AI-native GTM guide
AI SDR vs Human SDR: What Should You Actually Automate?
A practical comparison of AI SDR workflows and human SDR work across research, outreach, qualification, relationship building and pipeline creation.
The idea, at a glance
Compare accepted outcomes, not activity
- PreparationAI drafts; a seller verifies
- ConversationA human interprets buyer intent
- EvaluationCost per accepted opportunity
Direct answer
Use AI for research, enrichment, routing and draft generation; use humans for qualification, context, trust and conversations. The team is considering AI SDR tools as a substitute for traditional prospecting capacity. It can take over parts of the workflow. Whether a role can change depends on the remaining conversation work, review effort and customer outcomes. A vendor demonstration is not a staffing business case.
Public use case · KPN
What the public evidence shows
Microsoft describes KPN connecting Salesforce, Outlook and Teams to support meeting preparation, proposal drafting and CRM updates.
Practical takeaway: Assisted administration is evidence for task redesign, not evidence that an entire sales role can be removed.
Evidence limit: Assisted seller workflows in one organization. This does not demonstrate headcount replacement or guaranteed sales uplift.
Read the source: Microsoft: KPN customer story, 2 June 2025 ↗Public third-party example. No claim of personal involvement by Adrien de Malherbe.
Decision framework
Separate preparation from buyer conversations
Use AI for research, enrichment, routing and draft generation; use humans for qualification, context, trust and conversations.
Use the capacity-versus-conversation decision below as a working method. Adapt its criteria to your own sales cycle and data; it is not a validated industry benchmark.
Worked example
Compare fully loaded costs per accepted opportunity
Illustrative comparison: an agent creates twice as many drafts, but each needs correction and the AE rejects most meetings. That is not twice the sales capacity. Compare accepted opportunities and downstream progression, including the person supervising the agent.
Measurement
Keep a human path for ambiguity
Cost per accepted opportunity = software, data, implementation, supervision and allocated salary cost divided by AE-accepted opportunities. Hold ICP and qualification rules constant.
Practical framework · proposed method
The capacity-versus-conversation decision
| Decision or step | Evidence or output | Review rule |
|---|---|---|
| Account preparation | AI drafts; SDR validates | Fact accuracy and review time |
| Initial reply | Human interprets intent | Meeting quality |
| Qualification | Human tests need and fit | AE acceptance |
| Follow-up administration | Automation tracks agreed actions | Completion and exception rate |
Related
SDR vs AI agent cost calculator
Compare fully loaded operating costs.
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FAQ
Can an AI SDR replace an SDR role?
It can take over parts of the workflow. Whether a role can change depends on the remaining conversation work, review effort and customer outcomes. A vendor demonstration is not a staffing business case.
How should you measure ai sdr vs human sdr?
Cost per accepted opportunity = software, data, implementation, supervision and allocated salary cost divided by AE-accepted opportunities. Hold ICP and qualification rules constant.
Is the public example an Adrien de Malherbe client result?
No. It is an attributed public example from the linked publisher. The proposed frameworks and illustrative scenarios on this page are editorial guidance, not claims of personal involvement or guaranteed outcomes.
Sources and last reviewed
Public examples are attributed to their publishers. Vendor claims are not independently verified. Frameworks and illustrative examples are proposed methods, not client results.
Last reviewed:
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