AI for SDR Productivity

AI USE CASES

AI Application Framework

AI FOR SDR OPERATIONS

EMAIL PERSONALIZATION:
Use AI for:
☐ First draft generation
☐ Subject line variations
☐ Personalization suggestions
☐ Reply optimization

Keep human:
☐ Final edit and review
☐ Relationship context
☐ Tone and authenticity check

RESEARCH AUTOMATION:
Use AI for:
☐ Company summaries
☐ News aggregation
☐ Tech stack identification
☐ Trigger identification

Keep human:
☐ Research prioritization
☐ Insight application
☐ Quality verification

CALL PREPARATION:
Use AI for:
☐ Talking points generation
☐ Objection prep
☐ Company context summary
☐ Persona insights

Keep human:
☐ Strategy decisions
☐ Relationship nuance
☐ Real-time adaptation

AI Impact Assessment

Use Case	Time Saved	Quality Impact	Priority
Email drafts	50-70%	Medium risk	High
Research	60-80%	Low risk	High
Call prep	30-50%	Low risk	Medium
Qualification	20-30%	Medium risk	Low

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IMPLEMENTATION

AI Tool Integration

AI IMPLEMENTATION GUIDE

STEP 1: IDENTIFY USE CASES
☐ Highest time-sink activities
☐ Repetitive tasks
☐ Research-heavy work
☐ Low-creativity tasks

STEP 2: SELECT TOOLS
Considerations:
☐ Integration with existing stack
☐ Ease of use
☐ Output quality
☐ Cost/ROI

STEP 3: PILOT
☐ Test with 2-3 SDRs
☐ Measure time savings
☐ Assess quality impact
☐ Gather feedback

STEP 4: ROLLOUT
☐ Training program
☐ Quality guidelines
☐ Monitoring plan
☐ Iteration process

QUALITY CONTROLS:
☐ Human review required
☐ Authenticity checks
☐ Output sampling
☐ Customer feedback tracking

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Quick Reference: Which Resource for Which Challenge

Challenge	Recommended Resources
"Building SDR team"	#335, #342
"Response rates low"	#336, #337, #345
"Phone skills need work"	#338, #347
"LinkedIn not working"	#339
"Inconsistent qualification"	#340, #341
"SDR performance varies"	#343, #344
"Comp plan issues"	#346
"Need to differentiate"	#348

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Every resource built to the Human Standard. Every resource designed to generate qualified pipeline at scale.