Cresta

Overview

Cresta is an AI-powered contact center intelligence platform that combines large language models (LLMs), generative AI, and conversational analytics to help customer experience teams accelerate performance and reduce operational cost. It works by continuously analyzing live customer interactions—across voice, chat, and digital channels—and transforming those insights into real-time guidance, automated workflows, and actionable coaching. Built for modern contact centers, Cresta connects directly with existing telephony, CRM, and knowledge management systems to deliver value with minimal disruption.

At its core, Cresta leverages large language models and retrieval-augmented generation (RAG) to understand conversation context, detect customer intent, and surface relevant knowledge from internal sources. Agents receive real-time prompts, recommended responses, and next-best actions during live conversations, which helps reduce handle time and improve resolution rates. The platform also captures the full conversation lifecycle—generating automatic summaries, disposition codes, and follow-up tasks that would otherwise require manual effort. For supervisors, Cresta provides AI-driven quality assurance by evaluating every interaction, scoring performance against company policies, and identifying coaching opportunities with greater precision than traditional sampling methods.

Cresta’s value extends beyond individual conversations. Its predictive analytics capabilities allow operations leaders to identify trends, forecast outcomes, and proactively address bottlenecks in customer journeys. The same data that powers real-time guidance is used to build continuous learning loops that refine model accuracy over time. As a result, Cresta helps organizations improve customer satisfaction (CSAT), boost first-contact resolution (FCR), and lower average handle time (AHT), while giving employees more context and confidence in each interaction. By embedding AI into daily workflows, Cresta turns contact centers into strategic growth engines that can adapt quickly to changing customer expectations.

Designed for enterprise-scale deployments, Cresta is suitable for a range of use cases, from customer service and technical support to sales and collections. It supports a remote and distributed workforce by offering consistent, real-time coaching regardless of location. The platform is particularly valuable for organizations that operate in regulated industries, where compliance monitoring and consistent policy adherence are critical. With integrable architecture and configurable AI models, Cresta can be tailored to specific business objectives, making it a flexible solution for companies looking to modernize their customer experience operations.

Core capabilities

Real-Time Agent Guidance

Provides live recommendations, next-best actions, and context-aware prompts to agents during customer interactions.

Conversation Intelligence

Automatically transcribes and analyzes voice and digital conversations to extract sentiment, intents, and key insights.

AI-Powered Coaching

Identifies skill gaps and delivers personalized coaching recommendations to continuously improve agent performance.

Knowledge Assistance

Uses retrieval-augmented generation (RAG) to surface relevant information from company knowledge bases in real time.

Automated Quality Assurance

Evaluates 100% of interactions with AI models to ensure compliance, consistency, and reduce manual QA workloads.

Workflow Automation

Automates post-interaction tasks such as call summarization, data entry, and ticketing to boost operational efficiency.

Predictive Analytics

Forecasts customer and agent outcomes to help supervisors take proactive action on emerging issues or risks.

Integration Ecosystem

Connects with leading CRM, telephony, and workforce management systems for seamless deployment and data flow.

Use cases

Real-time agent assistance during high-stakes customer calls

Automated post-call summarization and case management

Personalized coaching and training for new agents

Customer sentiment and intent analysis for churn prediction

Compliance monitoring and policy adherence

Reducing average handle time (AHT)

Improving first contact resolution (FCR) rates