Cresta

Cresta is an enterprise artificial intelligence platform designed to improve customer experience operations by bringing human agents and AI agents together in one system. Founded in 2017 by a team emerging from Stanford’s AI Lab, the company focuses on helping large organisations improve customer conversations, increase employee productivity, automate repetitive work, and gain useful insights from customer interactions.

The platform brings together four main products: Cresta AI Agent, Agentic Assist, Deputy Agent, and Conversation Intelligence. These products support different stages of customer experience, from handling customer enquiries to assisting employees during live conversations, completing follow-up workflows, and analysing interactions to identify areas for improvement.

Cresta AI Agent provides autonomous customer-facing agents that handle conversations across voice and digital channels. These agents can support customers with questions and service requests while following business rules and safeguards. The platform is designed to help organisations automate suitable interactions without losing control over the customer experience.

Agentic Assist, previously known as Agent Assist, supports human customer service and sales representatives during live interactions. It can provide real-time guidance, surface relevant knowledge, recommend next steps, suggest replies, and generate conversation summaries. Its tools include Knowledge Agent, behavioural guidance, guided workflows, and real-time translation. The aim is to help employees respond more accurately and consistently while reducing the time spent searching for information.

Deputy Agent extends automation beyond the customer conversation itself. It is designed to complete multi-step operational workflows, including tasks such as refund processing, payment adjustments, complaint intake, and case handling. It can work across business systems, maintain workflow context, pause when approvals are required, and resume when the necessary conditions are met. This allows organisations to automate work that may otherwise require several employees or separate software tools.

Conversation Intelligence helps managers and business leaders understand what happens across customer interactions. It analyses conversations to identify recurring issues, customer needs, performance patterns, and opportunities to improve service or sales outcomes. These insights can support quality management, coaching, employee development, and business decision-making.

Cresta’s platform is powered by Cresta Opera, its AI orchestration engine. Opera provides tools for building and managing AI agents, designing workflows, fine-tuning models, testing performance, and deploying automation. The platform also uses models customised with an organisation’s own data, alongside testing processes and safeguards intended to improve accuracy and reliability.

Cresta is primarily designed for large organisations with complex customer-facing operations, particularly businesses that manage high volumes of customer calls and digital interactions. Its solutions are relevant to financial services, insurance, healthcare, telecommunications, retail, travel, hospitality, automotive, and home services. It also integrates with existing contact-centre, CRM, telephony, and knowledge-management systems, allowing businesses to introduce AI without necessarily replacing their existing infrastructure.

The platform is best suited to enterprises looking for a connected approach to customer service automation, employee assistance, workflow execution, and conversation analytics rather than a standalone chatbot or basic customer-support tool.

Pricing

Cresta uses custom enterprise pricing rather than publicly advertised fixed subscription plans. The cost depends on the products selected, deployment requirements, number of agents, conversation volume, supported channels, workflow complexity, and language requirements.

Businesses interested in the platform must contact Cresta’s sales team to discuss their requirements and request a tailored demonstration or proposal. Cresta does not provide a publicly listed self-service pricing tier on its main website.

Review

Cresta offers a comprehensive platform for organisations seeking to improve customer experience through AI-powered automation and employee assistance. Its main advantage is the way it combines customer-facing AI agents, real-time employee support, workflow automation, and conversation analytics within one platform. This gives businesses the ability to manage several parts of their customer experience operations without relying entirely on separate tools.

Agentic Assist is particularly useful for customer service and sales teams because it provides guidance while conversations are taking place. Its knowledge suggestions, recommended responses, and automated summaries can help employees work more efficiently and maintain consistent service standards. Conversation Intelligence also adds value by helping managers examine interactions, identify performance gaps, and make more informed coaching decisions.

Deputy Agent expands the platform beyond conversation handling by supporting multi-step workflows that continue across systems and business processes. This makes Cresta relevant to organisations that want to automate operational tasks as well as customer communications.

However, Cresta is primarily an enterprise solution, which means it may not be suitable for individuals, small businesses, or organisations looking for an inexpensive customer-support application. Its custom pricing also makes it difficult for potential customers to estimate costs without speaking to the sales team. Implementation may require technical planning, integration work, staff training, and ongoing management.

Cresta is a strong option for large customer-facing organisations that need a unified system for AI agents, employee assistance, workflow automation, and customer interaction analysis. Its breadth of functionality is a major advantage, although the enterprise-focused purchasing model and deployment requirements may be barriers for smaller teams.