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Premium Auditor

Identify subcontractor compliance issues

Automates✓ Available Now

What You Do Today

You verify that subcontractors carry proper insurance, and when they don't, you add their payroll to the insured's audit as uninsured subcontractor exposure.

AI That Applies

AI cross-references subcontractor certificates of insurance against policy requirements, flagging expired certificates, inadequate limits, and missing endorsements.

Technologies

How It Works

The system monitors regulatory data sources — rule changes, enforcement actions, and compliance records. The automation engine executes each step in the process sequence — validating inputs, applying business rules, generating outputs, and routing exceptions to human review queues. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.

What Changes

Certificate verification that took hours of manual checking now happens automatically with AI flagging only the problematic subcontractors.

What Stays

Explaining to a general contractor why their premium increased because five of their subs didn't carry comp — that conversation is yours.

What To Do Next

This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.

1

Establish Your Baseline

Know where you are before you move

Before adopting AI tools for identify subcontractor compliance issues, understand your current state.

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Map your current process: Document how identify subcontractor compliance issues works today — who does what, how long it takes, where the bottlenecks are. You need this baseline to measure improvement.
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Identify the judgment points: Explaining to a general contractor why their premium increased because five of their subs didn't carry comp — that conversation is yours. These are the boundaries AI won't cross.
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Assess your data readiness: AI tools for this area need data to work. Check whether your organization has the historical data, integrations, and data quality to support Certificate Tracking Systems tools.

Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.

2

Define Your Measures

What to track and how to calculate it

Time per cycle

How to calculate

Measure how long identify subcontractor compliance issues takes end-to-end today, then after AI adoption.

Why it matters

The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.

Quality of output

How to calculate

Track error rates, rework frequency, or stakeholder satisfaction scores before and after.

Why it matters

Speed without quality is just faster mistakes. Measure both.

When to check: Check after 30 days of consistent use, then quarterly.
The commitment: Give new tools at least 30 days before judging. The first week is always awkward.
What NOT to measure: Don't measure AI adoption rate as a KPI. Adoption follows value — if the tool helps, people use it.
3

Start These Conversations

Who to talk to and what to ask

your Chief Compliance Officer

“If we automated the routine parts of identify subcontractor compliance issues, what would the team do with the freed-up time?”

They set the risk appetite for AI adoption in regulated processes

your legal counsel

“If identify subcontractor compliance issues were fully AI-assisted, which exceptions would still need a human — and are those the high-value parts?”

AI in compliance creates new regulatory interpretation questions

4

Check Your Prerequisites

Confirm readiness before you invest

Check items as you confirm them.

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