AmplifAI AI Agent Management Software

Name: AmplifAI AI Agent Management Software
Brand: AmplifAI
Rating: 4.8 (610 reviews)

One Performance and Governance Layer for AI Agents and Live Teams

AmplifAI transcribes and scores 100% of interactions across your live teams and AI agents, including chatbots, voice bots, and IVAs, on variants of one scorecard weighted per workforce, calibrating automated scores against human judgment, routing each fix to its owner, with coaching for people and engineering for AI agents.

Product Tour

See Features

AmplifAI Is Trusted by Top Enterprises, BPOs, and CX Teams

AmplifAI Applies Consistent Quality Standards Across Your AI Agent Vendors

AmplifAI translates your quality framework into AI evaluation logic, keeping sections, criteria, weights, and auto-fail flags intact while routing scorecard variants by agent type, channel, and line of business, covering AI agents from any vendor alongside your live teams.

Behaviors encode in plain language as machine-detectable criteria, paired to detection cues.
AmplifAI compares AI agent performance side by side across vendors, channels, and contact types.
Compliance and brand-guideline violations flag automatically as auto-fail criteria and route to human review.

AmplifAI Applies Consistent Quality Standards Across Your AI Agent Vendors

Data Integration

Quality Management

AmplifAI Finds Where AI Agents Break Before Your Customers Do

AmplifAI evaluates 100% of AI agent conversations on the metric families that exist only for software, including goal completion, hallucination and fabrication checks, answer grounding against approved knowledge sources, escalation appropriateness judged by intent, and resolution durability measured days after the bot marked the issue solved.

Goal completion, reopen rate, and resolution durability track whether the agent finished the job and the fix held, with top-tier programs landing 55 to 76 percent goal completion.
Hallucination and grounding checks trace claims to approved knowledge sources, targeting fabrication rates under 1 percent and near zero in regulated flows.
Escalation reads by intent, where 50 percent on password resets is a defect and 90 percent on billing disputes is by design.

AmplifAI Finds Where AI Agents Break Before Your Customers Do

Auto QA

CX Intelligence

AmplifAI Connects the Customer Journey Across Live and AI Channels

AmplifAI scores the handoff between AI agents and live teams on preserved context, customer repetition, and transfer friction, and rolls the AI segment, handoff, and human segment into one customer journey score.

Voice AI opens the call scored on the AI scorecard variant, a person completes it scored on the human variant, and one evaluation covers the journey end to end.
AmplifAI tracks transfer rates by contact type, reason, and outcome across AI channels.
Coaching, recognition, and scorecard workflows act on the human side of handoffs through AmplifAI Performance Management and AI-enabled coaching.

AmplifAI Connects the Customer Journey Across Live and AI Channels

AI Coaching

Performance Management

AmplifAI Holds AI Vendors and BPO Partners to One Independent Standard

AmplifAI replaces vendor self-reporting with independent scorecards built from your data, comparing AI vendors, BPO partners, and in-house teams on quality, resolution, and cost per contact, grounding sourcing decisions in measured outcomes.

Vendor scorecards run on live performance data.
Cross-vendor calibration keeps scoring consistent across internal and outsourced sites.
ROI and cost-per-contact analysis prices vendors, human or AI, on equal terms.

AmplifAI Holds AI Vendors and BPO Partners to One Independent Standard

Auto QA

Performance Management

AmplifAI Turns Quality Findings Into Coaching for People and Fixes for AI Agents

AmplifAI routes quality findings to the remediation each workforce needs, including coaching plans for people, and a diagnose, fix, regression-test, and redeploy cycle for AI agents, with root causes traced to prompt defects, knowledge gaps, or model versions and both fix paths landing in one reporting view.

Corrective actions carry an owner, an objective, and a scheduled regression replay, tracked to closure in the next evaluation cycle.
High-performer personas build from your top performers and benchmark your AI agents against the behaviors, language, and resolution patterns behind proven outcomes.
AI teams receive structured, evidence-backed insight, with flagged utterances tied to violated criteria and policy citations.

AmplifAI Turns Quality Findings Into Coaching for People and Fixes for AI Agents

Contact Center AI

CX Intelligence

AmplifAI AI Agent Management Features and Capabilities

AmplifAI AI Agent Management scores AI agent conversations on scorecard variants weighted per workforce, applies governance guardrails and vendor-level oversight, managing people, chatbots, and AI agents from a single pane.

AmplifAI AI Agent Management Software Features and Full Platform Capabilities
AmplifAI Platform Capabilities Comprehensive 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.	✅
Organization and Roster Sync	Maps and updates the full organizational hierarchy so every role receives actions and insights relevant to their position.	✅
Metric and Behaviors Sync	Links metrics to associated behaviors, creating a unified framework for standardized reporting and AI-driven action recommendations.	✅
Flexible Scorecard Management	Provides weighted, live scorecards for agent and leader performance that adapt to evolving business priorities.	✅
AI-Ready Implementation	Dedicated customer success team maps organizational needs into a unified, action-ready platform during onboarding.	✅
Post-Implementation Dedicated Customer Success	Veteran CX leaders maintain active account relationships to keep data, strategy, and platform configuration current.	✅
Flexible Quality Form Management	Supports multiple custom quality forms with tailored scoring frameworks across teams, roles, channels, and lines of business.	✅
On-Premise System Support	Integrates with behind-the-firewall deployments for performance management, quality workflows, and AI coaching without compromising data control.	✅

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.	✅
High Performer Persona Modeling	Builds profiles from top performer behaviors and outcomes, then identifies gaps across the team to replicate what works.	✅
Gen AI Recognition	Generates personalized, context-aware recognition messages based on performance improvements and behavioral milestones.	✅
AI Coaching Plans and Summaries	Produces AI-driven coaching game plans and auto-summarized session notes to improve focus, preparation, and follow-through.	✅
Quality Co-Pilot and Auto QA	Combines automated QA scoring, quality-driven coaching triggers, and QA-based recognition into a continuous feedback loop.	✅
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.	✅

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.	✅
Customer Intent and Call Reason Analysis	Analyzes contact patterns and root causes by product, policy, or process to identify and resolve issues at scale.	✅
Predictive NPS	Forecasts NPS scores based on behavior, sentiment, and call outcomes before surveys are completed.	✅
Survey Commentary Analysis	Converts open-text survey feedback into structured insights, detecting themes and root causes behind detractor comments.	✅
Ask Your Transcripts: Unscripted Q&A	Natural language interface for querying call transcripts, QA data, and CX metrics to get answers on demand.	✅
Sentiment and Root Cause Analysis	Tracks shifts in customer and agent sentiment, then connects them to the underlying causes of poor experiences.	✅
Compliance Monitoring	Detects compliance misses and risky behaviors across calls, chats, and transcripts automatically.	✅
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.	✅
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.	✅
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.	✅
Survey-to-Performance Correlation	Ties NPS, CSAT, and survey comments directly to agent behaviors, call reasons, and QA scores.	✅
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.	✅
Conversational Intelligence	Analyzes every conversation across voice, chat, and messaging to surface key themes, behaviors, and signals for coaching and CX improvement.	✅
Customer Insights and Analytics	Connects survey feedback, call reasons, sentiment, and resolution data to identify what drives satisfaction or friction.	✅

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.	✅
Customizable QA Reporting	Filters quality insights by person, evaluator, score, question, and more to surface the data that matters most.	✅
Quality-Driven Coaching	Creates a feedback loop where quality data like auto-fails and low scores trigger targeted coaching for frontline teams.	✅
Multiple Custom Evaluation Forms	Deploys multiple evaluation forms matched to different teams, roles, and channels, from support to sales to BPOs.	✅
Customer Journey Insights	Connects survey data, call reasons, and repeat contact patterns to uncover where friction occurs and why.	✅
Calibration Workflows	Achieves consistency and accuracy in grading, eliminating subjective evaluations and ensuring fair agent feedback and correct Auto QA scores.	✅
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.	✅
Auto QA Coaching Workflow	Converts QA results into real-time coaching opportunities automatically and at scale.	✅
QA-Driven Recognition	Extends the feedback loop to high scores and standout interactions with targeted recognition for praiseworthy achievements.	✅
Compliance Monitoring	Detects compliance misses and risky behaviors across calls, chats, and transcripts without requiring manual review of every interaction.	✅
360-Degree Performance Insights	Connects quality scores, CRM data, call transcripts, and more for a complete picture of what drives contact center success.	✅
Unified Intelligence Layer	Brings structured and unstructured data together from QA, CRM, CCaaS, surveys, and chat into a single source of truth.	✅
CX Trend Detection and Alerts	Scans CX and operational data for emerging trends, triggering alerts for sentiment drops, rising call reasons, or compliance changes.	✅
Conversational Intelligence	Analyzes conversations across voice, chat, and messaging to surface themes, behaviors, and signals for QA and coaching.	✅
Customer Insights and Analytics	Connects survey feedback, call reasons, sentiment, and resolution data to uncover satisfaction and friction drivers.	✅

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.	✅
Role-Based Views	Automatically personalizes dashboards by role so each person sees the metrics most relevant to their position, from agents to directors.	✅
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.	✅
AI-Enabled Coaching Integration	Identifies and recommends the most valuable coaching opportunity for each agent using AI-driven performance insights.	✅
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.	✅
AI-Enabled Recognition	Detects milestones and progress automatically, prompting leaders to deliver recognition with relevant performance context.	✅
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.	✅
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.	✅
Automated QM Workflow	Connects quality insights to performance actions automatically, triggering coaching, recognition, or follow-up based on quality scores and CX trends.	✅
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.	✅
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.	✅
Flexible Scorecards	Adjusts scorecard weights based on evolving business goals, using strategy priorities to guide actions and keep everyone aligned.	✅
Task Management and Custom Tasks	Assigns, tracks, and completes performance-related tasks, both system-generated and manually created, keeping managers organized and accountable.	✅
Intraday Performance Tracking	Tracks live performance throughout the day to spot trends in real time and intervene early with targeted support before issues escalate.	✅
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.	✅

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.	✅
Automated Follow-up and Recognition Workflows	Triggers coaching reminders and delivers recognition automatically based on KPI movement and coaching activity.	✅
Coaching Effectiveness Scores	Tracks how each coach impacts agent performance over time to measure and improve coaching outcomes.	✅
AI Notes and Summaries	Generates auto-summarized notes from coaching conversations and evaluations to reduce documentation time.	✅
Custom Coaching Forms	Standardized forms aligned to key metrics, behaviors, and goals across teams.	✅
Coach the Coach Actions	Surfaces opportunities to support team leaders with personalized guidance on improving their coaching quality.	✅
Coaching Histories and Commitment Visibility	Displays a complete timeline of every coaching action, commitment, and follow-up for every agent with active commitment tracking.	✅
Behavior-Based Coaching	Targets behaviors tied to performance outcomes, not just metrics, to drive skill development.	✅
Smart Coaching Goals	Sets coaching commitments based on past performance trends and peer benchmarks for every KPI.	✅
Multi-Metric Coaching	Builds sessions around multiple KPIs to reflect the full scope of agent performance and drive balanced improvement.	✅
AutoQA Coaching Workflow	Converts QA results into real-time coaching opportunities automatically and at scale.	✅
Data Agnostic Coaching Workflow	Runs coaching workflows regardless of where structured and unstructured data lives, with no vendor lock-in.	✅
Behavior and Coaching Best Practices from CX Experts	Incorporates proven frontline practices and guidance from top contact center leaders directly into coaching workflows.	✅

Gamification & Engagement Features	How It Works	AmplifAI
Gen AI Recognition	Delivers real-time, personalized recognition based on performance improvements, behavioral milestones, and system activity.	✅
Automated Recognition and Coaching Workflow	Triggers recognition automatically when agents meet post-coaching commitments, aligned to tracked KPIs and behaviors.	✅
Data Powered Games	Launches intelligent contests powered by performance data, tailored by KPI, tenure, skill level, or timeframe.	✅
Real-Time Leaderboards	Tracks progress live with visual rankings that drive competition and team focus.	✅
Incentive Tracker and Calculator	Displays real-time progress toward bonuses and forecasts earnings based on performance improvements across tracked goals.	✅
Rewards and Incentive Management Integrations	Connects existing rewards tools and aligns incentives with quality, performance, and coaching activities.	✅
Avatars and Badges	Rewards effort and engagement with customizable avatars, badges, and non-monetary awards showcasing individual achievements.	✅
Peer-Performance Comparison	Compares KPIs against peers, programs, and top performers to identify improvement opportunities.	✅
In-Game Social Activity	Enables comments, reactions, and social callouts within active contests and games to celebrate wins and build camaraderie.	✅
Performance-Based Participation	Groups participants by performance tiers for fairer competition, giving every cohort a chance to win and advance.	✅

AmplifAI AI Agent Management FAQ

Answers for CX leaders evaluating AmplifAI for AI agent governance, quality management, and unified human-AI performance management.

Which Quality Metrics Does AmplifAI Apply Only to AI Agents?

AI agents carry quality metric families that apply only to automated conversations, including goal completion rate, where top-tier programs land 55 to 76 percent per AmplifAI analysis of top-quartile deployments, hallucination and fabrication rates targeting under 1 percent and near zero in regulated flows, answer grounding that traces claims to approved knowledge sources, tool and API call errors, escalation appropriateness judged by intent, resolution durability measured 7 to 10 days after close, and reopen rates that expose premature resolutions. Human-only criteria drop out of the AI variant, with rapport and relationship-building graded on human calls and removed from bot scorecards.

What Industries Does AmplifAI Support?

AmplifAI powers contact centers running frontline customer-facing teams and AI agents in any industry. AmplifAI configures automated QA/QM, coaching, performance management, and CX intelligence to match each organization's data environment, compliance requirements, and business objectives during implementation. See how AmplifAI serves healthcare, financial services, retail and eCommerce, BPOs and outsourcers, hospitality and travel, and communications, media, and technology.

Is AmplifAI Secure and Compliant for Enterprise AI Agent Data?

AmplifAI maintains SOC 2 Type II compliance, encrypts data in transit and at rest, and auto-redacts PII, PHI, and PCI data from all transcripts before storage. Customer data lives in dedicated Microsoft Azure accounts under role-based access controls. For full details on security posture and compliance frameworks, visit our Trust and Compliance page.

How Does AmplifAI Improve Our AI Agents Beyond Monitoring Them?

AmplifAI identifies which contact types and scenarios your AI agents struggle with, benchmarking AI agent performance against your top human performers using high-performer persona modeling, while pinpointing the behaviors and resolution patterns where AI underperforms, giving your AI development teams structured insights to improve agent responses and workflows.

How Does AmplifAI Connect AI Agent Performance to Live Agent Performance?

AmplifAI tracks your complete customer journey across AI and human channels. When an AI agent transfers a conversation to a human agent, AmplifAI connects both interactions, scoring the handoff on preserved context, customer repetition, and transfer friction, and surfacing how the combined experience affects customer satisfaction. AmplifAI measures live and AI agents through one framework, grading each workforce on the behaviors its customers reward, with AI-powered next best actions guiding teams where to act on those measurements in AmplifAI Performance Management and AI-enabled coaching.

Does AmplifAI Work With AI Agents From Multiple Vendors Simultaneously?

Yes, AmplifAI is vendor-agnostic and connects to 150+ contact center systems and data sources, whether your AI agents come from one vendor or several, ingesting conversation data and applying consistent quality standards through a single governance layer.

How Does AmplifAI Evaluate AI Agent Conversations Differently From Live Agent Conversations?

AmplifAI runs one evaluation engine across human and AI conversations, re-weighting the behaviors that mean different things per workforce. Rapport and extended empathy lift CSAT on a human call and read as friction on a chat or chatbot interaction, where directness drives satisfaction, a pattern AmplifAI measured in production at a large retail client. Scorecard variants route automatically by agent type, with bots graded on directness and resolution while your people earn credit for the judgment and empathy customers value from them.

AmplifAI Guided Demo

See AmplifAI AI Agent Management Software 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.

Start the AmplifAI Product Tour Now

See AmplifAI AI Agent Management Software in Action

Talk to AmplifAI

Govern your AI agents and live teams in one platform, with AmplifAI

See how AmplifAI measures, calibrates, and improves your AI agents and live teams.