How do underwriters calculate tech startup errors and omissions cost when the firm pivots from SaaS to AI-driven financial advisory software?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do underwriters calculate tech startup errors and omissions cost when the firm pivots from SaaS to AI-driven financial advisory software?
3 real searches · 1 real-search pass
technology errors and omissions insurance underwriting artificial intelligence financial services advisory software risk factorsGoogle ↗
OBSERVEDReason
SEC investment adviser definition robo-advisers fiduciary obligations AI financial advice softwareGoogle ↗
OBSERVEDDefinition
NAIC artificial intelligence insurance underwriting governance model risk financial servicesGoogle ↗
OBSERVEDReason
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (3)
Classes come from the query-classifier (a local Laya model). 3 of 3 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT3 real searches · gpt-6
technology errors and omissions insurance underwriting artificial intelligence financial services advisory software risk factors Google ↗
SEC investment adviser definition robo-advisers fiduciary obligations AI financial advice software Google ↗
NAIC artificial intelligence insurance underwriting governance model risk financial services Google ↗
- Aon | Professional Services - What Your PI / E&O Insurers Care About When Thinking about AI · aon.com
- How Insurers Underwrite AI Risk · mayflowerspecialty.com
- Tech E&O is softening, but AI and MSP risks are carving out a hard pocket · insurancebusinessmag.com
- Investment Advisers · investor.gov
- Insurance Topics | Artificial Intelligence · content.naic.org
- Insurance Circular Letter No. 7 (2024): Use of Artificial Intelligence Systems and External Consumer Data and Information Sources in Insurance Underwriting and Pricing · dfs.ny.gov
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
technology errors and omissions insurance underwriting artificial intelligence financial services advisory software risk factors OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
SEC investment adviser definition robo-advisers fiduciary obligations AI financial advice software OBSERVED | Google ↗ AI Mode ↗ | — | Definition | — | — | 1x of 1 | |
NAIC artificial intelligence insurance underwriting governance model risk financial services OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |