An optimisation engine that sits beside the existing system, reads what it already produces, and closes maintenance planning. Aimed at public safety ops teams, taking the phone queue off a human entirely.
In short: Automated Maintenance Planner for Public safety is an optimisation engine aimed at public safety ops managers, covering maintenance planning. It scores 70/100 on AltF Ideas, carried by moat (94) and held back by feasibility (24). Typical pricing is $3.4k–$73k per customer per year, with a first version reachable in six to twelve months for $30k–$75k.
Public safety teams lose maintenance done on a calendar rather than on condition. The work sits between two systems that were never designed to talk. The error rate is tolerated because measuring it would cost more than the errors.
Maintenance planning handled by an optimisation engine, with a human signing rather than writing. Revenue is per-outcome, which suits a buyer who wants the cost to track the value rather than the seat count.
| Total addressable market | $235M |
|---|---|
| Category growth (CAGR) | 17% |
| Annual contract value | $3.4k – $73k |
| Pricing model | Per-outcome |
| Time to first revenue | 58 days |
| Startup cost to MVP | $30k – $75k |
| Build effort | 6-12 months |
Solver capacity that once needed a research budget now runs on commodity hardware. Public safety is growing at roughly 14% a year, and this job has not been re-tooled since it was designed around paper.
| Who | The gap |
|---|---|
| An internal hire | Works until volume doubles, then breaks again |
| An offshore back office | Cheaper per hour, but does not scale down to the tail |
| A spreadsheet | The real incumbent in most of the market, and it is free |
The data you need lives on paper in a back office; digitisation is half the product.
An idea you cannot act on is entertainment. Four concrete steps, wired to tools already running on AltFTool.
Score problem urgency, willingness to pay, and reachable audience size before writing any code.
→ AltF IdeaLabAsk how they handle this today and what it costs them. If nobody can quantify the pain, the demand score is optimistic.
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→ AltF DomainOpsStand up intake, the review queue, and billing before you build the clever part.
→ AltF Flow