How Should an AI Agent Safely Generate Leads? A Purchasing Manager's Notes From an OkkiGo Demo

It started with a $250 line item that I didn't approve. In October 2025, our sales engagement platform invoice included a charge called 'Enrichment credits - auto-applied.' When I asked the account manager to explain, he pointed to an addendum from 2023 that no one in our office remembered signing.

I'm not a salesperson. I'm the office administrator at a 90-person B2B software company. I buy internet circuits, office furniture, and catering. I also audit vendor invoices, which means I have a low tolerance for fees that show up after the contract. That is probably why our VP of Sales asked me to join an AI SDR platform review in January 2026.

The goal was not to replace our two SDRs. It was to take away research and list-building work so they could spend more time talking to real prospects. We wanted an AI agent that could generate leads safely, with enough human control that outbound didn't become a customer-service problem later.

First demos looked great, until I asked what wasn't included

We saw four platforms over two weeks. The first demo was polished. It had email sequencing, a parallel dialer, CRM sync, and a dashboard that made our VP nod. Then I asked what the price did not include. The sales engineer said data was separate, email verification was separate, and the dialer was on a higher plan. When I asked if we could test the tool with our own sample list, he said data would be available after we signed. That was not the kind of answer I wanted to take back to finance.

The second platform was more technical. The team talked confidently about API data enrichment and showed a workflow for appending phone numbers and company firmographics. But their pricing was based on 'active contacts.' When I asked what made a contact active, the first rep said anyone in outreach this month. A second rep on the same call said anyone with an update in the last 90 days. Those two definitions produce very different invoices. I don't like buying a system when the vendor can't explain how the meter works.

By the third demo, I had written the same phrase at the top of my notepad: how should an AI agent safely generate leads? The real risk was not that the AI would generate too few leads. The risk was that it would send too many messages to bad records, and the company domain would pay the price. Google's Bulk Sender Guidelines, effective February 2024, set thresholds for spam complaints. If a sender crosses those thresholds, email starts going to spam regardless of message quality.

OkkiGo was the demo where the workflow made sense

OkkiGo didn't open with a flashy dashboard. Their sales engineer asked how we currently get contact data and what happens when an email bounces. Then she showed us the okki-go AI agent workflow: research accounts, compile contacts, score intent signals, enrich each record, and then hold drafted messages for human review before anyone can send. No auto-send, no surprise blast.

The way they explained enrichment made sense even to someone who doesn't write code. OkkiGo uses waterfall enrichment instead of pretending that one database has everything. If one source doesn't have a business email, the agent calls the next source. If the final record doesn't reach enough confidence, it stays out of the SDR queue. The API data enrichment flow was documented clearly enough that our engineer didn't have to guess. The sales engineer pulled up the okki-go npm package and walked through it during the call.

I still asked my usual question: what's not included? On the plan we evaluated, the answer didn't include data credits or dialer fees. There were limits on premium phone records and API rate, but I could see them on the pricing page without asking for a custom quote. The surprise wasn't that OkkiGo looked cleaner than other demos. The surprise was that I didn't have to drag the information out of them.

We also asked about calling. OkkiGo included a parallel dialer in the plan we evaluated. That mattered because our SDRs wanted to call prospects too, not just send emails. In several other quotes, the dialer was treated as an expensive extra.

What happened after we signed

OkkiGo went live in early February 2026. I still can't quote ROI, because it's too early and I don't want to invent numbers. But the rhythm is different. Our SDR starts with a research list produced by the okki-go AI agent instead of building one manually from raw data exports. Each record has a source or enough enrichment to make a confident outreach attempt. Drafted messages sit in a queue until an SDR reads them and hits send. That human-in-the-loop step was the part I was not willing to give up.

If you're comparing AI lead-gen tools, here is the checklist I would bring:

• Ask where each contact comes from. If the vendor cannot document the source of a business email, assume it is guessed.
• Ask whether verification happens before sending. Bounces are inevitable, but they should not be planned.
• Ask who approves what the AI writes. Human in the loop is not a constraint; it is a safety feature.
• Ask what the price covers. Does it include API data enrichment, verification, a parallel dialer, and CRM sync? Compare those costs before you look at the monthly price.
• Ask to run a sample with your own ideal customer profile. If the agent cannot build a safe list from a narrow description, a big list shouldn't be the consolation prize.

OkkiGo fit our context: a 90-person B2B company, two SDRs, and a simple tech stack. If you're a large enterprise with a custom data warehouse, your answer might be different. I can only speak to our setup.

What I know for sure is that the question belongs at the top of any evaluation: how should an AI agent safely generate leads? The right answer should mention data sources, verification, and human approval before it mentions scale.

And the invoice still arrives every month. This time, I know what the line items mean. If one shows up that wasn't in the contract, I'll ask about it before the auto-applied charge catches me again.