AI operating concepts

Connect AI decisions to the real systems and handoffs where work happens.

AI workflows are most useful when the trigger, context, decision, action, and result remain traceable across the systems involved.

Where work breaks down

  • Automation spread across point tools
  • Manual handoffs
  • Weak traceability

Build it with Launch

  • Intake workflows
  • Approval tools
  • Operations apps

Run growth with Grow

  • Lead workflows
  • Follow-up
  • Meeting and pipeline actions

Connected context

Work with the systems already in your stack.

These are representative connections. UbiGrowth supports 700+ connections across business systems.

SlackGmailGoogle DriveCRM systemsExplore 700+ connections →

Business case

Test the business case with your own operating assumptions.

Use the ROI calculator to model lead volume, close rate, deal value, and manual workload rather than relying on a generic outcome claim.

Calculate your ROI →

Questions

Can AI workflows include human approvals?

Yes. Bounded execution can include human decision points where the workflow requires them.

Choose your starting point

Start with the smallest surface that solves the problem. Expand when the work expands.

ARIA gets you to a first working result. Launch is the individual builder. Grow adds revenue execution. Team connects shared company work. Enterprise adds larger-scale onboarding and governance.

CapabilityTry ARIALaunch ProGrowTeamEnterprise
AI build assistant
Website generation
CRM
Email automation
Scheduling
700+ connections
Team collaboration
Voice AI
Revenue attribution
Dedicated onboarding
Next stepTry ARIAStart LaunchGrow RevenueChoose TeamTalk to Sales
Try ARIAStart LaunchGrow RevenueTalk to Sales