HCLTech has launched AI Force 2.0, the latest version of its enterprise AI platform. The company said the platform combines agentic intelligence with generative AI to support workflows across software engineering, data engineering, IT operations, and enterprise business processes. HCLTech said the goal is to improve decision-making, raise process efficiency, and keep governance, security, and measurable ROI in view.
HCLTech described AI Force 2.0 as a model-agnostic, modular platform that brings engineering, operations, and applications into a single intelligence layer. The company said the platform is designed so AI agents can analyze data, make context-aware decisions, and take autonomous action at scale.
HCLTech AI Force 2.0
AI Force 2.0 is built around a mix of prompts, RAG pipelines, tools, autonomous agents, governance, and multi-LLM flexibility. HCLTech says the platform is powered by enterprise-grade Responsible AI, auditability, and contextual intelligence. The company also says AI Force is designed to integrate with existing IT systems, which makes it less disruptive for large enterprises that already run complex applications and data estates.
The platform is not tied to a single foundation model, HCLTech says the product works with commercial and open-source LLMs, including Azure OpenAI, Google Gemini, Anthropic Claude on AWS Bedrock, Meta Llama 3, IBM Granite, Phi, Llama Code Llama, Mistral, and Hugging Face inferencing. That model-agnostic approach matters because many enterprises now want flexibility in where models run, how they are governed, and how much they cost to operate.
The platform’s built-in governance layer is meant to monitor risks on both input and output, including PII, prompt injection, toxicity, bias, malicious URLs, and factual consistency. In practical terms, that means the system is meant for enterprise use where compliance and traceability matter as much as speed.
HCLTech has split the product into several offerings, The main modules listed on its AI Force page are AI Force.Software, AI Force.Ops, AI Force for SAP, and AI Force.Data. AI Force.Software is aimed at software delivery and modernization. AI Force.Ops focuses on observability and automation across cloud, workplace, network, security, and application management services. AI Force for SAP is designed to support SAP migration and operations. AI Force.Data is aimed at data engineering and data operations.
The platform also includes feature sets such as observability and analytics, a RAG builder and library, model integration, a tools workbench, GRC controls, and an agent studio. These tools are meant to help enterprises build, test, and deploy AI-driven workflows without starting from scratch. HCLTech says the platform also comes with prebuilt prompts, agents, workflows, and ready-to-deploy use cases.
HCLTech says AI Force 2.0 supports multiple deployment modes, including standalone deployment, embedded deployment, API-based use, and edge deployment on AI PCs. The company also says it can run on-premises, in public cloud, private cloud, or hybrid environments. For large enterprises, that flexibility is often more important than raw model performance because deployment constraints usually define what can actually go live.
What this means for enterprise buyers
HCLTech is trying to move AI from a narrow productivity tool into a broader operating layer for software, operations, and data work. The real test will be adoption: whether enterprises see enough value in the platform’s governance, model flexibility, and workflow automation to move beyond pilots and into production.
