What are the hidden pitfalls when canceling legacy enterprise software contracts that finance teams usually miss?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the hidden pitfalls when canceling legacy enterprise software contracts that finance teams usually miss?
2 real searches · 1 real-search pass
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 (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
enterprise software contract termination auto renewal notice period data export fees minimum commitments discount clawback guidance OBSERVED | Google ↗ AI Mode ↗ | — | Consequence | — | — | 1x of 1 | |
SaaS contract termination data retrieval retention obligations enterprise software exit costs audit logs OBSERVED | Google ↗ AI Mode ↗ | — | Consequence | — | — | 1x of 1 |