AI can digitize and triage submissions before underwriters make the underwriting decision.
Insurance · Five countries in the initial 90-day wave (live by mid-October 2025); 11 countries live as of May 2026; expansion toward 22 countries by end of 2026
The breakthrough was not the model; it was standardising the intake schema and the execution workbench first, so a headless AI layer could be dropped into five countries in 90 days. Deployment velocity came from the target operating model, not from AI heroics.
AI value · Manual triage time per submission
Company-reported
15 minutes (80% reduction)
Zurich-attributed figures carried by independent trade press (Reinsurance News; The Insurer) and the Cytora vendor page; no independent measurement and no Zurich-owned disclosure located.
Before
Manually read, review, and interpret every incoming risk submission (unstructured, multilingual documents) → Re-key and re-format submission data across multiple disconnected systems → Assess, quote, and bind from manually prepared file
After
Converts multilingual submissions into structured risks aligned with Zurich's underwriting framework. → Search external data sources, including web research, to enrich the risk with information underwriters need → Routes a reported 95% of submissions to underwriters without manual triage, in the local language. →…
Human boundary
AI owns intake digitisation, triage, and enrichment; underwriters retain assess/quote/bind authority. No automated binding or auto-declination is disclosed in any retrieved source.
Why it matters
AI can digitize and triage submissions before underwriters make the underwriting decision.
This case is company-reported. Use it for the operating-model shift; do not treat the numbers as independently measured.
How the work changed
Before
How the work ran before the change.
Step 1 of 3
Underwriter
Manually read, review, and interpret every incoming risk submission (unstructured, multilingual documents)
Step 2 of 3
Underwriter
Re-key and re-format submission data across multiple disconnected systems
Step 3 of 3
Underwriter
Assess, quote, and bind from manually prepared file
What changed
AI can digitize and triage submissions before underwriters make the underwriting decision.
Decision rightHuman decision retained
After
How the same work runs now.
Step 1 of 4
Cytora headless intelligence layer
Converts multilingual submissions into structured risks aligned with Zurich's underwriting framework.
Search external data sources, including web research, to enrich the risk with information underwriters need
ControlZurich-defined global view of risk with local market variation
Step 3 of 4
Intake straight-through flow
Routes a reported 95% of submissions to underwriters without manual triage, in the local language.
ControlAutomated triage rules; exceptions surface to underwriters
Step 4 of 4
Underwriter
Assess, quote, and bind the decision-ready risk (or pass to specialist underwriting platforms)
ControlHuman underwriting decision retained
Process model built from the published workflow evidence for Zurich Commercial Insurance (Zurich Insurance Group). Every step, actor, and control appears in full below.Every step, actor, and control
Exception path
Submissions that fail digitisation or triage rules surface to underwriters; complex risks pass from Z-Horizon+ to specialist underwriting platforms.
Decision authority
AI owns intake digitisation, triage, and enrichment; underwriters retain assess/quote/bind authority. No automated binding or auto-declination is disclosed in any retrieved source.
Before
#
Actor
Action
Control
01
Underwriter
Manually read, review, and interpret every incoming risk submission (unstructured, multilingual documents)
Individual judgment; no consistent prioritisation; capacity constrained to a fraction of submissions received
02
Underwriter
Re-key and re-format submission data across multiple disconnected systems
Manual data entry
03
Underwriter
Assess, quote, and bind from manually prepared file
Human underwriting decision
After
#
Actor
Action
Control
01
Cytora headless intelligence layer
Converts multilingual submissions into structured risks aligned with Zurich's underwriting framework.
Search external data sources, including web research, to enrich the risk with information underwriters need
Zurich-defined global view of risk with local market variation
03
Intake straight-through flow
Routes a reported 95% of submissions to underwriters without manual triage, in the local language.
Automated triage rules; exceptions surface to underwriters
04
Underwriter
Assess, quote, and bind the decision-ready risk (or pass to specialist underwriting platforms)
Human underwriting decision retained
Work that left the path
Manual triage of every submission (reported 80% time reduction)
Re-keying and re-formatting submission data
Switching between multiple disconnected systems
Per-country custom intake builds (replaced by a reusable Intake Master Schema)
Human role before
Underwriters manually read, interpreted, triaged, and re-keyed every submission across disconnected systems, leaving capacity for only a fraction of inbound volume and inconsistent prioritisation.
Human role after
Underwriters receive complete, decision-ready risks directly in the Z-Horizon+ workbench in local language and spend their time assessing, quoting, and binding; manual triage, re-keying, and system switching are eliminated.
AI role
Cytora operates as the upstream headless intelligence layer: digitising unstructured multilingual submissions, triaging intake, and enriching risks via agentic search of external data sources, delivered into Z-Horizon+ (a configured Microsoft Dynamics 365) as the downstream system of execution.
Outcomes
Manual triage time per submission
Company-reported
75 minutes→15 minutes (80% reduction)
90-day initial rollout (first five countries live by mid-October 2025); metrics reported May 2026 · Five countries in the initial wave; 11 countries live as of May 2026
Zurich-attributed figures carried by independent trade press (Reinsurance News; The Insurer) and the Cytora vendor page; no independent measurement and no Zurich-owned disclosure located. The Cytora page mixes achieved language with forward-looking 'clear path towards 15-minute triage time' language for the self-serve phase.
Intake straight-through processing rate
Company-reported
10%→95%
90-day initial rollout; reported May 2026 · Five countries (initial wave)
Company-attributed via trade press; not independently measured.
Digitisation accuracy
Company-reported
70-80%→98%
90-day initial rollout; reported May 2026 · Five countries (initial wave)
Company-attributed via trade press; accuracy methodology not disclosed.
What leaders can reuse
Anti-pattern
Reading vendor roadmap language ('clear path', '20+ markets in 16 months') as achieved outcomes; only the five-country wave (11 by May 2026) is delivered.
Questions
01Do we have a standardised execution workbench that an intelligence layer could feed, or would each deployment be a custom build?
02Which intake metrics would we let a vendor publish about us, and would we issue our own disclosure?
03What is our equivalent of the 75-to-15-minute triage compression, and who measures it independently?
Portability conditions
A globally standardised downstream workbench already in place (Z-Horizon+) before the AI layer arrives
Harmonised core data fields across countries and lines of business (Intake Master Schema)
