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Prospecting field note

What Should Revenue Operations Teams Evaluate in AI SDR Features? A 7-Step Checklist

Maybe you came here after reading a “HeyReach vs Waalaxy comparison.” Maybe you saw “waalaxy outil prospection linkedin” in a French-language search and wanted a second opinion. Either way, the question isn’t which tool looks more impressive in a demo. It’s which one holds up when your SDRs, mailboxes, and CRM have to work together.

I’m not a RevOps consultant. I’m the person who gets stuck managing vendor procurement for a 40-person sales team. When we needed to replace our accidental stack of “use-a-free-trial-everything” tools, I ran a five-week software review. This checklist is the part I actually used.

If you’re about to evaluate AI SDR features, cold email platform features, website visitor tracking, or get stuck in a “HeyReach vs Waalaxy comparison” rabbit hole, this is for you. Follow these seven steps in order. Most of them take less than ten minutes—no, stop. Set aside a full afternoon. You’ll thank yourself later.

1. Map the handoffs before you look at AI SDR features

First question: where does the sequence end and the CRM begin? If a lead replies and books a meeting, what fields need to be populated? Who owns the next step? If you can’t answer that, an AI SDR feature is only going to produce more friction.

Write it down: trigger → sequence → reply → meeting booked → handoff → CRM. For us, the handoff field was the source of a past disaster. I only believe this step matters because I once skipped it and let a “quick” pilot run without the handoff set up. We had 14 meetings booked. Only 3 made it to the CRM correctly. (Should mention: the other 11 were in the SDR’s inbox, not the pipeline.)

Use this as the baseline for every feature you evaluate.

2. Look at the human-in-the-loop review queue first

Most AI SDR platforms can draft personalized outreach. The important question is: what happens before it goes out?

Is there a review queue? Can an SDR approve or edit the AI’s message before sending? Can a manager pause a sequence? Does the AI send automatically, or only after someone clicks “approve”?

I knew we should check human review. But I thought “we’ll review every email anyway” and moved on. That was the one time it mattered: one teammate hit “send all” on 700 invitations that still had placeholder brackets. No ban happened, thank goodness, but the reaction time to recover was longer because the platform had no pause-and-edit flow.

LinkedIn’s User Agreement doesn’t have a “safe automation” clause. It restricts unauthorized scraping and automated activity. Build your playbook as if those terms will be enforced. — LinkedIn User Agreement

If you can’t tell the vendor exactly who reviews what, you’re buying a liability, not a tool.

3. Inspect the cold email platform features that protect deliverability

An AI SDR can write a subject line that gets clicks. But if the email lands in spam, what’s the point?

Check these before you sign anything:

  • SPF, DKIM, and DMARC configuration visibility. Can you set up a custom sending domain from the platform?
  • A custom tracking domain. If the platform uses its own domain for click tracking, that’s a deliverability risk.
  • Sending limits and ramp-up. Does the platform slowly increase volume, or let you blast 5,000 emails on day one?
  • Suppression handling. Does it automatically remove unsubscribes? Does it honor bounce lists?

Also, ask about warmup. Some platforms include it; others sell it as an add-on. The “budget” plan can become expensive once you add warmup, verification, and extra sending domains.

One thing I would never skip now: verify the physical address line. Under the U.S. CAN-SPAM Act, commercial emails need a valid postal address and a clear opt-out. A platform that doesn’t enforce that in its templates is a compliance problem waiting to happen.

Under CAN-SPAM, each email must include a clear opt-out and a valid physical postal address. — FTC

4. Trace the verification and bounce pipeline

It’s tempting to think “email verification is email verification.” But the difference shows up in your sender reputation.

Ask these questions:

  • Does the platform verify emails before a sequence, or does it verify on import only?
  • What happens to hard bounces? Are they suppressed automatically? Do you get a report?
  • Soft bounces? A single soft bounce isn’t fatal, but repeated soft bounces affect sender score.
  • Is verification built into your plan, or an extra per-email fee?

I’ve eaten this cost once. I saved $60 a month on a platform that didn’t include ongoing verification. By the time we paid for verification as an add-on and fixed a recycled-domain list, the “cheaper” platform was $300 a month more than one with it included. That’s the cost of skipping the check.

Don’t compare base prices. Compare the price after you add the features that make a sequence safe.

5. Evaluate website visitor tracking as a signal, not a new lead source

Website visitor tracking is one of those AI SDR features that sounds like magic. You open a dashboard and see companies visiting your pricing page. You then target them. But the details matter.

It’s tempting to think “more visitors = more leads.” The oversimplification ignores the context. A visit to /pricing could mean “ready to buy” or “job hunting.” A visit to /careers probably doesn’t mean “buy our software.” You need to know both the page and the path.

Where is the data coming from? Is it company-level IP data or cookie-based? Can you exclude visitors who didn’t opt in? Can you configure what counts as intent? For us, the deal-breaker was consent and suppression. If a company is on your do-not-contact list, does the visitor tracking tool still surface them? If it does, you have a data compliance problem. Don’t let the “cool dashboard” override that.

GDPR requires transparency and a lawful basis for processing personal data. For visitor tracking, confirm the platform lets you configure consent and honor suppression. — GDPR Art. 6

6. Run your own side-by-side test (HeyReach vs Waalaxy)

Comparison articles, including this one, are just starting points. When you get to a shortlist, run your own side-by-side with the same input.

Here’s how we did our test:

  1. Same list of 500 fresh leads for each tool.
  2. Same email copy and same LinkedIn message pattern.
  3. Same send window of 14 days.
  4. Measure reply rate, meetings booked, data passed to CRM, and time SDRs spent on review.

In a HeyReach vs Waalaxy comparison, you’ll see different design philosophies. HeyReach is built around managing multiple LinkedIn accounts and client workspaces, which makes sense for agencies. Waalaxy is built more for an in-house SDR team that wants LinkedIn sequences and email in one queue, with an approval step for human review. I’m basing that on public product pages and demos, not a commissioned benchmark.

But a product philosophy only matters if it matches how your team works. If your SDRs live in the CRM, the platform that syncs the cleanest wins, even if its feature list looks smaller.

One thing to test specifically: what happens when a lead replies on LinkedIn? Does the conversation stay visible? Does the AI draft a suggested reply? Does that reply require human approval? That’s where the “AI SDR feature” either saves time or creates a new mess.

I would have never believed that a 500-record test would catch so many issues—until we ran it. The tool with the prettiest UI had the worst reply routing. The tool we almost skipped had the cleanest handoff.

7. Read the offboarding and data deletion clauses

This is the unsexy step that most people ignore. But it matters.

Ask: if we cancel, can we export sequences, templates, sent history, and verified contacts? What about visitor tracking data? How long does it take to delete? Are there hidden fees?

A vendor that locks your data in is a red flag. The trust you want from an AI SDR vendor is trust with your data, not just with your credit card.

Our chairman used to say, “The way a vendor treats you when you leave is the way they would have treated you all along.” I didn’t fully believe it until I left a vendor that required a written request and took three weeks to export. We had to rebuild everything from scratch. Now the offboarding clause is part of my evaluation before I sign, not after I need it.

Three mistakes to avoid when evaluating AI SDR features

These don’t belong in a specific step. They belong everywhere.

Mistake 1: Buy features, not workflow fit

It’s easy to get excited about “AI research, AI writing, AI scoring.” But if the AI can’t write in your voice or route the lead to the right owner, it doesn’t matter.

Mistake 2: Compare prices without the compliance stack

Verification, warmup, custom tracking domains, and human review seats are not optional extras. They’re the cost of doing cold outreach. The cheapest base plan is often the most expensive plan once you add those.

Mistake 3: Ignore the human queue

I get it. Human review feels like it slows things down. But a 10-second review of a bad sequence saves a 10-day cleanup. That’s the simplest version of the whole checklist.

Bottom line: evaluate AI SDR features after the boring parts

AI SDR features only help if they’re connected to a system where infrastructure, review, and data flow are solid. Whether you’re comparing cold email platform features, website visitor tracking, or the HeyReach vs Waalaxy question, run the seven steps first. You’ll probably find that the best feature isn’t the one you saw in the demo; it’s the one you didn’t have to patch later.

5 minutes of verification beats 5 days of correction. That’s the whole checklist. Save it for the next vendor demo.

Julian Hartwell

Julian Hartwell

Julian Hartwell is an independent B2B sales intelligence analyst covering contact databases, company data, decision-maker profiles, direct dials, prospect lists, and buying signals. He applies the ISO/IEC 25012 data-quality model while examining field accuracy, coverage, freshness, duplicate rate, match confidence, and source transparency. His evidence-led guides help revenue teams compare prospecting platforms, define acceptable data thresholds, and build account lists that support reliable territory planning and outreach.