ConversAI Core provides a native conversational AI engine that integrates directly with Pega applications, enabling generative AI to understand and act on Pega rules, flows, cases, data, and decisions. By embedding AI reasoning within enterprise workflows, it allows users to query and automate tasks—such as retrieving top delays by case type—in real time without additional wrappers, retraining, or rebuilding.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprise Pega applications require users to navigate complex rule-based workflows and data structures manually, which can be time‑consuming and error‑prone. Existing chatbots often rely on external wrappers or retraining, limiting their ability to interact directly with native Pega logic and decisions.
Solution
ConversAI Core provides a conversational AI engine that integrates natively with Pega applications, allowing generative AI to understand and act upon Pega rules, flows, cases, and data without additional wrappers or model retraining. Users can issue natural‑language prompts—such as “Show me my top five delays by case type”—and receive real‑time responses that not only retrieve information but also trigger actions within the workflow. The platform leverages the existing Pega decisioning engine to ensure that AI‑driven interactions respect business logic and security policies. By embedding AI directly into the enterprise app, ConversAI Core enables autonomous query, analysis, and execution, streamlining processes like claims handling, onboarding, underwriting, and service management.
Target Audience
Primary customers are enterprises that run mission‑critical processes on the Pega platform, including insurance carriers, financial services firms, and large organizations using Pega for claims, onboarding, underwriting, and customer service automation.
Features
- Direct, native integration with Pega rule engine, flows, cases, and data models
- Real‑time natural‑language querying that translates prompts into executable Pega actions
- No need for external wrappers, additional model retraining, or custom code layers
- Secure AI execution that adheres to existing Pega security and governance controls
- Supports end‑to‑end workflow automation, enabling AI to both retrieve information and perform actions autonomously