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THE AI BLIND SPOT

Agentic AI is scaling faster than anyone can monitor it

The rush to deploy agentic bots has outpaced the ability to audit what they actually do — and customers are already telling researchers how that's going.

59%

of consumers say AI agents are frustrating to deal with.

Source: AnswerConnect / OnePoll survey of 6,000 consumers, April 2026 

$3T

in global revenue is at risk from poor customer experiences every year.

Source: AmplifAI, Customer Service Statistics 2026

~1 in 5

consumers who used AI customer service report 0 benefit from the experience.

Source: Qualtrics XM Institute, 2026 Consumer Experience Trends Report 

Only 14%

of self-service interactions fully resolve the customer's issue.

Source: Gartner

The data is clear: if you don't know what is happening with your agentic bots, it is costing you. 

BEYOND TRADITIONAL BOT AUDITING 

Six questions AI Contact Explorer answers about your agentic AI bots

Traditional QA samples a handful of calls a month. ACE reads 100% of interactions and turns them into answers your team can act on today.

Graph of call results from Ai Contact Explorer from USAN

 

INTENT PERFORMANCE

Which intents are your bots handling well?

Monitor critical customer intents in self-service
Increase call containment
Improve CSAT

Graph tracking agents and latency from AI Contact Explorer

RESPONSE SPEED

Are your agentic AI bots fast and responsive? 

Find and correct latency in responses
Fix sluggish integrations 
Improve CSAT

Graph tracking agents and latency from AI Contact Explorer
Track turns and bot failures in AI contact explorer from USAN

FAILURE POINTS

Where do bots fail and transfer to live agents?

Tune problematic turns 
Pinpoint negative experiences 
Find business process gaps

Easily track sentiment over time in AI Contact Explorer from USAN

EXPERIENCE OVER TIME 

Are bots improving customer experience?

Are bots improving customer experience?
Improve CSAT by monitoring sentiment
Track CSAT across new bot versions 

Easily track sentiment over time in AI Contact Explorer from USAN
See bot hallucinations in AI Contact Explorer

HALLUCINATION DETECTION 

How can I detect hallucinations in agentic AI bots and monitor performance after new releases?

Monitor 100% of interactions against business rules
Deploy corrections and track performance release over release 
Compare results across LLM, speech, and text models

See bot issues and priority in AI Contact Explorer

ISSUE PRIORITIZATION

How do you prioritize what bots get wrong?

Log issues by severity 
Assign issues to business, IT, or USAN's AI experts
Fix what's driving negative experiences

See bot issues and priority in AI Contact Explorer
 
Analyze

Analyze every agentic voice and digital conversation

Detect

Detect issues and hallucinations

Prioritize

Rank issues by severity and business impact

Improve

Tune and improve your bots

Validate

Release new versions and monitor results

AI Contact
Explorer

HOW IT WORKS

Continuously improve your agentic AI customer experience bots

ACE isn't a one-time audit — it's a continuous loop. Every conversation feeds the next release, so your customer experience bots get measurably better each time you ship.

Higher resolutions & containment

Lower escalations & transfers

Fewer hallucinations

 Higher CSAT & better outcomes

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Ready to gain oversight into your agentic AI bots and start designing bots that will actually resolve customer inquiries? 

Schedule time with our CX experts today to get started now.