AI operating concepts

Move from agents that answer to agents that operate inside bounded workflows.

AI agents become more useful when identity, data access, allowed actions, memory, and results remain attached to the same operating context.

Where work breaks down

  • Agents without real business context
  • Unclear permissions
  • Actions separated from auditability

Build it with Launch

  • Agent-enabled apps
  • Operator interfaces
  • Workflow tools

Run growth with Grow

  • Prospecting agents
  • Reply workflows
  • Pipeline actions

Connected context

Work with the systems already in your stack.

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

CRM systemsEmailCalendarsExplore 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

How is an AI agent different from a chatbot?

An agent can participate in a workflow and take bounded actions, while a chatbot is primarily conversational.

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