Is okki-go an AI SDR? What a Procurement Admin Learned During a Lead Gen Vendor Review
2026-09-10 · Julian Hartwell
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How a past procurement mistake changed our process
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Is okki-go an AI SDR? It depends on what you mean
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Okki Go SPF, DKIM, and DMARC guidance was not a footnote
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Account-based marketing changed what we asked about LinkedIn connections
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What should revenue operations teams evaluate in lead generation tools?
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The lesson from our Okki Go evaluation
When our RevOps lead walked into my office in February, I assumed it was about the Q1 budget report. Instead she said, “I need you on a vendor call next Tuesday. We are looking at AI SDR tools, and I need someone who asks the boring questions before we sign.”
That is how an office administrator ended up in the middle of a lead generation vendor review. I do not run revenue operations. I manage vendor onboarding and software purchasing for a 285-person B2B company—roughly $380,000 in annual subscription spend across sales, marketing, and ops. After six years of renewals, invoices, and the occasional angry finance email, I have one strong opinion: the cheapest monthly license is not the same as the least expensive tool.
How a past procurement mistake changed our process
In 2024, our team switched to a cheaper prospecting data source because it saved about $1,000 per month. It looked like an easy call on the cost comparison. Within a quarter, the SDR team was spending around nine hours per week on bounced emails and dead LinkedIn profiles. We canceled and moved back to the prior provider, but the time cost was already gone. That experience taught our RevOps team to look beyond the subscription line when choosing lead generation tools.
That is why the Okki Go demo was different. We did not start with price. We started with the questions that cause hidden cost: data coverage, email verification, deliverability, ABM fit, LinkedIn connection workflow, and the human review loop.
Is okki-go an AI SDR? It depends on what you mean
Halfway through the first demo, our SDR director asked, “Is okki-go an AI SDR?” The representative did not give a one-word answer. She explained that Okki Go automates the prospecting workflow but was designed for human-in-the-loop outreach. That means it can find target accounts, enrich contacts, score intent, and draft messages, but the SDR still approves before anything goes to a prospect.
In our view, that is the correct way to frame AI SDR. If the tool replaces judgment, it becomes a liability. If it strengthens the judgment of the SDR, it becomes an investment. Okki Go stayed on the side of the human review queue, and that is what made us listen longer. Is okki-go an AI SDR? In our use case, yes, but only with a human in the loop.
Okki Go SPF, DKIM, and DMARC guidance was not a footnote
The first signal came from an unexpected place: the implementation checklist. Okki Go SPF/DKIM/DMARC guidance kept appearing in our conversations. I originally thought that was an IT issue, not a lead generation issue. Then our director of revenue operations pointed out that if you cannot send from an authenticated domain, the quality of your prospect list does not matter.
According to Google’s bulk sender guidelines (support.google.com, accessed January 2026), senders of significant email volume must have SPF, DKIM, and DMARC in place, or their messages risk being rejected or marked as spam. Okki Go did not treat this as a separate security feature. The onboarding materials walked us through the DNS records, explained where SPF can break, and stated what DMARC policy should be configured.
No tool can promise inbox placement or reply rate. But a lead generation platform that skips deliverability guidance leaves you to discover the problem after your domain reputation is hurt. When I compared that with another vendor whose demo simply said “connect your mailbox and go,” the difference felt obvious. The second vendor might be perfectly good for other situations, but for our team, it was not safe enough.
Account-based marketing changed what we asked about LinkedIn connections
Our company runs account-based marketing programs for 60 named accounts. We are not trying to reach 40 million random contacts. We need to understand each target account, find the right buying committee, and connect with them in a way that feels personal.
This is why LinkedIn connection features became part of the evaluation. We do not want an AI to send LinkedIn connection requests without an SDR reviewing them. In the Okki Go interface, the AI created personalized connection note drafts for each target person, and an SDR could edit or reject them. That may be less dramatic than full automation, but it protects the SDR brand and gives us a cleaner audit trail.
We also paid attention to how contacts were enriched. Okki Go used waterfall enrichment: if one data source did not have a work email or direct dial, it tried another source before adding the contact to the list. Email verification was included before an email went to an automated sequence. That removed the follow-up work our previous data source had created.
What should revenue operations teams evaluate in lead generation tools?
After the process, we built a simple scorecard for future vendor reviews. If you are asking what should revenue operations teams evaluate in lead generation, this is the part that often gets skipped:
- Data source and verification. Where does the data come from, how old is it, and is email verification part of the list build?
- Deliverability guidance. Does the tool provide clear SPF/DKIM/DMARC setup help, or is domain authentication left to you?
- ABM fit. Can you upload a target account list and enrich only those accounts, or does the tool force a volume-first database search?
- LinkedIn connection workflow. How are connection requests created, reviewed, and sent? Can your team stop a message before it goes out?
- Human-in-the-loop controls. Is there a checkpoint before an AI-generated email or LinkedIn message is sent to a prospect?
- Total cost over 12 months. Include base subscription, data credits, implementation time, IT time, and the cost of bad data. The lowest quote is not automatically the lowest total cost.
The lesson from our Okki Go evaluation
We did not choose Okki Go because it was the cheapest option. In fact, it was not the cheapest option in our review. We chose it because it answered the questions that tend to create ugly procurement surprises later.
A month after implementation, the win was not a reply-rate screenshot. Our sales team noticed that a LinkedIn connection note had been edited before going to a prospect who had just changed roles. That small moment saved us from looking out of touch. It will never show up on a feature pricing page, but it is exactly the kind of value a revenue operations team should evaluate.
Final answer from my side of the purchase: okki-go is an AI SDR only when the SDR is still making the final call. That, more than anything we tested, is why we bought it.