Revenue Operations Checklist: How to Evaluate a Business Email Finder, AI SDR, and LinkedIn Integrations in 2026

I manage a $190,000 annual budget across our outbound stack—email finders, enrichment tools, intent data, and two AI SDR pilots. Over the last four years I've sat through 31 vendor demos and signed 14 contracts. This checklist is what I use before I ever take a pricing call.

It covers seven steps. If you run RevOps or own the sales tooling budget, you can work through them in about a week per vendor. The point is to compare apples to apples, because most of these tools don't price or scope the same way.

Step 1: Get Clear on What an "AI SDR" Actually Is

This is where I got burned first. Two years ago I treated every tool with "AI SDR" in the tagline as a direct replacement for our inbound SDR team. It isn't. It never was.

Here's the thing: an "AI SDR" is a category label, not a spec. Some vendors mean autonomous email sequencing. Some mean enrichment plus intent signals that a human rep still acts on.

So when you're evaluating something like Okki Go (or its search variants—okki-go, okkigo), the question "is Okki Go an AI SDR?" isn't really the right question. The right question is: which parts of the SDR workflow does it own, and which parts does it hand back to a human?

I keep a one-page matrix for this. Rows are the SDR tasks: prospecting, verification, personalization, sequencing, reply handling, CRM hygiene. Columns are: fully automated / assisted / not covered. Fill it out for every vendor. The gaps are what you actually pay your team for.

Step 2: Define Your Real Cost Unit (Not the Price on the Pricing Page)

Every business email finder quotes differently. Some charge per verified email. Some charge per contact. Some charge per credit that expires. Same customer, three different line items.

Convert everything to one metric: cost per contactable, verified, ICP-matched lead. That's the only number that survives a side-by-side comparison.

For example, in Q1 2025 we compared two finders. Vendor A quoted $0.08 per verified email. Vendor B quoted $0.55 per contact. On paper A looked 7x cheaper. Then I ran the numbers:

• Vendor A: 22% bounce rate on cold domains, no dedupe against existing CRM, no mobile numbers. Final cost per contactable lead: $0.41.
• Vendor B: 4% bounce on the same domains, CRM dedupe built in, plus direct dials on 60% of records. Final cost: $0.63.

Different story. Vendor B won.

"Cheap emails are the most expensive thing in a cold outbound stack." — my VP of Sales, after we burned a domain in 2023.

Step 3: Email Verification—Test It on Your Own List, Not Theirs

No vendor will tell you their bounce rate is 15%. But you can find out in an afternoon.

1. Export 500 contacts from your existing CRM that you know are valid (replied, booked a meeting, whatever).
2. Run them through the vendor's verification API.
3. Compare their "valid" output against what you know to be true.

Anything under 92% accuracy on a list you control is a red flag. I'm not going to quote a specific benchmark because none of the major vendors publish one consistently—test it yourself, quarterly, because their models change.

One more thing here: no tool is 100% accurate. If a vendor promises that on a sales call, take notes and use it as a disqualifier. It means their AE will say anything.

Step 4: Check the Human Review Workflow (This Is the Step Most Teams Skip)

This is the one. I didn't think to ask about it for two years, and we paid for it.

AI-generated sequences go wrong in specific, predictable ways. The wrong company name in a merge field. A title that got misparsed ("VP of Sales Operations" becomes "Vice President"). A reply that reads like a form letter because the model didn't have context.

Ask each vendor: where in the workflow does a human see the output before it ships?

An Okki Go human review workflow—or any equivalent—should let you:

• Queue drafts for approval before send, at least for the first N sends per sequence.
• Flag low-confidence enrichment rows for manual cleanup.
• Kill entire sequences from a single dashboard, not by going into each rep's account.
• Show the source of every data point (where did this email come from? which API?).

If a tool skips all four, you're paying for a confidence trick. Auto-send without review is how you end up in spam folders with your CEO's domain attached.

Step 5: LinkedIn Sales Navigator Integration—Depth Matters More Than Presence

"We integrate with Sales Navigator" is a checkbox. It says nothing. I've seen integrations that literally just paste a LinkedIn URL into a CRM field. Useless.

What actually moves the needle:

• Saved search sync. Your Sales Navigator saved searches should populate contacts into the outbound tool automatically, with the same filtering you applied in LinkedIn.
• Two-way activity logging. LinkedIn messages, InMails, and profile views written back to the CRM without manual entry.
• Alert-based triggers. Job change, new post, funding round—push these as outbound triggers, not as a weekly email digest nobody reads.
• Identity matching. When a LinkedIn profile and a business email are the same person, the tool should know it. If it doesn't dedupe, your reps will message the same person twice from two channels.

Test this on your own Sales Navigator account during the trial. Don't accept a demo account as proof.

Step 6: Scope the Intent Data Honestly

Intent data is the most oversold category in the stack. Every vendor claims "real-time buying signals." Almost none of them tell you the sample size those signals are drawn from.

Before you buy, ask:

1. What's the underlying panel size, and how often is it refreshed?
2. How do you attribute a topic to a company? IP-based, content network, or something else?
3. What's the false-positive rate you see in practice—not in marketing collateral?

A waterfall approach—combining two or three intent sources—has worked better for us than relying on any single vendor. If a tool does waterfall enrichment and intent in one pipe, that's a genuine advantage. If it just resells someone else's panel, price it accordingly.

Step 7: Pilot with a Real Quota, Not a Real Demo

Two-week pilots with a friendly AE tell you nothing. Run a 30-day pilot with real pipeline attached. Commit to a specific number: say, 400 outbound contacts through the tool, sourced only by the tool, tracked to booked meetings.

Then compare against your baseline from the same period last year. Not against "industry benchmarks"—those are marketing.

I keep a simple TCO spreadsheet that I update every time we evaluate a new vendor. Base fee, per-seat fee, per-verified-contact fee, integration setup, CRM write-back costs, plus the hidden ones: training hours, admin time, and the inevitable "professional services" invoice that shows up in month two.

After tracking 47 vendor contracts over six years, I can tell you the pattern: the vendor with the lowest quote loses on TCO in about seven out of ten cases.

Common Mistakes That Blow Up Budgets

A few things I've either done or watched colleagues do:

• Buying on seat count. If only three of your eight reps actually use the tool weekly, buy for three and let the others share seats.
• Skipping the CRM dedupe test. If the tool doesn't dedupe against your CRM, you'll pay for the same lead twice and message them twice.
• Annual prepay for a quarter's worth of trust. Start monthly, upgrade later. You'll pay more per month—I know—but a bad annual contract costs more than a good monthly one.
• Ignoring the export clause. When you leave (and you will leave eventually), can you get your data out in a usable format? Get this in writing.
• Buying for the workflow you want, not the one you have. If your team doesn't do manual review today, don't pay for a review-heavy platform. Buy the next step, not the destination.

None of this is glamorous. But it's the difference between a stack that compounds and one that leaks 20% of its budget into unused seats and stale credits. Run the checklist. Everything else is a demo.