Retrieval-Powered Risk Scorer for Ops Teams
Point a retrieval engine at risk assessment, and let people review output instead of producing it. Aimed at energy ops teams, proving value before anyone signs anything.
12,000 ideas match, averaging 74/100 on the opportunity score. Assumes the build is the easy part. Moat and open field are weighted up, so the list favours ideas where the durable advantage is not just shipping first.
Point a retrieval engine at risk assessment, and let people review output instead of producing it. Aimed at energy ops teams, proving value before anyone signs anything.
An autonomous agent that sits beside the existing system, reads what it already produces, and closes collections. Aimed at solar project managers, writing down what only one person knows.
A long-context reviewer that sits beside the existing system, reads what it already produces, and closes document review. Aimed at solar ops teams, going after the low-value tail everyone else skips.
A narrow retrieval engine scoped to contract analysis alone — no platform, no migration, no six-month rollout. Aimed at food production plant supervisors, going after the low-value tail everyone else skips.
A vision model that handles field reporting end to end and hands a human the exceptions rather than the queue. Aimed at hospitality ops teams, built for one person, not a department.
A voice agent that handles shift handover end to end and hands a human the exceptions rather than the queue. Aimed at auto repair technicians, charging only when it actually works.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes claims & appeals. Aimed at childcare owner-operators, finding what the inspector would find, first.
A narrow retrieval engine scoped to contract analysis alone — no platform, no migration, no six-month rollout. Aimed at childcare program directors, surfacing the exposure nobody has priced.
Point a long-context reviewer at RFP response, and let people review output instead of producing it. Aimed at government program directors, surfacing the exposure nobody has priced.
A document parser that sits beside the existing system, reads what it already produces, and closes document review. Aimed at public safety department heads, surfacing the exposure nobody has priced.
Knowledge capture handled by a retrieval engine, with a human signing rather than writing. Aimed at public safety department heads, finding what the inspector would find, first.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes contract analysis. Aimed at public safety department heads, so the work stops following people home.
A narrow forecasting model scoped to site selection alone — no platform, no migration, no six-month rollout. Aimed at franchising franchisees, replacing the spreadsheet that currently holds it together.
A forecasting model that sits beside the existing system, reads what it already produces, and closes demand forecasting. Aimed at franchising franchisor ops, surfacing the exposure nobody has priced.
A document parser that handles warranty & returns end to end and hands a human the exceptions rather than the queue. Aimed at franchising field supervisors, unbundling the one module people actually use.
Claims & appeals handled by a document parser, with a human signing rather than writing. Aimed at franchising field supervisors, going after the low-value tail everyone else skips.
Point a retrieval engine at RFP response, and let people review output instead of producing it. Aimed at pest control owner-operators, finding what the inspector would find, first.
A retrieval engine that handles claims & appeals end to end and hands a human the exceptions rather than the queue. Aimed at hvac & plumbing field supervisors, holding service constant on a smaller team.
Scheduling handled by a forecasting model, with a human signing rather than writing. Aimed at healthcare clinic admins, closing the loop while everyone is asleep.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes claims & appeals. Aimed at healthcare clinic admins, closing the loop while everyone is asleep.
Quality control handled by a forecasting model, with a human signing rather than writing. Aimed at healthcare clinic admins, closing the loop while everyone is asleep.
An autonomous agent that sits beside the existing system, reads what it already produces, and closes customer support. Aimed at healthcare clinic admins, at a tenth of what the enterprise suite charges.
A voice agent that sits beside the existing system, reads what it already produces, and closes knowledge capture. Aimed at healthcare compliance leads, holding service constant on a smaller team.
A long-context reviewer that handles contract analysis end to end and hands a human the exceptions rather than the queue. Aimed at dental practice owners, so the work stops following people home.