AmplifAI Max AI Coaching Practice Partner for Your Agents
Max AI Coach builds a practice session from an agent's last 100 evaluated interactions, showing how a high performer handles them, role-playing the conversation live, scoring the practice run with evidence from their own words. Your team leaders coach sessions changing careers, while Max drills tactical reps between customer interactions.
Max AI Coach opens each practice session with an agent's last 100 evaluated interactions and Auto QA scores against team and top-performer benchmarks, landing on one finding that explains their performance gap, like a denial reason quoted before any empathy statement in 63 of 100 calls.
Cohort strips show which calls, date range, and QA form built the session.
End-of-call sentiment and repeat-call rate from customer analytics sit next to Auto QA scores.
Strengths appear alongside gaps, with sessions reading fair and earning agent trust.
Agent's Hear Their Call Next to a High Performer's
Max plays short clips from the agent's customer conversations side by side with the matched moment from a high performer's call, the agent hears the difference in real dialogue, not a description on a form.
Clips carry their source call, QA dimension score, and end sentiment.
High-performer exemplars come from a browsable library of your organization's best conversations.
Two or three moments per session keep the focus on the behaviors that move the metric.
Agents Get to Rehearse Hard Conversations Before They Count
Max plays the customer in a live voice role-play built on the exact scenario the evidence surfaced, staying in character through the whole conversation, the agent gets a rep between customer interactions without a live customer on the line.
Voice-based role-play runs from the agent's dashboard in the minutes between interactions.
Max holds the customer persona through off-script turns, confusion, and meta questions.
Resolving the customer's issue earns a natural close, matching how real conversations end.
Max scores the practice run against anchored rubrics and backs the marks with verbatim quotes from the agent's turns, a strong run earns credit it can prove and a rushed run gets called out honestly.
Effort gating separates a full attempt from a breeze-through, with capped scores and a redo invitation.
Evidence quotes under each rubric dimension show the exact line that earned the score.
Debrief results feed the next person-to-person coaching session with the agent's progress already mapped.
Max Lives on Dashboards Agents and Leaders Already Use
Max AI Coach greets agents on their dashboard with a plain-language read of how today is going and one behavior to work on, answers questions about their metrics in an interactive chat, and shows team leaders which agents are practicing and improving.
Daily briefings translate the morning's metrics into one focused suggestion per agent.
Interactive chat answers an agent's questions from their own performance data.
Team-leader views show practice activity, completions, and runs worth a human follow-up.
Max AI Coaching and Full AmplifAI Platform Capabilities
Max AI Coach brings agent practice sessions, live voice role-play, and evidence-scored debriefs to an end-to-end contact center AI system, with AI-enabled coaching, automated QA, customer intelligence, performance management, and gamification running on one unified data layer.
AmplifAI Max AI Coaching Software Features and Full Platform Capabilities
AmplifAI Platform CapabilitiesComprehensive feature set powering next-generation contact center performance
81 features across 7 integrated capability areas powering next-generation contact center performance
Data Integration Features
How It Works
AmplifAI
Agnostic Data Integration
Connects to 150+ cloud APIs, on-premise systems, homegrown apps, and spreadsheets to unify all contact center data sources.
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Organization and Roster Sync
Maps and updates the full organizational hierarchy so every role receives actions and insights relevant to their position.
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Metric and Behaviors Sync
Links metrics to associated behaviors, creating a unified framework for standardized reporting and AI-driven action recommendations.
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Flexible Scorecard Management
Provides weighted, live scorecards for agent and leader performance that adapt to evolving business priorities.
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AI-Ready Implementation
Dedicated customer success team maps organizational needs into a unified, action-ready platform during onboarding.
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Post-Implementation Dedicated Customer Success
Veteran CX leaders maintain active account relationships to keep data, strategy, and platform configuration current.
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Flexible Quality Form Management
Supports multiple custom quality forms with tailored scoring frameworks across teams, roles, channels, and lines of business.
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On-Premise System Support
Integrates with behind-the-firewall deployments for performance management, quality workflows, and AI coaching without compromising data control.
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Contact Center AI Features
How It Works
AmplifAI
Next Best Action AI
Patented AI identifies the most effective coaching, recognition, or follow-up action for each person based on performance gaps and business priorities.
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High Performer Persona Modeling
Builds profiles from top performer behaviors and outcomes, then identifies gaps across the team to replicate what works.
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Gen AI Recognition
Generates personalized, context-aware recognition messages based on performance improvements and behavioral milestones.
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AI Coaching Plans and Summaries
Produces AI-driven coaching game plans and auto-summarized session notes to improve focus, preparation, and follow-through.
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Quality Co-Pilot and Auto QA
Combines automated QA scoring, quality-driven coaching triggers, and QA-based recognition into a continuous feedback loop.
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AI Training, Predictive Goals & More
Upskills new hires with simulated customer conversations, sets realistic targets with predictive goal modeling, and extends AI across additional workflows.
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Customer Intelligence Features
How It Works
AmplifAI
Single Pane for Managing People, Chatbots, and AI Agents
Manages performance and behavior across live agents, chatbots, and AI agents in one unified view with consistent action capabilities.
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Customer Intent and Call Reason Analysis
Analyzes contact patterns and root causes by product, policy, or process to identify and resolve issues at scale.
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Predictive NPS
Forecasts NPS scores based on behavior, sentiment, and call outcomes before surveys are completed.
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Survey Commentary Analysis
Converts open-text survey feedback into structured insights, detecting themes and root causes behind detractor comments.
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Ask Your Transcripts: Unscripted Q&A
Natural language interface for querying call transcripts, QA data, and CX metrics to get answers on demand.
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Sentiment and Root Cause Analysis
Tracks shifts in customer and agent sentiment, then connects them to the underlying causes of poor experiences.
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Compliance Monitoring
Detects compliance misses and risky behaviors across calls, chats, and transcripts automatically.
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Customer Journey Insights
Connects survey data, call reasons, and repeat contact patterns to identify where friction occurs and which journeys lead to escalations or satisfaction.
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Unified Intelligence Layer
Combines structured and unstructured data from QA, CRM, CCaaS, surveys, and chat into a single source of truth for performance, quality, and CX.
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AI-Powered Next Best Actions
Analyzes performance, QA, and CX data to recommend the next coaching, recognition, or follow-up action for leaders and frontline teams.
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Survey-to-Performance Correlation
Ties NPS, CSAT, and survey comments directly to agent behaviors, call reasons, and QA scores.
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CX Trend Detection and Alerts
Continuously scans CX and operational data for emerging trends, triggering alerts for sentiment drops, rising call reasons, or compliance changes.
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Conversational Intelligence
Analyzes every conversation across voice, chat, and messaging to surface key themes, behaviors, and signals for coaching and CX improvement.
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Customer Insights and Analytics
Connects survey feedback, call reasons, sentiment, and resolution data to identify what drives satisfaction or friction.
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Automated QA/QM Features
How It Works
AmplifAI
Auto QA for Scaled Efficiency
Analyzes every customer interaction, auto-scoring routine contacts and flagging complex ones for human review.
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Customizable QA Reporting
Filters quality insights by person, evaluator, score, question, and more to surface the data that matters most.
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Quality-Driven Coaching
Creates a feedback loop where quality data like auto-fails and low scores trigger targeted coaching for frontline teams.
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Multiple Custom Evaluation Forms
Deploys multiple evaluation forms matched to different teams, roles, and channels, from support to sales to BPOs.
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Customer Journey Insights
Connects survey data, call reasons, and repeat contact patterns to uncover where friction occurs and why.
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Calibration Workflows
Achieves consistency and accuracy in grading, eliminating subjective evaluations and ensuring fair agent feedback and correct Auto QA scores.
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Auto-Fail Triggers for Coaching
Flags critical QA misses automatically and triggers coaching actions, connecting auto-fails to next best actions for timely agent support.
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Auto QA Coaching Workflow
Converts QA results into real-time coaching opportunities automatically and at scale.
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QA-Driven Recognition
Extends the feedback loop to high scores and standout interactions with targeted recognition for praiseworthy achievements.
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Compliance Monitoring
Detects compliance misses and risky behaviors across calls, chats, and transcripts without requiring manual review of every interaction.
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360-Degree Performance Insights
Connects quality scores, CRM data, call transcripts, and more for a complete picture of what drives contact center success.
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Unified Intelligence Layer
Brings structured and unstructured data together from QA, CRM, CCaaS, surveys, and chat into a single source of truth.
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CX Trend Detection and Alerts
Scans CX and operational data for emerging trends, triggering alerts for sentiment drops, rising call reasons, or compliance changes.
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Conversational Intelligence
Analyzes conversations across voice, chat, and messaging to surface themes, behaviors, and signals for QA and coaching.
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Customer Insights and Analytics
Connects survey feedback, call reasons, sentiment, and resolution data to uncover satisfaction and friction drivers.
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Performance Management Features
How It Works
AmplifAI
Unified Performance Data
Brings together structured and unstructured data from QA, WFM, CRM, CCaaS, surveys, and more into one system.
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Role-Based Views
Automatically personalizes dashboards by role so each person sees the metrics most relevant to their position, from agents to directors.
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Next Best Action
AI recommends the right coaching, recognition, or follow-up for the right person at the right time based on performance gaps and business priorities.
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AI-Enabled Coaching Integration
Identifies and recommends the most valuable coaching opportunity for each agent using AI-driven performance insights.
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Glidepath and Tenure-Based Goals
Adapts goals based on tenure, ramp stage, or program benchmarks so new hires and veterans are measured and managed with appropriate expectations.
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AI-Enabled Recognition
Detects milestones and progress automatically, prompting leaders to deliver recognition with relevant performance context.
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BPO Performance Management
Tracks and compares performance across internal teams and BPO partners in one system, maintaining brand standards regardless of who handles the work.
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AI Channel Management
Measures and improves automated support channels like chatbots alongside live teams, applying the same quality and performance standards across human and digital.
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Automated QM Workflow
Connects quality insights to performance actions automatically, triggering coaching, recognition, or follow-up based on quality scores and CX trends.
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Peer Comparisons and Percentile Ranking
Shows how each agent, team, or vendor stacks up within their program or across the org to identify top performers, outliers, and coaching opportunities.
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High Performer Personas
Learns from top performers and builds profiles of what "great" looks like to close gaps and replicate successful behaviors across the team.
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Flexible Scorecards
Adjusts scorecard weights based on evolving business goals, using strategy priorities to guide actions and keep everyone aligned.
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Task Management and Custom Tasks
Assigns, tracks, and completes performance-related tasks, both system-generated and manually created, keeping managers organized and accountable.
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Intraday Performance Tracking
Tracks live performance throughout the day to spot trends in real time and intervene early with targeted support before issues escalate.
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Historical Trends and Insights
Shows how performance changes over time by metric, person, team, or partner, using past trends to predict future needs and refine strategies.
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AI-Enabled Coaching Features
How It Works
AmplifAI
AI-Driven Next Best Coaching Actions
Pinpoints the most valuable coaching opportunity for each agent using AI-powered performance insights.
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Automated Follow-up and Recognition Workflows
Triggers coaching reminders and delivers recognition automatically based on KPI movement and coaching activity.
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Coaching Effectiveness Scores
Tracks how each coach impacts agent performance over time to measure and improve coaching outcomes.
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AI Notes and Summaries
Generates auto-summarized notes from coaching conversations and evaluations to reduce documentation time.
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Custom Coaching Forms
Standardized forms aligned to key metrics, behaviors, and goals across teams.
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Coach the Coach Actions
Surfaces opportunities to support team leaders with personalized guidance on improving their coaching quality.
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Coaching Histories and Commitment Visibility
Displays a complete timeline of every coaching action, commitment, and follow-up for every agent with active commitment tracking.
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Behavior-Based Coaching
Targets behaviors tied to performance outcomes, not just metrics, to drive skill development.
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Smart Coaching Goals
Sets coaching commitments based on past performance trends and peer benchmarks for every KPI.
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Multi-Metric Coaching
Builds sessions around multiple KPIs to reflect the full scope of agent performance and drive balanced improvement.
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AutoQA Coaching Workflow
Converts QA results into real-time coaching opportunities automatically and at scale.
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Data Agnostic Coaching Workflow
Runs coaching workflows regardless of where structured and unstructured data lives, with no vendor lock-in.
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Behavior and Coaching Best Practices from CX Experts
Incorporates proven frontline practices and guidance from top contact center leaders directly into coaching workflows.
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Gamification & Engagement Features
How It Works
AmplifAI
Gen AI Recognition
Delivers real-time, personalized recognition based on performance improvements, behavioral milestones, and system activity.
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Automated Recognition and Coaching Workflow
Triggers recognition automatically when agents meet post-coaching commitments, aligned to tracked KPIs and behaviors.
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Data Powered Games
Launches intelligent contests powered by performance data, tailored by KPI, tenure, skill level, or timeframe.
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Real-Time Leaderboards
Tracks progress live with visual rankings that drive competition and team focus.
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Incentive Tracker and Calculator
Displays real-time progress toward bonuses and forecasts earnings based on performance improvements across tracked goals.
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Rewards and Incentive Management Integrations
Connects existing rewards tools and aligns incentives with quality, performance, and coaching activities.
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Avatars and Badges
Rewards effort and engagement with customizable avatars, badges, and non-monetary awards showcasing individual achievements.
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Peer-Performance Comparison
Compares KPIs against peers, programs, and top performers to identify improvement opportunities.
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In-Game Social Activity
Enables comments, reactions, and social callouts within active contests and games to celebrate wins and build camaraderie.
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Performance-Based Participation
Groups participants by performance tiers for fairer competition, giving every cohort a chance to win and advance.
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AmplifAI Guided Demo
See AmplifAI Max AI Coach in Action
Walk through how AmplifAI governs AI agents from multiple vendors, connects human and AI performance data, and turns quality insights into CX improvement actions across your entire contact center.
Answers for coaching and CX leaders evaluating AmplifAI's Max AI Coaching.
Is Max AI Coach Secure and Compliant With AmplifAI Standards?
Yes, Max runs on the same AmplifAI platform controls: SOC 2 Type II compliance, encryption in transit and at rest, and role-based access across coaching, performance, and quality data. For full details, visit the AmplifAI Trust and Compliance page.
Can Team Leaders See Max Practice Results in AmplifAI?
Yes, team leaders see practice activity, debrief scorecards, and progress trends on their AmplifAI dashboard, next to the coaching histories and Coaching Effectiveness Scores (CEfx) they already use. Max flags the practice runs worth a human follow-up, leaders spend their sessions where practice showed the agent needs a coach.
How Does Max AI Coach Score Practice Sessions in AmplifAI?
Max AI Coach scores each rubric dimension against anchored examples of what strong and weak look like on the session's call type, requires a verbatim quote from the agent's practice turns for any high score, and gates scores on effort, with a one-word run-through scoring near zero and a full attempt earning fair, evidenced marks.
Is Max Ai Coach Available in AmplifAI Today?
Yes, Max is rolling out across AmplifAI customers now, with agent and team-leader dashboard widgets arriving first and guided practice sessions following as the rollout expands. Talk to your AmplifAI customer success team to get started with Max.
What Data Does Max AI Coach Use From AmplifAI?
Max AI Coach builds sessions from the agent's evaluated interactions in AmplifAI, including Auto QA form scores, conversation analytics, end-of-call sentiment, CSAT, and repeat-call signals. Claims in a briefing trace to scored calls, and exemplars come from recorded high-performer conversations in your organization
Does Max AI Coach Replace Human Coaches For AmplifAI Customers?
Person-to-person coaching stays the center of the AmplifAI coaching model, while Max handles the tactical practice reps coaches don't have time to run, including debriefs for your coaches with a mapped starting point, keeping coaching time on coaching, not planning.
Talk to AmplifAI
Give your agents a practice partner, with AmplifAI
See Max AI Coach build a practice session from evaluated calls, and bring Max to your team.
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