Subrogation evidence chronology
Recovery files lack a coherent chronology of documented events. Source-linked recovery chronology with uncertainty preserved.
01The offer
For claims recovery support teams, turn authorized incident records and professional instructions into reviewed recovery evidence chronology. Address this specific problem: recovery files lack a coherent chronology of documented events. The aim: source-linked recovery chronology with uncertainty preserved. The pilot tests whether that benefit holds up against reviewer effort and real operating costs.
- For
- Claims recovery support teams
- Takes in
- Authorized incident records and professional instructions
- Delivers
- Reviewed recovery evidence chronology
- Message
- Source-linked recovery chronology with uncertainty preserved. Demonstrate the result with organize one closed recovery case for claims recovery support teams. Use a concrete before-and-after example without promising unmeasured savings.
- Lead magnet
- Organize one closed recovery case
02How it works
- Extract dated events
- Link original evidence
- Flag conflicting timestamps
- Identify missing documents
- Record reviewer corrections
- Export chronology
Workflow
The buyer creates a project, supplies authorized incident records and professional instructions, and confirms scope and access. The working sequence is: 1. Extract dated events. 2. Link original evidence. 3. Flag conflicting timestamps. 4. Identify missing documents. 5. Record reviewer corrections. 6. Export chronology. Users correct extracted facts, resolve flagged uncertainties and approve the final reviewed recovery evidence chronology before use. Retain source links and a version history for the next cycle.
AI and people
Order documented events without inferring fault. Keep model suggestions separate from verified facts. Link factual outputs to authorized input evidence and show missing information explicitly. Use deterministic checks for counts, dates, identifiers and arithmetic where applicable. A designated reviewer validates consequential outputs and signs off the delivered result.
Screens
Key screens: Evidence timeline, Missing facts, Review export. Use a searchable table or visual gallery with filters for the domain’s important attributes. Open each item into a detail drawer containing source records, ownership and history. Put proposed merges and field changes in a separate review queue. Provide a preview before any bulk export. Open with evidence timeline; move into missing facts for the detailed task; finish in review export for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.
Admin
Record ownership, access permissions, change proposals, original-value retention, version history, review dates, bulk import/export and duplicate resolution. Include organization-scoped access, named project owners, review queues, usage limits, export history and retention settings. Never reuse private customer material for other accounts without permission.
03Market gap
Alternatives buyers use today
Spreadsheets, shared folders, existing asset or information management systems and manual data cleanup. Position this concept around source-linked recovery chronology with uncertainty preserved. Compare it against the customer's current process on the same representative task. This is proposed differentiation; no exhaustive competitor study or uniqueness claim has been established.
Where this wins
A useful niche taxonomy, customer-approved mappings and accumulated correction history that improve retrieval and reduce repeated cleanup. For this concept, accumulate permissioned examples and reviewer corrections around source-linked recovery chronology with uncertainty preserved. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.
04Why now
Insurance teams are adopting AI for exactly this kind of repeatable work, and the cost of language and vision models has dropped far enough that a narrow, reviewed workflow pays back quickly. The buyer already feels the problem: recovery files lack a coherent chronology of documented events.
05Proof & signals
Channels where buyers gather: Claims recovery administrators and specialist firms. Metrics that prove it works: Chronology corrections and preparation time.
Paid pilot
Agree the acceptance criteria, input limits and reviewer responsibilities before starting. Run organize one closed recovery case and deliver reviewed recovery evidence chronology. Compare chronology corrections and preparation time with the buyer's current process on comparable cases; include corrections, missed issues and reviewer time. Seek payment and repeat use. Stop or revise the scope if data access, accuracy or unit economics fail.
06Execution plan
MVP
Costed pilot: Evidence organization; no liability or recovery decisions. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: extract dated events; link original evidence. Support the third task through an assisted review queue: flag conflicting timestamps. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of reviewed recovery evidence chronology. Authentication, account isolation, deletion controls and basic operational logging are included. Specialized production certification, live write integrations and broader rollout are not included unless explicitly stated.
First 30 days
Week 1: interview five prospective buyers from claims recovery support teams and inspect how they handle recovery files lack a coherent chronology of documented events. Week 2: prepare organize one closed recovery case using authorized or synthetic material. Week 3: share the demonstration through claims recovery administrators and specialist firms and seek one bounded paid pilot. Week 4: measure chronology corrections and preparation time, review delivery effort and ask for a repeat purchase. This is a validation schedule, not a promise that the full product can be built in thirty days.
After the pilot
After paying customers repeatedly accept reviewed recovery evidence chronology, automate identify missing documents; record reviewer corrections; export chronology. Add one tested read integration, reusable customer configuration and scheduled repeat delivery. Increase supported formats or teams only when evaluation cases and reviewer capacity cover the new scope. Evidence organization; no liability or recovery decisions.
Retention
Build repeat use around reviewed recovery evidence chronology. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on chronology corrections and preparation time. Offer a recurring volume allowance after repeat demand; expand to adjacent tasks only when the buyer asks and delivery quality remains acceptable.
Integrations
Broker-approved policy documents, case records and carrier requirements. Source systems, catalog exports and cloud file storage. Start with reversible CSV or file imports and validate identifiers before any direct writes. Begin with uploads and exports of authorized incident records and professional instructions. Any named system or connector is a candidate requiring current access and compatibility checks; no live connection is included by default.
07Investment and running costs
| Phase | Scope | Time | Budget |
|---|---|---|---|
| MVP | One buyer segment, one recurring use case; first modules: extract dated events; link original evidence. Manual review in the loop. | 6 days | $14,000 |
| Paid pilot | Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers. | 7 days | $14,000 |
| Full product | Self-serve onboarding, billing, monitoring and the wider integration set. | 3 weeks | $19,500 |
| Total | $47,500 | ||
| Running | Hosting | AI usage | Total a month |
|---|---|---|---|
| MVP and paid pilot (about 3 customers) | $50–$100 | $50–$100 | $100–$200 |
| Full product (about 50 customers) | $190–$380 | $350–$700 | $540–$1,080 |
Revenue model to test
Test USD 500-2,500 for one collection cleanup and launch, followed by USD 100-500 monthly for maintenance within agreed record limits. Larger migrations and complex rights management are separately scoped. Prices are hypotheses. For this buyer, package the first sale around organize one closed recovery case and the defined reviewed recovery evidence chronology. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.
Cost drivers
Import cleanup, extraction, storage, indexing, steward review, duplicate investigation and recurring source updates. Initial validation additionally budgets for claims professional review. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.
Safeguards
Separate document preparation from coverage, underwriting and claims decisions. Authorized professionals review policy meaning and customer commitments. Evidence organization; no liability or recovery decisions. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.
Take it further
Newly authored additional batch of 210 concepts, dated 2026-09-22, for later import. Checked against the existing 413 catalog for exact title and ID duplication, with editorial review of overlap. Demand, differentiation, pricing, build hours, setup costs and integration feasibility are unvalidated planning hypotheses. Category inspiration links are inherited taxonomy references, not evidence that these concepts were covered there.