Same automation. Four different playbooks.
Tuesday you saw the code. Today you see how AEs, SEs, managers, and ops each use it to close deals faster.
Team Workflows
Account Executive
4 hours/deal → 45 min/deal
Before
After
"I went from researching companies to actually talking to them."
— Account Executive, 6 years SaaS sales
How Roles Work Together on One Deal
Watch how the same AI-generated intel flows through four different workflows.
Enterprise deal: $180K ARR, 45-day sales cycle
One AI research session powers four different workflows. Deal moves 3x faster because nobody's waiting for information.
Team-Wide Impact
| Metric | Before | After | Improvement |
|---|---|---|---|
| Avg Deal Cycle | 62 days | 23 days | 63% faster |
| Deals Closed/Month | 12 deals | 34 deals | 183% more |
| Research Time/Deal | 4.5 hours | 0.5 hours | 89% reduction |
| Win Rate | 18% | 31% | 72% increase |
Getting Your Sales Team On Board
AEs think AI will replace their relationship-building skills
Show time breakdown: 'AI handles research (4 hours saved), you spend those 4 hours building relationships.' Frame as 'research assistant' not 'sales replacement.'
AEs realize they get more face time with prospects, not less. Adoption goes from 30% to 95% in 3 weeks.
Sales Engineers worry AI demos won't match their technical depth
Run A/B test: AI-prepped demos vs manual prep. Show AI catches technical requirements SEs missed 40% of the time.
SEs start requesting AI briefs before every demo. Quality goes up, prep time goes down.
Managers concerned about losing 'feel' for their pipeline
Keep 1:1s, add AI dashboard. Show how AI flags at-risk deals 2 weeks earlier than gut instinct.
Managers use AI as early warning system. Forecast accuracy improves 23%.
Ops worried about AI breaking existing integrations
Pilot with 3 AEs for 30 days. Monitor data quality daily. Show zero CRM errors vs 15-20 errors/week before.
Ops becomes biggest AI advocate. Rolls out to full team ahead of schedule.
Leadership concerned about ROI and implementation time
Calculate savings: 53 hours/week saved × $75/hour = $206K/year. Implementation: 2 weeks to full deployment.
ROI positive in 45 days. Leadership approves budget for enterprise rollout.