Okki-GO vs Artisan AI? A RevOps Checklist for Permissions, Intent Data, and API Email Verification Docs

I'm the person who buys software for a B2B team. Not the loudest voice in the buying committee, just the one who checks contracts, permissions, and billing before anything gets installed. When our RevOps lead asked me to look at AI SDRs, the conversation kept coming back to Okki-GO vs Artisan AI. The demos looked similar enough. The real discussion started when I opened the permission docs and the email verification API docs. This article is the checklist I wish someone had handed me before that evaluation.

Okki-GO vs Artisan AI: start with workflow, not a logo

I get why buyers compare Okki-GO and Artisan AI. Both sit in the AI prospecting space. Okki-GO talks about agent-native prospecting. Artisan AI talks about digital workers. The exact wording matters less than what each agent is allowed to do without a human.

From the outside, the comparison looks like a race over features. In practice, the part that creates the most risk is the same for both: what the agent can see, send, and change. So before you compare email templates or response rates, put both tools through a workflow test.

Use one rep, one real or sandbox CRM, and one sample campaign. Then ask:

• Where does the lead come from? Is it a list upload, an enrichment API, or an intent data source?
• What happens when the lead replies? Does the AI read the reply and draft a follow-up, or does it route to a human?
• What happens when the email bounces? Is the bounce reason written back to the CRM?
• Which messages can go automatically, and which ones wait for approval?

That last question matters more after you look at permissions. Okki-GO's human-in-the-loop design is one reason the permission boundary is manageable. But a feature called human approval only works if the workflow actually lets you review before sending. Check it.

What permissions does Okki-GO require? (And what should every AI SDR require?)

The short answer: it depends on the connectors you turn on. Okki-GO doesn't have a single universal permission list, because a LinkedIn-only setup should not need the same access as a full CRM sync. That's not an excuse; it's a buying requirement. Ask for the OAuth scopes for the exact setup you plan to use.

Here is the permission checklist I use when Okki-GO or any AI SDR asks for access:

• LinkedIn connector: Expect read access to profile URLs and connection-related actions. You should not see permission to read private messages, change account settings, or manage company pages.
• Mailbox connector: Expect OAuth access to send and read replies. The useful question is not do you need mailbox access? It's which specific scopes? If the answer includes modify, archive, or full access, ask what it will modify. If it only needs to send and read replies, it should say so.
• CRM connector: Expect read/write access to contacts, accounts, and opportunities. It should not include user management, admin settings, or broad data export.
• Enrichment and verification connectors: This is where a lot of buyers underreact. The AI should return a source field for each data point, but the connector should not send your entire CRM to a verification API by default.

If you are asking specifically about Okki-GO permissions, the best answer is to look at the permission prompt after you connect your first mailbox or CRM and compare it with this checklist. The prompt should explain why each scope is required. If it doesn't, push back before you approve.

Intent data should change an email campaign, not just decorate it

Intent data is one of those terms that sounds technical until you try to use it. It is also the feature where I changed my mind after doing actual vendor evaluations.

Everything I'd read said more intent data means better targeting. In practice, better targeting comes from the campaign using the data at the right moment. A score of 87 on a lead record does not send an email. The email that says I saw you were looking at pricing is what changes the campaign.

So before you buy Okki-GO because it includes intent data, ask how the data reaches the email campaign. Does it appear as another field on a lead, or does it trigger a workflow? Does the workflow pause the normal sequence and start a different one? Does a human see the intent event before a message is sent?

Okki-GO's approach is what I'd call layered: waterfall enrichment plus intent. That sounds like marketing copy, but the idea matters. Instead of relying on one intent score, the tool combines company data, contact data, and engagement signals before deciding that a lead qualifies. When I reviewed it, this made the email campaign shorter, not longer. The contacts who matched both enrichment and intent entered the sequence; the rest stayed in a nurture list.

What should RevOps teams evaluate in API email verification documentation?

I'll be honest: when the sales team first asked about AI SDRs, I did not expect the phrase API email verification documentation to be part of the decision. It turned out to be one of the most important parts. An AI SDR can generate great leads, but if its email verification layer is weak, you will burn domain reputation and lose replies in the spam folder.

Here is what I evaluate in the docs before I connect anything:

1. Status taxonomy. The API should return more than valid or invalid. Look for categories such as deliverable, undeliverable, risky, unknown, and catch-all. If catch-all is labeled as deliverable, the API is telling you what it doesn't know.
2. Reason codes on failures. A hard bounce and a temporary DNS failure are different. Reason codes let the campaign suppress the first and retry the second.
3. Freshness check. Email verification is a point-in-time result. A good response includes the last verification date, and a good campaign uses that date to decide whether a record is too old to contact.
4. Error handling. If the API returns an HTTP 429, what happens to the leads waiting in the queue? Does the documentation show retry logic? Does the integration stop or skip? RevOps teams should know this before a 10,000-row upload starts.
5. Privacy and retention. Are the email addresses you send to the API stored? For how long? Can you delete them? This is a procurement question as much as a security question.

I also like to check whether the vendor makes accuracy claims it can support. Per FTC advertising guidance, objective claims need evidence. If a verification API says guaranteed 99% accuracy, the documentation should explain how the statuses are tested and measured. If it says 100% accurate, treat that as a red flag, because a mailbox can change the day after verification.

Three mistakes I still see buyers make

1. Comparing agents without comparing permissions. If Okki-GO can do the same job as Artisan AI with read-only LinkedIn and send-only mailbox scopes, that is a feature. Permission scope is part of security review, not a demo.
2. Treating intent data as a volume multiplier. Intent often surfaces more accounts to contact, but the best use is to suppress low-fit leads and customize copy for high-fit leads.
3. Skipping the API docs until after the contract is signed. By then, the integration is a workaround project, not a product decision.

Buying an AI SDR is still buying software. Okki-GO may win the workflow test, and Artisan AI may win the brand test, but the decision should come down to what the tool can access and what it can prove. Start with those two things, and the best sales AI question answers itself.