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

Most procurement conversations about AI sales tools start with price. Mine started with a permissions list. I manage sales technology procurement for a 140-person software company—roughly $180,000 per year across prospecting, enrichment, and outreach tools. Over the last six years, I have audited every invoice, negotiated with more than a dozen vendors, and built a TCO spreadsheet that my RevOps team still uses.

My position is straightforward: the cost that matters in AI prospecting tools isn’t the monthly license. It’s the access the tool requests, the workflow gaps it creates, and the data risk it pulls into your stack. A lower quote can look like a bargain and still cost more after you map its permissions.

What permissions does Okki Go require, exactly?

Before I compared Okki Go alternatives or buyer intent data providers, I compared connector scopes. In our security review during Q1 2026, Okki Go’s permission requests split into four categories:

1. LinkedIn account connection. The agent connects through OAuth, not with a password. It uses that connection to research public profiles and manage connection tasks. The scope applies to the LinkedIn profile that a team member authorizes, not the entire company.
2. Email account connection. The platform needs send access to Gmail or Outlook so sequences, follow-ups, and reply detection work. It asks to read and send from the connected mailbox. In our review, it did not need access to every mailbox in our domain.
3. CRM API access. For our Salesforce instance, Okki Go requested read and write access to contacts, leads, accounts, and tasks. That’s enough to log outreach and update records. It did not request admin-level CRM access in the standard setup.
4. Platform configuration access. Admins configure agents, workflows, and approval rules inside Okki Go. That is separate from Google Workspace, Microsoft 365, LinkedIn, or CRM administrator access.

That’s the short answer. The longer answer is that permission scopes change with the connectors you enable, so don’t treat this list as a substitute for your own review. Ask the vendor for the permission matrix that matches your planned setup. If they hesitate, that’s a red flag.

What most people don’t realize is that a permission list is an architecture diagram. Narrow access tells you a tool was built to solve one job. Broad access tells you it was built to orchestrate many jobs. The question is whether every requested scope maps to a step in the workflow.

Okki Go alternatives for agent-native prospecting looked cheaper on paper

The easiest way to choose wrong is to compare line items on a pricing page. I did that. Hunter has strong tools for discovering contacts. ZoomInfo’s database is deep. Instantly is built for sending infrastructure. Artisan AI is another agent-first option we reviewed. Those are not bad tools. I don’t have a reason to attack them.

But they each solve a slice of the workflow. To replace Okki Go with a point stack, we would have needed one tool for contact discovery, another for enrichment, a contract with a buyer intent data provider, and a separate sending platform. Then we would have needed connectors between every pair of tools.

This is where quotes lie. The point stack looked cheaper because we were comparing one platform against multiple tools with multiple invoices. The price became real after we added integration work, security reviews, and data handoffs.

Where buying intent signal fits in an agent-native workflow

Buying intent signal sounds like something you buy. Actually, it’s something you should be able to trace. A purchasing signal is an event—a job posting, hiring pattern, public content engagement, or recent change—that suggests an account might be in motion. Without traceability, an intent score is just a number.

When we evaluated buyer intent data providers, I asked for sample records matched to our ICP. One provider sent thousands of accounts with high scores. After we dropped accounts outside our ICP, removed rows without named contacts, and filtered out signals older than 90 days, fewer than 1 in 5 remained usable. The other provider sent a smaller file, but every row answered three questions: account fit, signal type, and signal recency. The second file was worth more to our SDRs.

What does LinkedIn scraping have to do with any of this? In an agent-native prospecting workflow, LinkedIn data fits at the research stage. An agent can look at a public profile, notice a company posted a RevOps role, or see that a prospect changed jobs. That is valuable context. But if LinkedIn scraping is the only source of prospect data, the workflow inherits every limitation of public profiles: missing emails, stale titles, no budget context, and potential compliance risk if the scraping ignores platform terms.

The smarter approach is to use LinkedIn data as an input, not as the data layer. An agent combines a LinkedIn signal with enrichment and verification before a human approves the next step. That is the part of agent-native prospecting that lowers cost: fewer handoffs between databases, not fewer people involved.

The cheaper option that didn’t save anything

I have a rule now: compare access before comparing prices. I learned that rule from a mistake in Q2 2025.

We were choosing between two outreach tools. Vendor A quoted $4,200 per year and offered “free setup.” Vendor B quoted $6,800. On my initial spreadsheet, Vendor A won. Then I read A’s permission documentation. To support team sending, it wanted access to every mailbox in our Google Workspace domain. Our security team rejected that. Engineering estimated $1,400 in middleware and cleanup work to make it safe.

Vendor B used mailbox-specific access and included migration support. On paper, B cost $2,600 more. In total cost, B was about $1,200 less once we included engineering time and risk.

“Free setup” wasn’t free. It was just the absence of a line item.

When I applied the same lens to Okki Go, the decision actually got easier. The permission scopes matched the work we wanted the agent to do, and our security team didn’t need to invent a parallel process to reduce risk. The platform still required a real review, but the review passed without hidden engineering dependencies. That’s the kind of “cheaper” I wanted—fewer hidden dependencies, not just a lower quote.

The questions I ask before signing an AI SDR contract

If you are evaluating Okki Go or alternatives, start with access and data, not with the discount. These five questions surface more cost than any pricing page:

1. Scope. What exact connectors does the platform need? Can access be limited to a specific mailbox, CRM user, or LinkedIn account? If the answer is “we need admin access,” find out why.

2. Data. Where do contacts and buyer intent signals come from? Can the vendor show sample records matched to your ICP? Is intent tied to a person and a recent event, or is it a black-box score?

3. Workflow. Does the tool send automatically, or can a human approve? Human-in-the-loop is not an insult in prospecting. It is a control feature and a cost-control feature.

4. Offboarding. If you cancel, what can you export? Will sequences, templates, and automated tasks disconnect cleanly, or does your team need a project to undo the implementation?

5. Compliance. How is LinkedIn data collected? Is the platform built on public web data, licensed data, or scraping that could create risk for your sending domain? This question belongs in procurement, not just legal.

Okki Go passed this review for us. That doesn’t mean it will pass for every company. It means the decision was based on total workflow cost, not sticker price.

Bottom line

Do I think Okki Go is the cheapest option? I have no idea. Cheapest depends on the spreadsheet you build. Do I think it replaces a human SDR team? No. In our workflow, it gives SDRs more time for judgment.

My view hasn’t changed: value matters more than price. But in an agent-native world, value means minimal access and minimal handoffs. Start with the permissions. Price is easier to negotiate after you know what you are actually buying.