AmplifAI AI Agent Management Software

One Performance and Governance Layer for AI Agents and Live Teams

Your live teams answer to QA reviews, calibration sessions, and coaching plans, while chatbots, voice bots, and IVAs handling the same customers grade themselves on vendor dashboards. AmplifAI holds both sides of your workforce to one quality bar, evaluating 100% of AI agent conversations on the scorecard your people already run on, calibrating automated scores against human judgment, routing each fix to its owner: coaching for people, engineering for AI agents.

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AmplifAI AI Agent Management Software

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

The Home Depot
Fiserv
Cox Communications
Universal Studios

AI Agent Management Challenges

Your Digital Workforce Arrived Before the Management Layer

AI agents take customer conversations in production, scored on vendor dashboards, exempt from the QA, coaching, and performance standards your live teams already meet, while invisible to the roles accountable for customer experience.

AI Vendors Score Their Own Quality

Your chatbot vendor reports containment one way, your voice bot measures resolution another, while your BPO’s IVA has its own dashboard, leaving procurement, CX, and compliance without one scorecard to compare AI agents on.

Quality Standards Stop at the Human Roster

Live agents get scored, calibrated, and coached, while AI agents handle the same customer interactions without scorecards, reviews, or QA accountability.

AI-to-Human Handoffs Go Unmeasured

Customers start with an AI agent and finish with a live agent, no scorecard on either side covering preserved context, customer effort, or the friction the transfer added.

AI Failures Surface as CSAT Drops, Not Alerts

AI agents answer the same question two different ways, without continuous evaluation across interactions, damage shows in CSAT weeks before its cause.

Automated Scores Without Calibration Break Trust

Uncalibrated Auto QA produces scores your teams hesitate to act on, missing evidence links to exact transcript moments, calibration stats reviewers can inspect, and formal sign-off before automation runs unsupervised.

AmplifAI AI Agent Management Use Cases

Govern, Measure, and Improve Your AI Agents From One Management Layer

Apply 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, one quality program covering each vendor’s chatbots, voice bots, and IVAs alongside your live teams.

  • Your framework encodes as machine-detectable criteria, with each behavior paired to the detection cues that evidence it.
  • Performance compares across AI vendors, channels, and contact types in one view, independent of self-reported metrics.
  • Compliance and brand-guideline violations flag automatically as auto-fail criteria and route to human review.
Apply Consistent Quality Standards Across Your AI Agent Vendors
Data Integration → Auto QA →

Find 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 whether the fix held, with top-tier programs landing 55 to 76 percent goal completion (AmplifAI analysis of top-quartile AI agent deployments, 2026).
  • 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 policy working.
Find Where AI Agents Break Before Your Customers Do
Auto QA → CX Intelligence →

Connect the Customer Journey Across Live and AI Channels

AmplifAI scores the handoff between AI agents and live teams as its own moment, measuring preserved context, customer repetition, and transfer friction, and rolls the AI segment, the handoff, and the human segment into one journey score, because customers judge the whole conversation, not the halves.

  • 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.
  • Transfer rates track by contact type, reason, and outcome across AI channels.
  • Coaching, recognition, and scorecard workflows act on the human side of each handoff through AmplifAI performance management and AI-enabled coaching.
Connect the Customer Journey Across Live and AI Channels
Performance Management → AI Coaching →

Hold AI Vendors and BPO Partners to the Same 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, so sourcing decisions rest on measured outcomes.

  • Vendor scorecards build from live performance data instead of quarterly business reviews.
  • Cross-vendor calibration keeps scoring consistent across internal and outsourced sites.
  • ROI and cost-per-contact analysis prices vendors, human or AI, on the same basis.
Hold AI Vendors and BPO Partners to the Same Independent Standard
Performance Management → Auto QA →

Turn Quality Findings Into Coaching for People and Fixes for AI Agents

AmplifAI routes each quality finding to the remediation its workforce needs: 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 picture.

  • 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 instead of anecdote and transcript sampling.
Turn Quality Findings Into Coaching for People and Fixes for AI Agents
Contact Center AI → CX Intelligence →

Why AmplifAI for AI Agent Management

One Management Layer, 100% Conversation Coverage, and a Human-to-AI Training Loop

Contact centers deploying AI agents without unified governance face rising costs, inconsistent quality, and invisible failure modes, gaps AmplifAI closes with one management layer across vendors and channels.

UNIFIED VIEW

One Platform for Your Entire CX Operation

AmplifAI manages human agents, AI chatbots, voice bots, and IVAs with the same quality standards, performance metrics, and coaching frameworks, ending separate dashboards per vendor.

QUALITY AT SCALE

100% of AI Conversations Evaluated

AmplifAI replaces vendor self-reporting and periodic audits with continuous, AI-powered quality scoring across 100% of interactions, regardless of channel or vendor.

TRAINING LOOP

Your Top Performers Train Your AI

High-performer persona modeling captures what your top performers do differently, feeding the patterns to AI teams as structured training data that improves AI agent accuracy and resolution rates.

AmplifAI AI Agent Management Capabilities

AmplifAI AI Agent Management Features and Capabilities

AmplifAI AI Agent Management scores AI agent conversations on the same quality framework as your live teams, applies governance guardrails and vendor-level oversight, managing people, chatbots, and AI agents from a single pane.

AmplifAI Unified Data Integration Features and Capabilities
Unified 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 each role receives actions and insights for their position and the teams they lead. ✅
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 AI platform during onboarding. ✅
Post-Implementation Dedicated Customer Success Veteran CX leaders maintain active account relationships to keep data, strategy, and platform configuration current. ✅
On-Premise System Support Integrates with behind-the-firewall deployments for performance management, quality workflows, and AI coaching without compromising data control or compliance. ✅
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. ✅
MS Teams Integration Get notified in Microsoft Teams when important AmplifAI activity happens, so key updates reach people where they already work. ✅
Explore AmplifAI Unified Data Integration →
AmplifAI Contact Center AI Features and Capabilities
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 role based on performance gaps and business priorities. ✅
High Performer Persona Modeling Builds profiles from top performer behaviors and outcomes, identifying gaps across the team to replicate what works. ✅
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. ✅
Explore AmplifAI Contact Center AI →
AmplifAI Auto QA, Quality Management & Conversation Intelligence Features and Capabilities
Auto QA, Quality Management & Conversation Intelligence Features How It Works AmplifAI
Auto QA for Scaled Efficiency Analyzes 100% of customer interactions, auto-scoring routine contacts and flagging complex ones for human review. ✅
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. ✅
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 QA evaluation forms matched to different teams, roles, and channels, including support, sales, and BPOs. ✅
Flexible Quality Form Management Supports multiple custom quality forms with tailored scoring frameworks across teams, roles, channels, and lines of business. ✅
Calibration Workflows Achieves consistency and accuracy in grading, eliminating subjective evaluations and ensuring fair agent feedback and correct Auto QA scores. ✅
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 each interaction. ✅
360-Degree Performance Insights Connects quality scores, CRM data, call transcripts, and more for a complete view of what drives contact center success. ✅
Conversational Intelligence Analyzes conversations across voice, chat, and messaging to surface themes, behaviors, and signals for QA and coaching. ✅
Automated QM Workflow Connects quality insights to performance actions automatically, triggering coaching, recognition, or follow-up based on quality scores and CX trends. ✅
Evaluation Form 2.0 Assess coaching quality, time audits, and more on a flexible, configurable evaluation form. ✅
Explore AmplifAI Auto QA, Quality Management & Conversation Intelligence →
AmplifAI Customer Analytics & Insights Features and Capabilities
Customer Analytics & Insights Features How It Works AmplifAI
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 for Ad-Hoc Queries 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, connecting them to the underlying causes of poor experiences. ✅
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. ✅
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. ✅
Customer Insights and Analytics Connects survey feedback, call reasons, sentiment, and resolution data to identify what drives satisfaction or friction. ✅
Explore AmplifAI Customer Analytics & Insights →
AmplifAI Gamification, Recognition & Incentives Features and Capabilities
Gamification, Recognition & Incentives Features How It Works AmplifAI
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. ✅
Avatar 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 each cohort a chance to win and advance. ✅
Gen AI Recognition Generates personalized, context-aware recognition messages in real time, 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. ✅
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 systems and aligns incentives with quality, performance, and coaching activities. ✅
Recognition Task Creation Create recognition once and deploy it across the org, giving every leader a fast way to celebrate the same win at scale. ✅
High Five Send instant kudos directly to any employee to reinforce great work the moment it happens. ✅
Game Hub A central hub where agents find every active game and contest they can join, all in one place. ✅
Celebration Board A shared board that spotlights wins and recognition across the team to build momentum and camaraderie. ✅
Explore AmplifAI Gamification, Recognition & Incentives →
AmplifAI AI Agent Performance & Governance Features and Capabilities
AI Agent Performance & Governance 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 across all channels. ✅
AI Channel Management Measures and improves automated support channels like chatbots alongside live teams, applying the same quality and performance standards across both AI and human agents. ✅
AI Agent Quality Monitoring Applies Auto QA and quality management to AI-agent and chatbot conversations, holding your digital workforce to the same standards as your people. ✅
AI Agent Governance & Guardrails Sets the policies, guardrails, and accountability controls that keep AI agents within brand, compliance, and quality boundaries. ✅
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. ✅
Multi-Vendor Performance Oversight Monitors each outsourcer and internal site against the same metrics in one view, so underperformance surfaces by vendor, program, and team before it reaches the customer. ✅
Cross-Vendor Quality Calibration Calibrates quality scoring across vendors and sites so each partner grades interactions against the same rubric, keeping QA results comparable wherever the work happens. ✅
Vendor Scorecard Management Builds vendor scorecards from live performance data, replacing spreadsheet roll-ups with standings each partner can see and act on. ✅
BPO ROI and Cost-Per-Contact Analysis Connects vendor performance to cost, measuring ROI and cost per contact by partner so outsourcing decisions rest on outcome data, not invoices. ✅
Explore AmplifAI AI Agent Performance & Governance →
AmplifAI Unified Performance & Coaching Features and Capabilities
Unified Performance & Coaching Features How It Works AmplifAI
Max, the AmplifAI AI Coach Max runs evidence-grounded practice sessions with each agent between customer interactions: a briefing built from their last 100 evaluated calls, side-by-side moments against a matched high performer, live role-play, and a scored debrief that sets up the next person-to-person coaching session. ✅
Unified Performance Data Brings together structured and unstructured data from QA, WFM, CRM, CCaaS, surveys, and more into one system. ✅
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 Triggers Triggers coaching actions directly from performance data, connecting KPI movement and missed goals to the coaching queue. ✅
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. ✅
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 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-Driven, Next Best Coaching Actions Pinpoints the most valuable coaching opportunity for each agent using AI-powered performance insights. ✅
Auto 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 AI-driven coaching plans and auto-summarized session notes from coaching conversations and evaluations, reducing documentation and prep 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 coaching actions, commitments, and follow-ups for each agent with active commitment tracking. ✅
Behavior-Based Coaching Targets behaviors tied to performance outcomes, not metrics alone, to drive skill development. ✅
Smart Coaching Goals Sets coaching commitments based on past performance trends and peer benchmarks for each KPI. ✅
Multi-Metric Coaching Builds sessions around multiple KPIs to reflect the full scope of agent performance and drive balanced improvement. ✅
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. ✅
Coaching Recording Record coaching conversations at every level, then feed them to AI notes and conversation intelligence to build a library of what great coaching sounds like. ✅
Multi-Metric Coaching for Leaders Coach team leaders themselves on several performance drivers in one structured session, using the same multi-metric form your frontline coaching runs on. ✅
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. ✅
Multi-Vendor Performance Oversight Monitors each outsourcer and internal site against the same metrics in one view, so underperformance surfaces by vendor, program, and team before it reaches the customer. ✅
Cross-Vendor Quality Calibration Calibrates quality scoring across vendors and sites so each partner grades interactions against the same rubric, keeping QA results comparable wherever the work happens. ✅
Vendor Scorecard Management Builds vendor scorecards from live performance data, replacing spreadsheet roll-ups with standings each partner can see and act on. ✅
BPO ROI and Cost-Per-Contact Analysis Connects vendor performance to cost, measuring ROI and cost per contact by partner so outsourcing decisions rest on outcome data, not invoices. ✅
Coaching Task Creation Create a coaching task once and deploy it across the org so every leader coaches the same priority at the same time. ✅
Custom Coach Tasks Auto-generate coaching tasks from the conditions you set — thresholds, metrics, and outliers — so the right coaching is queued before anyone asks. ✅
Coaching Drafts Save a coaching session in progress, pivot to something urgent, and come back to finish it later without losing your work. ✅
Coaching Library Browse a library of top-performing coaching sessions so leaders can learn from proven examples across the organization. ✅
Micro Learnings Serve bite-sized learning content in the flow of work, tied to the metrics and behaviors each person is being coached on. ✅
Task Reassignment Reassign or cancel another user's open tasks when coverage changes, so work never stalls when someone is out. ✅
Operations Manager Tasks Extend follow-up, recognition, and coaching tasks up to operations managers, keeping accountability consistent across every layer of leadership. ✅
Custom Tiles Add tiles that link out to internal reporting or other tools, bringing the systems your teams use into one view. ✅
Hot Topics Push an ad-hoc topic across the org for leaders to coach or recognize on, so timely priorities reach the floor fast. ✅
Performance Dashboard An operational performance dashboard that brings the metrics that matter into a single, real-time view. ✅
Team Leader Dashboard A role-based dashboard for team leaders, surfacing the team performance and coaching signals they act on every day. ✅
Manager Dashboard A role-based dashboard for managers, rolling up team and program performance for the decisions they own. ✅
Agent Dashboard A role-based dashboard for frontline agents, giving each person a clear view of their own metrics, goals, and recognition. ✅
Effectiveness Dashboard See how coaching is moving performance, with a dashboard that connects coaching activity to measurable results. ✅
Agent Summary A summary view of each agent's performance, trends, and coaching history in one place. ✅
Coaching Summary A summary of coaching activity and its impact across a team or program. ✅
Team Leader Summary A summary report at the team-leader level, rolling up performance and coaching across each leader's span. ✅
Explore AmplifAI Unified Performance & Coaching →
AmplifAI Security & Compliance Features and Capabilities
Security & Compliance Features How It Works AmplifAI
Compliance & Certifications SOC 2 Type II, ISO 27001, PCI, HIPAA, GDPR. ✅
Encryption at Rest and in Transit AES-256 at rest, TLS 1.2+ in transit. ✅
Identity & Access Management SSO, MFA, RBAC. ✅
PII Detection & Masking in Transcripts Detects and masks PII in transcripts. ✅
Data Residency, Retention & Governance Data residency/sovereignty options and customer-controlled retention & deletion policies. ✅
Explore AmplifAI Security & Compliance →

AmplifAI AI Agent Management Demos

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.

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100% of AI agent interactions evaluated
Unified governance across all AI vendors and human teams
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Frequently Asked Questions

AmplifAI AI Agent Management FAQ

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

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

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AmplifAI’s AI engine evaluates human and AI agent conversations alike, analyzing each interaction, whether it came from a human agent, a chatbot, a voice bot, or an IVA, using consistent quality scoring, sentiment analysis, and resolution tracking. AI agents produce variable outputs for identical inputs, AmplifAI evaluates across thousands of interactions to catch failure patterns and edge cases spot-checking would miss.

Does AmplifAI Work With AI Agents From Multiple Vendors Simultaneously?

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Yes, AmplifAI is vendor-agnostic and connects to 150+ platforms, whether your AI agents come from one vendor or several, AmplifAI ingests conversation data from each source, applying the same quality standards, giving you a single governance layer, not a stack of each vendor’s self-reported metrics.

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

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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, surfacing transfer rates by contact type, outcomes after the handoff, and how the combined experience affects customer satisfaction. AmplifAI measures live and AI agents with the same framework, with coaching, recognition, and scorecard workflows acting on those measurements living in AmplifAI Performance Management.

How Does AmplifAI Improve Our AI Agents Beyond Monitoring Them?

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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 surfacing behaviors and resolution patterns where AI underperforms, giving your AI development teams structured insights to improve agent responses and workflows.

What Industries Does AmplifAI Support?

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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?

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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.

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Govern your AI agents, with AmplifAI

See how AmplifAI measures, governs, and improves your AI agents alongside your human teams.