High monetisation in industries nobody is fighting over. Unglamorous work with contracts that renew. 1,061 ideas qualify, averaging 74/100 on the opportunity score. Membership is computed from the scores rather than chosen by hand, so the list updates whenever the corpus is rebuilt.
Point a forecasting model at quoting & estimating, and let people review output instead of producing it. Aimed at childcare office managers, starting from data the business already produces.
Reporting & analytics handled by a document parser, with a human signing rather than writing. Aimed at childcare office managers, replacing the spreadsheet that currently holds it together.
A document parser that handles payroll verification end to end and hands a human the exceptions rather than the queue. Aimed at childcare office managers, built for one person, not a department.
A reconciliation engine that handles margin monitoring end to end and hands a human the exceptions rather than the queue. Aimed at nonprofits ops teams, catching the error before it becomes a change order.
A reconciliation engine that handles vendor management end to end and hands a human the exceptions rather than the queue. Aimed at government program directors, writing down what only one person knows.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes quality control. Aimed at government program directors, charging only when it actually works.
A narrow vision model scoped to compliance audit alone — no platform, no migration, no six-month rollout. Aimed at government compliance leads, so the work stops following people home.
An autonomous agent that handles collections end to end and hands a human the exceptions rather than the queue. Aimed at government ops teams, catching the error before it becomes a change order.
An anomaly detector that handles permit & licence tracking end to end and hands a human the exceptions rather than the queue. Aimed at public safety ops teams, built for one person, not a department.
A narrow long-context reviewer scoped to proposal writing alone — no platform, no migration, no six-month rollout. Aimed at public safety ops teams, catching the error before it becomes a change order.
Training & competency handled by a retrieval engine, with a human signing rather than writing. Aimed at public safety compliance leads, catching the error before it becomes a change order.
Risk assessment handled by a retrieval engine, with a human signing rather than writing. Aimed at public safety compliance leads, replacing the spreadsheet that currently holds it together.
Point a document parser at onboarding, and let people review output instead of producing it. Aimed at public safety compliance leads, catching the error before it becomes a change order.
A narrow anomaly detector scoped to demand forecasting alone — no platform, no migration, no six-month rollout. Aimed at public safety compliance leads, charging only when it actually works.
Point a reconciliation engine at margin monitoring, and let people review output instead of producing it. Aimed at franchising franchisees, finding what the inspector would find, first.
Point a workflow engine at shift handover, and let people review output instead of producing it. Aimed at franchising franchisees, taking the phone queue off a human entirely.
A vision model that handles compliance audit end to end and hands a human the exceptions rather than the queue. Aimed at franchising franchisees, replacing the spreadsheet that currently holds it together.
Vendor management handled by a workflow engine, with a human signing rather than writing. Aimed at franchising franchisees, closing the loop while everyone is asleep.
Point a retrieval engine at risk assessment, and let people review output instead of producing it. Aimed at franchising franchisees, replacing the spreadsheet that currently holds it together.
A narrow reconciliation engine scoped to reporting & analytics alone — no platform, no migration, no six-month rollout. Aimed at franchising franchisees, built for one person, not a department.
Point an anomaly detector at margin monitoring, and let people review output instead of producing it. Aimed at franchising franchisor ops, writing down what only one person knows.
Margin monitoring handled by a reconciliation engine, with a human signing rather than writing. Aimed at franchising franchisor ops, unbundling the one module people actually use.
Claims & appeals handled by a document parser, with a human signing rather than writing. Aimed at franchising franchisor ops, built for one person, not a department.
A narrow workflow engine scoped to warranty & returns alone — no platform, no migration, no six-month rollout. Aimed at franchising field supervisors, finding what the inspector would find, first.