Cresta AI Agent

What it does

Cresta AI Agent is an enterprise platform for building, configuring, and running AI agents that handle customer conversations. It draws on customer history, preferences, and historical conversation data to suggest topics for automation and to generate synthetic customers for testing. The resulting agents are always-on, carry context across channels, call connected systems such as CRM, billing, and scheduling, and hand conversations off to human agents.

Teams work through a lifecycle covering discovery, building, testing, deployment, and optimization. Conductor, a natural-language engine, helps developers build and test agents from product requirements and business context. Testing can combine LLM judges that grade responses against documented standards with simulated visitor tests, and live traffic can be compared between agent versions through A/B experiments. Supervisory guardrails and the Agent Operations Center let staff monitor live conversations and step in when needed.

The product is aimed at contact center and customer experience teams at larger organizations that already have substantial conversation data and want a governed rollout. Access starts with a demo request on the product page. Grounding and testing depend on having significant historical conversation data, and the full enterprise lifecycle may be more than smaller teams need. The platform is described as serving customers in 30+ languages.

What it can do

• Build and configure AI agents with customizable brand voice across 30+ languages
• Connect agents to CRM, billing, and scheduling systems via secure function calling and MCP support
• Carry shared customer memory across channels and handoffs between human and AI agents
• Derive topic blueprints and synthetic customers from historical conversations for testing
• Run LLM-judge and deterministic evaluations, plus controlled A/B experiments on live traffic
• Monitor and steer live conversations through the Agent Operations Center with guardrails

Works with

• CRM systems
• Billing systems
• Scheduling systems
• MCP (Model Context Protocol)

Example workflows

Identify high-impact automation topics

Input: historical customer conversations. Steps: evaluate topics by frequency, complexity, and resolution outcomes; prioritize deployment candidates. Output: a data-backed blueprint roadmap for AI agent deployment.

Test an agent before launch

Input: a new agent version and synthetic customers derived from conversation data. Steps: run simulated visitor tests and evaluations; compare against the current version. Output: auditable before-and-after results informing the release decision.

Before you choose

• Grounding and testing depend on the volume and quality of your existing conversation data
• Connections to business systems require secure function calling or MCP configuration
• Pricing is not listed publicly; contact sales for plan and trial details

Listed under

• Support
• Chat and email agents
• Voice and phone agents
• AI agent
• Automation
• Contact center
• Conversational AI
• Customer experience
• Customer service

Get started

Request a demo from the product page.

1. Provide historical conversation data so topics and synthetic customers can be derived
2. Connect agents to CRM, billing, or scheduling systems via function calling or MCP
3. Define brand voice and documented evaluation standards for LLM judges

Plan, pricing, and trial terms are not published; confirm directly with sales.

We couldn’t find published prices for Cresta AI Agent. See their pricing page ↗

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

• Cresta AI Agent | The AI Agent Customers Love ↗cresta.com
• Welcome to Cresta help | Cresta Help ↗docs.cresta.com

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cresta.com: product, pricing and policy pages

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knowledge_base

Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.