EloquentAI

An Eloquent Operator works inside the software you already run, from CRMs to payment systems, the same way a human agent would. It doesn't wait for an API integration or an IT project. The company says you can connect a tool like Intercom or Zendesk to real actions in days rather than months, which is the difference between a support bot and something that actually closes a case. That matters most for teams with an integration backlog they can't clear.

Fixer is the flagship agent for customer service, built to resolve issues rather than hand them off. Eloquent says it independently solves up to 96% of customer problems, and it updates CRMs, processes refunds, and manages returns under enterprise-grade security. A self-healing engine reruns simulations before launch and adjusts as it runs, so the agent isn't a fixed script you have to babysit. The gap the product targets is real: many support agents handle only a slice of cases and pass the rest to a person.

Closer turns inbound inquiries into qualified opportunities. It engages prospects across channels, answers product questions, works through objections, and books meetings in real time. For SaaS and financial products where a fast reply decides whether a lead converts, an agent that never drops a thread changes the math. It runs on the same Operator stack, so sales and service can share one deployment.

Every decision can be scored before a customer sees it. Eloquent's Evals Framework tests the agent's output for accuracy and regulatory alignment, while Oratio Fin, a dedicated model, is built for decisions you can audit. In industries where a wrong answer carries legal weight, a scoring layer between the model and the customer is the feature that lets compliance say yes. It's also what separates an enterprise deployment from a general-purpose chatbot.

One Operator covers text chat, email, and voice, and conversations keep their context as a customer moves between them. If someone starts in chat and follows up by email, the agent knows the history. It works across languages too, which matters for banks and insurers serving customers in several markets from one support organization. The goal is a single consistent experience rather than a different bot per channel.

Bespoke guardrails keep the agent on topic and inside your policies, and real-time monitoring lets a team watch live interactions. Every action leaves an audit trail, so decisions can be reviewed later. Eloquent states that your data stays yours and is never used to train its models, with encryption for personal data in transit and at rest and customizable redaction. For regulated buyers, the control over deployment, including private cloud and on-premises options, is often the deciding factor.