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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.
service graph
Surface ⇄ System
- price
- from $2,400
- timeline
- 4 weeks
- cadence
- one-time
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
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.
- 1Week 1
ICP + score model
Mine your closed-won, define ICP, build scoring model that matches your wins.
ICP docScoring modelTest cohort - 2Week 2
Enrichment + research
Wire Apollo/Clay enrichment + research module that scrapes public signal sources.
Enrichment pipelineResearch moduleSample profiles - 3Week 3
Drafting + approval
Build draft generator + approval queue. Tune prompts until approval rate clears 70%.
Draft generatorApproval UIPrompt library - 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 target
- after tuning
- 8–18%
- Reply-rate range
- benchmark, not a promise
- 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 SDRautomation system
Surface ⇄ System
- price
- from $2,400
- timeline
- 4 weeks
- tier
- B
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- 01ICP + score modelMine your closed-won, define ICP, build scoring model that matches your wins.
- 02Enrichment + researchWire Apollo/Clay enrichment + research module that scrapes public signal sources.
- 03Drafting + approvalBuild draft generator + approval queue. Tune prompts until approval rate clears 70%.
- 04Send + reply routingWire send tools, build reply classifier, ship dashboard, hand off.
Conversion path
Surface ⇄ System
01
Diagnose
Confirm the real automation constraint, current surface, and business goal before writing code.
02
Design the system
Turn the offer into screens, data, workflows, ownership boundaries, and a measurable delivery plan.
03
Ship the artifact
Deliver AI SDR as working code, docs, dashboards, or launch assets your team can actually use.
04
Route the next move
Decide whether the work becomes a one-time delivery, a care plan, or a larger product build.
Proof assets
Real only
Asset slot
Service proof visual
Add a real screenshot, deliverable preview, or dashboard capture from a shipped engagement when approved.
Verified asset
Founder/operator photo
Real founder photo reinforcing principal-led delivery.
Asset slot
Client quote or logo
Add only permissioned testimonials or logos tied to this service category.