AI SDR Implementation: Timeline, Setup & Ramp Playbook

What does a Week 1 infrastructure setup actually look like?

Week 1 is the unglamorous, non-negotiable foundation. Without it, the rest of the playbook produces emails that land in spam.

1. Register sending domains. 3–5 domains for SMB volume, 8–15 for mid-market scale. Keep your primary brand domain out of cold outbound entirely.
2. Configure DNS. SPF, DKIM, DMARC on every sending domain. Validate with a third-party tool before sending anything.
3. Provision inboxes. 2–3 mailboxes per domain. Realistic personas for each (real names, profile photos, signatures).
4. Start warm-up. Automated warm-up tools that simulate organic conversation. Plan for 10–14 days before the inbox can sustain cold volume.
5. Set up tracking domains. Separate domain for click tracking so the primary sending domain isn't flagged.

How do I define an ICP and offer that an AI SDR can actually execute on?

The AI is only as sharp as the ICP and offer you hand it. A good ICP for an AI SDR has firmographic filters (industry, size, geography, funding stage), technographic filters (tools they use that signal fit), and an exclusion list (companies you've already worked with, competitors, do-not-contact list).

The offer needs to answer three questions in plain language: (1) Who is this for? (2) What outcome does it produce? (3) What's the asked-for next step? If you can't answer those in 30 seconds, neither can the AI.

What goes in Week 2's ICP and brand voice work?

• Documented ICP with hard filters and soft preferences.
• 1–2 page offer brief — outcome, proof, and CTA.
• Brand voice guide — three tone adjectives, five forbidden phrases, two example emails you'd be proud to send.
• Knowledge base: product overview, top 5 use cases, top 10 objections with responses, three customer stories.
• Reply handling rules: who routes where, SLA, fallback if nobody picks it up.

How do I run the Week 3 pilot without burning the list?

Pilot to 200–500 carefully-selected prospects across two or three sending domains. The point of the pilot is not volume — it's feedback. Review every single email the AI drafts before it sends. For each one, ask: would I send this myself? If not, why not? Feed the "why not" back into the prompt. Two weeks of this calibration is worth six months of running at scale on bad prompts.

Measure three things during the pilot: (1) draft-acceptance rate (what % of AI drafts you'd send unedited), (2) deliverability (inbox placement, bounce rate, spam complaints), (3) early reply quality (are the people who reply actually fit?).

What does Week 4 scale-up look like?

1. Increase volume to target — 1,500–5,000 emails/week depending on infrastructure size.
2. Drop human review to a daily sample of 20 emails, then weekly.
3. Wire CRM handoff so positive replies route to AEs with full context.
4. Set up dashboards: emails sent, reply rate, positive reply rate, meetings booked, opportunities created.
5. Document the playbook so the next ICP launch takes 1 week, not 4.

Sample Week 1–4 milestones to track

What deliverability metrics signal the rollout is healthy?

• Bounce rate below 2% (ideally under 1%).
• Spam complaint rate below 0.05%.
• Open rates in the 30–55% range for cold (lower means inbox placement issues, much higher means tracking pixel weirdness).
• Per-inbox sending volume below 40–50 emails/day initially, scaling to 100–150 over weeks.
• No domain marked as suspicious by Postmaster Tools or equivalent.

Common implementation mistakes that kill the rollout

• Sending from a freshly-warmed inbox at 200 emails/day on day one.
• Skipping the calibration week to "move fast".
• Letting the AI auto-reply to positive intent in week 1 before tone is dialed in.
• Pointing one AI SDR at three ICPs simultaneously — pick one, win, then expand.
• Treating "sent" as success. The only metric that matters in month one is meetings.

What does a healthy month-two and month-three look like?

Month two is about scaling the working configuration, not changing it. Month three is about adding the second ICP or geography. Most teams that get this right see meeting volume double from month one to month three without proportional cost increase — that's the leverage AI outbound is supposed to produce.

How SendroAI compresses this playbook

SendroAI's onboarding maps directly to this four-week structure. Deliverability infrastructure (inbox rotation, warm-up) is configured in days, not weeks. The AI Research Engine accepts the ICP, offer, and brand voice in a single onboarding session. A–Z Testing runs the calibration loop automatically, so you reach a stable draft-acceptance rate faster.