Manual testing held back legacy updates. AI now writes 2M+ lines of code annually, automating routine tasks and complex upgrades.
One of the United Kingdom's largest telecommunications providers, operating critical fixed and mobile networks where software permeates every product line.
Developers lost significant time manually searching for best practices and writing repetitive test code, causing critical legacy updates to fall by...
“It’s easy to look at our company and assume that all we do is phones and broadband. But software permeates the entire company. All our products are driven by software or complemented by software services.”
Telecommunications and network services for UK and global markets.
Cloud computing platform and on-demand infrastructure services.
BT Group's Software development is part of this use case:
Related implementations across industries and use cases
Manual coding took 40% of dev time. With AI handling code generation and security scans, engineering productivity rose 20%.
Strict regulations slowed development. Engineers using AI cut task times from 10 hours to 6 and reduced defects by 30%.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Manual coding took 40% of dev time. With AI handling code generation and security scans, engineering productivity rose 20%.
Strict regulations slowed development. Engineers using AI cut task times from 10 hours to 6 and reduced defects by 30%.
Call centers couldn't keep pace with demand peaks and rising costs. Now, agents handle 24/7 messaging, with AI summarizing and translating.
Manual fine-tuning held back deployment. Automated optimization cut inference time 63% and agent routine work by over 50%.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
Manual testing held back legacy updates. AI now writes 2M+ lines of code annually, automating routine tasks and complex upgrades.
One of the United Kingdom's largest telecommunications providers, operating critical fixed and mobile networks where software permeates every product line.
Developers lost significant time manually searching for best practices and writing repetitive test code, causing critical legacy updates to fall by...
“It’s easy to look at our company and assume that all we do is phones and broadband. But software permeates the entire company. All our products are driven by software or complemented by software services.”
Telecommunications and network services for UK and global markets.
Cloud computing platform and on-demand infrastructure services.
BT Group's Software development is part of this use case:
Related implementations across industries and use cases
Manual coding took 40% of dev time. With AI handling code generation and security scans, engineering productivity rose 20%.
Strict regulations slowed development. Engineers using AI cut task times from 10 hours to 6 and reduced defects by 30%.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Manual coding took 40% of dev time. With AI handling code generation and security scans, engineering productivity rose 20%.
Strict regulations slowed development. Engineers using AI cut task times from 10 hours to 6 and reduced defects by 30%.
Call centers couldn't keep pace with demand peaks and rising costs. Now, agents handle 24/7 messaging, with AI summarizing and translating.
Manual fine-tuning held back deployment. Automated optimization cut inference time 63% and agent routine work by over 50%.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.