Main / Use Cases

Use Cases Averas

Averas demonstrates leadership in customer experience optimization, helping companies overcome challenges and increase efficiency.

What the company has insight into with Averas

40%

Reduction in ticket volume

80%

Of inaccurate responses

Maximize ROI on AI

40%

Reduction in ticket volume

80%

Of inaccurate responses

Maximize ROI on AI

Take advantage of our experience

to get real value out
of your AI and self service initiatives

Incomplete FAQs, agent overload, and low CSAT are slowing down CX. Averas AI eliminates gaps, reduces tickets by 40%, and improves self-service

1.Support Prioritization Gaps

Support teams cannot prioritize what to fix or automate, leading to inefficiency.

Solution

Surfaces top contact drivers, tracks performance, and highlights self-service opportunities.

Outcomes

Fewer tickets, faster resolutions, and more efficient agents.

2.Lack of Operational Insight

Ops teams lack the data to staff and train effectively.

Solution

Provides data for automation potential, forecast accuracy, and KB-driven training.

Outcomes

Smarter staffing, reduced costs, and optimized agent workflows.

3.Misaligned CX Planning

Product teams lack insight into customer pain points and usage patterns.

Solution

Highlights high-volume issues and intent gaps to influence roadmap priorities.

Outcomes

Higher CSAT/NPS and stronger alignment with customer expectations.

4.Unproven CX Investment

Support leaders and AI teams cannot prove ROI on content initiatives or GenAI tools.

Solution

Delivers insight-driven CX metrics to guide investment and loyalty efforts.

Outcomes

Stronger loyalty and clearer justification for CX investments.

5.Lack of Visibility into Content Gaps

Content teams do not know which articles are failing or need updates.

Solution

Scores KB quality, flags issues, and provides update suggestions tied to customer intents.

Outcomes

Improved content quality and scalable knowledge for AI and agents.

6.AI Tools Fail to Deliver

Inconsistent AI & Automation AI and self service tools underperform due to weak or misaligned knowledge.

Solution

Aligns chatbot intents with real language and validates knowledge quality for AI-readiness.

Outcomes

Increased containment, better bot performance, and reduced escalations.

These capabilities
help answer the key question

Is our content good enough to support AI, self-service and our agents at scale?

Schedule a demo to see how Averas can help you lead in the knowledge-driven CX era.

Main / Use Cases

Use Cases Averas

Averas demonstrates leadership in customer experience optimization, helping companies overcome challenges and increase efficiency.

What the company has insight into with Averas

40%

Reduction in ticket volume

80%

Of inaccurate responses

Maximize ROI on AI

40%

Reduction in ticket volume

80%

Of inaccurate responses

Maximize ROI on AI

Take advantage of our experience

Incomplete FAQs, agent overload, and low CSAT are slowing down CX. Averas AI eliminates gaps, reduces tickets by 40%, and improves self-service

1.Support Prioritization Gaps

Support teams cannot prioritize what to fix or automate, leading to inefficiency.

Solution

Surfaces top contact drivers, tracks performance, and highlights self-service opportunities.

Outcomes

Fewer tickets, faster resolutions, and more efficient agents.

2.Lack of Operational Insight

Ops teams lack the data to staff and train effectively.

Solution

Provides data for automation potential, forecast accuracy, and KB-driven training.

Outcomes

Smarter staffing, reduced costs, and optimized agent workflows.

3.Misaligned CX Planning

Product teams lack insight into customer pain points and usage patterns.

Solution

Highlights high-volume issues and intent gaps to influence roadmap priorities.

Outcomes

Higher CSAT/NPS and stronger alignment with customer expectations.

4.Unproven CX Investment

Support leaders and AI teams cannot prove ROI on content initiatives or GenAI tools.

Solution

Delivers insight-driven CX metrics to guide investment and loyalty efforts.

Outcomes

Stronger loyalty and clearer justification for CX investments.

5.Lack of Visibility into Content Gaps

Content teams do not know which articles are failing or need updates.

Solution

Scores KB quality, flags issues, and provides update suggestions tied to customer intents.

Outcomes

Improved content quality and scalable knowledge for AI and agents.

6.AI Tools Fail to Deliver

Inconsistent AI & Automation AI and self service tools underperform due to weak or misaligned knowledge.

Solution

Aligns chatbot intents with real language and validates knowledge quality for AI-readiness.

Outcomes

Increased containment, better bot performance, and reduced escalations.

These capabilities help answer the key question

Is our content good enough to support AI, self-service and our agents at scale?

Schedule a demo to see how Averas can help you lead in the knowledge-driven CX era.

Schedule a demo to see how Averas can help you lead in the knowledge-driven CX era.

Location

New York, NY 10013

Contact

info@averas.ai

201-336-4707

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These capabilities
help answer the key question