AI Recommendations
From Conversation Clarity — Automatically.

AI Recommendations is Glassix’s intelligence engine that continuously learns from every interaction to surface trends, blind spots, and next-best actions across customers, agents, and knowledge.It doesn’t just analyze what happened. It shows you what to do next.
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The Problem:
Valuable Insight Is
Buried in Conversations

Contact centers generate thousands of conversations every day.

Inside them are:

Early signals of emerging issues
Repeated questions that indicate confusion
Great agent responses that never make it into knowledge
Quality gaps no dashboard will show

Most of this insight is:

Discovered too late
Reviewed manually
Lost entirely
By the time teams notice a problem, customers already felt it.

AI That Learns                        From Every Interaction

AI Recommendations continuously analyzes all conversations - voice and messaging to extract what matters most.
Using AI, Glassix automatically:
Identifies recurring themes and topics
Detects spikes in volume or urgency
Surfaces emerging trends in real time
Flags blind spots before they escalate

Automatic Topic       Clustering (At Scale)

Glassix groups conversations into dynamic topic clusters without predefined rules.
Glassix AI continuously interprets:
What customers are talking about most
Which topics are trending or spiking
Where demand or friction is increasing
Recommends which issues require immediate attention
When something starts to break, you know it early while there’s still time to act.

See how AI Recommendations surface trends, improve quality, and turn everyday interactions into actionable insight - automatically.

Experience AI that understands context, intent, and meaning - better than a human would.
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Be Proactive,                               Not Reactive

AI Recommendations enables proactive CX.
Detect issues as they emerge and not after complaints spike
Identify product, policy, or process gaps
Trigger corrective actions earlier
Recommends which friction points should be addressed in priority
Reduce inbound volume by addressing root causes
This is how operations move from firefighting to foresight.

Real-Time Agent Recommendations

(Not Just From the Knowledge Base)
AI Recommendations dynamically suggests responses to agents in real time based on what other agents are successfully saying.

Even if:

  • The response isn’t in the knowledge base yet
  • The scenario is new
  • The question hasn’t been formally documented

Agents benefit immediately from collective intelligence.

From Agent Insight to
Organizational Knowledge

Great responses shouldn’t stay trapped in individual conversations.
Glassix AI:
Identifies responses that perform well repeatedly
Recommends them to knowledge moderators
Suggests what should be promoted into official knowledge
Without context understanding, autonomy fails.
With it, AI performs consistently - at scale.

Real-World Examples That Actually Matter

E-commerce
AI detects a spike in conversations around delivery delays. Teams proactively update messaging and automate responses before volume explodes.
Financial Services
Repeated agent responses to a new regulation are identified and promoted into official knowledge within hours - not weeks.
Contact Center Operations

AI flags that similar issues are resolved differently by different agents which highlighting training and consistency gaps.

Built for Continuous Improvement

As conversations change, recommendations evolve.
Topic clusters adapt automatically
Agent suggestions improve over time
Knowledge stays current
CX gaps shrink continuously
Improvement becomes built-in, not occasional.

Understanding is What Makes

Autonomy Possible

See how Human-Aware AI enables better-than-human customer experiences at scale.
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