A program live in weeks, not quarters
Drop your next program with Launch AI. It reads entire filings, rate tables, and policy documents and forms, then turns that pile into a program you can stand up, track, and ship against. Meet Stork, the AI bot inside Launch AI that automates the toil out of every program launch.
- Policy documentsDone
- Welcome emailDone
- Rater updateDone
Drop the folder.Launch AI does the rest Launch AI does the rest
Program launches used to mean months of program managers re-typing filings into JIRA and engineers translating those tickets into configs. Launch AI reads the primary source material directly, routes the work, and keeps the program running from drop to go-live.
Filings to rate tables
Every filed factor, every peril, every territory grid pulled from the PDF and the spreadsheet, reconciled where they disagree, loaded into the program with a reference back to the filing page each value came from.
Compliance cross-check
Launch AI reads the filing, pulls every rate cap and coverage limit, and warns you before launch if a program setting falls outside what the filing allows. Approvals stay on the record, not in email threads.
Test binds, live
Before Launch AI marks a program ready, it runs synthetic policies against the imported rate tables, compares them to the filed illustrations, and flags any drift. Launch is a sign-off, not a guess.
Stork is your AI assistant inside Launch AI
Stork pairs with underwriters, engineers, and program managers the way a senior teammate would. Here's a real exchange. Stork flags a rater drift before anyone else notices, walks the underwriter through the fix, ships it to test, gets approval, and deploys to production in less than an hour.
Conversation reconstructed from a real Launch AI session. Names anonymized.
What used to take quarters now takes a working day
Every number here is a median across Launch AI-managed programs and Launch AI-handled tickets since the agents rolled out. Partner-held blockers excluded from the launch numbers.
Filing drop to first production bind, measured across the full launch path
Rate-table change request to live in production
P0 ticket flagged, scoped, and routed to the right owner
Partner ticket summarized into an item with a clean scope and owner
Launch AI keeps working, so your ticket queue doesn't fill up
Launch AI watches every partner channel. When a ticket lands, it reads the history, flags whether it is a P0, summarizes the ask, drafts the analysis, fixes, and tests. Mondays start with shipped fixes instead of a triage meeting.
Quote UI shows $0.00 deductible on AD&D when coverage tier is "premium"
Launch AI traced the field back to a missing default in the tier-mapping table from the Q4 refresh, attached the failing test case, and opened a Linear issue for the on-call engineer with the repro and the fix sketch already written.
Partner asks: can renters include a $15/mo bike-theft rider with a $2k cap?
Launch AI drafted the rider shape, mapped the factor to the existing rate-table layout, listed the filing steps for CA, and posted the scoped plan back to the partner thread for the program manager to approve.
Claim FNOL rejects images over 8 MB, but partner's iOS app captures at 12 MB default
Launch AI spotted the cap mismatch between the FNOL ingress and the Claims AI pipeline, flagged the severity, and routed a scoped brief to the Claims AI on-call with the telemetry query pre-written.
Support: "Can the portal let the insured update their mortgagee without calling us?"
Launch AI scoped a self-service mortgagee-update flow, noted that the change would need to trigger a filed endorsement rather than a free-text edit, and handed the program manager a scoped item with the compliance checklist already attached.
Quote UI shows $0.00 deductible on AD&D when coverage tier is "premium"
Launch AI traced the field back to a missing default in the tier-mapping table from the Q4 refresh, attached the failing test case, and opened a Linear issue for the on-call engineer with the repro and the fix sketch already written.
Partner asks: can renters include a $15/mo bike-theft rider with a $2k cap?
Launch AI drafted the rider shape, mapped the factor to the existing rate-table layout, listed the filing steps for CA, and posted the scoped plan back to the partner thread for the program manager to approve.
Claim FNOL rejects images over 8 MB, but partner's iOS app captures at 12 MB default
Launch AI spotted the cap mismatch between the FNOL ingress and the Claims AI pipeline, flagged the severity, and routed a scoped brief to the Claims AI on-call with the telemetry query pre-written.
Support: "Can the portal let the insured update their mortgagee without calling us?"
Launch AI scoped a self-service mortgagee-update flow, noted that the change would need to trigger a filed endorsement rather than a free-text edit, and handed the program manager a scoped item with the compliance checklist already attached.
Quote UI shows $0.00 deductible on AD&D when coverage tier is "premium"
Launch AI traced the field back to a missing default in the tier-mapping table from the Q4 refresh, attached the failing test case, and opened a Linear issue for the on-call engineer with the repro and the fix sketch already written.
Partner asks: can renters include a $15/mo bike-theft rider with a $2k cap?
Launch AI drafted the rider shape, mapped the factor to the existing rate-table layout, listed the filing steps for CA, and posted the scoped plan back to the partner thread for the program manager to approve.
Claim FNOL rejects images over 8 MB, but partner's iOS app captures at 12 MB default
Launch AI spotted the cap mismatch between the FNOL ingress and the Claims AI pipeline, flagged the severity, and routed a scoped brief to the Claims AI on-call with the telemetry query pre-written.
Support: "Can the portal let the insured update their mortgagee without calling us?"
Launch AI scoped a self-service mortgagee-update flow, noted that the change would need to trigger a filed endorsement rather than a free-text edit, and handed the program manager a scoped item with the compliance checklist already attached.
Launch AI fits where your people already work
Launch AI works across three surfaces. Program managers, engineers, and support each meet it where they already work.
The drop box
A single URL. Paste a folder, paste a Zoom link, paste a filing PDF. Launch AI ingests, you watch a live dashboard of what's known, what's open, what's blocked, and what was promised on the kickoff call. No more chasing down decisions.
- Open-questions queue, assigned by role
- Launch checklist when Launch AI says ready
The issue queue
Launch AI can open issues anywhere from the platform to Microsoft Teams. Every one arrives with the root cause, the telemetry query, and the filing reference already attached. You review and merge like you would review a teammate. Launch AI learns your conventions from your existing issues and diffs.
- Regression brief attached to every ticket
- Reasoning log on every decision
The ticket bridge
Launch AI reads from all of your data sources. It summarizes every incoming ticket, flags the showstoppers first, drafts the partner-facing reply, and routes the rest with the context attached. Partners see their tickets scoped in minutes instead of stuck in a queue.
- Summarizes, classifies, routes
- Drafts partner-facing reply
Launch AI moves fast because it can't route the wrong thing
Every Launch AI action is bounded by a filed rule, a human approval, or a replayable trail. Speed without sign-off is not the goal.
Filing-constrained by construction
No rate change is queued unless Launch AI can trace every factor back to a filed table and every coverage limit back to a filed form. Anything outside the filing goes to the compliance queue, not direct to production.
Human approval on every change
Launch AI drafts, scopes, and assembles the analysis. A human signs off before anything ships. The reviewer sees a decision-ready brief, not a blank page.
Quality on every ramp
Launch AI-initiated changes roll through staging, then 1%, 10%, and 100% of traffic. Drift on any tracked metric rolls the change back automatically and pages the owner.
Human review on money movement
Anything touching reserves, payouts, or commissions runs through a dual-human review and a 24-hour observation window before ramp. Money decisions stay where humans want them.
Every artifact is replayable
The filing Launch AI read, the rate table it parsed, the reasoning it used, all stored against the program. Auditors get a legible playback.
Citations on every value
Every rate factor and every coverage limit links back to the source file, down to the table cell, filing page, or decision log entry. Reviewers verify the citation against the filing without leaving the platform.
What Launch AI reads, writes,and watches and watches
Median filing drop to first production bind on a new program
Median partner ticket to a scoped brief across Launch AI-handled queues
Of partner tickets close with a Launch AI-drafted brief, a human engineer approving, and no further back-and-forth
“Chubb's insurance offering, through Sure's technology platform, further reinforces our commitment to innovative, digital solutions and providing consumers with peace of mind.”
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