Okki-Go Emergency Checklist: Uninstall, Rebuild Your Agent Workflow, and Add Email Verification Without Breaking Outbound

I lead emergency outbound cleanups at a B2B revenue operations company. I've handled 40+ rush campaign migrations in six years, including same-day fixes for SaaS and agency clients. In March 2024, 36 hours before a webinar, a client's Okki-Go instance started duplicating sequences and sending unverified contacts into a LinkedIn-triggered cadence. We didn't need a platform debate. We needed a checklist.

This is that checklist. Use it if you're trying to uninstall Okki-Go, rebuild an Okki-Go agent workflow elsewhere, evaluate email verification API documentation, compare email verification service features, or figure out what an AI email writer is and when a B2B sales team should actually use it. Seven steps. No theory-first detour.

Who This Checklist Is For

You're a B2B sales ops, RevOps, SDR manager, or outbound agency lead. You have a campaign, event, or pipeline review coming up. Your current stack has Okki-Go in it somewhere—maybe as a prospecting layer, maybe as an agent workflow, maybe as a verification handoff. You need to migrate, clean, or replace part of it without losing data or burning domains.

If you just want a high-level comparison of AI SDR tools, this isn't that. This is for the person who has to click the buttons.

Step 1: Freeze the Account and Export Everything Before You Uninstall Okki-Go

When I first started migrating outreach stacks, I assumed uninstalling the app was the first step. It isn't. The first step is freezing changes and exporting data. If you search for how to uninstall okki go, you'll find removal instructions. The mistake is treating removal as the migration. Removal is the last step.

Do this in order:

• Turn off active sequences, campaigns, and LinkedIn-triggered workflows.
• Export contacts, account lists, verification statuses, suppression lists, and reply history.
• Download any workflow maps: triggers, delays, conditions, enrichment steps, verification steps, and CRM sync rules.
• List every integration: CRM, email sending tool, LinkedIn, enrichment provider, intent data source, webhook, and API key.
• Document seat owners and admin roles. If one person leaves, you don't want the account orphaned.

In March 2024, that webinar migration worked because we exported the suppression list first. A previous client skipped that step in 2023 and re-contacted 1,200 opted-out prospects. That's not a deliverability problem. That's a trust problem.

Step 2: Map Each Okki-Go Function to a Replacement—Not the Whole Product

From the outside, it looks like you replace one AI SDR platform with another. The reality is you replace functions. Okki-Go might be doing prospecting, enrichment, intent scoring, verification, sequencing, and AI writing. Your new stack doesn't have to do all six. In fact, it probably shouldn't.

Create a simple table in your head:

• Contact discovery → enrichment or database tool
• Waterfall enrichment → enrichment API or native CRM enrichment
• Intent data → intent provider or signal layer
• Email verification → email verification API or verification service
• Sequences → outbound sending platform
• AI writing → AI email writer with human review

This is where the expertise boundary matters. The vendor who says 'this isn't our strength—here's who does it better' earns trust. Don't force one tool to be your discovery, verification, intent, sequencing, and CRM layer just because it has a tab for it. Specialists usually beat generalists inside a specific function.

Step 3: Rebuild the Okki-Go Agent Workflow as an Explicit Flow

An okki go agent workflow often feels invisible because the agent decides what to do next. When you migrate, make those decisions visible. Write the workflow as a flow with inputs, conditions, actions, and exits.

1. Trigger: new account matches ICP, new intent signal, or manual list upload.
2. Enrich: add firmographics, technographics, and contact details.
3. Verify: run email verification before any sequence enrollment.
4. Score: apply intent or fit score.
5. Personalize: draft with an AI email writer or template.
6. Review: human-in-the-loop approval for first-touch and high-value accounts.
7. Send: push to sequencer; respect suppression and frequency caps.
8. Sync: write activity, replies, and verification status back to CRM.

Don't automate the review step away. The value of an agent-native prospecting workflow is speed with boundaries, not blind sending. If a step has no owner, it will break during a rush.

Step 4: Read the Email Verification API Documentation Before You Connect It

Email verification API documentation is boring until it isn't. In rush migrations, teams connect the API, see a valid score, and upload 10,000 contacts. Then hard bounces spike because catch-alls, role accounts, and risky domains were mixed into the same bucket.

Before you connect any provider, check the docs for:

• Verification methods: SMTP, MX, syntax, catch-all detection, disposable domain checks.
• API limits: requests per second, batch size, concurrency, retry rules.
• Webhooks: real-time results, status changes, and failure notifications.
• Data retention: what gets stored, for how long, and where.
• Compliance: GDPR, CCPA, SOC 2, or region-specific handling if you sell globally.
• Scoring: what valid, risky, catch-all, and unknown actually mean.

As of April 2026, verification vendors still vary widely in how they treat catch-all domains. Verify current documentation before you build logic around a single status. No provider should be treated as perfect, and verification does not replace inbox-placement monitoring.

Step 5: Compare Email Verification Service Features by Workflow Fit

Feature lists all look similar. Workflow fit is what matters. A high-volume outbound agency needs different features than a 5-person SaaS sales team.

Use these checkpoints:

• Bulk verification vs real-time API: do you verify lists or individual form fills?
• Waterfall enrichment + verification: can it enrich missing emails, then verify without exporting?
• CRM sync: does verification status update the contact record automatically?
• Suppression handling: does it respect unsubscribe and do-not-contact lists?
• Reporting: can you see bounce risk by source, campaign, and domain?
• Human review: can you route risky contacts for manual approval?

I've tested six verification workflows across B2B campaigns. The pattern is consistent: the best workflow isn't the one with the longest feature page. It's the one that stops bad contacts before they enter the sequencer.

Step 6: Decide When an AI Email Writer Belongs in a B2B Sales Team

What is an AI email writer? It's a tool that drafts or rewrites outreach using context: prospect data, intent signals, past replies, and your offer. It's useful when a B2B sales team has clean data, a defined ICP, and enough volume to justify personalization.

It's a bad fit when:

• Your list isn't verified yet.
• Your ICP is still 'anyone with a pulse and a budget.'
• No one reviews first-touch emails for high-value accounts.
• You expect it to replace SDR judgment entirely.

Use an AI email writer for first drafts, subject-line variants, localization, and re-engagement sequences. Keep a human in the loop for enterprise accounts, pricing, legal, or anything that sounds like a commitment. That's not a weakness. That's risk control.

Step 7: Roll Out in Waves and Measure What Actually Broke

Don't migrate 20,000 contacts on a Monday. Run a wave: 500 to 1,000 contacts from one source, one sequence, one sending domain or inbox group. Measure hard bounces, catch-all handling, reply quality, meetings booked, and CRM sync errors.

Set exit criteria before you start:

• Hard bounce rate under your internal threshold.
• No duplicate sends to suppressed contacts.
• Verification statuses written back to CRM.
• At least one human-reviewed AI draft approved.
• Workflow runbook documented for the next emergency.

Last quarter alone, we processed 47 rush outbound migrations with 95% on-time delivery. The ones that failed were almost never technical. They failed because no one owned the handoffs.

Common Mistakes and Notes

• Uninstalling before exporting. Once seats and API keys are gone, recovery gets expensive.
• Revoking API keys too late. Old integrations can keep writing data after migration.
• Treating verification as a yes/no. Catch-all, risky, and unknown need different handling.
• Letting AI write and send without review. Use it for drafts, not blind commitments.
• Migrating every workflow at once. Move one revenue-critical workflow first.
• Ignoring suppression lists. Re-contact risks compliance and domain reputation.

If you're in a rush, the order is simple: export, map functions, rebuild the agent workflow, read the API docs, verify a small batch, decide where AI writing helps, then roll out in waves. Remove Okki-Go only after the new workflow passes its first wave. The deadline is real. The checklist is what keeps it from becoming a fire.