
Insurance exposure change diary
A year-round record of client-declared changes.
- For
- Commercial insurance account managers
- Solves
- Client operational changes are discovered only at renewal.
- Delivers
- Broker-reviewed exposure change diary
- Built in
- about 6 weeks of creation time, MVP in 7 days
- Investment
- $12,000 for the MVP, $41,000 for the full product
- Run it
- Inside your business, or as part of your offer to clients
What it does
For commercial insurance account managers, turn client-declared changes and approved review questions into broker-reviewed exposure change diary.
- Capture declared changes.
- Group exposure topics.
- Request supporting details.
- Flag incomplete entries.
- Route broker review.
- Export change history.
What goes in, what comes out
- Client-declared changes
- Approved review questions
AI drafts, people review. Operational coordination portal.
- Broker-reviewed exposure change diary
How it works
The workflow
- InStart with
Client-declared changes and approved review questions
- 1
The buyer creates a project
- 2
Supplies client-declared changes and approved review questions
- 3
Confirms scope and access
- OutFinish with
Broker-reviewed exposure change diary
AI does the heavy lifting, people stay in charge
Classify changes without predicting insurability. 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.
What your team sees
Key screens: Change diary, Evidence prompts, Broker queue. Use a queue or timeline as the opening view, with clear owners, dates and current states. Each case opens into its source context, proposed actions and discussion. Give external participants a limited form or status page. Make the next required action visible without opening every record. Open with change diary; move into evidence prompts for the detailed task; finish in broker queue for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.
Accounts and administration
Role permissions, task ownership, deadlines, reminders, approval gates, exception handling, action history, duplicate prevention and reversible configuration. 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.
Integrations and data access
Broker-approved policy documents, case records and carrier requirements. Calendars, email, task managers and relevant business records. Use draft actions and supervised handoffs first, then enable only specifically authorized writes. Begin with uploads and exports of client-declared changes and approved review questions. Any named system or connector is a candidate requiring current access and compatibility checks; no live connection is included by default.
How we build it
We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.
- 1
Scoping call
Day 1Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.
- 2
MVP
7 daysOne buyer segment, one recurring use case; first modules: capture declared changes; group exposure topics. Manual review in the loop. Built by our AI software factory.
- 3
Paid pilot
8 daysAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- 4
Full product
3 weeksSelf-serve onboarding, billing, monitoring and the wider integration set.
- 5
Run and improve
MonthlyWe host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.
Why we start with an MVP
An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.
- Pick the riskiest assumption. Here: will commercial insurance account managers use it to solve "client operational changes are discovered only at renewal"?
- Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
- Run a paid pilot. Agree the acceptance criteria, input limits and reviewer responsibilities before starting.
- Measure, then decide. Track undocumented changes and review preparation time. Then expand, change course or stop, with evidence instead of opinions.
MVP scope for this solution. Costed pilot: Information collection; no automatic coverage advice. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: capture declared changes; group exposure topics. Support the third task through an assisted review queue: request supporting details. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of broker-reviewed exposure change diary. 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.
After the MVP. After paying customers repeatedly accept broker-reviewed exposure change diary, automate flag incomplete entries; route broker review; export change history. 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. Information collection; no automatic coverage advice.
What the build depends on. Explicit state definitions, owner mapping, approval rules, idempotent actions, notifications and recovery procedures. Workflow reliability matters more than fluent text. Obtain representative authorized inputs, an agreed review rubric and a buyer-side owner. Specific scope: Information collection; no automatic coverage advice.
Investment
A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.
- Phase 1
MVP
One buyer segment, one recurring use case; first modules: capture declared changes; group exposure topics. Manual review in the loop.
- Phase 2
Paid pilot
Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- Phase 3
Full product
Self-serve onboarding, billing, monitoring and the wider integration set.
Indicative total, MVP to full product$41,000about 6 weeks of creation time · start with the MVP from $12,000
Running costs per month
A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.
| Stage | Hosting and infrastructure | AI usage | Total per month |
|---|---|---|---|
| MVP and paid pilotabout 3 customers | $50–$100 | $40–$90 | $90–$190 |
| Full productabout 50 customers | $190–$380 | $280–$560 | $470–$940 |
Run it or resell it
For your own team
Commercial insurance account managers run it inside the business: client-declared changes and approved review questions in, broker-reviewed exposure change diary out, reviewed by your people.
As part of your offer
Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.
Your brand, or this one
Run it under your own brand, or start from this concept style.
- primary
#279173 - accent
#c95499 - surface
#e4f1ed - ink
#22201e
- Headings
- Archivo
- Text
- Lora
- Voice
- Reassuring, clear, no small print
Selling it to your own clients: the go-to-market playbook
Pricing to test
Test USD 750-2,500 setup plus USD 200-800 monthly for one bounded workflow and team. Cap case volume and implementation scope. Larger operational integrations need separate quotes. Prices are hypotheses. For this buyer, package the first sale around organize changes for five business clients and the defined broker-reviewed exposure change diary. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.
Message to test
A year-round record of client-declared changes. Demonstrate the result with organize changes for five business clients for commercial insurance account managers. Use a concrete before-and-after example without promising unmeasured savings.
Where to find buyers
Commercial broker groups and risk advisors
Lead magnet
Organize changes for five business clients
The first 30 days
- Week 1: interview five prospective buyers from commercial insurance account managers and inspect how they handle client operational changes are discovered only at renewal.
- Week 2: prepare organize changes for five business clients using authorized or synthetic material.
- Week 3: share the demonstration through commercial broker groups and risk advisors and seek one bounded paid pilot.
- Week 4: measure undocumented changes and review 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.
Paid pilot
Agree the acceptance criteria, input limits and reviewer responsibilities before starting. Run organize changes for five business clients and deliver broker-reviewed exposure change diary. Compare undocumented changes and review 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.
Success metrics
Undocumented changes and review preparation time
Retention and expansion
Build repeat use around broker-reviewed exposure change diary. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on undocumented changes and review preparation time. Offer a recurring volume allowance after repeat demand; expand to adjacent tasks only when the buyer asks and delivery quality remains acceptable.
Why clients would pick it
Customer-specific workflow rules, reliable handoffs, operational history and integrations that make the service part of daily work. For this concept, accumulate permissioned examples and reviewer corrections around a year-round record of client-declared changes. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.
Alternatives and positioning
Shared inboxes, spreadsheets, task boards and existing workflow automation products. Position this concept around a year-round record of client-declared changes. 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.
Main delivery costs
Workflow configuration, integration maintenance, model calls, notification delivery, exception support and monitoring. Initial validation additionally budgets for broker 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. Information collection; no automatic coverage advice. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.