Strict regulations slowed development. Engineers using AI cut task times from 10 hours to 6 and reduced defects by 30%.
A market infrastructure provider to the global financial services industry responsible for clearing, settlement, and transaction processing.
Strict regulatory standards made adopting emerging technologies difficult, as any new tool required rigorous testing to ensure market stability. The...
“We wanted to improve developer productivity and get the right tools in the right hands to democratize the power of generative AI across DTCC.”
The Depository Trust & Clearing Corporation's Software development is part of this use case:
Post-trade financial market infrastructure for global capital markets.
Cloud computing platform and on-demand infrastructure services.
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%.
Trade data was buried in messy chat logs. GenAI now mines the text for pricing, turning raw noise into new revenue streams.
Strict security blocked CLI coding tools. Using a pre-configured AI assistant, engineers compress weeks of manual migration into days.
Manual coding took 40% of dev time. With AI handling code generation and security scans, engineering productivity rose 20%.
Manual coding and testing delayed reward campaigns. Now, AI automates repetitive tasks so 240 engineers focus on core architecture.
Complex approvals delayed digital services for 74M customers. Now, business teams use low-code tools to launch specialized AI agents.
Agents typed furiously while customers waited on hold. AI now summarizes calls, saving the team 250,000 hours annually.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Strict regulations slowed development. Engineers using AI cut task times from 10 hours to 6 and reduced defects by 30%.
A market infrastructure provider to the global financial services industry responsible for clearing, settlement, and transaction processing.
Strict regulatory standards made adopting emerging technologies difficult, as any new tool required rigorous testing to ensure market stability. The...
“We wanted to improve developer productivity and get the right tools in the right hands to democratize the power of generative AI across DTCC.”
The Depository Trust & Clearing Corporation's Software development is part of this use case:
Post-trade financial market infrastructure for global capital markets.
Cloud computing platform and on-demand infrastructure services.
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%.
Trade data was buried in messy chat logs. GenAI now mines the text for pricing, turning raw noise into new revenue streams.
Strict security blocked CLI coding tools. Using a pre-configured AI assistant, engineers compress weeks of manual migration into days.
Manual coding took 40% of dev time. With AI handling code generation and security scans, engineering productivity rose 20%.
Manual coding and testing delayed reward campaigns. Now, AI automates repetitive tasks so 240 engineers focus on core architecture.
Complex approvals delayed digital services for 74M customers. Now, business teams use low-code tools to launch specialized AI agents.
Agents typed furiously while customers waited on hold. AI now summarizes calls, saving the team 250,000 hours annually.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.