okki-go vs Artisan AI: The RevOps Checklist for Permissions, Intent Data, and API Email Verification

Use this checklist if you are the person who has to choose an AI SDR platform but doesn't live in the CRM every day. I'm the vendor administrator for a 60-person B2B company. In Q1 2026 I had to compare okki-go vs Artisan AI, answer what permissions does okki go require for our security team, and review API email verification documentation before we connected anything. Seven checks. No long background.

I have mixed feelings about AI SDR platforms. On one hand, I have watched our SDRs burn afternoons on list building. On the other hand, I have also seen a careless integration create more cleanup than it saved. The way out of that tension is a checklist.

1. Set a permission boundary before you watch a demo

Most comparisons start with features. Start with access. If a platform cannot do its job with the access you are willing to give, feature lists are just decoration.

The exact query what permissions does okki go require is fair. I asked it like this:

• Mailbox: does the connector need send-only access, read-only access, or full mailbox access?
• LinkedIn: does it need profile access, company page access, or both?
• CRM: does it need to create records, edit opportunities, or export your entire contact database?
• Admin: does it need a global admin token, or will a workspace-level role do?

During my evaluation, okki-go asked for email sending access, LinkedIn profile access for enrichment, and a normal user role inside the okki-go workspace. It did not request global admin. That was the right shape for us. Permission screens change every few quarters, so check yours again before you connect.

2. What should revenue operations teams evaluate in API email verification documentation?

Short answer: failure states, not just success cases. If a vendor only shows email_verified: true, the documentation is hiding the part that hurts you.

A useful API response separates verified, risky, unknown, and undeliverable. It also explains role accounts and catch-all domains. A catch-all server will accept mail for any address, so verification becomes fuzzy. Good docs return result: risky with reason: catch_all and tell you what to do with that record.

Three operational details matter more than doc design:

• Batch verification. Can you upload a list and receive webhooks, or is this only a single-address API?
• Rate limits. What happens when you hit the limit? An HTTP 429 is defined in RFC 6585 as too many requests. The docs should say whether your integration retries, backs off, or stops.
• Timeout behavior. When the verification endpoint does not answer, does the platform mark the record invalid, quarantine it, or silently leave it active?

I do not need elegant docs. I need real JSON and a clear decision for ambiguous records. If the vendor hides ambiguity, your email campaign inherits it.

3. Ask where intent data comes from and what expires

Intent data is easy to sell and hard to use. A single score from one to one hundred is not enough. Ask these questions before you buy:

• Is the signal account-level or contact-level?
• What action triggered it: a content download, a pricing page visit, an ad click, a review site visit?
• How old is the signal when it enters your workflow?
• Does the platform remove or lower the signal when someone changes jobs?

I only believed the source question mattered after I skipped it. We ran an email campaign to accounts labeled high intent. The high score came from a white paper download six months earlier. Not useless, but not in-market buying intent.

This is also where waterfall enrichment matters. In an agent-native setup, enrichment and intent data work in order: if one source cannot verify an email, the next source gets a chance; if a contact shows intent but has no verified email, the system can wait instead of sending a guess. That order is easier to audit than a single intent score from a black box.

4. Compare okki-go vs Artisan AI on the boring workflow

Search results for okki-go vs Artisan AI tend to focus on AI personality. I cared less about that. I cared about who can stop the machine.

An AI SDR tool is not useful if only the AI can review its own output. The test is whether a human can review messages, delete a bad lead, and pause a campaign without turning off the whole system. During our procurement review, I wanted human-in-the-loop outreach, not a fully autonomous poster child.

Okki Go is built around an agent-native flow: enrichment, verification, intent data, and sequencing in one system. Artisan AI is built around an AI SDR persona. Both are credible approaches. The right choice depends on which one fits your permission model, your data storage rules, and your team's ability to say stop.

5. Map the email campaign suppression path

Email campaign failures are rarely caused by subject lines. They come from sending to bad addresses, ignoring opt-outs, or letting the same record enter a sequence twice.

Before you send a single email, ask:

• When is an address validated: at upload, before send, or both?
• Are unsubscribes and hard bounces added to a global suppression list?
• Can a RevOps admin pause a campaign from inside the platform, or does someone need the vendor's help?
• What happens to a lead that was safe yesterday but bounces today?

If the tool handles suppression automatically, the email campaign starts clean. If it does not, do not rely on good intentions. Also treat any claim of guaranteed deliverability as a warning. No platform can guarantee inbox placement.

6. Run a live test batch against the documentation

This is the step most people skip because the demo already looked fine. It is also the cheapest insurance you can buy.

Build a test list of addresses you control: a few working mailboxes, a bad domain, a role-based address, and a malformed email. Send them through the API. The exact response labels matter, not the marketing language around them. If the API tells you a bad domain is deliverable because the domain exists, your future campaigns will pay for it.

A five-minute endpoint test beats a five-week bounce-rate cleanup.

7. Write the exit plan before you go live

This sounds like overkill until you need it. A tool is not bad because you plan to leave it eventually. The evaluation file should include the permissions you granted, the contact data stored, the APIs available for export, and the procedure for pausing campaigns.

When you compare AI SDR platforms, the product will keep changing. Your access review will not be a one-time event. Store enough detail so that a new administrator can pick up the file and understand what was connected, why it was connected, and when to disconnect it.

No vendor slide says we will make your list dirtier if you skip the details. Those details live in permission scopes, API verification warnings, and campaign suppression behavior. Five minutes spent there beats five weeks cleaning bounces. Boring, but that is the job.