From the first discovery call to underwriting-ready.
Underwryte is an Ai sales platform built from the ground up for the PEO industry — not a generic CRM retrofitted for co-employment. It runs the engagement from the moment a prospect is identified to the moment a clean, complete submission lands on an underwriter's desk.
Meridian Logistics · PEO
ENG-4471Every field on every screen says where it came from. Try resolving the one that needs review.
PEO deals don't die on price. They die waiting.
The selling is the easy part. What kills the quarter is everything between the discovery call and a submission underwriting will actually accept.
The document chase
Census, loss runs, payroll registers, current invoices. Weeks of email tag, and nobody can say with confidence what's still outstanding on which deal.
Submissions that bounce
Incomplete files and unreadable scans reach underwriting, come back, and the clock restarts — usually after the prospect's decision window has closed.
A CRM that doesn't speak PEO
ASO versus PEO versus payroll only. Work comp, benefits, 401k, EPLI. Required documents that change with both. Generic pipelines can't model any of it.
Data you can't ask questions of
Years of wins and losses sit in a siloed sales environment. What actually closes — by industry, size, region, price — stays folklore instead of fact.
One engagement record, from prospect to submission.
Underwryte opens an engagement the moment a prospect is identified and manages every step from there. Each stage feeds the next, so nothing gets re-keyed and nothing falls through.
Prospect identified
The engagement begins in Underwryte, not in someone's inbox.
Discovery meeting
Scheduled against real calendar availability, hosted with a structured agenda, transcribed and interpreted by Ai.
Engagement created
A structured deal record spins up automatically the moment discovery concludes.
Document gathering
Ai builds the request list for this deal, prompts for what's missing, and guides the client's uploads — SSN-masked.
Deal dashboard
Key prospect characteristics auto-displayed, validated, and ready to submit.
Ai proposes. A person confirms.
Ai never quietly overwrites what a human entered. When Ai reads a value out of a client document, it shows the value, names the document it came from, and waits. Conflicts get flagged, not auto-resolved — and a submission stays blocked while a required value is still unresolved.
Ai has proposed a value and named its source. Nothing downstream moves yet.
A person checked it against the source and accepted it. Recorded with who and when.
A person corrected it. The original Ai value and its source are kept underneath, alongside the correction.
Contributed by Ai, tested by a human — on every field, on every screen, visible to everyone who touches the deal.Why the color coding ships in v1
Every change — human or Ai, on any record — is written to an audit trail from day one. When a client asks why a number moved, the answer is one click away instead of one archaeology project away.
What ships at launch.
A deliberately tight first release: the discovery meeting, the engagement, the documents, the extraction, and the accountability around all of it. Everything below is in the build.
Companies & engagements
- Company and engagement records — a company can carry several engagements over time, each with its own history.
- Engagement type — ASO, PEO, or payroll only.
- Products being quoted — work comp, employee benefits, 401k, EPLI, Section 125.
- The required-document list is built from both together, so the ask matches the deal.
- Six fixed pipeline stages with full stage history.
Documents & Ai extraction
- Ai-built document request list, prompting for exactly what's needed, when it's needed.
- Guided client uploads with SSN masking — simple for them, complete for you.
- Quality and completeness validation before anything reaches underwriting.
- Extraction with provenance — each value names its source document and page.
- Click a Needs review badge to open the source, then resolve it or fix it by hand.
Working the pipeline
- Home work queue — what needs attention today, in one place.
- Deal dashboard with sortable columns and filters for closing within 30 days, stalled, and missing documents.
- A dedicated Needs attention view for everything blocking a submission.
Discovery meetings
- Scheduled against real calendar availability — the meeting is set in one pass, with no back-and-forth email chain.
- A structured agenda for every discovery call, so the same ground gets covered on every deal.
- Hosted and fully transcribed — the conversation is captured, not reconstructed from memory afterward.
- Ai reads the transcript, confirms checklist adherence, and surfaces what matters into the engagement.
- Post-meeting follow-up generated and sent, so momentum never stalls between the call and the document ask.
Ask Ai, on every screen
- A docked assistant available from anywhere in the product.
- Guided task execution— "set up a new engagement" and it walks the steps with you.
- Ad hoc reporting in plain language, with export to CSV.
Access & accountability
- Access granted per company or scoped to a single engagement — for the broker who works three of your deals and should see one.
- Contact roles, invite links, and control over who sees whose uploads.
- Revoke all access for one person across every company and engagement, in one action.
- A day-one audit trail on every entity — human changes and Ai changes alike.
Feedback, built in
- Report a problem from any screen — it opens a ticket with the page context attached.
- Suggest a feature and it lands on the wish list that drives what gets built next.
- What's built after launch shouldn't be our opinion. It should be yours.
Where this goes next.
Not in the first release, and not promised on a date — but it's what the engagement data is being structured for.
Built by people who have carried the bag in this industry.
Underwryte is being built with a small first cohort of PEOs shaping what ships after launch. If that's you, put your name in — we'll come to you before general release.