CASE STUDY
How AI-Driven Coaching Lifted Sales Conversion and Cut Handle Time at a Top US Insurance Carrier
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Insurance Coach effectively with prescriptive AI and maximize CX teams
AmplifAI identifies coaching opportunities from QA, performance, and CX data, recommends the next best coaching action for every leader, and measures whether coaching drove measurable improvement through the Coaching Effectiveness Index.
Coaching Workflows Find, Prep, Run, and Prove Each Session
AmplifAI ranks coaching opportunities by likely KPI impact and builds the session plan around the top performance improvement driver. Team leaders open their dashboard to guidance on who to coach, what to address, and how to run the session.
Prescriptive coaching actions tie agent behaviors to business outcomes, aligned to your customer service KPIs.
Customer service KPIs roll up to your larger business goals.
Smart coaching goals and multi-metric plans keep sessions pointed at the two or three behaviors that matter this month.
AmplifAI ties coaching sessions to the KPI movement that followed through Coaching Effectiveness Scores (CEfx), showing CX leaders which coaches lift performance and which need support.
AmplifAI's Coaching Effectiveness Scores (CEfx) connect sessions to targeted metrics and score whether the behavior change held.
Auto QA analysis extends to coaching sessions, surfacing the habits of your most effective coaches.
Coach-the-coach actions give CX leaders a development plan per team leader, backed by measured results.
AmplifAI routes auto-fails, low scores, and standout interactions from Auto QA straight into coaching workflows, with the transcript, score, and specific behavior attached.
Auto-fail triggers open targeted coaching on compliance and critical misses.
Standout calls earn recognition automatically, reinforcing the behaviors coaching is building.
Custom coaching forms and calibration keep QA-driven sessions consistent.
AmplifAI generates session summaries, commitments, and follow-up tasks from coaching conversations and keeps a searchable coaching history per agent, while leaders spend the session coaching.
Session prep that took an afternoon drops 62%, with agent KPIs, trends, and flagged interactions gathered automatically.
Coaching histories and commitment visibility show past sessions beside targeted KPIs.
Automated follow-up and recognition workflows fire when an agent keeps a post-session commitment.
Max AI Coach builds a practice session from an agent's last 100 evaluated interactions, plays the agent's call moments side by side with a matched high performer, role-playing the conversation live and scoring the run on evidence from the agent's words. Person-to-person coaching stays the center of development, with Max handling tactical practice drills between customer interactions, keeping protected coach time where a human matters most.
Session briefings ground practice runs in Auto QA scores and customer analytics from the agent's calls.
High-performer exemplars show the behavior done well before the agent practices it.
Debrief scorecards quote the agent's practice turns as evidence, with the behaviors to coach mapped for the team leader.
See who to coach, prepare faster, and measure the result
AmplifAI delivers AI-driven next best coaching actions, coaching effectiveness scoring, Auto QA coaching workflows, behavior-based coaching, AI notes and summaries, and coach-the-coach capabilities as part of an end-to-end contact center AI system.
| Capability | What it does |
|---|---|
| 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. |
| 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. |
| M1 Multi-Metric Coaching Form | Coach team leaders themselves on several performance drivers in one structured session, using the same multi-metric form your frontline coaching runs on. |
| 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. |
| My 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. |
These are the capabilities connected to AI-Enabled Coaching. Explore the full AmplifAI capability map to see how each solution connects across CX and performance management.
See all solutionsFrequently asked questions.
Common questions about AmplifAI call center coaching software, AI-driven coaching actions, coaching effectiveness, and measuring coaching ROI.
AmplifAI gives leaders at every level, from supervisors to managers to quality leaders, clear visibility into agent KPIs, quality scores, and leadership effectiveness. AmplifAI unifies all coaching data and uses AI to recommend the right next action for every role. Whether you're coaching an agent to improve CSAT, helping a supervisor become a stronger leader, or ensuring quality leaders connect their insights to results, AmplifAI keeps everyone focused on what moves performance forward, aligned to your goals. See how AmplifAI compares to the top call center coaching software solutions.
AmplifAI call center coaching software measures coaching ROI through the Coaching Effectiveness Index and measurable follow-ups, showing exactly how coaching improves KPIs, reduces attrition, and drives agent development. AmplifAI connects every coaching session to KPI movement so leadership sees which coaches, sessions, and recommendations produce measurable improvement.
AmplifAI translates top-level objectives into personalized action plans for team leads and agents automatically. Goals flow from leadership through AmplifAI's AI into specific coaching, recognition, and follow-up actions for every role, with progress trackable in real time.
Yes. AmplifAI's call center coaching software takes the data work off their plate, delivering AI-powered coaching recommendations and performance snapshots in plain language. Supervisors confidently lead effective coaching conversations with the right context, the right data, and the right next action prepared for them.
AmplifAI customers reduce time spent pulling reports and prepping for coaching by over 60%. AmplifAI gathers agent KPIs, recent trends, quality scores, and issues that require action, then delivers AI-prioritized coaching actions and recognition moments so team leaders spend time coaching rather than compiling data.
AmplifAI connects QA data directly to coaching workflows. When Auto QA identifies a low score, a compliance miss, or a trending performance gap, AmplifAI automatically triggers a coaching action with the relevant context attached. Supervisors coach from complete QA data with the full picture of agent performance across every interaction. Explore how QA and coaching connect across vendors in our call center quality assurance software guide.
AmplifAI powers contact centers across every industry with frontline customer-facing teams and AI agents. AmplifAI configures every AI capability including 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.
AI coaching that improves performance and returns time to frontline leaders
AmplifAI customer programs lifted sales conversion 7%, reduced AHT 5%, saved $380K annually, and increased weekly coaching time 40% through AI-driven coaching, performance context, and automated preparation.
See How AmplifAI Call Center Coaching Software Works
AmplifAI identifies who to coach, recommends the next best coaching action from unified QA and performance data, and measures whether coaching drove improvement through the Coaching Effectiveness Index.
AmplifAI your CX 30 minutes today can extend your contact center capacity by 30%.
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Quality and customer data handled to the standards regulated industries require.
AmplifAI runs on internally hosted LLMs, so your data never touches public APIs and is never used to train models for other customers. Access is governed by SSO with Okta and Azure AD and role-based controls, so agents see only their own data, in a logically separated environment with no commingling between customers.
AES-256
encryption in transit and at rest
AmplifAI maintains the certifications highly regulated industries require, including healthcare and finance. Built on Microsoft Azure and working with AWS and GCP, it can be deployed inside your cloud infrastructure, with data region-locked to specific geographic locations.
SSNs, credit card numbers, birth dates, and health information are redacted automatically before AI processing.
AmplifAI analyzes, transcribes, and links back to your system rather than storing call recordings long-term.