Rock 01 · Category
Claim AI contact center
before the window closes.
We called 63 enterprise contact centers. Built an AI agent that dials like a real customer, navigates every IVR tree, and extracts structured intelligence. The data makes Cresta the category author — not just another vendor.
What we found
58%
of enterprise contact centers have no AI at the front door. Zero conversational AI on any inbound channel.
71%
run 4 or more IVR levels before a customer reaches help. The average customer abandons at 2.5 minutes.
86%
are on platforms 5+ years old. Genesys, Avaya, and NICE dominate. Legacy infrastructure everywhere.
Platform breakdown — 63 calls
Who's running your competitors' contact centers
Identified from IVR signature and audio fingerprinting across all 63 calls
86% of the 63 contact centers are on platforms that are 5 or more years old. The replacement cycle is now.
AI maturity breakdown
The 42% who had "some AI"
Of the 42% of contact centers with AI detected on the inbound path:
23% had basic intent routing only — not true NLU, just keyword trees
14% had a chatbot handoff only — no voice AI at all
Only 5% had production-grade conversational AI
The most surprising finding
The best contact centers weren't the most automated. They were the ones with the best handoffs.
Fast escalation to a human when needed
Context passed cleanly — customer never repeats themselves
Human agent briefed before pickup — sees the full conversation
Seamless voice: AI → human feels like a warm transfer, not a drop
Competitive landscape
9 vendors mapped · Cresta's win angle against each
ICP qualifier: 200+ agent seats · complex conversations · Genesys/Avaya/NICE/Five9 stack
| Vendor | Their Angle | Cresta Wins On | Threat |
|---|
| Observe.AI | Post-call QA, coaching. Good analytics layer. | Real-time guidance during the call, not just after. Unified human + AI agents. | High |
| Level AI | SMB-friendly, fast deploy, basic copilot. | Enterprise depth, Forrester Leader status, proven at United Airlines scale. | Medium |
| Balto | Real-time script adherence, compliance focus. | Full platform — AI agents + agent assist + QA vs. single-use script tool. | Medium |
| Cognigy | Enterprise-grade voicebot, strong in Europe. | Native agent assist integration, better US enterprise sales motion. | Medium |
| Google CCAI | GCP bundle play, dialogflow voicebots. | Contact center-specific, not bolted-on cloud infra. Better agent UX. | Medium |
| NICE CXone | All-in-one platform, broad footprint. | AI-native vs. AI-bolted-on. Real-time vs. reporting-only. | Low |
| Nuance / Microsoft | Azure ecosystem, legacy NLU. | Modern LLM-native architecture. Ecosystem-independent. | Low |
| Salesforce Einstein | CRM-native, Service Cloud users. | Voice AI depth. Salesforce-first orgs disqualified anyway. | Low |
| Five9 | CCaaS replacement, not AI overlay. | AI layer ON existing CCaaS — no rip-and-replace required. | Low |
Proof — Forrester Wave Leader
Forrester named Cresta a Leader in Conversation Intelligence — highest Current Offering score.
Current Offering measures what you can deploy today. Not roadmap. Not potential. Not "coming in H2." What exists in production, at enterprise scale, right now.
15%
Lower AHT at United Airlines after Cresta deployment
97%
Of United agents who'd be disappointed if Cresta was removed
50%
Cost reduction reported by some customers (CB Insights Voice AI)