UST and Anthropic Form Alliance to Operationalise AI

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UST will train 20,000 of its employees on Claude. Credit: Michael M. Santiago/Getty Images
UST’s Krishna Sudheendra and Manu Gopinath, as well as Anthropic’s Paul Smith, outline a plan to become AI-native and train 20,000 experts on Claude

UST, a digital transformation solutions company, is working with AI firm Anthropic to operationalise AI.

Operationalising the tool goes beyond just adopting it. It’s about AI-embedded systems that actually drive business.

The partnership, which was announced recently, aims to help Global 1,000 enterprises become AI-native.

UST hopes to achieve this by embedding Claude, Anthropic’s AI assistant, into the engineering environments and workflows it designs, build and runs for its clients, which include the likes of Boots UK, Canva, Schneider Electric and Safeway.

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 UST President Manu Gopinath explains, the transition from controlled testing to live production frequently exposes a steep drop-off in performance. 

“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,” he says in the latest issue of Technology Magazine

Manu Gopinath, President of UST

To bridge this gap, organisations are redesigning their workflows around a hybrid model that balances automation with human oversight. 

For mission-critical or high-risk tasks, maintaining a human in the loop remains essential for corporate safety. 

Manu draws a direct parallel to the cautious deployment of autonomous vehicles: “They still give that, ‘Hey, we need your hands on the steering wheel’. While it can do things, there’s always that caution.”

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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. 

“UST helps the world’s banks, telecoms and manufacturers put new technology to work,” says Paul Smith, Chief Commercial Officer at Anthropic. 

Paul Smith, Chief Commercial Officer at Anthropic. Credit: Erevena

“They’re proving Claude inside their own engineering first, before bringing it into the systems they build and run for clients.”

One example of this innovation is UST-iDEC, a platform that is 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. 

UST-iDEC has already cut testing times by 50% to 70% and shrinking a standard four-day turnaround down to just 48 hours through an automated, self-correcting system.

Now, UST is taking the platform a step further by integrating Anthropic’s Claude to serve as the centre of the operation. 

UST-iDEC fact profile
  • What does it do? The platform changes how microchips and hardware are tested
  • Testing times have reduced by 50-70%, using the platform
  • Four days testing time has dropped down to two days with automated, self-correcting systems

With this upgrade, the AI can instantly read and understand complex hardware blueprints and chip schematics just like a human engineer would. It then automatically writes and runs the repetitive test scripts that engineers previously had to code by hand. 

Plus, Claude uses advanced reasoning to compare live data from physical microchips against their perfect digital replicas, instantly flagging software glitches or electrical signal flaws. By pairing UST’s automation with Claude’s reasoning, the platform transforms a tedious, manual engineering process into a fast, smart, and largely autonomous pipeline.

“We are wiring Claude into how UST designs, builds and runs solutions across our consulting, platforms, engineering services and industry offerings,” Manu says. 

“This alliance with Anthropic helps us deliver higher-value outcomes for clients while advancing UST’s transformation into an AI-native organisation built on trust, human oversight, and long-term impact.”

UST is also integrating Claude into its industry and horizontal enterprise platforms to streamline workflows across healthcare, telecom, banking and supply chain operations. 

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

By combining Claude’s reasoning capabilities with built-in governance controls, these platforms securely automate complex tasks like claims processing, network error prediction and legacy system modernisation while maintaining strict compliance and human oversight. 

Training 20,000 experts 

UST has also committed to training 20,000 developers and industry experts to build with Claude.

The goal is to transform UST into a fully AI-native company from the inside out. 

By certifying a diverse workforce, ranging from software architects and consultants to specialised engineers, the company aims 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, ensuring its workforce is fully equipped to lead the next generation of software development. 

“Our alliance with Anthropic reflects UST’s unwavering commitment to helping clients navigate the AI landscape with confidence and achieve meaningful business outcomes,” says Krishna Sudheendra, CEO of UST. 

Krishna Sudheendra, CEO of UST

“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.”

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