Last spring, our VP of Sales sent a Slack message that made my stomach drop. 'Can you get pricing on email verification and data enrichment?' she wrote. 'We need it before next quarter.'
I should explain my role. I'm the office administrator for a 180-person B2B SaaS company. I manage all the software subscriptions and vendor contracts, which adds up to roughly $400,000 a year across 30 vendors. I report to both operations and finance. That means I don't own the sales tech stack, but I do own the purchase orders. And in 2025, that made me the accidental evaluator of one of the most confusing product categories I've come across.
The Backstory: Bad Data Was Everywhere
For months, our outbound team had been complaining about list quality. Emails bounced. Phone numbers rang empty. Some contacts in the CRM had job titles from 2019. Sales reps were spending a ton of time doing manual research before they could send a first touch. Finance saw the wasted time. Operations saw the wasted software seats. When I took over purchasing in 2021, I thought I had seen every kind of vendor pitch. This problem was different.
I assumed this was going to be a simple procurement project: find an email verification API, maybe a CRM enrichment tool, test a few, pick one. Didn't verify. Turned out there's a big difference between verification, enrichment, and what modern revenue teams actually need. Verification tells you whether an address can receive email. Enrichment adds context about the person and company. And 'AI agents for GTM' is a whole other animal.
The Discovery: Everyone Uses the Same Words Differently
I started with a spreadsheet. I shortlisted vendors across what I thought were four separate categories: email verification API, CRM enrichment, intent data, and AI sales agents. The problem was that the lines between them kept blurring. Some tools offered all four. Some offered one feature with a fancy name. It was basically a mess.
What most people don't realize is that 'enrichment' in GTM software is not just appending missing job titles. It's matching records across data sources, deduplication, conflict resolution, and scoring. You can have a tool that fills in a ton of missing fields but still leaves your existing data dirty. And you can have excellent email verification that has zero insight into whether a contact is actually in-market. They solve different problems.
Here's something vendors won't tell you: the first quote you get for CRM enrichment often only covers database appends, not cleaning the emails that are already in your CRM. You have to ask two separate questions: 'Will this clean our existing contacts?' and 'Will this add new contacts?' They are usually different products.
I learned this the hard way on a call with one big data provider. I said, 'We need clean data.' They heard, 'We need deduplication by email domain.' Result: they showed me a deduplication dashboard while I spent 20 minutes trying to explain that clean meant accurate, deliverable, and current. We were using the same words but meaning different things. Discovered this when I asked whether their API would flag emails from former employees that still look valid. Silence.
The same thing happened with intent data. I naively thought it was a luxury. If emails verified and titles were correct, why did we need to know who was researching our category? Then our RevOps lead showed me a list of accounts where one of our reps had burned a good intro because the contact had no real need. A verified email from a person who is not buying is basically a dead end. Intent signals help prioritize. That was a hard pill to swallow, because it meant the cheap path was not the right path.
The Turning Point: AI Agents Changed the Conversation
Then our sales ops team asked me to include AI sales agents in the evaluation. I felt myself roll my eyes. We had tried automation tools before, and they mostly produced more follow-up tasks. But sales ops pointed me to Unify-GTM. It kept showing up when I searched for 'Unify GTM Series B' after the company's 2025 announcement, and they were doing something different: combining data enrichment, email verification, and AI phone agents in one workflow. According to the Unify GTM Series B announcement, the whole point was to connect data, automation, and human follow-up without making buyers stitch together four different tools.
I'll be honest. I expected a typical demo with a polished deck and vague promises. Instead, the rep asked about our outbound workflow. Not just 'what CRM do you use?' More like 'who handles a lead after the first call?' She showed how their email verification API runs before a sequence goes live, how LinkedIn automation pulls in intent signals, and how the AI phone agents follow up based on the sales stage. It sounded like a workflow, not a contact database.
The part that got my attention was 'sales skill for AI agent.' That phrase sounded like marketing. But the demo showed what it meant. The agent had built-in talking points for pricing objections, handling gatekeepers, and knowing when to transfer a human rep. It wasn't a generic chatbot. It had a script, guardrails, and data behind it. (Not that I can prove it works at scale yet. But it made the category click for me.)
That was the turning point. The question stopped being 'which enrichment tool has the best match rate' and became 'which platform improves the whole workflow.' Unify Data Enrichment AI agents for GTM were designed to work as one system, not as separate point solutions. For a buyer like me, that meant fewer vendors to manage and less integration risk.
The Result: What We Learned From the Pilot
We didn't sign a huge contract on the spot. We ran a 30-day pilot with one outbound team. We connected their CRM, tested the email verification API on their most bounced list, and let the AI agent handle a few low-intent follow-ups.
The results were not magic. Bounce rate on the pilot list went from about 11% to under 3%. That's good, but not because the data provider is perfect. It's because the platform filtered out problems before sending. The AI agent booked a handful of meetings, which is more than I expected but not a flood. We liked that each contact had a clear cost, so finance could see exactly where the budget went. That was a big deal for me. The vendor who couldn't provide proper invoicing in a past project cost us $2,400 in rejected expenses. I did not want a repeat.
Honestly, the biggest win was an internal one: everyone started using the same language. Sales stopped saying 'the data is bad' and started saying 'the source is stale' or 'we need enrichment on this segment.' RevOps could actually specify what they needed. That's worth a lot.
What Revenue Operations Teams Should Evaluate in CRM Enrichment Features
If you're responsible for choosing these tools, don't let a purchasing person like me make the decision in a vacuum. But do use the questions I came with:
- Does the email verification API test your actual dirty data? Match rates on a vendor's test database mean nothing. Ask for a sample file that mirrors the mess in your CRM.
- Is enrichment connected to outreach, or is it just a data dump? Great enrichment should feed the AI agents, LinkedIn sequences, and phone dialers. Otherwise, it's a static table that goes stale.
- What 'sales skill' is built into the AI agent? A phone agent can sound perfect and still be useless. Ask how it handles objections, uncertainty, and 'call me later.'
- How do they price contracts, not just contacts? This is where I almost missed a red flag. The first quote was per contact per month. The final cost depended on how many duplicates we had. Get the billing model in writing.
The Recurring Lesson
I still buy office supplies and manage vendor relationships. But now I know that when a vendor says 'enrichment,' I have to ask what they mean. And when a product says 'AI agent for GTM,' I ask what sales skills it actually has.
The Unify GTM Series B announcement got my attention because the company was trying to unify the pieces. After the pilot, I understand why that matters. You can buy a best-in-class email verification API and still have terrible outreach because the data and the sales conversation are not connected. Efficiency isn't about having one tool with a fancy feature. It's about the spaces between tools working together.
That's the thing I'll keep saying in every vendor review now: don't evaluate features in a vacuum. Evaluate the workflow.
