Same automation. Four different workflows.
Tuesday you saw the code. Today you see how real team members actually use it. Managers strategize, analysts optimize, ops execute, AI scales.
Team Workflows
See how different roles use the same system to transform their daily work.Click each role below
Before Automation
With Automation
Workflow Process
Impact By The Numbers
"I finally have time to think strategically instead of drowning in reports."
— Marketing Manager, 9 years retail
How Roles Work Together on One Customer Journey
Watch how all four roles collaborate through the system to re-engage a lapsing customer.
High-value customer hasn't purchased in 30 days
✨ Scroll here to watch the workflow
Practice-Wide Impact
| Metric | Before | After | Improvement |
|---|---|---|---|
| Campaign Launch Time | 3-5 days (brief → creative → schedule) | 4 hours (approve → AI executes) | 94% faster |
| Customer Segments Managed | 12 manual segments | 128 AI-maintained segments | 10.7x more granular |
| Personalization Accuracy | 68% relevant (broad segments) | 91% relevant (individual signals) | +23 percentage points |
| Revenue Per Customer | $127 average order value | $186 average order value | +46% lift |
Getting Your Team On Board
Marketing manager: 'AI will make recommendations I don't agree with'
Show approval workflow: AI recommends, you decide. Run parallel for 30 days, track which performs better.
Managers see AI catches opportunities they miss (like time-of-day patterns). Trust builds through data.
Analyst: 'AI will replace my job if it does all the analysis'
Frame as 'AI handles reporting, you handle insights.' Show time freed: 9 hours/week for strategic projects.
Analysts become strategic advisors instead of data janitors. More valuable, not less.
Operations: 'System will break and I won't know how to fix it'
Provide fallback plan: AI pauses campaigns if confidence drops below 80%. Ops can always override.
Safety nets reduce anxiety. Ops sees AI as safety tool, not risk.
Executive: 'This sounds expensive and risky'
Calculate ROI: $5K/month investment saves $18K/month in staff time. 10-day payback period.
Show monthly savings chart. Decision becomes obvious when numbers are transparent.
IT: 'Another tool to integrate and maintain'
Pre-built connectors for Shopify, Klaviyo, Attentive, Google Analytics. 2-hour setup, not 2 weeks.
IT sees it reduces their workload (fewer manual data exports). Becomes advocate.
Investment & ROI
Typical payback in 10-15 days through time savings and revenue lift
Pricing
ROI Calculator
Proven Results
From Demo to Live in 3 Weeks
From demo to production in just 3 weeks
- Connect data sources (Shopify, Klaviyo, Attentive, GA4, etc)
- Import customer history and product catalog
- Configure role-specific dashboards
- Set up segmentation rules and campaign templates
- Train each role on their workflow (3hr sessions)
- Run pilot campaign with AI recommendations
- Compare AI performance vs manual baseline
- Gather feedback, adjust configurations
- Roll out to all campaigns and segments
- Daily check-ins for first week
- Measure baseline metrics vs new performance
- Optimize AI models based on your data
Enterprise deployments with custom integrations may take 4-6 weeks
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