AI Lead Generation & Outreach
Outbound that doesn't read like spray.
AI-powered B2B prospecting that researches each lead, drafts personalised emails referencing real signals (podcasts, posts, role moves), and only sends after you approve. Volume of automation, quality of hand-written.
You approve every send
GDPR-friendly
5-12% reply rate typical
Outbound pipeline · this week
Running
ICP build
stage 1
—
Prospect search
stage 2
412
Enrich + research
stage 3
284
Personalise draft
stage 4
284
Human approval
stage 5
247
Send
stage 6
247
Reply tracked
stage 7
34
Personalised draft · awaiting your approval
Draft 247/247
To: morgan.ohara@northway.io
Subject: Saw you spoke at SaaStock about renewals churn
Hi Morgan,
Your SaaStock panel last month — the bit about post-renewal expansion — stuck with me. We've helped 3 RevOps teams build the same motion you described.
Worth 15 minutes to swap notes?
Rajesh
The outbound stack
Four moves an AI does well in outbound.
ICP-fit scoring
Score every prospect against your real ICP — industry, size, role, tech stack, signals. Filter out 80% that wouldn't have converted anyway.
Per-lead research
Pull each prospect's LinkedIn activity, podcast appearances, recent posts, role changes. Real signal, not boilerplate.
Personalised drafting
Draft based on real signal: 'saw your post on X', 'noticed your team's hiring for Y'. Reads like a human researched the lead — because the AI did.
Reply triage
Classify every reply as interested / not-now / out-of-office / unsubscribe. Route the right ones to your inbox, snooze the rest.
Where the human stays in the loop
The 90/10 rule: AI does 90%. You decide the 10% that matters.
Fully automated outbound that nobody reviews is how brands burn domain reputation. We design the workflow so AI handles volume, your salesperson handles approval — usually 10-15 minutes a day for 100+ touches.
AI handles
- Sourcing from LinkedIn, Apollo, Cognism, public web
- Enrichment with social signals + recent activity
- Drafting the email with personalisation
- Reply classification + auto-responses for OOO
- Scheduling sends in your timezone window
- Reporting + funnel metrics
You handle
- ICP definition + voice/tone briefing (once)
- 10-minute daily review of drafted emails
- One-click approve, edit, or kill per draft
- Real conversations once replies come back
- The actual sales meetings (still your strength)
- Quarterly tuning of voice + ICP
Built on
Tools we wire together.
Apollo.ioCognismLinkedIn Sales NavHunter.ioClaySmartleadInstantlyLemlistClaude / GPT-4oHubSpotPipedriveSalesforcePostmark / SendGridCalendly
Honest limits
Three ways AI outbound burns reputation.
Spray-and-pray volume
Sending 1,000 cold emails/day with thin personalisation gets your domain blacklisted and your reply rate to zero. We cap volume per domain and ramp gradually. Quality of intent > volume of sends.
Fake handwritten claims
AI emails that pretend a real person hand-wrote them at 2am are unethical and increasingly illegal. We send transparently — automation doesn't have to mean deception.
GDPR ignorance
B2B email under GDPR in the EU has rules — legitimate interest basis, prominent opt-out, supplier data lawfulness. We design within these from day one. Sloppy outbound = ICO complaint risk.
Frequently asked
AI outbound questions.
Those tools handle volume but the personalisation is fundamentally template-based ('Hi {first_name}, I saw {company_name}…'). We add a research+drafting layer that actually reads each prospect's recent activity and writes a sentence that proves it. Reply rates typically move from 1-3% to 5-12%.
Related AI services
Works alongside
Give us 50 dream prospects.
We'll show you what 50 personalised drafts look like — researched, drafted, ready to send. If you'd send them as-is, we've earned the conversation.
