The Five Lies COI Tracking Vendors Tell on Sales Calls
Years of customer interviews have surfaced the same set of misleading claims from COI tracking vendors. Here are the five most common, and how to test them in the demo.
"Lies" is a strong word, so let's soften it: creative interpretations of capability. Vendors don't intentionally mislead, in the way that a used car dealer with the odometer rolled back is intentional. They just optimize their pitch for what closes deals, and what closes deals isn't always what's true.
Here are the five most common misleading claims we hear in COI tracking sales calls — and the questions that surface what's actually happening.
Lie #1: "We're real-time."
We've written about this in detail in our piece on real-time verification, but the short version: most "real-time" platforms in this category aren't. They're pulling data from Agency Management Systems with whatever update cadence the broker happens to maintain. That's not real-time. That's "real-eventually."
The test question: "Which insurance carriers do you have direct API integrations with, and what percentage of U.S. commercial policies are issued by those carriers?"
The right answer is a list of carrier names and a coverage percentage. The wrong answer is "we connect to AMS systems" or "we have a network of 5,000 brokerages." Networks are not the same as ground truth.
Lie #2: "Our AI handles the heavy lifting."
Every vendor in the category now claims AI capabilities. Some have AI built in from day one. Some have AI bolted onto a 15-year-old platform six months ago. Some have AI in their marketing copy and rule-based automation in their actual product.
The test question: "Walk me through what your AI specifically does on a COI document. Where does the AI add value vs. OCR vs. human review?"
The right answer is specific: "Our AI extracts policy terms, validates them against your requirements, flags discrepancies, and routes exceptions to a human reviewer." The wrong answer is hand-wavy: "Our AI optimizes the entire workflow." Optimizing a workflow is not a thing AI does. AI does specific tasks.
Lie #3: "Implementation is fast."
In B2B SaaS, "implementation is fast" generally means "implementation will take 60-90 days, but you'll start seeing value sooner than that, sort of, kind of."
For a COI platform, implementation involves: vendor data migration, integration configuration, requirement template setup, vendor portal onboarding, team training, and a parallel-run period where you're using the new platform alongside the old one to make sure nothing breaks.
The test question: "Tell me about a customer in our vertical with similar volume. What was their implementation timeline from contract signature to full production?"
The right answer is specific dates and milestones. The wrong answer is "every customer is different" or "we have a fast-track program that gets you live in two weeks." If your data has any complexity, two weeks is fiction.
Lie #4: "All vendors love using our platform."
The vendor experience is the single most under-tested aspect of COI platform purchasing. Buyers focus on the admin experience because that's what they'll use. The vendors using the platform — your subcontractors, your suppliers, your tenants — are the ones who actually determine whether you achieve compliance.
If the vendor experience is bad, your vendors will avoid the platform, your compliance rate will tank, and your team will spend half their time chasing certificates manually. The platform was supposed to fix that.
The test question: "Send me a link to your vendor onboarding flow as if I were a subcontractor uploading a certificate for the first time. I want to walk through it myself."
The right answer is "here's the link, here's what it looks like." The wrong answer is "we'd need to set up a test account" or "let me get back to you on that." If they don't want you to see it, there's a reason.
Lie #5: "We've never had data accuracy issues."
Every vendor in this category has had data accuracy issues. The question isn't whether they exist; it's how the platform handles them.
The platforms with weak data sources (AMS-based, OCR-only, low carrier integration) have systemic accuracy issues — meaning the data is wrong in patterns, not just exceptions. The platforms with strong data sources (carrier-direct verification, multi-source reconciliation) have exception accuracy issues — meaning most data is right, and the wrong data is flagged for review.
The test question: "What's your published policy verification accuracy rate, and how do you measure it? When data is wrong, how is it flagged and corrected?"
The right answer is specific metrics and a clear remediation workflow. The wrong answer is "our accuracy is industry-leading" or "we don't really see accuracy issues." Both are red flags.
The meta-test
Here's a useful frame for the entire evaluation: the vendors who answer specific questions specifically are usually the better-built platforms. The vendors who pivot every specific question into a marketing answer are usually the platforms with weaker substance.
This isn't about catching anyone in a fib. It's about discovering which products have been built by people who understand the operational reality of COI tracking — and which products were built by people who understand SaaS marketing.
Both categories will sell you software. Only one will fix your problem.
If you want a structured way to apply these tests across the major platforms in the category, our comparison tool is a fast way to surface the differences. Three minutes of your time today saves you eighteen months of regret.