Recognize the Right Agent at the Right Moment, With the Data Behind It
AmplifAI detects the moment an agent improves after coaching, hits a personal best, or clears a milestone, then prompts the right leader to recognize it with the exact QA scores, KPIs, and coaching commitments behind the win. Recognition stops depending on which names a supervisor remembers at the end of a shift, so A-players and up-and-comers both get acknowledged while the moment still counts.
AmplifAI Is Trusted by Top Enterprises, BPOs, and CX Teams
Recognition Challenges
Most Recognition Programs Run on Memory, Not Data
Recognition in most contact centers depends on which wins a supervisor happens to notice and remember, leaving the agents who improve quietly, the steady mid-tier, and the remote teams off-camera unacknowledged.
Top Performers Overlooked Until They Leave
Agents who clear targets without needing coaching drop off the leader's radar, so the people most worth keeping go unrecognized until a resignation makes the gap obvious.
Coaching That Only Flags What's Broken
Improvement plans open with the deficit and end there, so the session spends its time on what went wrong and never reinforces the behavior worth repeating, training agents to brace for coaching instead of build on it.
Recognition That Depends on a Manager's Memory
Recognition waits on a supervisor recalling who did what across hundreds of interactions a week, so it lands late, lands unevenly, or never lands at all.
Generic Praise That Reinforces Nothing
A blanket good job names no metric, behavior, or moment, leaving the agent unsure what to repeat and stripping recognition of any tie to performance.
Remote Agents Celebrated Last, If at All
Recognition built around the people a leader sees on the floor skips the remote and hybrid agents who never share a room, widening the gap in how seen each team feels.
AmplifAI Recognition Use Cases
Recognition Built Into the Performance Loop, Not Bolted On
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Coach the Wins, Not Just the Gaps
AmplifAI recommends a recognition action next to every coaching action, drawn from the behaviors an agent already performs well, so a leader walking into an improvement conversation reinforces what is working instead of opening with the deficit and ending there.
AmplifAI surfaces a recognition Next Best Action beside each coaching recommendation, built from the agent's own successful past performance.
High-performer persona modeling flags the proven behaviors worth reinforcing, giving leaders a standard to coach toward rather than only a miss to correct.
Recognition fires automatically the moment an agent meets a post-coaching commitment, tying the win back to the plan that produced it.
Turn Performance Data Into Specific, Personalized Recognition
AmplifAI writes personalized recognition messages from each agent's actual results, naming the metric, the behavior, and the moment, so leaders send acknowledgment that points to something real instead of a blanket good job.
Gen AI Recognition drafts a tailored message for each agent from their performance improvements and behavioral milestones.
Leaders receive the context behind every prompt, including the QA score, KPI, or coaching win that earned it.
Each message names the specific behavior to repeat, connecting recognition directly to the work that drove it.
Trigger Recognition the Moment It's Earned, at Scale
AmplifAI triggers recognition automatically on KPI movement, quality wins, and milestones across the whole floor, so timely acknowledgment no longer depends on a supervisor remembering who did what across a week of interactions.
Automated workflows deliver recognition the moment KPI movement or a met commitment qualifies an agent for it.
QA-Driven Recognition extends the quality loop to high scores and wow-interactions, catching praiseworthy calls a manual review would miss.
Recognition runs across every team and shift at once, keeping acknowledgment consistent regardless of headcount.
AmplifAI puts recognition where the team can see it through shoutouts, badges, and a shared celebration board, so wins reach the remote and hybrid agents who never share a room with the rest of the floor.
High Five lets any designated leader send recognition and kudos directly to an employee in the moment.
Avatars, badges, and non-monetary awards give effort a visible, lasting marker beyond a single message.
In-game callouts and a celebration board broadcast wins to peers, building camaraderie across distributed teams.
AmplifAI surfaces progress as well as position, flagging the agent who improved quietly and the steady mid-tier performer, so recognition reaches the A-players and up-and-comers a top-ten leaderboard leaves out.
AI-Enabled Recognition detects milestones and forward progress, not just absolute rank, so improvement gets seen on its own merit.
Performance-based cohorts give every tier a fair shot at recognition instead of concentrating it at the top.
Leaders get prompts to acknowledge consistency and momentum, the contributions a raw leaderboard renders invisible.
Recognition That Makes Top-Performer Behavior Stick
AmplifAI ties recognition to the same data that drives coaching and quality, so acknowledgment reinforces the behaviors worth repeating and keeps the people worth keeping. A global BPO used that loop to replicate its top performers at scale, and a global healthcare BPO paired it with a 12% retention improvement.
Coaching changes behavior; recognition makes it stick.
Global BPO that replicated its top performers with AmplifAI
FROM THE CASE STUDY
12% retention, $1.5M saved
Global Healthcare BPO, recognition built into the operating model
AmplifAI Recognition Capabilities
AmplifAI Recognition Features and Full Platform Capabilities
AmplifAI delivers Gen AI recognition, automated recognition and coaching workflows, QA-driven recognition, and peer and social engagement as part of an end-to-end contact center AI system spanning 81 features across seven integrated categories including performance management, automated QA, CX intelligence, and AI-enabled coaching.
AmplifAI Recognition 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 including AI agent platforms.
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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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CX 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, both human and AI, 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, channels, and AI agent types.
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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 across human and AI evaluations, eliminating subjective scoring.
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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 AI agent transcripts without requiring manual review.
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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, AI agents, and messaging to surface themes, behaviors, and signals for QA and improvement.
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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 AI agent platforms 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.
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Next Best Action
AI recommends the right coaching, recognition, or follow-up for the right person at the right time.
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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 for 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.
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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.
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Automated QM Workflow
Connects quality insights to performance actions automatically, triggering coaching, recognition, or follow-up based on quality scores.
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Peer Comparisons and Percentile Ranking
Shows how each agent, team, or vendor stacks up 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.
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Flexible Scorecards
Adjusts scorecard weights based on evolving business goals to 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.
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Intraday Performance Tracking
Tracks live performance throughout the day to spot trends in real time and intervene early.
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Historical Trends and Insights
Shows how performance changes over time by metric, person, team, or partner.
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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.
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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.
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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 the KPIs and behaviors tracked in the system.
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AI-Enabled Recognition
Detects milestones and forward progress automatically, then prompts leaders to celebrate the win with the performance context that earned it.
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QA-Driven Recognition
Extends the quality feedback loop to high scores and wow-interactions with targeted recognition for praiseworthy calls.
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Avatars and Badges
Rewards effort and engagement with customizable avatars, badges, and non-monetary awards that showcase individual achievements.
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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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Peer-Performance Comparison
Compares KPIs against peers, programs, and top performers to identify improvement opportunities and reinforce standout work.
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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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Performance-Based Participation
Groups participants by performance tiers for fairer competition, giving every cohort a chance to win and advance.
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Frequently Asked Questions
AmplifAI Recognition FAQ
Answers for CX and contact center leaders evaluating AmplifAI to make recognition timely, specific, and tied to coaching, quality, and performance.
What is AmplifAI Recognition?
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AmplifAI Recognition detects when an agent improves, hits a milestone, or clears a goal, then prompts the right leader to acknowledge it with the specific QA scores, KPIs, and coaching commitments behind the win. Recognition runs on the same unified data that drives coaching and performance management, so every acknowledgment ties back to measurable work.
How does AmplifAI build recognition into the coaching process?
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AmplifAI recommends a recognition action next to every coaching action, drawn from the behaviors an agent already performs well. Leaders walking into an improvement conversation reinforce what is working instead of opening with the deficit, and recognition fires automatically when an agent meets a post-coaching commitment.
What makes AmplifAI Recognition different from other recognition software?
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AmplifAI uses generative AI to write recognition from each agent's actual performance data, naming the metric, behavior, and moment that earned it. Other recognition tools depend on a manager remembering to send a generic message, while AmplifAI runs recognition on the same data as coaching, quality, and performance, reinforcing the behaviors those programs are developing.
How does AmplifAI recognize remote and hybrid agents?
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AmplifAI delivers recognition through performance-based triggers, peer shoutouts, badges, and a shared celebration board, so agents who never share a room with the floor still get acknowledged. High Five lets any designated leader send recognition and kudos directly to an employee, and in-game callouts broadcast wins across distributed teams.
Can AmplifAI recognize improving agents, not just top performers?
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Yes. AmplifAI surfaces forward progress and milestones, not just absolute leaderboard rank, so the agent who improved quietly and the steady mid-tier performer both get seen. Performance-based cohorts give every tier a fair shot at recognition, reaching the A-players and up-and-comers a top-ten leaderboard leaves out.
How does AmplifAI connect recognition to agent retention?
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AmplifAI makes recognition part of the same operating model as coaching and engagement, so the top performers and up-and-comers most at risk of going unnoticed get timely, specific acknowledgment. A global healthcare BPO paired that operating model with a 12% retention improvement and $1.5M in annual savings.
Is AmplifAI secure and compliant for employee recognition and performance data?
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AmplifAI maintains SOC 2 Type II compliance, encrypts data in transit and at rest, and supports role-based access controls across performance, coaching, and recognition data. Recognition runs on the same governed data foundation as the rest of the platform, with PII handling and access controls suited to regulated industries like healthcare and financial services. For full details, visit our Trust and Compliance page.
AmplifAI Recognition Demos
See AmplifAI Recognition in Action
Walk through how AmplifAI detects a win, writes the recognition from real performance data, and prompts the right leader to deliver it alongside coaching.
