Global compliance slowed production. Now, AI drafts multilingual content and SQL queries, saving analysts 70 hours a week.
A global leader in online trading and financial services operating in a highly regulated environment across multiple international markets.
Teams needed to rapidly produce high volumes of precise, compliant content in multiple languages while navigating complex regulatory requirements....
“Claude could solve problems that other models could not.”
Online trading platform for CFDs, spread betting, and foreign exchange markets.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
IG Group's Enterprise workflow automation is part of this use case:
Related implementations across industries and use cases
Nastya wrote specs three times per feature, plus a week of competitive research. Now she writes once—AI handles desktop, web, and mobile.
Ad-hoc queries bottlenecked analysts for hours. Now, business teams use an AI agent to pull governed insights in plain text.
Manual analysis of 9,000 firms held back research. Teams now build custom tools to automate workflows without waiting for IT support.
Multilingual claims bottlenecked expansion. Claude now auto-drafts decisions across 15 apps, automating 70% of targeted tasks.
Consultants manually scoured knowledge bases. Now, they prompt an internal AI to synthesize insights into structured, on-brand drafts.
Quarterly compliance updates meant costly reshoots. Now scripts regenerate instantly — no cameras, no vendors, no delays.
Engineers capped at basic chat, complex work out of reach. Now 700 tackle cross-jurisdiction compliance reviews in hours, not weeks.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Global compliance slowed production. Now, AI drafts multilingual content and SQL queries, saving analysts 70 hours a week.
A global leader in online trading and financial services operating in a highly regulated environment across multiple international markets.
Teams needed to rapidly produce high volumes of precise, compliant content in multiple languages while navigating complex regulatory requirements....
“Claude could solve problems that other models could not.”
Online trading platform for CFDs, spread betting, and foreign exchange markets.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
IG Group's Enterprise workflow automation is part of this use case:
Related implementations across industries and use cases
Nastya wrote specs three times per feature, plus a week of competitive research. Now she writes once—AI handles desktop, web, and mobile.
Ad-hoc queries bottlenecked analysts for hours. Now, business teams use an AI agent to pull governed insights in plain text.
Manual analysis of 9,000 firms held back research. Teams now build custom tools to automate workflows without waiting for IT support.
Multilingual claims bottlenecked expansion. Claude now auto-drafts decisions across 15 apps, automating 70% of targeted tasks.
Consultants manually scoured knowledge bases. Now, they prompt an internal AI to synthesize insights into structured, on-brand drafts.
Quarterly compliance updates meant costly reshoots. Now scripts regenerate instantly — no cameras, no vendors, no delays.
Engineers capped at basic chat, complex work out of reach. Now 700 tackle cross-jurisdiction compliance reviews in hours, not weeks.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.