SABSUS module
AI Automations connected to the rest of the operating system
Trigger-based AI flows for qualification, follow-ups, segmentation, internal tasks, analytics insights and operational decisions.
Capture
Capture activity in AI Automations and keep it attached to the customer, order, product or location record.
Route
Push the next action to the correct team, screen or automation flow for companies that want AI inside operations instead of another chat window.
Automate
Send the resulting data into analytics, AI prompts and follow-up workflows without manual copying.
Core
AI Automations
Shared records, status changes, permissions, triggers and reporting.
AI Automation
Flow Automation
CRM
Analytics
Trigger
AI Automations: Trigger tasks and notifications when AI Automations changes status.
AI decision
AI Automations: Use AI to classify, summarize or prioritize records before a manager reviews them.
Action
AI Automations: Create follow-ups, approvals and customer messages from operational events.
Evidence
AI Automations: Trigger tasks and notifications when AI Automations changes status.
What this module actually controls
AI Automations is not a standalone screen: Trigger-based AI flows for qualification, follow-ups, segmentation, internal tasks, analytics insights and operational decisions.
4
Data
3
Flows
5
Links
3
Automations
Data it stores and governs
- AI Automations stores triggers, conditions, actions, approvals and exception paths so teams work from one operational record.
- AI Automations stores customer profiles, segments and communication history so teams work from one operational record.
- AI Automations stores metrics, dashboards, branch comparisons and operational events so teams work from one operational record.
- AI Automations stores call records, scripts, lead qualification and follow-up tasks so teams work from one operational record.
Workflows it controls
- AI Automations controls the step: Capture activity in AI Automations and keep it attached to the customer, order, product or location record.
- AI Automations controls the step: Push the next action to the correct team, screen or automation flow for companies that want AI inside operations instead of another chat window.
- AI Automations controls the step: Send the resulting data into analytics, AI prompts and follow-up workflows without manual copying.
Modules it connects with
- AI Automations shares context with AI Automation so the next team does not re-enter the same data.
- AI Automations shares context with Flow Automation so the next team does not re-enter the same data.
- AI Automations shares context with CRM so the next team does not re-enter the same data.
- AI Automations shares context with Analytics so the next team does not re-enter the same data.
- AI Automations shares context with AI Voice Agents so the next team does not re-enter the same data.
Examples by industry
- Restaurants use AI Automations to connect orders, kitchen status, inventory and repeat visits.
- Retail teams use AI Automations for product, customer, discount and channel sales context.
- Franchises use AI Automations to standardize process execution and branch reporting.
Operational workflow
Trigger-based AI flows for qualification, follow-ups, segmentation, internal tasks, analytics insights and operational decisions.
Capture activity in AI Automations and keep it attached to the customer, order, product or location record.
Push the next action to the correct team, screen or automation flow for companies that want AI inside operations instead of another chat window.
Send the resulting data into analytics, AI prompts and follow-up workflows without manual copying.
Automation layer
- AI Automations: Trigger tasks and notifications when AI Automations changes status.
- AI Automations: Use AI to classify, summarize or prioritize records before a manager reviews them.
- AI Automations: Create follow-ups, approvals and customer messages from operational events.
Business outcomes
- Less duplicate entry between systems.
- Clearer ownership across teams and locations.
- Operational data that is ready for reporting and automation.
Related pages
Implementation
A practical launch path
AI Automations launches in operational stages: data model first, process control second, automation and reporting after that.
Define the records: triggers, conditions, actions, approvals and exception paths; customer profiles, segments and communication history.
Connect roles, statuses and modules: AI Automations shares context with AI Automation so the next team does not re-enter the same data. AI Automations shares context with Flow Automation so the next team does not re-enter the same data.
Turn on rules, alerts, AI prompts and reporting for AI Automations.
Questions teams ask before implementation
Can AI Automations work without the other modules?
Yes, AI Automations can start as a focused module, but its value grows when it shares data with the adjacent workflow modules: customer records, inventory, analytics, AI automations and customer-facing experiences.
Can it be adapted to custom workflows?
SABSUS is modular: fields, stages, automations, permissions and customer-facing screens can be shaped around the way your team actually works.
SABSUS
Talk to a product architect
Trigger-based AI flows for qualification, follow-ups, segmentation, internal tasks, analytics insights and operational decisions.