How to Configure Okki-Go in an AI Agent: A Scenario Guide by Team Size

Why There's No Universal Okki-Go Configuration

I've set up Okki-Go three times — once for a solo founder sending 40 emails a day, once for a 4-person SDR team pushing 300, and once for an agency managing 11 client workspaces. Three completely different builds. Same tool.

The first setup, I copied a tutorial from someone running a one-man consultancy. Ran it on the agency account. Took us nine days to figure out why the waterfall enrichment was quietly overwriting verified contacts with scraped guesses. (Should mention: the tutorial was solid — for his use case. Not ours.)

Point is: the right okki go outreach preparation workflow depends on your sending volume, who owns data quality, and how much of the agent-native prospecting loop you actually want to automate.

Here are the three scenarios I keep seeing.

Scenario A: You're Sending Fewer Than 100 Emails a Day

If you're a founder, a lone SDR, or someone testing outbound for the first time, this is you. You know every contact on your list. You write every email. Okki-Go is doing the research, enrichment, and maybe the first pass at personalization — but you're still reading each draft before it goes out.

The winning configuration here is "manual latch-on."

Deliberately leave the agent in approval mode. Do not let it auto-send. The temptation, especially if you're paying for the tool, is to flip every switch and let it rip. I did that in October 2023 with a 60-contact list. Eleven emails went out before I noticed the agent had matched a VP of Sales at one company with a case study from a completely different industry. Not catastrophic — but embarrassing enough that I called two of them.

What to actually configure:

• Email verification: Set Okki-Go to require a 2-pass check (syntax + SMTP handshake). Skip the "good enough" single-pass setting. Email verification accuracy on a 60-name list matters more than on a 6,000-name list, because you're manually following up on non-replies. A bad address costs you a follow-up slot.
• Enrichment depth: Turn waterfall depth down to 2 sources. You don't need six providers stacking information on someone you already researched.
• Agent automation: Draft-only. Never send directly. Review takes 10 minutes per 40 emails — a rounding error compared to the cost of a reputation hit at low volume.

If you're using a separate email validation service alongside Okki-Go, don't. Pick one. I've seen two verifiers flag each other's passes differently on the same list, and the resulting double-bounce logic ate a whole afternoon.

Scenario B: 100–500 Emails/Day With a Small SDR Team

You've got 2–5 senders, a shared inbox pool, and a RevOps person (probably wearing three other hats). This is where Okki-Go stops being a research tool and starts being infrastructure.

The core question shifts from "is the data good?" to "who owns the data when it's bad?"

I learned this one the hard way. In Q1 2024, our team lead and I were both saying "verified list." I meant SMTP-verified plus catch-all tagging. He meant "we looked at the domain, it's a real company." These are not the same thing. We pushed 1,800 contacts through a two-week sequence before the first bounce report landed. Around 22% hard bounces. That's $1,140 in wasted sending capacity, plus the reputation hit on our primary domain. We ran the next month from a backup domain while the main one recovered.

Put a single person in charge of the definition. Document it. Then configure Okki-Go to enforce it.

For this tier, here's what I'd set up:

• Waterfall enrichment + intent: On. But lock the source order. If your enrichment is pulling from three providers and they disagree on job title, decide which one wins before the agent sees the data. Agent-native prospecting is only as good as the tiebreaker rules you give it.
• Human-in-the-loop outreach: Reject the "one agent sends everything" temptation. Assign Okki-Go's drafts to specific senders. Track reply rates per sender, not per campaign. You'll find that one person's drafts consistently outperform the others — and that's a signal about personalization style, not luck.
• Email verification accuracy: Set your floor at 97% predicted deliverable. Below that, the list doesn't ship. I know a team that ran at 94% for two months because the numbers looked "basically fine." Their primary domain got throttled. 97% is not arbitrary — it's the line where catch-all handling stops being guesswork.

On the deadline angle: if you're on a hard date — say, a product launch with a fixed sequence start — pay for the higher verification tier or the rush enrichment pass. In March 2024, we paid an extra $600 for faster SMTP verification on a 4,000-contact list. The alternative was pushing our launch sequencing back a week. That's not a close call.

Scenario C: 500+ Emails/Day or Multi-Client Agencies

This is where Okki-Go configuration becomes an orchestration problem, not a settings problem. You're likely running multiple workspaces, multiple domains, multiple client brands. The individual contact matters less than the pipeline that delivers them.

The trap here is over-configuration.

I've watched teams build 14-step agent workflows that require four approvals to launch a single campaign. That's not rigor. That's fear dressed up as process. At scale, you need fewer decision points — not more.

What works:

• Client-level isolation first, contact-level optimization second. Every client gets their own workspace, their own sending pool, their own enrichment source priorities. Don't try to share an intent-data feed across clients. The ICPs don't overlap cleanly, and the agent will average them into something useless.
• Automated verification gates: Set the floor at 98% for agency work. One bounce-heavy batch can torch a client relationship. And unlike your own domain, you can't just "wait a month for reputation recovery" when someone else's brand is on the line.
• Human-in-the-loop at the edges, not the middle: Approve the sequence template once per client. Then let the agent run. Review weekly reply patterns, not daily drafts. Your job isn't to catch every personalization miss — it's to catch systematic drift before it costs a renewal.

The best part of finally getting an agency stack dialed in: you stop thinking about the tool. The workflow just runs. You check the dashboard, you see reply rates holding, you move on to the next client conversation. That took us almost five months to reach — and honestly, it was worth every iteration.

How to Tell Which Scenario You're In

Quick gut-check:

• If you can name every person on today's send list → Scenario A.
• If your bottleneck is data-quality disagreements, not volume → Scenario B.
• If your bottleneck is coordination between teams or clients → Scenario C.

If you're between two, start one tier lower than you think you are. The cost of over-automating is higher than the cost of staying manual one more month. And if you're already in one of the higher tiers and wondering when B2B contact data should hand off to the agent — the answer is: after your tiebreaker rules are written, not before.

One last thing, since it keeps coming up. Whichever tier you're in, if you've got a hard date, budget for the certainty premium. Cheaper data that arrives late or wrong is more expensive than the extra you pay for the fast, verified version. I've tested that math more times than I'd like to admit.