SHERIDAN, WYOMING - May 15, 2026 - HCLTech has launched AI Force 2.0, the latest version of its proprietary enterprise AI platform designed to integrate agentic intelligence with generative AI across software engineering, IT operations and enterprise business processes. The platform is positioned to support organizations seeking to scale automation, improve operational decision-making and accelerate modernization initiatives while maintaining governance and security controls. HCLTech said the updated platform combines engineering, operations and application environments into a unified intelligence framework intended to support enterprise-wide AI deployment. The launch reflects increasing enterprise demand for operational AI systems capable of autonomous workflow execution and measurable business outcomes.
Platform combines agentic intelligence with enterprise GenAI capabilities
AI Force 2.0 introduces a model-agnostic and modular architecture intended to support enterprise deployment flexibility across different operational environments. According to HCLTech, the platform enables AI agents to analyze data, make context-aware decisions and take autonomous actions at scale across business and technology workflows.
The platform is designed to support software and data engineering functions alongside IT operations and enterprise process management. HCLTech stated that the combination of agentic intelligence and generative AI is intended to accelerate workflow execution while improving process efficiency and operational responsiveness.
The company also positioned the platform as part of a broader enterprise transformation strategy focused on automation, modernization and workflow augmentation rather than isolated AI experimentation.
Prebuilt assets target faster enterprise implementation
HCLTech said AI Force 2.0 includes a library of prebuilt assets intended to reduce deployment complexity and accelerate implementation timelines for enterprise customers. The platform provides ready-to-deploy prompts, AI agents, workflows and use cases that organizations can adapt to operational requirements.
In addition to preconfigured assets, enterprises can customize workflows and build solutions aligned with specific business processes and technology environments. The modular structure is designed to allow organizations to scale AI initiatives incrementally while maintaining operational alignment with existing systems.
The availability of reusable assets and configurable workflows may help enterprises reduce integration friction when deploying AI-driven operational automation across multiple business functions.
Governance and Responsible AI remain central to deployment strategy
HCLTech emphasized governance and Responsible AI controls as a core component of AI Force 2.0. The platform incorporates embedded Responsible AI evaluators designed to support trust, fairness and auditability requirements within enterprise environments.
The governance framework is intended to help organizations address operational oversight and compliance considerations as AI agents take on broader decision-making responsibilities. HCLTech stated that the platform was developed to balance automation and scalability with enterprise security and governance requirements.
As organizations continue expanding AI deployment into operational and business-critical processes, governance frameworks are increasingly becoming a key consideration for enterprise buyers evaluating AI platforms and automation technologies.
Enterprise operations and modernization remain key focus areas
HCLTech positioned AI Force 2.0 as a platform supporting accelerated modernization and operational agility across enterprise environments. The company said the platform is intended to help organizations improve efficiency across software, data and operational lifecycles while supporting measurable return on investment.
"AI Force 2.0 represents a significant leap forward in how enterprises harness AI solutions for transformation. By unifying agentic intelligence with enterprise-grade GenAI, we are enabling our clients to fundamentally reimagine software, data and operations lifecycles. This platform is engineered to deliver deep automation, accelerated modernization and unprecedented agility, helping global enterprises move faster, operate smarter and unlock value at scale," said Vijay Guntur, Chief Technology Officer and Head of Ecosystems at HCLTech.
The launch also reflects the growing enterprise shift toward operational AI systems capable of supporting cross-functional automation strategies across engineering, applications and infrastructure environments.
HCLTech expands enterprise AI portfolio
HCLTech continues to expand its enterprise AI portfolio as organizations increase investment in automation, cloud transformation and AI-enabled operational platforms. The company operates across multiple industry sectors including financial services, manufacturing, healthcare, telecommunications, retail and public services.
AI Force 2.0 extends the company's AI-focused offerings by combining autonomous decision-making capabilities with enterprise operational workflows. The platform's emphasis on governance, modularity and workflow integration indicates a focus on enterprise-scale deployment rather than isolated AI productivity tools.
For enterprise technology buyers and operational leaders, the platform represents a continued shift toward integrated AI environments designed to unify business process automation, operational management and engineering execution within a centralized intelligence framework.