Okki Go vs Artisan AI: Permissions, Intent Data, and the API Email Verification Docs That Swayed Me

It Started With a Friday Afternoon Ask

When our VP of Revenue asked me to help shortlist AI SDR platforms, I laughed. I'm the office administrator for a 75-person B2B company. I handle software renewals, vendor contracts, and the kind of paperwork no one else wants. But at this point, my job basically comes down to being the person who reads the fine print before anyone signs it. In late November 2025, that made me part of an AI SDR evaluation team.

There was real pressure behind the project. At the end of 2025, we had two SDRs building lists and writing email campaigns manually. They were spending hours a day on enrichment, trying to find accurate contacts, and burning out. The VP's idea was to start with a small pilot: one AI SDR platform for prospecting and outreach, then layer in verification once we saw what we actually needed.

That's how I ended up in a room comparing Okki Go vs Artisan AI instead of ordering laptops. Honestly? It was the most useful vendor review I've done in years.

Okki Go vs Artisan AI: The Two-Week Shortlist

We shortlisted two platforms in early December 2025. Both demos were polished, which I've learned to expect. What surprised me was how differently the two products approached the same problem.

Artisan AI felt like a confident sales hire. The platform presents itself as a complete outbound agent, and our SDR manager loved it immediately. It promised the kind of end-to-end automation that makes a busy team think, finally, we can stop doing this ourselves.

Okki Go felt different from the seat I sit in. It also does lead gen, enrichment, AI SDR sequences, intent data, LinkedIn outreach, and email campaigns. But the workflow leaned into what they called agent-native prospecting: the AI agent does the heavy lifting, and a human stays in the loop for approvals on outreach steps. Less magical on the surface. More transparent underneath. For a procurement-minded person, that transparency is exactly what I look for.

The SDR manager and I went back and forth for two weeks. Artisan had the flashier vision, but Okki had the more inspectable workflow. On paper, Artisan seemed like the stronger pick for a team that wanted maximum autonomy. My gut kept pulling me toward Okki because I could trace exactly what it would do with our data and our sending reputation. That distinction mattered more than I expected.

What Permissions Does Okki Go Require? I Asked Before I Approved

When I asked the sales engineer directly, “what permissions does Okki Go require?”, he sent me a documentation page instead of a verbal summary. That single detail told me a lot. Most vendors talk around permissions; Okki had a page for it.

The permissions page, as of the version we reviewed, organized access into four scopes:

• Email outbound access. You connect a sending mailbox through OAuth, not by handing over a password. Okki needs permission to send on your behalf and to read replies so it can follow up or hand conversations back to a human.
• LinkedIn Sales Navigator access. If you use LinkedIn outreach, the platform runs through a browser extension and a dedicated Sales Navigator seat. This was the most sensitive permission for us. It's not a personal LinkedIn connection; it's a scoped session for sales activity.
• CRM sync. Basic read and write access to accounts, contacts, and pipeline stages so it can log activities. We connected a sandbox CRM first, which I'd recommend to anyone doing an evaluation.
• Data processing and enrichment. Okki describes this as waterfall enrichment: the platform pulls native data first, then falls back to third-party sources when something is missing. That means multiple data processors are involved, and the docs list them clearly.

When I asked the same permissions question to Artisan AI, I got invited to a security call. That's not a bad thing, but the information lived in a meeting rather than in a linkable doc. For me, the difference was meaningful. It also told me something about how each vendor treats documentation as part of the product, not an afterthought.

Intent Data and Email Campaign Reality Check

I'll admit something: before this evaluation, I thought intent data and enrichment were the same thing. They're not.

Enrichment fills in the gaps on a contact or account record, like finding the right email address or job title. Intent data tries to answer a harder question: which accounts are actually showing buying signals right now? In Okki's case, the platform combines intent signals with enrichment so that SDRs aren't just working through a static list. The AI agent can prioritize accounts where the timing makes sense.

That sounds nice in a demo, but I wanted to see it work in an actual email campaign flow. We ran a small test with a segment of accounts showing intent around our product category. Okki generated a list of prospects and, more importantly, gave each one a reason for contact. It said things like this account is actively researching your space, not just here's a director of operations at a random company.

The human-in-the-loop step mattered more than the SDR team expected. Before Okki sends anything outside an initial sequence, an SDR approves the personalization and the next step. At first, our team saw that as friction. I saw it as control. We could catch a bad take or an awkward AI-written line before it ever touched a prospect's inbox.

What Should Revenue Operations Teams Evaluate in API Email Verification Documentation?

Now we get to the part that actually swayed the decision.

I'm not an engineer. I can read API documentation the way a pilot reads a pre-flight checklist, but I don't write code. Still, I insisted on reviewing Okki's email verification documentation ourselves, and our RevOps lead agreed after I explained why.

Here's what I told him: an AI SDR platform is only as safe as the data it sends from your domain. If the verification layer is weak, you'll find out weeks later when your bounce rate climbs and your deliverability suffers. Five minutes of reading documentation beats five days of cleaning a burned email list.

The most frustrating part of vendor evaluations is how often technical docs are treated as an afterthought. You'd think the first thing a sales team would hand you is the documentation. Instead, most demos skip right past it. Okki didn't skip it. Their API email verification documentation included a note I appreciated: no one can guarantee 100 percent email accuracy. It said this directly, in writing. That honesty told me more than any marketing claim.

The Questions I Now Ask About Any Email Verification API

If a Revenue Operations team asked me what to evaluate in API email verification documentation, I'd send them this exact list:

1. How does it classify bad addresses? A useful API response should distinguish between hard bounces, syntax errors, disposable addresses, role accounts, and catch-all domains. If the doc only says verified or invalid, that's a warning sign.
2. Does it expose reason codes? RevOps teams need to know why an email failed, not just that it failed. Reason codes make it possible to segment and fix the problem.
3. What verification method is actually used? Some tools stop at a syntax and domain check. The better ones attempt a deeper mailbox check. The documentation should be explicit about the difference.
4. How does it handle catch-all domains? This matters more than most people think. A catch-all domain accepts everything, so an email may pass a simplistic verification and still bounce later. Good docs will tell you if they flag catch-all addresses rather than falsely calling them deliverable.
5. What happens on timeout or inconclusive results? Every verification API will time out sometimes. A strong doc explains whether the response marks the result as unknown, not just deliverable or undeliverable.
6. Does it detect role-based and disposable accounts? Contacts like info@ or temp-mail addresses rarely convert. The API should be able to send those back with a reason, so outbound teams can decide whether to exclude them.
7. What does it say about data freshness? Email needs age, no matter how good the initial verification is. The best docs recommend reverifying lists that are older than 30 to 90 days depending on the use case.
8. Does it set realistic expectations? If the documentation promises perfect accuracy, walk away. No API can know with complete certainty whether a mailbox will accept your message at the moment you hit send.

I also pulled up the FTC's CAN-SPAM guidance on ftc.gov while we were reviewing campaign compliance. It was a useful reminder: email verification does not remove your legal obligations. Commercial email still needs truthful headers, a working opt-out, and a valid physical postal address. Good documentation sets up the technical side of that, but a vendor can't automate away compliance.

Where We Landed, and the Checklist I'd Hand to Any RevOps Team

We chose Okki Go. It wasn't because Okki was flashier in the demo, because it wasn't. It was because Okki's documentation answered the practical questions that determine whether an AI SDR program survives contact with a real sending domain.

The rollout took about three weeks. We connected a dedicated Gmail sending account, set up a Sales Navigator seat for the browser extension, and linked a Salesforce sandbox first. Then we ran a small list through the verification workflow before any campaign went live. The human review step was clunky for the first few days, but it caught a few personalization mistakes that would've made us look sloppy.

I can't tell you we saw magical reply rates, because I don't trust vendors who promise those. What I can tell you is that our SDRs stopped spending hours manually cleaning lists. They spend that time on the work they're actually good at: writing and sending thoughtful outreach. That's the outcome we wanted when we started the evaluation.

Would I make the same choice next year? I don't know. Okki worked for us because we're a mid-size B2B company with two SDRs and a RevOps lead who wanted visibility into every step. If our team were larger and more focused on scale, Artisan AI's more autonomous approach could genuinely be a better fit. It's not that either tool is bad. It's that the right choice depends on how much control your team wants before the AI agent runs.

So if someone asks me how I'd evaluate an AI SDR platform now, I'd say this: watch both demos, but then ask for the two documents no sales deck will show you. The permissions page and the API email verification documentation. The demo tells you what the vendor wants you to believe. The documentation tells you what it actually does.

I know which one I trust.