Same pricing engine. Four different workflows.
Tuesday you saw the code. Today you see how product managers, finance leads, analysts, and growth managers actually use it. Each role has different goals, different dashboards, different wins.
Team Workflows
Product Manager
3 hours → 20 min per pricing decision
Before
After
"I finally have time to think about product strategy instead of updating spreadsheets."
— Product Lead, 7 years SaaS
How Roles Work Together Through the System
Watch how the team responds to a competitive threat in real-time.
New competitor launches with aggressive pricing
Competitive response in 8 hours vs 2 weeks. Revenue protected, margins intact, zero panic.
Practice-Wide Impact
| Metric | Before | After | Improvement |
|---|---|---|---|
| Time to Price Change | 3-5 days (manual process) | 4 hours (automated) | 92% faster |
| Pricing Decisions/Month | 50 (capacity limit) | 200+ (AI-assisted) | 4x throughput |
| Margin Visibility | Daily snapshots (lagging) | Real-time alerts (proactive) | Same-day response |
| Team Coordination Time | 6 hours/week (meetings) | 1 hour/week (dashboard reviews) | 83% reduction |
Getting Your Team On Board
Product managers worry AI will make pricing decisions without them
Show approval workflow: AI recommends, humans approve. PM has final say on every price change.
PMs see it as 'super-powered analyst' not 'replacement.' Adoption in 1 week.
Finance doesn't trust AI margin calculations
Run parallel for 30 days: manual spreadsheets vs AI. Show 99.7% accuracy, catches errors humans missed.
CFO becomes biggest advocate after AI flags $40K margin leak in week 2.
Data team fears being automated out of jobs
Reframe: 'You'll spend 80% less time on reports, 80% more time on strategy and insights.'
Analysts love not being 'human dashboards.' Retention improves.
Growth worried about losing control of experiments
Demo self-service UI: configure tests in 15 min vs 3-day eng tickets. Growth runs experiments, not waits for them.
Growth ships 3x more tests per quarter. Velocity becomes competitive advantage.
Leadership concerned about upfront cost vs ROI
Calculate time savings: 140 hours/week saved × $75/hour = $10,500/week = $546K/year. Payback in 8 weeks.
ROI becomes obvious. Question shifts from 'should we?' to 'how fast can we deploy?'