Built on top of the HSC Agentic AI Platform, it provides a growing collection of pre-built agents that can be deployed as-is or quickly adapted to specific business needs.
Organized across functional domains and industry use cases, the Foundry enables organizations to rapidly identify, deploy, and scale AI-powered solutions without starting from scratch. By combining reusable agent capabilities with the governance, security, and orchestration of the underlying platform, the Agent Foundry helps accelerate time-to-value while reducing development effort and complexity.
AI agents that automate, accelerate, and optimize every stage of the product development lifecycle; from product discovery and requirements gathering to architecture, development, testing, and deployment.
AI agents that continuously monitor, manage, and optimize production environments, helping teams improve system reliability, operational efficiency, and service performance.
AI agents designed to streamline and enhance business operations across enterprise functions, improving productivity, decision-making, and employee experiences.
Industry-focused AI agents built to address domain-specific challenges and opportunities, enabling organizations to accelerate adoption within targeted markets and business segments.
Capturing requirements from stakeholder discussions is manual, time-consuming, and error-prone, leading to missed details, unclear user stories, and delays in product planning.
Manual test case creation is time-consuming, inconsistent, and often misses critical scenarios, leading to gaps in coverage, delayed testing cycles, and increased risk of defects in production.
Support teams spend significant time manually triaging tickets and identifying solutions, leading to slower resolution times, repeated issues, and inconsistent support quality.
Monitoring and managing production systems is reactive and manual, leading to delayed issue detection, longer downtime, and increased operational overhead.
Employees and managers spend significant time on repetitive queries, reporting, and performance tracking, leading to reduced productivity and limited visibility into team performance.
Traditional eCommerce experiences are fragmented and search-driven, making it difficult for users to find products easily, engage naturally, and complete actions seamlessly.
