HCLTech has rolled out 20 purpose-built Industry AI Solutions (IAIS), continuing its strategy to build differentiated IP in Advanced AI. Combining deep domain expertise with AI capabilities, the solutions address high-value, industry-specific solutions across banking, healthcare and life sciences, aerospace, retail, telecom, mobility, energy and manufacturing.
Several of these solutions are already deployed at scale across client operations globally, while others are progressing through early-stage deployments.
A dedicated global team of engineers and domain experts have built these solutions in-house.
“AI has a potential to transform the very heart of business value chains but realising that potential requires deep domain specificity and the ability to scale. Our Industry AI solutions bridge this gap by translating domain expertise into scalable AI intelligence, accelerating value stream innovation and helping enterprises navigate rapid technological change with greater agility, and measurable outcomes.” Dr. Gaurav Dhakar, Global Head – Industry AI Solutions, HCLTech
The portfolio is focused on translating AI into measurable business outcomes:
- Manufacturing and logistics: HCLTech’s VisionX, a computer-vision AI platform, has improved response times by more than 90% and reduced operational costs by 70% across factory and warehouse environments.
- Manufacturing: SmartTwin enables manufacturers to simulate products and plants before physical deployment, helping deliver up to 44% faster time-to-market for new products.
- Life sciences and healthcare: HCLTech’s Intelligent Regulatory Platform delivers regulatory intelligence, while its Intelligent Safety Platform has reduced pharmacovigilance case-processing time by 40-50%.
- Procurement and finance operations: Autonomous Accounts Payable, an AI-led invoice management platform, is live at a major global motorbike and tools manufacturer, cutting processing cycle time by 60%.
HCLTech plans to continue expanding its portfolio of repeatable Industry AI Solutions as enterprises move from AI experimentation towards scaled adoption and explore new solutions to unlock productivity, efficiency, innovation and growth.