Same competitive intel. Four completely different workflows.
Tuesday you saw the automation code. Today you see how sales leads, ops, AEs, and trainers actually use it daily. Each role has different needs, different dashboards, different wins.
Team Workflows
See how different roles use the same system to transform their daily work.Click each role below
Before Automation
With Automation
Dashboard Metrics
Impact By The Numbers
"I finally have time to actually lead the team instead of being a research assistant."
— Sales Lead, 9 years enterprise software
How Roles Work Together on One Deal
Watch how all four roles collaborate in real-time using the same AI-powered system.
Enterprise prospect mentions competitor 'Acme Corp' in discovery call
✨ Scroll here to watch the workflow
Team Performance Before & After
| Metric | Before | After | Improvement |
|---|---|---|---|
| Average Deal Cycle | 52 days | 34 days | 35% faster |
| Win Rate vs Competitors | 52% | 73% | +21 points |
| Time Spent on Research | 6 hours per deal | 45 minutes per deal | 88% reduction |
| Battlecard Freshness | Updated quarterly | Updated within 24 hours | 90x faster |
Getting Your Sales Team On Board
AEs think AI will replace their expertise
Show time savings data: 'You'll spend 5 hours less on research, 5 hours more selling.' Frame as 'research assistant' not 'replacement.' Top performers adopt first because they see it as competitive advantage.
AEs who use it close 40% more deals. Word spreads fast.
Sales Ops worried about data accuracy
Run parallel for 30 days: manual analysis + AI analysis. Compare results. AI catches patterns humans miss (analyzed 10,000 calls vs 50 manual reviews). Show confidence scores on every insight.
Ops becomes biggest advocate after seeing AI find $2M pipeline risk they missed.
Sales Lead concerned about upfront cost
Calculate ROI: Team of 12 saves 96 hours/month = $9,600 in time. Subscription costs $5K/month. Net savings: $4,600/month. Payback in 30 days. Plus 21-point win rate improvement = $400K+ annual revenue impact.
CFO approves within one meeting after seeing math.
Training Lead thinks it will eliminate their role
Show shift from 'content creator' to 'strategic coach.' AI handles repetitive updates, trainer focuses on high-value coaching and onboarding. Promotion rate for enablement leaders using AI: 2.3x higher (they deliver measurable impact).
Training lead gets promoted to VP Enablement within 18 months.
Reps don't trust AI-generated battlecards
Show sources for every claim (links to competitor docs, customer quotes, analyst reports). Let reps edit and improve AI output (they feel ownership). Track which battlecards lead to wins (data builds trust).
After 3 wins using AI battlecards, reps become evangelists.
Investment & ROI
Typical payback in 30 days through time savings and increased win rates
Pricing
ROI Calculator
Proven Results
From Demo to Live in 3 Weeks
From demo to production in just 3 weeks
- Connect CRM (Salesforce/HubSpot) and call intelligence tools
- Import existing battlecards and competitive docs
- Configure competitor tracking (URLs, keywords, alerts)
- Set up role-specific dashboards for each persona
- Train sales lead and ops on admin features (2 hours)
- Train 5 pilot AEs on daily workflows (1 hour each)
- Pilot group uses system on real deals
- Gather feedback, adjust configurations and prompts
- Train remaining AEs in cohorts (3 sessions)
- Enable training lead to create content from AI insights
- Daily check-ins for first week of full deployment
- Measure baseline metrics vs new performance
Enterprise deployments: 4-6 weeks for custom integrations and multi-region rollouts
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