EXAMPLE IMPLEMENTATION · SALES OPS · 30-DAY SPRINT
- Trigger-based follow-up from CRM stages
- Draft emails from deal context and docs
- Task and reminder creation
- Approval before any outbound send
- Full audit log of agent actions
How teams typically handle this workflow before automation — high friction, low traceability.
What we build in a 30-Day AI Automation Sprint — one working assistant connected to your tools and approval workflow.
Typical integrations for this example — adapted to your stack during discovery.
Tyon connects via APIs where available, email and calendar where teams already work, and browser automation only when legacy tools have no API. You keep control of credentials, data boundaries, and which systems the agent can write to.
Automation proposes — humans approve. Every production Tyon workflow defines where people stay in control.
The standard Tyon sprint cadence for this example — scoped to one production workflow with handover documentation.
Map follow-up triggers, define approval roles, review CRM fields and email templates, set hygiene KPIs.
Configure agent behavior, connect CRM read access, build draft templates and review queue.
Wire email draft/send API, approval flows, task creation, and action logging.
Pilot with one sales pod, measure reply rates and approval throughput, refine triggers, hand over playbook.
Targets we define with you in Week 1 — not generic AI claims. Metrics depend on your baseline and traffic.