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.”
Post-trade financial market infrastructure for global capital markets.
Cloud computing platform and on-demand infrastructure services.
The Depository Trust & Clearing Corporation'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%.
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.
Analysts couldn't touch the data—every question funneled through engineers, taking hours or weeks. Now they get answers in seconds.
Finance spent six hours stitching four data sources into fully burdened cost models. Now, they use AI to generate them in minutes.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.
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.”
Post-trade financial market infrastructure for global capital markets.
Cloud computing platform and on-demand infrastructure services.
The Depository Trust & Clearing Corporation'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%.
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.
Analysts couldn't touch the data—every question funneled through engineers, taking hours or weeks. Now they get answers in seconds.
Finance spent six hours stitching four data sources into fully burdened cost models. Now, they use AI to generate them in minutes.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.