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Research9 min readMar 8, 2026

AI SDR vs Human SDR: 3-Month Experiment for a B2B IT Services Firm

TechFlow Solutions ran a 90-day parallel experiment: three human SDRs versus one AI SDR agent. The results were surprising — and not just in the obvious direction.

M
Maya Chen
Co-founder & CTO
👥

The Setup


TechFlow Solutions (London) ran an experiment from October–December 2025. Three human SDRs on one side, our AI SDR agent on the other. Both targeting the same ICP: IT decision-makers (CTO/VP Eng) at companies with 50–500 employees in the UK, US, and EU.


Methodology


Both teams received the same lead lists — 1,200 contacts each. Same ICP, same industries, different outreach mechanisms.


  • Human SDRs: LinkedIn + email, manually personalised
  • AI Agent: LinkedIn automation + Playwright-scraped personalisation context

90-Day Results


MetricHuman SDRs (3)AI Agent (1)
Leads contacted8471,987
Reply rate24%18.4%
Meetings booked6748
Cost/meeting$99$22
Meetings/month2216

The Nuanced Story


Human SDRs had a higher reply rate (24% vs 18.4%) — which was expected. Personalisation at human level is genuinely better.


But cost per meeting was 4.5x cheaper with AI. And the AI ran 24/7 — following up at 7am when a US prospect first opens their laptop.


Where AI Won


1. Volume: The AI contacted 2.3x more leads in the same period

2. Consistency: No bad days, no sick days, no "I'll do it tomorrow"

3. US market: AI follow-ups at the right timezone made a measurable difference

4. Cost: $299/month vs $12,000/month for three SDRs


Where Humans Won


1. Complex deals: Deals over $12K needed human nuance and relationship-building

2. Objection handling: Novel objections confused the AI

3. Reply quality: Human replies led to longer conversations, higher close rates


Conclusion


The winning strategy: use AI for top-of-funnel volume and qualification, hand off to humans for deals over $6K. This is exactly how TechFlow now operates.

SDRB2BResearchGlobal
M
Maya Chen
Co-founder & CTO

Writing about AI automation, growing businesses worldwide, and building products that work across languages and markets.

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