I manage purchasing for a 150-person B2B company. That means I buy a lot of software—roughly $200k a year across 25 vendors. I report to operations and finance, which is a polite way of saying I get blamed for bad purchases twice: once when we buy, and again when we have to explain the renewal.
I'm not a RevOps expert. But I'm the person who reads the contract, checks the invoice, and asks the dumb questions about data. When I hear "AI SDR didn't work," my first thought isn't about the AI. It's about the contact data feeding it.
This is not a full Artisan AI review. It's a framework I use when I evaluate any AI SDR company for lead generation. If you're comparing platforms, write this down.
The surface problem: you're evaluating the wrong thing
When most RevOps teams look at an AI SDR, they check three things: the G2 rating, the feature list, and the size of the contact database. Those are easy to compare. But they don't tell you whether the tool will actually produce pipeline.
I went back and forth between an established data provider and a newer AI SDR for two weeks. The established vendor had cleaner enrichment. The AI SDR promised more automation and less manual work. We chose the AI route because our reps were spending too many hours prospecting. The speed of the tool turned out to be irrelevant. The quality of the contacts mattered much more.
The deeper issue: contact data rots quietly
Here's what I learned sitting on the buying side. Contact data doesn't fail on day one. It fails quietly, then it fails loudly, and by then the pipeline is already empty.
Most teams assume the vendor will clean the data for them. In my experience, that's backwards. The vendor gives you access to a data set. Your RevOps team still has to decide which records are worth contacting. The AI SDR is a fancy engine. Contact data is the fuel. Nobody buys a car and then ignores the fuel type.
Stale data is a time problem, not just a data problem
People change jobs. Companies change tools. Titles change meaning. I won't quote a statistic I can't verify, but in our own CRM I saw records that were 18 months old with titles that didn't exist anymore. The AI SDR didn't know that. It put those contacts into sequences and burned send volume. To be fair, no AI can solve that unless the data layer tells it what's fresh and what's not.
Enrichment is not verification
This, if you ask me, is the biggest mistake RevOps teams make. A platform can say "we have 300M contacts" or "we'll enrich your records." But enrichment can mean taking a wrong record and adding a new email guess to it. Verification means checking that the email exists and can actually receive mail. Those are very different things.
If you don't ask which one your vendor is doing, you're buying confidence, not data.
Identity resolution is harder than it sounds
The same person can appear three times in your CRM: once at an old company, once with a personal email, once from a purchased list. A good AI SDR should merge those into one clean profile. A lazy data pipeline treats them as separate leads. That's how you send the same message twice and look like you don't remember the prospect. Not a great look.
Deliverability can hide data problems
Here's the part that surprised me. A low bounce rate doesn't mean good data quality. If an email goes to a catch-all server, it doesn't bounce—it just disappears into an inbox nobody reads. Your dashboard looks fine, your open rate looks fine, and your pipeline stays empty. The metrics agree with you, and the results don't.
The real cost of bad contact data
Let's talk about cost the way I have to talk about it. Bad contact data doesn't just cost you deals. It costs you trust, and trust is harder to buy back.
- Reps stop using the tool. After two weeks of bad leads, your best SDR will go back to their own manual lists. The AI SDR becomes a line item, not a system.
- Your domain gets burned. Sending too many emails to stale addresses hurts sender reputation. You can have perfect copy and still land in spam.
- Finance starts questioning every renewal. This is where I live. A failed AI SDR renewal becomes "why did we buy this again?" That makes every future sales tool harder to justify.
I learned a version of this lesson in 2020. I approved a vendor because the price was great and the demo was smooth. Then they couldn't provide proper invoicing. Finance rejected the expense report, and I had to cover it out of the department budget. Now I verify operational basics before signing anything. Contact data is the same kind of basic for an AI SDR.
What should revenue operations teams evaluate in contact data?
Okay, here's the practical part. When you're evaluating an AI SDR, put aside the demo for a minute and look at contact data with six questions:
- Source transparency. Where did the contacts come from? Opt-in sources, public business records, or scraped LinkedIn? If the vendor can't answer, that's a red flag.
- Field freshness. When was the last time the data was verified? Does each record show a verification date? "Last updated six months ago" is not fresh in B2B.
- Verification method. Does the platform do real email verification? Does it flag catch-all domains? I'd rather have 5,000 likely-to-reach contacts than 50,000 guesses.
- Identity resolution. How does it handle duplicates and job changes? Ask to see a sample output on your own CRM data before you buy.
- CRM integration depth. Does it append data or does it overwrite good records? HubSpot and Salesforce integrations matter more when they respect existing data.
- Compliance posture. This is my admin nightmare. Is the data collected and used in line with GDPR/CCPA? A vendor that can't talk about consent is not ready for serious teams.
I'm not saying email finder and LinkedIn Sales Navigator automation don't matter. They do. But they're only as good as the data they sit on. It's like buying an expensive espresso machine and then using stale beans. You get hot water and regret.
The G2 rating question (and why I don't trust it alone)
People ask me, "What's the Artisan G2 rating for AI SDR?" I understand. Reviews are a useful starting point. But a G2 rating tells you how a product felt in someone else's environment. It doesn't tell you how it handles your specific contact data mess.
I'd rather see an Artisan AI SDR demo run against a small, messy segment of our own CRM. I want to know how it handles outdated titles, duplicates, and catch-all emails. The 300M contact database and native HubSpot/Salesforce integration sound good for lead generation. But I'd still run a test campaign before committing to a year.
The surprise for me was simple: the difference between a good AI SDR and a bad one is rarely the language model. It's the contact data layer behind it. Artisan AI is interesting because it treats data automation as part of the product, not an afterthought. Still, no tool should be trusted with dirty data.
Also, when you evaluate an AI SDR, don't let the demo hide the data. A polished demo with hand-picked sample records can make any vendor look good. Ask them to run it on your actual list. If they hesitate, that's a deal-breaker for me.
Honest limitations
I'll be straight with you, because I hate salesy nonsense as much as the next person. If your team is small and your prospecting is focused on 20 named accounts, you probably don't need an AI SDR with 300M contacts. LinkedIn Sales Navigator automation and a simple email finder might be enough.
And if your CRM is so messy that you don't know what "clean" looks like, don't buy an AI SDR yet. Buy a data audit first. That's not a fun purchase, but it's the right one.
My experience is based on mid-size B2B purchases, not enterprise-scale data operations. If you're a 5-person startup or a Fortune 500, your mileage will differ. And the market moves fast—what was true in early 2026 may not be true when you're reading this. Verify current G2 ratings, features, and pricing before you budget.
Bottom line
If you're building revenue operations, make contact data the first evaluation item. Ask about source, freshness, verification, identity resolution, and compliance—not just database size.
I'd still recommend Artisan AI as one option to consider, especially if you want an autonomous AI SDR and already use HubSpot or Salesforce. But only if you're ready to do your part. The best AI in the world can't sell to a person who doesn't exist.
