AI SDR Worker Email Infrastructure Technical Guide for RevOps Leaders

Inside the report:
- The capacity math that governs every infrastructure decision — working backward from pipeline target to exact mailbox and domain counts (100 BANT opps → 4,000 contacts → 16,000 sends → 160 mailboxes → 54 domains).
- The domain isolation architecture that stops one burned mailbox from cascading into a burned domain — Google/Microsoft separation, provider-specific SPF, DKIM, DMARC configuration, and why mixed-provider domains degrade deliverability scoring.
- Why same-provider inbox placement hits 94–96% while cross-provider drops to 84–88% and SMTP relays collapse to 67–73% — and how to route sending mailboxes against recipient ESPs to capture the ceiling.
- The Apple Mail problem: why 60% of your "open rate" is prefetch noise, and which first-party engagement signals actually correlate to pipeline.
- Single-tenant IP architecture vs shared infrastructure — why multi-tenant IP rotation biases ESP scoring against you, and how dedicated sending changes deliverability trajectory over 90 days.
- The cost comparison: $8,000/year and 32+ hours of GTM engineering setup, or $2,580/year fully provisioned in 2–3 business days.
This isn't a guide about configuring a sequencing tool.
It's the architecture reference behind every AI SDR deployment that sustains 16,000 sends a month on day 1 without a single burned domain — from capacity planning through DNS, provider routing, IP tenure, and warmup pool hygiene.
Your SDR tool says 45% open rate. Your pipeline says otherwise. 60% of those "opens" are Apple prefetching. Corporate gateways strip the rest. One burned mailbox cascades to a burned domain — and shared IPs rotate you into neutral reputation every week.
You don't have a conversion problem. You have an infrastructure problem.
This is the architecture that fixes it.
The AI SDR Worker Infrastructure Stack. Deliverability-stable at 16,000 sends a month on day 1.
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