Kansi.AI
Kansi.AI
Kansi.AI
AI/ML for Operations | Added Feature Inside CRM
AI/ML for Operations | Added Feature Inside CRM
AI/ML for Operations | Added Feature Inside CRM
Year
Year
Year
2025
2025
2025
Duration
Duration
Duration
1 week
1 week
1 week
Overview
Overview
Overview
Kansi.ai helps QA teams evaluate call quality faster and more accurately by automatically transcribing calls, summarizing conversations, and extracting key product details. I worked on designing the flow and UI for how agents and QA specialists interact with these AI-generated insights.
Kansi.ai helps QA teams evaluate call quality faster and more accurately by automatically transcribing calls, summarizing conversations, and extracting key product details. I worked on designing the flow and UI for how agents and QA specialists interact with these AI-generated insights.
Kansi.ai helps QA teams evaluate call quality faster and more accurately by automatically transcribing calls, summarizing conversations, and extracting key product details. I worked on designing the flow and UI for how agents and QA specialists interact with these AI-generated insights.
Pain Points
Pain Points
Pain Points
Manual call listening takes too long
Agents misinterpret QA scores
QA auditors have inconsistent evaluations
No quick way to get product or call context
Manual call listening takes too long
Agents misinterpret QA scores
QA auditors have inconsistent evaluations
No quick way to get product or call context
Manual call listening takes too long
Agents misinterpret QA scores
QA auditors have inconsistent evaluations
No quick way to get product or call context
Goals
Goals
Goals
Speed up QA evaluation
Standardize call scoring
Reduce manual listening time
Provide instant insights (summary, product context, sentiment)
Speed up QA evaluation
Standardize call scoring
Reduce manual listening time
Provide instant insights (summary, product context, sentiment)
Speed up QA evaluation
Standardize call scoring
Reduce manual listening time
Provide instant insights (summary, product context, sentiment)
Key Design Achievements
Key Design Achievements
Key Design Achievements
Faster QA Reviews
Faster QA Reviews
Faster QA Reviews
Reduced QA review time through automated transcription and summaries.
Reduced QA review time through automated transcription and summaries.
Reduced QA review time through automated transcription and summaries.
Consistent Evaluations
Consistent Evaluations
Consistent Evaluations
Improved scoring consistency with standardized AI insights.
Improved scoring consistency with standardized AI insights.
Improved scoring consistency with standardized AI insights.
Enhanced Agent Coaching
Enhanced Agent Coaching
Enhanced agent coaching by giving team leads clearer, more actionable call breakdowns.
Enhanced agent coaching by giving team leads clearer, more actionable call breakdowns.
Enhanced agent coaching by giving team leads clearer, more actionable call breakdowns.
UX Flow
This flow reduces the steps QA teams perform manually.
FEATURE BREAKDOWN
FEATURE BREAKDOWN
FEATURE BREAKDOWN
AI-POWERED CALL ANALYSIS
AI-POWERED CALL ANALYSIS
AI-POWERED CALL ANALYSIS
Auto Summary • Transcription • Product Detection
Auto Summary • Transcription • Product Detection
Auto Summary • Transcription • Product Detection
Instant insights from every customer call—transcribed, summarized, and organized for faster, more consistent QA review.
Instant insights from every customer call—transcribed, summarized, and organized for faster, more consistent QA review.
Instant insights from every customer call—transcribed, summarized, and organized for faster, more consistent QA review.
AI Transcription Panel
AI Transcription Panel
AI Transcription Panel
The system transcribes the entire call and displays spoken segments in an easy-to-read, structured format. I focused on readability and reducing cognitive load for analysts.
The system transcribes the entire call and displays spoken segments in an easy-to-read, structured format. I focused on readability and reducing cognitive load for analysts.
The system transcribes the entire call and displays spoken segments in an easy-to-read, structured format. I focused on readability and reducing cognitive load for analysts.
AI Call Summary
AI Call Summary
AI Call Summary
The summary gives analysts an instant understanding of the conversation, removing the need to replay the call. The structure is short, factual, and supports fast decision-making.
The summary gives analysts an instant understanding of the conversation, removing the need to replay the call. The structure is short, factual, and supports fast decision-making.
The summary gives analysts an instant understanding of the conversation, removing the need to replay the call. The structure is short, factual, and supports fast decision-making.
Sentiment Analysis
Sentiment Analysis
Sentiment Analysis
AI detects the emotional tone of the conversation and highlights how the customer felt throughout the call, helping QA teams evaluate communication quality and agent empathy.
AI detects the emotional tone of the conversation and highlights how the customer felt throughout the call, helping QA teams evaluate communication quality and agent empathy.
AI detects the emotional tone of the conversation and highlights how the customer felt throughout the call, helping QA teams evaluate communication quality and agent empathy.
Thanks for Reading!
Thanks for Reading!
Thanks for Reading!
Check out more of my projects, or get in touch to see how I can help bring your ideas to life!
Check out more of my projects, or get in touch to see how I can help bring your ideas to life!
Check out more of my projects, or get in touch to see how I can help bring your ideas to life!