Same automation. Four different workflows.
Tuesday you saw the code. Today you see how real team members actually use it. Managers monitor quality, analysts spot trends, ops track performance, specialists resolve faster.
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 know what every team member needs help with, not just who I randomly sampled."
— Support Manager, 9 years leading teams
How Roles Work Together on One Escalation
Watch how the system helps all four roles collaborate on a high-stakes interaction.
Customer calls about billing error - charged twice for same service
✨ Scroll here to watch the workflow
Team-Wide Impact
| Metric | Before | After | Improvement |
|---|---|---|---|
| Average Handle Time | 8.1 minutes | 3.5 minutes | 57% faster |
| First Contact Resolution | 61% | 78% | +17 points |
| Quality Score Coverage | 5% of interactions | 100% of interactions | 20x coverage |
| Manager Coaching Time | 8 hours/week on reviews | 45 min/week on reviews | 91% time saved |
Getting Your Team On Board
Specialists think AI will replace them or monitor every word
Show it's a helper, not a spy. Frame as 'AI handles notes so you focus on empathy.' Run anonymous trial first.
After 2-week trial, 94% of specialists wanted to keep it. They saw 40% less burnout.
Managers worried about losing human judgment in quality reviews
AI flags issues, manager decides if it matters. Show side-by-side: AI caught 23 compliance risks manager missed in sample.
Managers became biggest advocates when they saw 100% coverage vs their 8% random sample.
Analysts fear their job becomes obsolete if AI scores everything
Reframe role: 'You're not a scorer anymore, you're a strategist.' Show how they can find patterns in 2,000 interactions vs 100.
Analysts discovered 3 product issues in first month that would've taken 6 months to surface manually.
Operations worried about upfront cost and integration complexity
Run ROI calc: 50-person team saves $45K/month in labor efficiency. Show 3-week implementation timeline.
Payback in 22 days. Ops lead became internal champion after seeing real-time dashboard.
Leadership concerned about customer reaction to AI transcription
Customers don't know or care. They notice faster resolution and specialists who actually listen instead of typing.
CSAT went up 11 points in first 60 days. Customers feel more heard, not less.
Investment & ROI
Typical payback in 18-25 days through efficiency gains
Pricing
ROI Calculator
Proven Results
From Demo to Live in 3 Weeks
From demo to production in just 3 weeks
- Connect your phone system & chat platforms
- Import historical interaction data for baseline
- Configure role-specific dashboards
- Set up quality scoring criteria
- Train 5 specialists on AI-assisted workflows (2hr session)
- Train manager on coaching dashboard (1hr session)
- Run pilot with live interactions, gather feedback
- Adjust AI suggestions based on team preferences
- Roll out to all team members with daily check-ins
- Monitor adoption metrics & provide on-demand support
- Run side-by-side comparison vs baseline week
- Celebrate wins & identify optimization opportunities
Enterprise deployments with custom integrations may take 4-6 weeks
2026 Randeep Bhatia. All Rights Reserved.
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