ZuriChat - Everyday support at your fingertips Qorus-NTT DATA Innovation in Insurance Awards 2026

Concept & objectives:
Concept:
- Zurichat is Zurich’s secure, enterprise GenAI assistant that supports employees with day‑to‑day work (e.g., summarising, drafting, translating, coding support, and Q&A across internal topics via specialised bots).

Objectives:
– Reduce time spent on repetitive knowledge work
– Improve quality and consistency of written outputs
– Enable faster decisions and better collaboration
– Scale GenAI usage responsibly across Zurich (security, privacy, compliance)

Reasons behind:
• Employees spend significant time searching for information, drafting content, and reworking communication.
• GenAI can help — but only if it’s safe, governed, and easy to use at enterprise scale.

State of competition / differentiation:
• Rather than relying on scattered, local tools, Zurichat provides a single, global platform with:
– Multi‑model capability (adding new models as they mature)
– Rapidly evolving features (e.g., Workspaces, Websearch, MCP)
– Access to specialized internal knowledge bots (e.g., legal, finance accounting, HR, expenses, underwriting guidance where permitted)

Sources of inspiration:
• Advances in LLMs and enterprise copilots, combined with Zurich’s focus on responsible AI and practical employee productivity.
• Feedback loops from users across functions to prioritise high‑value, everyday use cases.

Departments involved:
• GenAI product team / Group IT (platform delivery and adoption)
• Information Security (controls and assurance)
• Data Privacy & Compliance / Risk (governance and guardrails)
• Business stakeholders across functions and Business Units (use cases, testing, scaling)

Main results so far (impact & adoption)
• 45k employees active on the tool, with 30k+ employees very active usage
• In 2025: 11.3 million prompts processed and 126 billion tokens handled
• Continuous innovation to keep pace with the market: Workspaces, optional sanitised Websearch, MCP integrations, and ongoing model upgrades — driving sustained adoption and practical value.