Best Call Center Monitoring Software: 9 Systems Compared for 2026
Call center monitoring software lets supervisors see and hear what happens on customer calls, then coach agents and catch problems before they cost you. The best systems now score every interaction with AI instead of a manager spot-checking a handful.
This guide compares nine call center monitoring systems by what they do well and who they fit. Eight monitor human agents; one, Retell, monitors the calls your AI voice agent handles, which is a growing part of the mix.
Pricing is mostly quote-based at the enterprise end, so we focus on capability and fit rather than a headline rate.
TL;DR
Call center monitoring software records, transcribes, and scores calls so leaders can coach agents and stay compliant.
Modern systems use AI to review 100 percent of calls, not a manual sample, and flag risk in near real time.
NICE CXone and Verint lead at the enterprise end; Observe.AI, Cresta, and Balto focus on AI QA and live agent guidance.
Gong and CallMiner are strong on conversation intelligence and analytics; Talkdesk bundles monitoring into its contact center.
Retell monitors your AI voice agent calls: watch active calls live, auto-score 100 percent of them, and review each in post-call analysis.
Choose by what you monitor (human agents or AI calls), what you need (live coaching, QA scoring, or analytics), your scale, and compliance.
Call center monitoring software gives supervisors visibility into calls handled in a call centre. At a minimum it records and transcribes calls. Modern systems add AI scoring, sentiment detection, and live alerts.
The point is to move quality from guesswork to evidence, so coaching is based on what actually happened on calls, not a manager's memory of a few.
Common capabilities to look for:
Call recording and transcription: capture every call and turn it into searchable text.
Live monitoring: listen in, whisper coaching to an agent, or barge into a call when needed.
Automated QA scoring: grade calls against a scorecard automatically instead of sampling by hand.
Speech and sentiment analysis: flag risk, frustration, and compliance issues across all calls.
Dashboards and alerts: track KPIs and get notified when call quality drifts.
Retell: best for monitoring AI voice agent calls.
NICE CXone: best for large enterprises wanting an all-in-one suite.
Verint: best for workforce engagement and deep analytics.
Observe.AI: best for AI-driven QA and agent coaching.
Cresta: best for live agent assist during calls.
Balto: best for real-time guidance and compliance prompts.
Gong: best for sales conversation intelligence.
CallMiner: best for deep interaction analytics.
Talkdesk: best for monitoring inside a cloud contact center.
The other systems here watch human agents. Retell is the one built to monitor the calls handled by an AI voice agent, which matters as more teams put AI on the phone for part of their volume.
You can watch active calls live and step in while the customer is still on the line, and you can auto-score calls with built-in AI quality assurance that reviews up to 100 percent of calls instead of a manual sample.
Every call is logged for post-call analysis with the transcript, recording, outcome, and sentiment, and the agent does a warm transfer to a person when a call needs one. It runs on top of your existing phone setup through integrations like Twilio and Vonage.
Best for: teams automating part of their call volume that want live monitoring and QA on every AI-handled call, and fewer routine calls to review overall.
Limitation: it monitors AI voice agent calls, not human agents, so it does not whisper-coach or barge into a human's live call. To supervise a human queue, pair it with one of the systems below and use Retell for the automated customer support calls.
NICE CXone is a cloud contact center platform with monitoring built into a wider suite: recording, speech analytics, quality management, and workforce tools in one place.
Best for: large enterprises that want monitoring, routing, and workforce management from a single vendor.
Limitation: breadth comes with complexity and cost, and rollouts often need professional services.
Verint focuses on workforce engagement: call recording, speech analytics, quality management, and coaching, with AI that reviews interactions across channels for sentiment and compliance risk.
Best for: contact centers that treat quality and workforce optimization as a core program, not an add-on.
Limitation: it is a heavy enterprise platform, so smaller teams may find it more than they need.
Observe.AI centers on analyzing calls with AI to score quality, surface coaching moments, and automate QA across the bulk of interactions rather than a sample.
Best for: teams that want automated QA coverage and structured agent coaching.
Limitation: it layers onto your contact center, so you still run a separate phone platform underneath.
Cresta emphasizes live guidance: prompting agents during calls, suggesting next steps, and combining that with QA and analytics for large teams.
Best for: enterprises that want to guide agents during the call, not only review afterward.
Limitation: real-time assist shines at scale, so the value is smaller for low call volumes.
Balto delivers on-screen prompts to agents during live calls, nudging them toward the right message and flagging compliance language as it happens.
Best for: B2C call centers that need consistent messaging and live compliance checks.
Limitation: it is focused on the live-guidance layer, so pair it with a system that handles recording and analytics depth.
Gong analyzes sales calls to surface what moves deals: talk patterns, objections, and pipeline signals. It is conversation intelligence tuned for revenue teams more than support QA.
Best for: B2B sales and RevOps teams that want visibility into deal conversations.
Limitation: it is built for sales, so it is a weaker fit for support-center quality monitoring.
CallMiner is a speech and interaction analytics platform that mines large volumes of calls for sentiment, root cause, and compliance patterns.
Best for: large centers with analyst teams focused on deep analytics and root-cause work.
Limitation: getting full value tends to assume dedicated analysts, which smaller teams may not have.
Talkdesk is a cloud contact center that bundles monitoring in: real-time dashboards, call listening, and analytics alongside routing and an automatic call distributor.
Best for: teams that want their phone platform and monitoring from one cloud vendor.
Limitation: monitoring is part of the broader platform, so it is most compelling if you also want Talkdesk as your contact center.
Match the tool to what you actually need to see and do:
Decide the primary job. Live coaching, automated QA scoring, or deep analytics point to different tools.
Check the channels. Voice only, or voice plus chat and email, changes the shortlist.
Confirm integrations. It should connect to your contact center, CRM, and phone system.
Weigh compliance. Regulated teams need recording controls and access rules. Check each vendor's security and compliance posture.
Ask about call volume. If a large share of calls is routine, deflecting them may cut your monitoring load more than any dashboard.
It is software that records, transcribes, and evaluates customer calls so supervisors can coach agents, track quality, and stay compliant. Modern systems use AI to score every call instead of a manual sample.
It depends on your goal. NICE CXone and Verint suit large enterprises wanting an all-in-one suite. Observe.AI, Cresta, and Balto focus on AI QA and live guidance. Gong fits sales teams, and CallMiner fits deep analytics. If you are monitoring AI voice agent calls rather than human agents, Retell is the fit.
Call monitoring is the broad practice of observing calls live or after the fact. Quality assurance is the scoring layer on top, grading calls against a scorecard to find coaching gaps and compliance issues.
Yes. An AI voice agent can handle routine calls directly, which lowers the volume of human calls to review. You still measure quality on the automated calls through post-call analysis and automated QA, so nothing goes unchecked.
Most enterprise systems are quote-based and priced per agent or per feature tier, so the total depends on team size and modules. Ask each vendor for pricing against your seat count and the capabilities you need.
Fewer routine calls to monitor, and quality on every one.
Retell handles routine calls with an AI voice agent and scores every one with built-in QA, alongside the phone setup you already run. Try Retell free or talk to sales.
See how much your business could save by switching to AI-powered voice agents.
Total Human Agent Cost
AI Agent Cost
Estimated Savings
A Demo Phone Number From Retell Clinic Office
