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CompLab

The commission compensation platform for Field Marketing Organizations and the agencies that work with them.

CompLab gives FMOs, IMOs, MGAs, and agencies one place to track every dollar that moves through their commission waterfall — from the carrier statement that lands in your inbox to the final payout that hits an agent's bank account. It replaces a tangle of spreadsheets, manual reconciliations, and "trust me, the math works" payouts with a single source of truth that everyone — operations, leadership, finance, and the agents themselves — can rely on.


Who CompLab is for

  • Field Marketing Organizations (FMOs / IMOs / MGAs) that contract with insurance carriers, recruit downline agents, and need to pay everyone correctly and on time.
  • Agencies and brokerages that sit somewhere in the middle of a commission hierarchy and need to know what they're owed, what they owe their downlines, and what the carrier actually paid.
  • Back-office and operations teams who currently spend the first two weeks of every month rebuilding pivot tables to figure out who gets paid what.
  • Compliance officers responsible for making sure every agent writing a policy is properly licensed and appointed in every state where they're producing.
  • Leadership that needs to see the health of the book of business at a glance — not three weeks after the close of the month.

If your monthly close currently involves the words "let me check the spreadsheet," CompLab is built for you.


The problems CompLab solves

Insurance commissions are deceptively complex. The numbers on a carrier statement are rarely the numbers you need to pay out. Here are the problems CompLab is built to eliminate:

1. "We don't actually know if the carrier paid us correctly."

The problem. Carriers send statements in dozens of formats — PDFs, CSVs, XLSXes, sometimes scanned images. Every carrier groups things differently. Comparing what you expected to be paid against what actually arrived is a manual, error-prone, time-consuming exercise. Most organizations either skip it or do it on a rolling delay, which means underpayments and overpayments quietly compound for months.

The outcome with CompLab. Every statement is parsed and reconciled the moment it comes in. Expected versus received is shown side-by-side, line by line, with discrepancies surfaced immediately. You stop leaving money on the table, and you catch carrier errors while they're still recoverable.

2. "Building the pay run takes the whole first week of the month."

The problem. Once you know what came in, you still have to walk every dollar down a multi-level hierarchy — overrides, splits, street commissions, bonuses, chargebacks — and produce a payout for every agent. Doing this by hand or in spreadsheets means human error, late payouts, and angry phone calls from agents who think they got shorted.

The outcome with CompLab. Pay runs are generated automatically the moment reconciliation completes. Every agent's payout is fully traceable: tap any number and see exactly which policy, which carrier statement, and which split rule produced it. Approvals are one click. Pay runs that used to take a week now take an afternoon.

3. "I don't trust our hierarchy."

The problem. Hierarchies drift over time. Agents move between agencies, splits get renegotiated, downlines get re-parented, and the master spreadsheet quietly stops reflecting reality. By the time someone notices, they've been paying the wrong people for months.

The outcome with CompLab. The hierarchy is a living, versioned structure. Every change is dated and attributed. You can see the org chart at any point in time, audit who moved where and when, and run "what would this pay run have looked like under the old hierarchy?" comparisons in seconds.

4. "I have no idea who's about to fall out of compliance."

The problem. An agent without a current state license or a valid carrier appointment can't legally produce. Statements stop, chargebacks start, and clients get orphaned. Most organizations find out about a lapsed license when it's already lapsed — usually from the carrier, usually badly.

The outcome with CompLab. Every agent's licensing and appointment status is tracked continuously, per state, per carrier. Renewals are forecast weeks in advance. You see the wave coming before it hits, and you can act on it instead of reacting to it.

5. "Answering a simple question requires a data pull."

The problem. "How did Jane's payout in March compare to February?" "Which carrier had the biggest gap between expected and received last quarter?" "Show me every agent whose production dropped 30% month-over-month." These should be five-second answers. Instead they're a ticket to the analytics team and a two-day wait.

The outcome with CompLab. A built-in AI assistant lives inside the app. You ask in plain English, it pulls the live numbers from your data — never a guess, never a hallucination — and shows its work so you can verify the answer. The questions that used to require a data pull now happen in conversation, in seconds.

6. "Our prospects can't tell what we actually do."

The problem. Selling commission technology is hard because the value is buried under jargon. Demos either over-promise with slick mockups, or under-deliver with confusing screen-shares of production data.

The outcome with CompLab. A guided demo tour walks prospects through the real product, with realistic data, narrated end-to-end. They see the actual reconciliation, the actual pay run, the actual hierarchy — not a mockup — without you ever having to expose a real customer's book of business.


What you can do inside CompLab

Each of these is an everyday workflow inside the product. Headings name the outcome, not the screen.

Reconcile a carrier statement

Drop in a statement — any format the carrier sends — and CompLab figures out which policies it covers, which agents wrote them, what was expected, what arrived, and where the gaps are. You see green where everything matches and yellow or red where something needs a human's attention. Nothing is silently swept aside.

Run payroll for your agents

With reconciliation complete, building a pay run is a single action. Every payout is broken down by override level, split, bonus, and adjustment, with full lineage back to the source statements. Approve the run, export it to your payment processor, and you're done.

Manage the hierarchy

Re-parent an agent, change a split, add a new sub-agency, or freeze a relationship. Every change is dated, attributed, and reversible. Historical pay runs continue to reflect the hierarchy that was in place when they ran.

Stay ahead of compliance

A continuously updated view of every agent's state licenses and carrier appointments. Filter by what's expiring this month, what's missing for a state you're expanding into, or what's pending at the carrier. Get ahead of renewals weeks before they bite.

Ask the assistant anything

The AI assistant has live, read-only access to your data. Ask it to compare two pay runs, summarize trends across a quarter, find anomalies, or explain a specific payout. It always shows its sources and never makes numbers up. You can keep the conversation open while you work — it's a coworker, not a chatbot.

Show prospects what they'd be buying

A guided, narrated tour that walks a brand-new viewer through every part of the product using realistic but anonymized data. Voice narration in English or Spanish. Visitors can mute, skip, or step through chapter-by-chapter. Real screens, real flows, no exposure of customer data.


What it feels like to use

CompLab is opinionated about a few things, on purpose:

  • Numbers are clickable. Every figure on every screen drills down to its underlying source. If you can see a number, you can see exactly how it was computed.
  • Nothing is hidden. When CompLab can't reconcile something, it tells you. When the AI assistant doesn't know, it says so. Silent fallbacks are a bug, not a feature.
  • Speed matters. The product is built to be operated by humans during a busy month-end close, not admired from a distance.
  • Bilingual where it counts. The narrated demo and key prospect-facing surfaces ship in English and Spanish.
  • Audit-friendly by default. Every change is attributed, every payout traces back to source documents, and history is preserved.

Outcomes our users care about

When organizations move onto CompLab, the changes they consistently see are:

  • Month-end close drops from weeks to days. Reconciliation and pay-run generation that used to consume the first half of the month happens in a fraction of the time.
  • Recovered revenue from carrier underpayments. Discrepancies that used to slip through are caught and recovered, often paying for the platform many times over.
  • Fewer agent disputes. When every agent can see exactly how their payout was calculated, the volume of "where's my money" calls drops sharply.
  • Compliance lapses become rare events. Forecasting renewals and appointments turns a chronic firefight into a managed process.
  • Faster, sharper decisions. Leadership can ask questions of the book of business and get answers in conversation rather than after a data pull.
  • Cleaner prospect conversations. Sales calls move faster because prospects can self-tour the product without a live walkthrough.

CompLab plays well with the tools you already use

CompLab is not an exclusive tool. It is built to live in the middle of your stack, not to replace it.

If a system you rely on — your CRM, your AMS, your payment processor, your accounting platform, your data warehouse, your BI dashboards, your marketing tools, your carrier portals, your internal scripts — exposes an API, CompLab can integrate with it. Push commission data out, pull policy or agent data in, sync hierarchy changes, trigger downstream workflows, mirror everything into your warehouse for reporting. Your data is yours, and CompLab treats interoperability as a first-class feature, not an upsell.

If the system you need to connect to doesn't have an API — older carrier portals, niche back-office tools, custom in-house systems — reach out. We've built bespoke connectors, file-drop ingesters, scheduled exports, and screen-level workarounds for customers before, and we're happy to scope one for you. The default answer is "yes, we can connect to that."

The point is simple: adopting CompLab does not lock you in to anything else, and it does not require you to rip out anything you already have working.


Where CompLab is going

CompLab is in active development. Recent and ongoing focus areas include:

  • Deeper AI-assisted analysis of pay-run trends and anomaly detection.
  • Broader carrier-statement format coverage, including scanned and image-only documents.
  • Smarter matching when the agent or carrier on a statement is ambiguous.
  • A continuously expanding library of guided tours so prospects and new hires can self-onboard.
  • Richer compliance forecasting tied directly to where production is actually growing.

We ship continuously. If something on this list matters to your organization, talk to us about timing — chances are it's already in motion.


Getting started

CompLab is delivered as a managed service. If you're an FMO, agency, or brokerage interested in seeing it in action, the fastest path is to start with the guided demo tour — it's the same tour we'd give you in a live call, but you can take it on your own time, in either English or Spanish, with no scheduling required.

After the tour, a short call with our team is enough to scope an onboarding plan: what statements you receive, what your hierarchy looks like, and what your current close process is. From there, getting your real data into CompLab is measured in days, not months.


A note on what's in this README

This document describes what CompLab does and why, intentionally without describing how it does it. The implementation, architecture, data structures, matching logic, AI prompting, integrations, and proprietary techniques that make CompLab work are not documented here. If you're evaluating CompLab for your organization, we're happy to discuss what's appropriate under NDA — but the public face of the product is, and will remain, the problems it solves and the outcomes it delivers.

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