12,000 ideas match, averaging 73/100 on the opportunity score. For people whose advantage is knowing an industry from the inside. Ranked so that domain-heavy, unglamorous workflows rise rather than sink.
A workflow engine that handles grant & funding tracking end to end and hands a human the exceptions rather than the queue. Aimed at insurance agency owners, replacing the spreadsheet that currently holds it together.
A document parser that handles reporting & analytics end to end and hands a human the exceptions rather than the queue. Aimed at insurance underwriters, holding service constant on a smaller team.
A workflow engine that sits beside the existing system, reads what it already produces, and closes quoting & estimating. Aimed at fintech cfos, at a tenth of what the enterprise suite charges.
A workflow engine that handles renewal management end to end and hands a human the exceptions rather than the queue. Aimed at fintech ops teams, going after the low-value tail everyone else skips.
Point an anomaly detector at permit & licence tracking, and let people review output instead of producing it. Aimed at fintech compliance leads, so the work stops following people home.
A narrow anomaly detector scoped to maintenance planning alone — no platform, no migration, no six-month rollout. Aimed at fintech compliance leads, closing the loop while everyone is asleep.
A narrow anomaly detector scoped to payroll verification alone — no platform, no migration, no six-month rollout. Aimed at lending underwriters, starting from data the business already produces.
Point a document parser at document review, and let people review output instead of producing it. Aimed at lending ops teams, catching the error before it becomes a change order.
Point a document parser at warranty & returns, and let people review output instead of producing it. Aimed at insurance agency owners, starting from data the business already produces.
A workflow engine that handles quoting & estimating end to end and hands a human the exceptions rather than the queue. Aimed at insurance underwriters, going after the low-value tail everyone else skips.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes risk assessment. Aimed at insurance underwriters, finding what the inspector would find, first.
Invoicing handled by a document parser, with a human signing rather than writing. Aimed at insurance underwriters, finding what the inspector would find, first.
Demand forecasting handled by an anomaly detector, with a human signing rather than writing. Aimed at insurance underwriters, finding what the inspector would find, first.
A narrow forecasting model scoped to dispatch alone — no platform, no migration, no six-month rollout. Aimed at insurance claims teams, going after the low-value tail everyone else skips.
An optimisation engine that handles inventory planning end to end and hands a human the exceptions rather than the queue. Aimed at insurance brokers, finding what the inspector would find, first.
A narrow forecasting model scoped to demand forecasting alone — no platform, no migration, no six-month rollout. Aimed at insurance brokers, so the work stops following people home.
A voice agent that handles shift handover end to end and hands a human the exceptions rather than the queue. Aimed at insurance brokers, taking the phone queue off a human entirely.
An anomaly detector that handles expense review end to end and hands a human the exceptions rather than the queue. Aimed at fintech cfos, finding what the inspector would find, first.
A narrow forecasting model scoped to reporting & analytics alone — no platform, no migration, no six-month rollout. Aimed at lending underwriters, finding what the inspector would find, first.
Point an anomaly detector at permit & licence tracking, and let people review output instead of producing it. Aimed at wealth management advisors, built for one person, not a department.
A narrow workflow engine scoped to proposal writing alone — no platform, no migration, no six-month rollout. Aimed at wealth management advisors, starting from data the business already produces.
Point a forecasting model at quoting & estimating, and let people review output instead of producing it. Aimed at wealth management firm owners, unbundling the one module people actually use.
Point a forecasting model at renewal management, and let people review output instead of producing it. Aimed at wealth management firm owners, writing down what only one person knows.
A classifier that sits beside the existing system, reads what it already produces, and closes intake & triage. Aimed at wealth management compliance leads, so the work stops following people home.