What Permissions Does Okki Go Require? Okki-Go vs Artisan AI and a RevOps Email Verification Checklist

RevOps teams often compare Okki Go vs Artisan AI the way they compare two new sales hires: who sounds stronger in the demo? That's the wrong screen. Before you sign anything, ask to see the permission scope list and the API email verification documentation. Those two documents tell you which AI SDR can run a defensible outbound email campaign—and which one will make invisible decisions after the demo ends.

That's the whole conclusion. The rest is the evidence.

Why I read docs before demos

I'm the quality/compliance manager on the Okki Go implementation side. Every deployment plan that reaches a customer crosses my desk—roughly 50 per quarter, including OAuth scopes, API email verification specs, enrichment connectors, and campaign workflow rules. In the last twelve months I rejected about one in five connector designs. The usual cause wasn't a weak AI feature. It was an over-broad permission request or an API doc that left too much to guesswork.

That's what a quality inspector does: look for the failure before the customer sees it. If you compare Okki Go vs Artisan AI, I'd rather compare the docs than the demo.

Okki Go vs Artisan AI: compare the permission map, not the pitch

Okki Go and Artisan AI are in the same broad category, and that category says almost nothing about operational quality. Okki Go is built around agent-native prospecting—multiple agents for research, enrichment, drafting, sending, and logging—with human-in-the-loop review before the final outreach goes out. Artisan takes its own agent approach. Neither architecture is automatically better; what matters is how each one handles access, validation, and failure.

When someone asks me for an Okki Go vs Artisan AI recommendation, I don't give a one-line winner. I ask both vendors to send a current permission map. For Okki Go, we produce one per connector. For Artisan, ask their team for theirs. If it takes three follow-ups to get a permission map, that's a quality signal—and not a positive one. The same standard should apply to any AI SDR tool.

What permissions does Okki Go require? The honest answer

Short answer: an Okki Go outbound deployment needs the connector permissions it actually uses, and each one is shown in OAuth before activation. It does not need global admin credentials for Microsoft 365 or Salesforce. It does not need a full mailbox export. If a screen requests either of those, stop and ask why.

A typical deployment has three groups of permissions:

• Email channel. The connected mailbox needs permission to send messages and read replies. That lets a sequence stop when a human responds. This is per mailbox, not org-wide.
• CRM objects. Okki Go may need read and write access to selected objects—leads, contacts, accounts—so it can log activities and update fields. It should be object-level access, not global admin.
• Enrichment and intent connectors. Intent data usually enters through an enrichment API, not from scanning your email. If LinkedIn integration is enabled, the person configuring it uses their own LinkedIn session. No password is stored.

The precise scope names change as connectors evolve, so never rely on an article. Read the OAuth consent screen before accepting and keep a copy of it. RevOps teams that take screenshots during setup can answer audit questions later.

Intent data is a permission issue before it's a campaign issue

Intent data sounds like a separate product feature. In practice, it's a data flow that starts outside your CRM and needs controlled access to your selected segment. Okki Go's design uses waterfall enrichment plus intent signals: take the people you targeted, enrich only that segment, then use intent to determine priority. It doesn't copy your entire contact database to a secondary warehouse.

For an email campaign, intent should affect timing. If an account shows a surge in buying signals but the verified address is a risky catch-all, don't burn a first email on it. Put that contact in a LinkedIn sequence or send a lighter-touch note. If the address is valid but intent is absent, a plain cold email may still be okay, but you should know why you're sending it. Intent data only has value when the campaign logic respects verification statuses.

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

An email verification API is not a yes/no oracle. It is a status machine. If the documentation doesn't explain its statuses, you are not ready to send a campaign. Here's the evaluation checklist I use:

1. Status taxonomy. Does the API distinguish between valid, invalid, catch-all/accept-all, risky, and unknown? If it only returns valid and invalid, gray cases will be mismanaged.
2. Method chain. What does the API actually check? Syntax and domain existence are not enough. Look for MX record checks and, where possible, an SMTP-level check. The docs should tell you which steps are skipped and why.
3. Timeout behavior. Mailbox checks can time out. Does the API mark timed-out queries as unknown or invalid? Marking them invalid removes potential leads; marking them unknown forces a decision. Both are acceptable—as long as the behavior is explicit.
4. Data handling and retention. Does the endpoint store the email addresses it verifies? For how long? Can you delete them? Is the data used to train models? In B2B, contact data is commercially sensitive even when it is not legally protected.
5. Error codes, rate limits, and fallback behavior. What happens when you exceed the rate limit or the endpoint returns a 5xx error during a send? If the fallback is send without verification, bounces go up. If the fallback is route to a different channel, that is a deliberate choice.

One more mental model: per FTC advertising guidance, claims need substantiation. When your system labels an address as valid, treat that label as a claim. The API documentation is the substantiation. If the documentation doesn't answer basic questions, don't let the vendor hide behind the phrase industry standard.

Email campaigns are where verification and intent data either work or fail

A verification API only creates value if the campaign logic knows how to handle every status. A common pattern in Okki Go and similar tools:

• Valid + high intent → send the first email now.
• Catch-all/accept-all → send at lower frequency, watch replies, and don't assume the address is accurate.
• Risky/unknown → reserve for LinkedIn or human research.
• Invalid → exclude from the email campaign.

This is not rocket science. It's quality control. The discipline starts to crack when a vendor promises a high reply rate or an email verification API promises 100 percent accuracy. Those promises usually end with a poor sender reputation and a support ticket. Good campaigns keep the gray area visible and create a workflow around it.

When this checklist is overkill

If your outbound operation is a founder sending 30 personalized emails a day from a spreadsheet, this article is too heavy for you. You can verify the handful of addresses manually and move on. Quality control can stay lightweight when complexity is low.

The checklist becomes important when an AI agent works with multiple data sources, when a campaign touches thousands of emails, or when one mistake affects a shared domain. At that scale, permissions and API docs stop being technical details and become the core contract between RevOps and the SDR team. That's why I'd rather compare permission maps than demo videos.

Honestly, I've never fully understood why more vendors don't publish a plain-language permission summary next to their pricing page. My best guess is that legal and product teams disagree about keeping it current. If you work at a vendor that solves this, I'd like to borrow your process. In the meantime, treat every AI SDR default with informed skepticism and verify what it says it can do.

No email verification API can guarantee 100 percent accuracy. Good docs and clear fallbacks can. That's the difference between a quality product and a polished one.