Digital transformation solutions company UST has entered into an alliance with AI firm Anthropic to help Global 1,000 enterprises move beyond simply adopting AI toward truly operationalising it. The partnership will see Claude embedded directly into the engineering environments UST designs, builds and runs for clients including Boots UK, Canva, Schneider Electric and Safeway, alongside a commitment to train 20,000 developers and industry experts on the technology.
What Does It Mean to Operationalise AI?
To truly operationalise AI, enterprises need to move past the glossy sales pitch and confront the reality of their infrastructure. As Manu Gopinath, President of UST, explains, the transition from controlled testing to live production frequently exposes a steep drop-off in performance.
To bridge this gap, organisations are redesigning workflows around a hybrid model that balances automation with human oversight. For mission-critical or high-risk tasks, keeping a human in the loop remains essential for corporate safety, a caution Manu compares to the deployment of autonomous vehicles that still prompt drivers to keep their hands on the wheel.
"In a sandbox, you see a lot more accuracy in terms of how a system works but when you put it into real production data, the accuracy is not that high. This is what people are learning."— Manu Gopinath, President, UST
Claude for Physical AI
UST is integrating Claude into the engineering platforms that semiconductor, automotive, manufacturing, telecommunications and IoT companies use for design verification, semiconductor validation, factory operations and field service. Paul Smith, Chief Commercial Officer at Anthropic, notes that UST is proving Claude inside its own engineering first, before bringing it into the systems it builds and runs for clients.
One example is UST-iDEC, a platform changing the economics of how microchips and hardware are tested. Historically, verifying that new hardware works properly has been a slow, expensive bottleneck in tech development. With Claude now integrated as the centre of the operation, the AI can read and understand complex hardware blueprints and chip schematics much like a human engineer, automatically writing and running the repetitive test scripts engineers previously had to code by hand.
Claude also uses advanced reasoning to compare live data from physical microchips against their digital replicas, instantly flagging software glitches or electrical signal flaws, turning a tedious manual process into a fast, largely autonomous pipeline.
"By combining the capabilities of Claude with UST's engineering, industry knowledge and delivery expertise, we are bringing to market industry-specific platforms, and digital and engineering solutions that improve productivity, accelerate business outcomes and help clients operationalise AI-led decisions in a safe and secure environment."— Krishna Sudheendra, CEO, UST
Training 20,000 Experts
UST has committed to training 20,000 developers and industry experts to build with Claude, aiming to transform the company into a fully AI-native organisation from the inside out.
By certifying a diverse workforce ranging from software architects and consultants to specialised engineers, UST plans to embed these AI experts directly alongside client teams to solve complex problems on the ground. Backed by Anthropic's direct technical guidance, UST is building dedicated teams capable of deploying Claude at enterprise scale.