resources/deploying-and-scaling-enterprise-ai-agents): Why most enterprise AI agent projects stall before full deployment, and how to overcome the barriers, drawn from deployments in regulated industries.
- [Why InfoSec Teams Don't Trust Most AI Automation And How Eloquent AI Was Built Differently](https://eloquentai.co/resources/why-security-teams-dont-trust-most-ai-automation-and-how-eloquent-ai-was-built-differently): Why security teams are wary of AI automation in regulated environments, and how Eloquent AI Operators are built for access control, explainability and audit.

## Company

- [Request a demo](https://eloquentai.co/request-a-demo): Talk to the team about automating your operations.
- [Careers](https://eloquentai.co/careers): Open roles in San Francisco and London.
- [Privacy Policy](https://eloquentai.co/legal/privacy): How personal data is handled.
- [Data Processing Addendum](https://eloquentai.co/legal/dpa): How customer data is processed and protected.

## Optional

- [Full text of all articles](https://eloquentai.co/llms-full.txt): Every article on the blog as Markdown.