“It is like having an in-house fractional head of engineering and a fully functional dedicated team.”
One submission,
into every market that should see it.
Marketing a commercial account is the same packet of data typed into six different portals, then a week of chasing underwriters for a response. We assemble the submission once from your AMS and run it into every appointed market, so the producer is comparing quotes instead of filling forms.
- Submission packets built from the AMS account, not rekeyed from the expiring policy
- Every appointed market worked in one pass, portal or email
- Underwriter questions tracked per market instead of lost in a thread
- Quotes brought back onto the account, side by side, as they arrive
Works with EZLynx · HawkSoft · NowCerts · QQCatalyst · AMS360 · Applied Epic




Client relationships include work through Alfabolt, NativeBase's parent company.
The loop you run today, and the one that replaces it.
- A producer wins a new commercial risk and the account gets keyed into the AMS.
- A CSR rebuilds the same information as an ACORD packet, usually from the expiring policy.
- They log into each carrier portal in turn and retype the risk, market by market.
- Underwriters come back with questions, and nobody is sure which market asked what.
- Quotes land in six inboxes and get compared by hand, days after the first one arrived.
- Submission packets built from the AMS account, not rekeyed from the expiring policy
- Every appointed market worked in one pass, portal or email
- Underwriter questions tracked per market instead of lost in a thread
- Quotes brought back onto the account, side by side, as they arrive
~10 hours saved · per marketed account
The pieces, not a platform.
Deterministic where a wrong number matters, AI where it earns its seat, and you approve which is which. Nothing here asks your team to learn a new system.
Packet assembly
The submission is built from the account as it stands in your AMS: ACORD 125, the line-of-business supplements, loss history, and the schedules the market actually asks for. Missing pieces are flagged up front rather than discovered by an underwriter.
Market selection
Your appetite rules decide who sees the risk: class code, state, revenue, fleet size, loss history. The list is yours, written down, and the same for every producer instead of whichever markets someone remembers.
Portal and email submission
Each market is worked the way that market accepts business. Portals get logged into, navigated, and filled deterministically. Email markets get the packet with the subject line and attachments their intake desk expects.
Underwriter follow-up
Requests for more information are read, matched back to the account, and answered from AMS data where the answer already exists. Anything requiring judgement goes to the producer with the context attached.
Quote comparison
Quotes come back onto the account as they arrive, parsed into premium, limits, and coverage differences, so the producer sees a comparison rather than six PDFs in an inbox.
Monitoring
Carrier portals change without warning. We catch it from monitoring and push a fix, usually before your team notices the run stalled.
You record a Loom. We do the rest.
No statement of work, no change orders, no “out of scope”. A named build lead in your Slack from day one, working inside the setup you already have.
“Every commercial account gets marketed to six carriers, and every one of those six means retyping the same risk into another portal. Then we spend a week chasing underwriters.”
what you’d send us
Engineers who already speak insurance.
“Alfabolt took over our digital platform and internal systems, improved functionality fast, and cut hosting and infrastructure costs by 50%.”
After just a few months, they were a fully integrated part of our team.
Submission automation questions, answered.
How is this different from a comparative rater?
Raters cover the lines and carriers they have integrations for, mostly personal and small commercial. This works wherever your markets are, including the portals and email desks no rater touches, because it works them the way a CSR does: deterministically, one step at a time.
Do we have to change AMS or learn new software?
No. We sit on top of the AMS you already run (HawkSoft, NowCerts, AMS360, EZLynx, Applied Epic, QQCatalyst) and automate the steps around it. Your producers keep working the way they do now.
What about markets that need judgement on the risk?
Those stay with your producer. We take the mechanical part: assembling the packet, working the portals, chasing responses. Which markets to approach and how to position the risk is your team’s call, and the appetite rules we run are the ones you write down.
Is this just AI? How do we trust it on a submission?
We use LLMs where they earn their seat, like reading an underwriter’s email or parsing a quote PDF. We do not use them where a hallucinated number would go on an application. Your runbook lists what is AI and what is deterministic, and you approve every category.
How fast can we get started?
Send a Loom on Monday and you watch it run on a real account that Friday. Month to month, you own everything, cancel anytime.
What does it cost?
It starts free: a 20-minute call and a written automation map of the 3 to 5 workflows worth automating first. Then a 14-day pilot for $2,499 one time: one workflow, fixed scope, live and used by your team by day 14, or you don’t pay. After that, $2,499 a month keeps it running (monitoring and fixes included) and adds one new automation each month; $4,499 a month runs two build lanes. Month to month, cancel anytime, no setup fees. No per-submission charges.
Bring the submission backlog eating your week.
Twenty minutes, no deck. Show us the task, we tell you whether we can automate it and what it would cost. If the answer is no, we’ll tell you who can.


