Traditional quality assurance is broken. Most contact centers review less than 2% of calls. The other 98%? Completely unmonitored. Coaching happens weeks after issues occur, if at all. Compliance violations slip through undetected. Top performers go unrecognized while struggling agents never get the help they need.
Mihu AI QA & Coaching Agents change the game. Every conversation — voice calls, messages, emails — gets analyzed automatically in real time. Intelligent scoring, instant coaching recommendations, and complete compliance monitoring. No more random sampling. No more delayed feedback.
Three Pillars of Intelligent QA
Mihu AI's approach to quality assurance rests on three interconnected capabilities: automated quality scoring, personalized coaching, and actionable analytics. Together, they create a continuous improvement loop that elevates entire teams.
Automated Scoring
Every conversation evaluated against customizable scorecards. Consistent, objective, and instant.
Smart Coaching
Personalized recommendations for each agent based on their specific improvement areas.
Deep Analytics
Insights that reveal patterns, trends, and opportunities across the entire operation.
What Gets Measured
QA agents evaluate conversations across multiple dimensions simultaneously, providing a complete picture of interaction quality rather than surface-level metrics.
Communication Quality
Tone, clarity, empathy, and professionalism. Did the agent connect with the customer?
Process Adherence
Did the agent follow required scripts, procedures, and workflows correctly?
Problem Resolution
Was the customer's issue resolved? First contact resolution tracking.
Compliance & Legal
Required disclosures, prohibited phrases, regulatory requirements met.
Upsell & Cross-sell
Relevant offers made appropriately. Sales opportunities identified and acted on.
Efficiency Metrics
Handle time, dead air, hold time — operational efficiency indicators.
Customizable Scorecards
Build scorecards that match exact business requirements. Weight criteria differently, set auto-fail conditions for critical compliance issues, and create role-specific evaluations for sales vs. support teams.
Real-Time Scorecard Preview
Here's what a typical automated scorecard looks like — generated within seconds of call completion:
Sample Call Scorecard
How It Works
Conversation Captured
Every call, chat, or email is automatically transcribed and processed. Voice calls get full transcription with speaker separation and sentiment analysis.
Intelligent Analysis
The QA agent evaluates the conversation against configured scorecards, checking for compliance triggers, quality markers, and coaching opportunities.
Scorecard Generated
Within 60 seconds of call completion, a detailed scorecard is available — complete with scores, timestamps, and specific examples from the conversation.
Coaching Triggered
Low scores or compliance failures automatically trigger coaching workflows. Supervisors get alerts, agents receive personalized feedback with example clips.
Continuous Improvement
Analytics dashboards track improvement over time. Identify top performers, surface systemic issues, and measure the impact of training programs.
Use Cases by Industry
Contact Centers
Scale QA without scaling headcount. Move from 2% sampling to 100% coverage while reducing QA team costs by 40% or more.
Sales Teams
Identify what top performers do differently. Replicate winning behaviors across the team with targeted coaching programs.
Customer Support
Track first-contact resolution, customer satisfaction drivers, and agent empathy. Build a support team customers love.
Regulated Industries
Financial services, healthcare, insurance — ensure 100% compliance with required disclosures and prohibited practices.
Agent-Friendly Feedback
QA shouldn't feel punitive. Mihu AI coaching focuses on growth, not gotchas. Agents see their progress over time, celebrate wins, and get actionable suggestions for improvement — not just criticism.
Getting Started
Setting up automated QA takes about 30 minutes. In the Mihu AI dashboard, navigate to QA & Coaching → Scorecards to build evaluation criteria. Start with templates for common use cases (customer service, sales, compliance) or build custom scorecards from scratch.
Once scorecards are configured, every new conversation is automatically evaluated. Historical calls can be batch-processed for baseline analysis. The system learns from feedback and calibration sessions to improve accuracy over time.
What's Next
Coming soon: real-time coaching during live calls. QA agents will be able to surface suggestions to agents mid-conversation — prompting compliance disclosures, suggesting empathy phrases, or recommending solutions based on similar resolved issues.