AGENTIX · AUTOMATION LIVE IN 2-5 BUSINESS DAYS / 2026
← All 10 automations § Automation · for B2B sales teams / SaaS / consultancies

Your SDR Sends 40 Emails a Day. This Sends 500, Personalized.

B2B sales teams are spending 15-30 minutes per prospect on research that produces a template email with a first-name merge tag.

Scope this for my team → Book a 30-min call
Live · deploy in 2-5 business days
The path, in brief · full flow below
  1. 01Define ICP filters and pull verified leads from Apollo
  2. 02Enrich each lead with 4-5 live signals via Clay waterfall
  3. 03Verify every email address before it enters any sequence
  4. 04Generate a unique icebreaker per lead using Claude with structured signal prompts
  5. +4 more →
500 personalized emails per day Daily sending capacity with unique icebreaker per lead first-party build
2.3% to 17.8% reply rate Reply rate improvement within 90 days first-party build
80-90% reduction in prospect research time Time per lead from enrichment to send-ready first-party build
Below $150-250 cost per booked meeting Cost per meeting versus $500-1,000 with in-house SDR industry benchmark
first-party / client deployment industry benchmark
§ The shift

What changes the day
this goes live.

No jargon. Here's the before, and the after, for the people who feel it every day.

Today, without it
  • Personalization collapses the moment you try to scale past 50 emails a day
  • Domains burn faster than your warm-up pool can recover them
  • Your sequencing tool automates sends but cannot route replies intelligently
  • Apollo and Clay give you coverage but the data overlap and gaps create a manual reconciliation job
From day one, with it
  • 500 personalized emails per day Daily sending capacity with unique icebreaker per lead
  • 2.3% to 17.8% reply rate Reply rate improvement within 90 days
  • 80-90% reduction in prospect research time Time per lead from enrichment to send-ready
  • Below $150-250 cost per booked meeting Cost per meeting versus $500-1,000 with in-house SDR
§ Where it earns its keep

One SDR’s day.
Now it runs itself.

The same outbound engine, pointed at whoever you sell to. Click a profile.

The moment

“Your one SDR can do 80 touches a day. Your market is 40,000.”

What the AI does
  • Enriches every prospect with Clay + Apollo
  • Writes a hook from their role, stack and recent news
  • Sequences follow-ups, pauses the instant they reply
The win500 personalised emails a day, the coverage of a 6-person SDR team.
The moment

“New business stalls every time delivery gets busy.”

What the AI does
  • Keeps a steady outbound drip running in the background
  • Personalised per niche, never one mass blast
  • Books replies straight to your calendar
The winA pipeline that fills whether or not you have time to prospect.
The moment

“The best candidates never answer a generic InMail.”

What the AI does
  • Targets by skill, title and company signals
  • Opens with something only that person would get
  • Follows up until they say yes or no
The winMore qualified candidate replies, none of the manual sending.
The moment

“You want 200 new stockists but have two people.”

What the AI does
  • Builds the buyer list from store data
  • Writes a pitch tuned to each retailer
  • Tracks opens, replies and reorders
The winRetail outreach at a scale two people could never hit by hand.
The moment

“Referrals dried up and cold outreach feels off-brand.”

What the AI does
  • Researches each firm before it writes a word
  • Leads with a relevant insight, not a pitch
  • Hands warm replies to a partner
The winOutbound that sounds like you wrote it, at 100× the volume.
How it works

AI in the loop,
not Zapier with steps.

Every step is a real decision: read the context, make the call, take the action. Here's the path, end to end.

FIG.01, the execution path · 8 steps, fully automated
01 Define ICP filters and pull verified leads from Apollo
02 Enrich each lead with 4-5 live signals via Clay waterfall
03 Verify every email address before it enters any sequence
04 Generate a unique icebreaker per lead using Claude with structured signal prompts
05 Insert icebreaker into email template and load into Instantly sequence
06 Monitor domain health and warm-up pool status continuously
07 Classify every reply and route to the correct follow-up logic
08 Report on cost per booked meeting across ICP segments and icebreaker variants
Cold Email Automation, the real production workflow
FIG.02, the actual workflow running in production · not a slide drawing
Built with Apollo / Clay (lead intelligence + enrichment)AnyEmailFinder (email verification)n8n (orchestration)Claude/GPT (unique icebreaker generation per lead)Instantly / Smartlead (sending infrastructure + domain warm-up + deliverability)
§ Honest fit

Right for you?
Straight answer.

We'd rather tell you it's the wrong build than ship you the wrong build.

A strong fit if
  • You are sending or want to send more than 200 cold emails per week and personalization quality is already the bottleneck, not list availability
  • You have a defined ICP with specific firmographic and seniority criteria, this system filters and enriches, it does not invent targeting strategy
  • Your sales cycle involves an initial cold outreach step and a human closer, this system books meetings, it does not close deals
  • You are willing to invest in proper domain infrastructure (4-6 domains minimum, 3-4 week warm-up period) before expecting volume results
  • You can define what a positive reply looks like and what the CRM handoff should trigger, the classification logic needs a decision framework to execute against
Probably not, if
  • You need results in under 30 days, domain warm-up and pipeline calibration require 3-4 weeks before full volume is responsible
  • Your ICP is undefined or changes week to week, this system executes a targeting strategy, it does not create one
  • Your average deal value is under $3,000 ACV, the economics of personalized outbound infrastructure do not stack at low ACV
Usually deployed by Head of Sales or VP Sales at a B2B SaaS company with ACV above $5,000 trying to scale outbound without proportionally scaling headcountBusiness Development Manager at a management consultancy or professional services firm who owns the outbound pipeline and is currently doing it manuallyFounder or Co-Founder of a B2B company who is the first salesperson and needs to run outbound at SDR volume without hiring an SDROutbound agency owner managing cold email campaigns for 3-10 clients who needs to increase throughput per operator without sacrificing reply quality
§ Talk it through

Not sure it's the right build?
That's the 30-minute call.

We scope it against your real stack and tell you honestly if a simpler fix wins. Built and shipped by the Agentix engineering team, who we are →.

Scope this build → Start with a $5K ops audit
Where this sits Solution Rapid Automations Service Operations audit Service AI assurance, eval & regression Index All 10 documented builds
§ What you get

Live in 2-5 business days.
Yours on day one.

Scoped, built, QA'd and handed over, self-hosted, documented, owned by you. No per-seat fees, no lock-in.

Day 1
  • ICP criteria workshop: define firmographic filters, seniority targets, and explicit exclusion logic before any data is pulled
  • Apollo and Clay accounts connected, API keys verified, enrichment waterfall order defined per your ICP
  • AnyEmailFinder integration configured with bounce threshold monitoring set at 2% ceiling
Days 2-3
  • n8n orchestration pipeline built end-to-end: Apollo pull, Clay enrichment, AnyEmailFinder verification, Claude icebreaker generation, Instantly sequence load
  • Claude prompt engineering: 4-5 signal extraction logic tested against 50 real leads from your ICP with specificity scoring on every output
  • Reply classification webhook built and tested: positive, negative, OOO, and referral routing logic verified with sample reply set
Days 4-5
  • Full end-to-end test run: 100 leads through the complete pipeline, every icebreaker reviewed, bounce rate confirmed below 2%, domain health checked
  • Reporting dashboard live: reply rate, positive reply rate, bounce rate, and cost per booked meeting visible by ICP segment
  • Handoff documentation: how to add new ICP segments, how to update icebreaker prompts, how to monitor domain health, what metrics indicate a problem
Post-Launch
  • Reply rate reviewed at day 14 and day 30 against baseline, icebreaker prompts and ICP filters adjusted based on which segments are converting
  • Domain health monitoring: any domain showing deterioration is rotated out before it affects active campaign deliverability
  • Optimization loop: underperforming ICP sub-segments retired, capacity doubled on converting segments based on cost-per-meeting data
Get started

Want this running
in 2-5 business days?

Tell us how the process works for you today. We'll scope it against your exact stack in 30 minutes, and tell you honestly if it's the right build.

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AGENTIX TECH · Cold Email Automation · self-hosted · you own it