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Services / build / automation

AI SDR Agent

Outbound prospecting that researches before it writes.A pipeline that finds your ICP, researches each prospect with public-only signal, drafts a referenced first-touch + 2 follow-ups, and runs the whole thing through your approval queue before anything sends. Sister to AI Lead Engine but tuned for outbound. Your reviewer hits approve. Nothing else gets sent.

price

from $2,400

timeline

4 weeks

cadence

one-time

scope

One-time / fixed scope

ApolloClayOpenAIAnthropicLemlistSmartleadHubSpot
00// matrix position

Where this fits in the services matrix.

Every service page now names the buyer state, the commercial shape, and the next route. That keeps the catalog navigable instead of feeling like disconnected offers.

01 · best fit

Build automation with a fixed scope and written handoff.

02 · commercial shape

from $2,400 · 4 weeks · One-time / fixed scope

03 · route logic

Use the diagnostic or book a call to confirm fit before scope is written.

04 · decide

Not sure this is the right service? Run the route finder and get the matching path.

00B// system flow

The offer is a route, not a loose task list.

This diagram gives every service page a concrete operating model: intake, system design, implementation, proof, and handoff.

service operating path

Surface ⇄ System

FitbuildScopefrom $2,400Build4 weeksProof5 outcomesHandoffone-time
AI SDR Agent moves from fit check to scoped work, then into build/proof/handoff so the buyer can understand how the engagement actually runs.

AI SDR flow

The diagram is intentionally simplified: it shows the buying logic and operating path, not a decorative fantasy architecture.

price

from $2,400

timeline

4 weeks

cadence

one-time

01// what you walk away with

The outcome, not just the output.

  • 01Prospect list scoring tuned to your closed-won data
  • 02Research-grounded outreach drafts (every claim linked to a public source)
  • 033-step sequence per prospect, all human-approved before send
  • 04Reply triage that routes warm leads to humans
  • 05Weekly performance dashboard
02// scope

Concrete artifacts you keep — and what we leave out.

Working code, written docs, dashboards your team owns. We also list what this engagement deliberately does not cover, so scope is honest before you click.

// deliverables
  • ICP definition + scoring model
  • Enrichment pipeline (Apollo / Clay / Custom)
  • Research module that pulls from job posts, news, podcasts, GitHub
  • Draft → approval queue → send flow with full audit log
  • Reply classifier (hot / warm / not-now / unsubscribe)
  • Send infrastructure (Lemlist / Smartlead / Instantly) wired in
  • 30 days of post-launch tuning
// not included
  • Cold-call automation (out of scope, TCPA risk)
  • Buying contact data (you supply or we recommend providers)
  • Ongoing list-building labor (one-time setup; ongoing is a retainer)
03// methodology

How the engagement actually runs.

  1. 1Week 1

    ICP + score model

    Mine your closed-won, define ICP, build scoring model that matches your wins.

    ICP docScoring modelTest cohort
  2. 2Week 2

    Enrichment + research

    Wire Apollo/Clay enrichment + research module that scrapes public signal sources.

    Enrichment pipelineResearch moduleSample profiles
  3. 3Week 3

    Drafting + approval

    Build draft generator + approval queue. Tune prompts until approval rate clears 70%.

    Draft generatorApproval UIPrompt library
  4. 4Week 4

    Send + reply routing

    Wire send tools, build reply classifier, ship dashboard, hand off.

    Send pipelineReply classifierDashboardRunbook
// track record

Receipts, not promises.

70%+
Draft approval rate
after tuning
8–18%
Reply rate
on warm research
100%
Human-approved sends
no auto-spam
04// questions

Common questions.

01How is this different from auto-spam tools?
Every send goes through your approval queue. The agent drafts; you click send. We measure approval rate, not send volume.
02How do you handle deliverability?
Domain warmup, SPF/DKIM/DMARC setup, send-time pacing, and bounce suppression are all part of the build.
03Will it sound like a robot?
The drafts are research-grounded — they reference something specific about the prospect (job change, recent post, hiring signal). If you would not be proud to send it, we tune the prompt.
// engage

Ready to start AI SDR?

A 30-minute call to confirm fit, scope, and timeline. No pressure, no slides.

automation system

From offer to operating system.

AI SDR Agent is presented as a real engagement, not a generic service page: the surface, backend shape, delivery artifacts, and conversion path are all visible before the first call.

Scope AI SDR

price

from $2,400

timeline

4 weeks

tier

B

Living architecture

Scope ⇄ Ship

The page now exposes how the engagement moves from buyer pain to production artifact, then into measurement and next-step routing.

Scope AI SDR
  1. 01ICP + score modelMine your closed-won, define ICP, build scoring model that matches your wins.
  2. 02Enrichment + researchWire Apollo/Clay enrichment + research module that scrapes public signal sources.
  3. 03Drafting + approvalBuild draft generator + approval queue. Tune prompts until approval rate clears 70%.
  4. 04Send + reply routingWire send tools, build reply classifier, ship dashboard, hand off.

Conversion path

  1. 01

    Diagnose

    Confirm the real automation constraint, current surface, and business goal before writing code.

  2. 02

    Design the system

    Turn the offer into screens, data, workflows, ownership boundaries, and a measurable delivery plan.

  3. 03

    Ship the artifact

    Deliver AI SDR as working code, docs, dashboards, or launch assets your team can actually use.

  4. 04

    Route the next move

    Decide whether the work becomes a one-time delivery, a care plan, or a larger product build.

Proof assets

AI SDR Agent service visual

Asset slot

Service proof visual

Add a real screenshot, deliverable preview, or dashboard capture from a shipped engagement when approved.

pending real proof
Jason Teixeira, founder of Sage Ideas

Verified asset

Founder/operator photo

Real founder photo reinforcing principal-led delivery.

live

Asset slot

Client quote or logo

Add only permissioned testimonials or logos tied to this service category.

pending real proof
livebuild 81e8c8e2026-07-28 06:02Z
// solo studio// no analytics resold// every commit human-reviewed