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An optimisation engine that handles scheduling end to end and hands a human the exceptions rather than the queue. Aimed at insurance claims teams, at a tenth of what the enterprise suite charges.
In short: Optimisation Scheduling for Insurance is an optimisation engine aimed at insurance claims leads, covering scheduling. It scores 71/100 on AltF Ideas, carried by moat (97) and held back by feasibility (30). Typical pricing is $5.0k–$107k per customer per year, with a first version reachable in six to twelve months for $30k–$82k.
Insurance teams lose a calendar rebuilt by hand every time one job slips. In most insurance businesses this job has never had software written for it. Whoever knows how it works becomes a single point of failure.
An optimisation engine that sits beside the existing system, reads what it already produces, and closes scheduling. Revenue is per-outcome, which suits a buyer who wants the cost to track the value rather than the seat count.
| Total addressable market | $1.7B |
|---|---|
| Category growth (CAGR) | 12% |
| Annual contract value | $5.0k – $107k |
| Pricing model | Per-outcome |
| Time to first revenue | 73 days |
| Startup cost to MVP | $30k – $82k |
| Build effort | 6-12 months |
Solver capacity that once needed a research budget now runs on commodity hardware. Insurance is growing at roughly 13% a year, and this job has not been re-tooled since it was designed around paper.
| Who | The gap |
|---|---|
| A vertical competitor | Priced and scoped for enterprise accounts, not this segment |
| An offshore back office | Cheaper per hour, but does not scale down to the tail |
| An internal hire | Works until volume doubles, then breaks again |
Trust has to be earned before anyone lets this run unsupervised.
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