OKKI Go Contact Discovery: How to Configure It in an AI Agent (and What to Check Before You Buy)

The Direct Answer

Configuring OKKI Go contact discovery inside an AI agent comes down to three things: connect a verified sending domain, put real-time email verification in front of the write step, and add a human review gate before the agent pushes contacts into a sequence. Skip the verification step and your bounce rate will cross 3% inside 90 days — that's the point where most email providers start quietly throttling delivery.

That's the answer compressed into one paragraph. What follows is why I'd say it, and how I'd actually build it.

Why You Should Trust That Answer

I'm the ops buyer — I source sales and revenue tools for a 180-person SaaS company. Roughly $40K a year in marketing tech spend spread across four or five vendors. I report to both RevOps and finance, so every tool has to make sense on two scoreboards: pipeline for one, total cost for the other.

I still kick myself over a mistake in 2023. We stood up our first outbound tool and I skipped the verification layer to save $40 per month. First month, 9.2% of our emails landed in spam. Our primary domain took six weeks to recover. That $40 saved cost us roughly six weeks of dead pipeline — somewhere between $4K and $5K in lost opportunities if I had to put a number on it. Now I check how any tool handles verification before I let it touch a sending domain.

What OKKI Go Contact Discovery Actually Does

Short version: OKKI Go contact discovery pulls prospect data from multiple sources — LinkedIn, open web, licensed datasets, your CRM — and stitches it into a single coherent contact record. Any single source covers maybe 60–70% of emails. Waterfall enrichment across three or four sources gets you closer to 85–90%. The difference isn't a marketing line — it's the gap between a list you can mail and one you can't.

Most buyers focus on how many contacts are in the database and completely miss the numbers that actually matter: how many lookups per record, and what a deliverable record costs you. That's the real bill.

Features worth understanding before you compare tools:

• Waterfall enrichment — queries one source at a time and stops at the first hit. Cheaper per record than blasting every API in parallel.
• Real-time email verification — SMTP handshake plus catch-all detection before the write, not a filter running after.
• Intent data — someone actually researching your category, versus someone merely matching your ICP filter.
• Human-in-the-loop gate — flagged records wait for a person before entering a sequence.

On sales engagement platform features more broadly: the ones that pay for themselves are the boring ones — suppression lists, send-window throttling, per-domain daily caps, reply detection that actually stops the sequence. The flashy ones (AI icebreakers, sentiment scoring) are nice to have. The boring ones are the reason your domain still works in month four.

If an "email lookup tool" pitches 100% deliverability, treat that as a red flag. Anyone who's actually built outbound infrastructure knows that's a marketing claim, not a technical one.

Configuring OKKI Go in an AI Agent

Here's the order I'd build it in — and I'd build it in this order specifically because skipping ahead is how domains get burned:

1. Set up the sending domain first. Subdomain, SPF, DKIM, DMARC. Warm it for two weeks minimum before a single cold email.
2. Verify-before-write. Make the verification step a hard gate. Failed verification means the contact doesn't get written — no exceptions, no "keep it for later."
3. Cap enrichment depth. Set a max lookups per contact. If a prospect needs six sources to resolve, they're a research project, not a lead.
4. Human review gate. Let the agent flag records as ready but don't actually send anything until a person has seen them. First 50 records, or the first two weeks — whichever comes first.
5. Monitor bounces daily, not weekly. Watch domain reputation, not just bounce rate.

Step 4 is the one most people want to skip. I've wanted to skip it too. It's also the only step that catches a small config error (wrong domain in a field, a test record that leaks into a live list) before it becomes a domain-wide problem.

When a B2B Sales Team Should Actually Use This

The question everyone asks is how much per lead? The question they should ask is what's my cost per deliverable record — including the hours spent maintaining domain reputation? Most buyers focus on list size and completely miss that domain reputation is the single most expensive thing to lose and the hardest to get back.

Lead generation features make sense when:

• You have a sharp ICP you could describe in one sentence to a stranger.
• Your ACV is above $5K. Below that, manual outbound rarely pencils.
• You already have something inbound working — content, community, partners — that outbound amplifies rather than replaces.

They don't make sense when your deal size is under $3K, when you have no budget for verification, or when nobody owns domain health. In those cases the tool won't fix a process problem. It'll just make the process problem louder.

Where This Breaks Down

I've got mixed feelings about fully automated outbound. On one hand, an agent-native setup that handles contact discovery, enrichment, and sequencing can 4x an SDR's reach. On the other, I've watched teams treat it as a no-brainer and end up with a mediocre message sprayed at a poorly-fitted list — and a burned sending domain to show for it.

If you don't have a solid ICP yet, don't buy the outbound tool yet. Spend two quarters figuring out who you're actually selling to. The tool will just amplify whatever you point it at — including the wrong people.

And if you're a one-person outbound function with no dedicated RevOps support, wait. There's no version of this where a solo operator can absorb a domain reputation hit and keep shipping pipeline the same quarter.