AI customer support
has changed.
Has Decagon kept up?

Decagon still requires your team to rip out existing tools, wait months for managed deployment, and file engineering tickets for every change. Maven AGI deploys alongside your current stack in days — and hands control back to your CX team.

THE REAL PROBLEM

The managed AI approach isn't built for
how enterprise CX actually works.

When Decagon launched, the idea of a fully managed AI deployment sounded appealing. Hand it to the vendor, they build the agent, you get results. But enterprise support teams quickly discovered the catch - you never actually own it.

THE 4 HIDDEN COSTS ENTERPRISE CX TEAMS DISCOVERED

Engineering dependency
Every change goes through Decagon. CX teams file tickets and wait. 
No one is in control.
Forced
migration
Rip out Zendesk, Salesforce, or Intercom. Months of disruption before any value.
Opaque
pricing
Custom contracts, no public benchmarks. No way to forecast or compare.
Commercial
lock-in
Switching costs scale with customization. You're locked in technically and commercially.

That’s why enterprise CX teams
are switching to

We’re Trusted by Analysts

Rated
Customer Service Automation
AI Customer Support Agents
AI Agents
CX Agents
Agentic AI
Mid-Market AI Customer Support
Mid-Market AI Customer Support