6,000 annual infrastructure tickets delayed modernization. Now, an AI bot resolves 74% of requests while Copilot accelerates coding.
A UK justice system organization employing over 18,000 people relies on 700 internal developers to transition all paper-based casework into 14 modern digital services.
Progress on this massive digital transformation slowed as the legacy development platform struggled to provide rapid feedback loops at scale....
“Using GitHub Copilot coding agent, I was able to create a FinOps report, analyze the data, and create a live-service visualization for business users in only a few minutes and with minimal prompting, giving us a potential cost savings of £5,000 through business-led environment scheduling. Using these tools makes it easier for me to iterate at a pace that follows my thoughts and achieves business value sooner.”
Government advisory body for England's natural environment and wildlife conservation.
Built an AI agent and a scalable platform engineering model for HMCTS using Microsoft Azure.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Natural England's Developer support is part of this use case:
Related implementations across industries and use cases
New agents manually trawled complex file folders for answers. Now, they ask an AI assistant to instantly synthesize multi-source data.
Manual processing blocked 24/7 support. Now, an AI agent resolves routine requests autonomously, freeing staff for relationship work.
Ticket transfers between teams delayed support. Now, AI routes queries by theme and surfaces suggested answers for human agents.
Boilerplate and unfamiliar code slowed 700 developers. AI now acts as a pair programmer, clearing bottlenecks and handling rote tasks.
Clients paid "ghost engineers" for minimal output. AI now benchmarks DORA metrics, flagging idle seats and boosting productivity 30%.
New agents manually trawled complex file folders for answers. Now, they ask an AI assistant to instantly synthesize multi-source data.
Staff manually cross-checked hundreds of pages. Agents now synthesize technical files to draft environmental analyses.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
6,000 annual infrastructure tickets delayed modernization. Now, an AI bot resolves 74% of requests while Copilot accelerates coding.
A UK justice system organization employing over 18,000 people relies on 700 internal developers to transition all paper-based casework into 14 modern digital services.
Progress on this massive digital transformation slowed as the legacy development platform struggled to provide rapid feedback loops at scale....
“Using GitHub Copilot coding agent, I was able to create a FinOps report, analyze the data, and create a live-service visualization for business users in only a few minutes and with minimal prompting, giving us a potential cost savings of £5,000 through business-led environment scheduling. Using these tools makes it easier for me to iterate at a pace that follows my thoughts and achieves business value sooner.”
Government advisory body for England's natural environment and wildlife conservation.
Built an AI agent and a scalable platform engineering model for HMCTS using Microsoft Azure.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Natural England's Developer support is part of this use case:
Related implementations across industries and use cases
New agents manually trawled complex file folders for answers. Now, they ask an AI assistant to instantly synthesize multi-source data.
Manual processing blocked 24/7 support. Now, an AI agent resolves routine requests autonomously, freeing staff for relationship work.
Ticket transfers between teams delayed support. Now, AI routes queries by theme and surfaces suggested answers for human agents.
Boilerplate and unfamiliar code slowed 700 developers. AI now acts as a pair programmer, clearing bottlenecks and handling rote tasks.
Clients paid "ghost engineers" for minimal output. AI now benchmarks DORA metrics, flagging idle seats and boosting productivity 30%.
New agents manually trawled complex file folders for answers. Now, they ask an AI assistant to instantly synthesize multi-source data.
Staff manually cross-checked hundreds of pages. Agents now synthesize technical files to draft environmental analyses.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.