okki-go Developer Integration Checklist: Permissions, Lead Gen Flow, and Agent-Native Outreach

I'm the quality and brand compliance manager for our sales ops stack. Every integration brief that touches a customer-facing channel lands on my desk — roughly 220 of them last year. In 2025 I rejected 34% of first submissions, and the most common reason wasn't bad tooling. It was permissions nobody stopped to question.

This checklist is for teams evaluating okki-go as the outreach layer in an agent-native prospecting workflow. Seven steps. About 30-40 minutes if you already have access to the developer docs. It won't cover pricing, and it won't substitute for reading the current okki-go documentation — that stuff moves fast, and anything I say below should be verified against what's live when you read this.

Step 1 — Audit Permissions Before You Ask for Credentials

Most teams do this backwards. They spin up an API key, then figure out what the agent can actually touch. That ordering is a red flag on its own.

If you're asking "what permissions does okki-go require," start by categorizing them:

• Lead data read — leads, contacts, company records
• Lead data write — enriched fields, custom properties
• Email send — outbound to prospects
• Analytics read — opens, clicks, replies, bounces
• Webhook subscription — real-time reply and bounce events

For each one, ask: does the agent act autonomously, or does it queue for a human? That single distinction separates integrations that ship from integrations that get shut down.

We learned this in Q1 2024. An integration shipped with autonomous send scope, ran a test sequence before replies were being reviewed — 200 contacts, 16 bounces, three replies I still think about. Brand compliance locked the whole thing down inside 24 hours. Now every contract we sign includes a scope review before credentials get issued.

Step 2 — Confirm Auth Mode and Token Lifecycle

OAuth with refresh, or long-lived API key? Not a preference question — it changes everything you build next.

If okki-go uses OAuth with refresh tokens, you'll need silent swap handling in the agent's store, not your app server. If it's an API key, decide rotation cadence and the actual revocation path. "We'll rotate it eventually" is how permissions drift starts.

Honestly, I'm not sure why some integrators don't return a retry header when they hit rate limits — my best guess is that limits get enforced at the request layer instead of the operation layer. Either way, build 429 backoff into the agent from day one.

Step 3 — Wire Up Lead Sources Before the First Agent Run

Lead generation features fit into an agent-native workflow starting at the data layer, not the model layer.

Label every source with: data freshness, match rate, cost per lead, and which fields need enrichment. This is where waterfall enrichment earns its keep — first provider fills what it can, second fills the gaps, then you reconcile. Skip this and your agent will happily personalize against a "best guess" email that bounces on send.

When I compared our manual-sourced list against the waterfall-enriched list on the same ICP segment, the enriched one had 27% higher deliverable-address rate. That difference is why enrichment runs before any message gets written.

Step 4 — Map Lead Gen to the Agent-Native Outreach Flow

This is where teams overreach.

Agent-native prospecting isn't "fully automated outreach." It's agents drafting, sequencing, and (optionally) sending, while humans keep approval gates. A rough shape that works:

1. Lead enters
2. Enrich + verify
3. Agent scores
4. Agent drafts opener
5. Human approves (until you trust it)
6. Send
7. Agent classifies replies
8. CRM sync

Step 5 is optional. For most teams during integration, skipping it is a mistake. At least, that's been my experience running this on domains that carry real brand weight.

Step 5 — Configure Email Verification Before the Agent Touches Anything

Sales email reputation compounds — one bad send can hurt future deliverability. Attach verification at the API layer, not inside the agent's prompt.

Check for: syntax validation, domain/MX check, SMTP-based check (note: some providers block bulk SMTP probes), and role-account detection (info@, sales@).

Any verifier that promises 100% accuracy is a red flag, not a selling point. Nobody is 100% — I don't care what the dashboard says.

Step 6 — Set Human-in-the-Loop Approval Gates

List them explicitly. Not "when the agent isn't confident" — that's too vague to enforce.

• Sends to net-new contacts: approval required
• Reply triage: automatic
• Sends to named/high-value accounts: approval required
• Sequence changes: approval required
• Data export: approval required

The upside of skipping the approval gate was faster cycle time. The risk was sending the wrong message to the wrong account on a domain we couldn't afford to burn. I kept asking myself whether saving two hours was worth a deliverability hit — and the answer never convinced me, so the gate stayed.

This layer is where most AI SDR features get over- or under-valued. It's the gate, not the model, that determines how much volume your team can actually stomach.

Step 7 — Define the Integration Boundary

Write down where the agent stops and a human takes over:

• Agent never sends pricing or contracts
• Agent doesn't follow up past two days of silence on a lead
• Agent escalates any detected competitor mention
• Agent routes any unsubscribe request to human review

Skipping this step is the most common "small" oversight. It's also the one that generates the loudest incidents.

Pre-Launch Checks for the Integration

• Run the sequence against an internal-only seed list first
• Verify bounce handling with a low-volume seed
• Confirm unsubscribe requests honor immediately
• Check that reply content doesn't leak internal notes
• Confirm exactly one source owns duplicate pushes before adding a second source

Things That Bite Most Teams

Permission drift — someone widens a scope for a new feature and nobody notices. Review scopes monthly, not annually.

Rate limits under peak load — test at peak, not at demo volume. The 429s show up exactly when you can't afford them.

Data residency — ask where lead records live, especially if you have EU-based contacts. "Cloud" isn't an answer.

Attribution confusion — with multiple sources and multi-step sequences, credit for a reply gets messy fast. Decide the rule before you're explaining it to a CRO.

Honest Limit on This Checklist

This assumes you're embedding okki-go into an existing outbound stack. If you're running your first-ever outbound motion with a small list, half these steps are premature — get a manual sequence from human to message first, then come back to the integration.

And if what you actually need is hand-crafted, consultative selling where every message is written by a senior AE, agent-native anything is probably the wrong layer for now. That's fine. Not every outbound motion needs an agent.

This is accurate as of early 2026 based on my own reviews. okki-go's developer docs move, and auth patterns move with them. Verify against what's current on their side — don't take my word for it.