A Sales AI Agent that closes gaps in your pipeline—before reps even notice them
Keeps your pipeline honest, your follow-ups timely, and your forecasts grounded in real activity.
From manual work to autonomous execution
The pain
Reps spend more time updating CRM fields and chasing stale deals than actually selling. Managers fly blind until QBR prep reveals the damage.
What ZUUZ does
ZUUZ listens to meetings, emails, and CRM changes, then auto-updates deal records, flags risk signals, and drafts next-best-action recommendations.
The result
Pipeline hygiene improves without manual effort. Forecasts reflect reality. Reps reclaim hours every week for actual selling.
What this agent handles
Every automation runs with evidence, audit trails, and configurable approval gates.
Typical workflows
Real trigger → steps → output sequences. Hover over steps to follow the flow.
Meeting ends with a prospect
CRM updated, follow-up sent, next meeting proposed
Deal inactive for 7+ days
Rep alerted with specific re-engagement playbook
QBR due in 5 days
Draft QBR deck with data-backed insights
Inputs
- CRM (Salesforce, HubSpot)
- Email (Gmail, Outlook)
- Calendar
- Meeting transcripts
- Slack/Teams messages
Outputs
- Updated deal records
- Follow-up drafts
- Risk alerts
- Pipeline reports
- QBR decks
Controls
- Manager approval for stage changes
- Editable drafts before send
- Full audit trail per deal
- Role-based CRM field access
Time & cost impact
Typical savings: 4–8 hrs/week per rep per user. Results depend on current process complexity and volume. We measure actual impact during your pilot—no guesswork.
Placeholder
Cycle time reduction
Placeholder
Fewer handoffs
Placeholder
Fewer follow-ups
Metrics are measured during your pilot. No aggressive guarantees—just data from your own workflows.
See the Sales AI Agent in action on your workflows
Bring your messiest process. We'll show you what changes in the first two weeks.