Engineers capped at basic chat, complex work out of reach. Now 700 tackle cross-jurisdiction compliance reviews in hours, not weeks.
A 221-year-old Swiss private bank managing ~CHF 800 billion for a small number of ultra-high-net-worth clients, built on a deliberate model: deeply personalized service at the front, maximum automation at the back.
While central teams built internal AI tools, engineers and business users were limited to basic chat interfaces and couldn't build anything complex...
“We try to be very high-touch at the front, but as automated as we can at the back, so that we can provide the best service possible. It's a bit different than many banks out there.”
Wealth and asset management, and private banking services.
Trained over 500 Pictet employees through Claude Code workshops and co-organized a hackathon
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Pictet's Software development is part of this use case:
Related implementations across industries and use cases
Routine admin bogged down 120,000 staff. Secure custom GPTs now automate workflows, freeing bankers for strategy and risk analysis.
Legacy tools failed at complex migrations. Claude Code now navigates the full codebase, cutting API builds from 2 days to 5 hours.
Manual analysis of 9,000 firms held back research. Teams now build custom tools to automate workflows without waiting for IT support.
Legacy tools failed at complex migrations. Claude Code now navigates the full codebase, cutting API builds from 2 days to 5 hours.
Compliance kept AI in pockets; security reviews backed up three weeks. After a weekend rollout, two-week sprints became three-hour sessions.
37 steps and 16 handoffs to send one email. Agents rebuilt the workflow from scratch — 3 weeks became 2 days.
Analysts couldn't touch the data—every question funneled through engineers, taking hours or weeks. Now they get answers in seconds.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Engineers capped at basic chat, complex work out of reach. Now 700 tackle cross-jurisdiction compliance reviews in hours, not weeks.
A 221-year-old Swiss private bank managing ~CHF 800 billion for a small number of ultra-high-net-worth clients, built on a deliberate model: deeply personalized service at the front, maximum automation at the back.
While central teams built internal AI tools, engineers and business users were limited to basic chat interfaces and couldn't build anything complex...
“We try to be very high-touch at the front, but as automated as we can at the back, so that we can provide the best service possible. It's a bit different than many banks out there.”
Wealth and asset management, and private banking services.
Trained over 500 Pictet employees through Claude Code workshops and co-organized a hackathon
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Pictet's Software development is part of this use case:
Related implementations across industries and use cases
Routine admin bogged down 120,000 staff. Secure custom GPTs now automate workflows, freeing bankers for strategy and risk analysis.
Legacy tools failed at complex migrations. Claude Code now navigates the full codebase, cutting API builds from 2 days to 5 hours.
Manual analysis of 9,000 firms held back research. Teams now build custom tools to automate workflows without waiting for IT support.
Legacy tools failed at complex migrations. Claude Code now navigates the full codebase, cutting API builds from 2 days to 5 hours.
Compliance kept AI in pockets; security reviews backed up three weeks. After a weekend rollout, two-week sprints became three-hour sessions.
37 steps and 16 handoffs to send one email. Agents rebuilt the workflow from scratch — 3 weeks became 2 days.
Analysts couldn't touch the data—every question funneled through engineers, taking hours or weeks. Now they get answers in seconds.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.