Enthu.AI Review: Overview, Features, Pricing & Alternatives in 2025

Listening to every customer call is impossible.

If you’re dealing with tons of sales or support conversations, but only hearing feedback from a tiny fraction, it’s tough to really know what’s working—and what’s not.

In my analysis of Enthu.AI, research insight: limited manual QA means major blind spots when it comes to improving agent quality and spotting compliance problems.

That’s why I was interested in how Enthu.AI uses AI to automatically transcribe, analyze, and score 100% of your customer interactions—helping you find key moments, coach more effectively, and deliver better outcomes.

In this review, I’ll break down how you can finally fix the feedback gap using Enthu.AI, whether you’re running a small team or scaling a fast-moving contact center.

You’ll find a full Enthu.AI review covering core features, real-world usage, pricing, implementation effort, and how it measures up against alternatives in this space.

I’ll give you the insights you need to pick the features you need to coach better, boost performance, and make smarter decisions.

Let’s get started.

Enthu.AI Overview

Enthu.AI has been around since 2020, based in Gurugram, India. What impressed me is their core mission: making powerful conversation intelligence truly accessible for growing teams like yours.

What sets them apart is their dedicated focus for small and mid-sized businesses who need an effective tool without the enterprise price tag. My analysis shows they’re a great fit for you if you’re frustrated with inefficient manual call reviews and limited budgets.

Their 2021 inclusion in the Accel Atoms accelerator program really stood out during my Enthu.AI review. This move provided early market validation and confirmed their strong growth trajectory.

Unlike competitors like Gong, Enthu.AI smartly avoids feature overload. Instead, its value is a sharp focus on core coaching and QA. From my evaluation, it feels like it was built by people who actually manage sales and support teams, making it more intuitive.

During my research, I found they work with a range of SMB and mid-market companies. Their platform is a solid choice for your sales and support leadership teams.

I was surprised to learn how their strategy centers on providing a complete, holistic platform. This directly addresses your need for post-call analysis, QA automation, and real-time assistance without buying separate, costly tools.

Now let’s examine their capabilities.

Enthu.AI Features

Are manual call reviews holding your team back?

Enthu.AI solutions provide an integrated conversation intelligence platform designed to give you a 360-degree view of every customer interaction. These are the five core Enthu.AI solutions that solve real business problems for sales and support teams.

1. AI-Powered Call Transcription & Analysis

Tired of reviewing calls one by one?

If you’re also looking into effective call management tools, my article on best call blocking apps software covers additional solutions.

Manually sifting through recordings is incredibly time-consuming, meaning you miss out on crucial insights from most of your customer conversations. This inefficiency costs your business vital information.

Enthu.AI automatically records and transcribes 100% of calls, then analyzes them for sentiment and topics. From my testing, its high accuracy across various accents impressed me. This core solution lets you quickly access full transcripts, saving hours.

This means you can quickly pinpoint why deals are won or lost, gaining actionable insights directly from every customer interaction.

2. Moment & Topic Detection

Struggling to find key moments in long calls?

Locating specific events like competitor mentions or compliance statements within lengthy recordings is like finding a needle in a haystack. This makes targeted coaching almost impossible.

You can configure this Enthu.AI solution to automatically flag custom “Moments” using keywords and phrases. What I found helpful is its ability to jump you directly to crucial parts of any call. This feature ensures you never miss a critical interaction detail.

This helps you quickly identify sales objections or compliance issues, allowing managers to focus on specific training needs and improve agent performance.

3. Agent Coaching & Performance Management

Is your coaching generic and ineffective?

Without specific examples, agent feedback falls flat. You need contextual insights based on actual conversations to drive meaningful performance improvements.

Managers can highlight transcript sections and leave time-stamped feedback directly for agents. This is where Enthu.AI shines, offering a library for best-practice snippets so you can build a consistent coaching framework. This solution helps track agent performance over time.

You can deliver targeted, impactful coaching, ensuring your team learns from real interactions and continuously refines their skills for better outcomes.

4. Quality Assurance (QA) Automation

Manual QA draining your resources?

Relying on human reviewers for quality assurance is slow, prone to bias, and only covers a tiny fraction of your calls, leaving major blind spots.

Enthu.AI lets you build custom QA scorecards that the AI automatically applies to 100% of your calls. This fantastic solution automates repetitive scoring tasks by detecting predefined “Moments.” Your QA team can then focus on deeper analysis.

This means you achieve comprehensive, unbiased quality monitoring across all interactions, ensuring consistent service delivery and compliance without increasing workload.

5. Real-Time Agent Assist

Agents need help during, not after, calls?

Agents often struggle with tough questions or objections in real-time, missing opportunities because guidance arrives too late.

This premium Enthu.AI solution listens live and instantly pops up battle cards or compliance reminders on the agent’s screen. From my evaluation, the immediate context-aware guidance proves invaluable. This feature ensures agents are always prepared during a live interaction.

You empower your agents to handle any scenario confidently, leading to higher customer satisfaction and increased conversion rates from the very first call.

What I love about these Enthu.AI solutions is how they work together to create a complete conversation intelligence ecosystem, providing insights that transform coaching and quality. This cohesive platform enhances team performance and customer outcomes.

Enthu.AI Pricing

Enthu.AI pricing makes budgeting clear.

Enthu.AI pricing offers refreshing clarity. Unlike many competitors, their transparent, user-based model provides clear tiers, allowing you to easily understand and budget for conversation intelligence needs without hidden surprises.

Plan	Price & Features
Starter	$49 per user/month (billed annually) or $59 monthly • Call recording & transcription • AI-powered analysis • Sentiment analysis • Custom moment detection • Agent coaching tools
Growth	$69 per user/month (billed annually) or $89 monthly • Everything in Starter • Automated QA scorecards • Comprehensive analytics • HubSpot & Salesforce integration • Zapier integration
Enterprise	Custom Pricing • Everything in Growth • Real-Time Agent Assist • Advanced security compliance (SOC 2) • API access • Dedicated customer success manager

1. Value Assessment

Clear value for your money.

From my cost analysis, Enthu.AI provides competitive pricing often cited as a fraction of enterprise leaders like Gong. The user-based model ensures your pricing scales directly with your team size, meaning you only pay for what you actively use without hidden overage charges or unnecessary features.

This helps your budget remain predictable and efficient, allowing you to invest confidently in improving team performance without financial surprises.

2. Trial/Demo Options

Test before you invest.

Enthu.AI offers a valuable 14-day free trial, allowing you to fully explore its core features and see how it fits your operations. What I found helpful is how this trial provides real-world experience with transcription, analysis, and coaching tools, rather than just a limited demo environment.

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This lets you effectively evaluate the platform’s impact on your team before committing to any paid Enthu.AI pricing plan.

3. Plan Comparison

Matching plans to your needs.

The Starter plan is ideal for small teams beginning their conversation intelligence journey, offering core analysis tools. For growing teams, the Growth plan adds crucial automation like QA scorecards and CRM integrations. What stands out is how the Enterprise tier adds real-time agent assist for high-volume contact centers.

This tiered pricing structure ensures you can select a plan that precisely aligns your budget with actual usage requirements and advanced feature needs.

My Take: Enthu.AI’s transparent, user-based pricing is exceptionally competitive, making it an excellent choice for SMBs and mid-market companies seeking robust conversation intelligence without the hefty enterprise price tag.

The overall Enthu.AI pricing reflects transparent value without hidden surprises.

Enthu.AI Reviews

User feedback reveals the real story.

Delving into Enthu.AI reviews, I’ve analyzed countless user experiences to provide balanced insights. This section reveals what actual customers think, covering satisfaction, praise, and common pain points for your benefit.

1. Overall User Satisfaction

User sentiment is notably positive.

From my review analysis, Enthu.AI consistently earns high ratings, averaging 4.8/5 stars across over 250 combined reviews on platforms like G2 and Capterra. What I found in user feedback is a strong pattern of overall satisfaction, highlighting exceptional value and robust performance for its target market, especially SMBs.

This widespread satisfaction suggests you can expect a reliable, effective experience, making it a compelling choice for your conversation intelligence needs.

2. Common Praise Points

Users consistently love key aspects.

Review-wise, users frequently praise the exceptional customer support, often describing the team as “proactive” and a “true partner.” What stood out in customer feedback was how Enthu.AI’s ease of use allows managers to quickly adopt the platform without extensive training, saving valuable time.

This means your team can get started faster and receive dedicated assistance, significantly enhancing your implementation and ongoing success.

3. Frequent Complaints

Common user frustrations do emerge.

While overall positive, some Enthu.AI reviews mention areas for improvement. What I found in user feedback includes desires for minor UI/UX polish and more advanced reporting customization. Users occasionally note minor bugs are quickly addressed by the responsive support team, which mitigates impact.

These are typically minor issues, not deal-breakers, highlighting opportunities for future platform enhancements to refine your experience.

Overall, Enthu.AI reviews reflect a highly satisfied user base valuing support and ease of use. My analysis confirms strong credibility in user feedback patterns, suggesting a robust solution.

Best Enthu.AI Alternatives

Confused about which conversation intelligence platform fits best?

Finding the best Enthu.AI alternatives involves understanding your specific needs. What I found comparing options is that competitive solutions each cater to distinct business sizes, budgets, and operational focuses.

1. Gong.io

Revenue intelligence for large enterprises?

Gong is the undisputed market leader for large, mature sales organizations prioritizing deep revenue intelligence and forecasting. From my competitive analysis, Gong offers unparalleled revenue intelligence depth, though it comes with a significantly higher price point and complexity compared to Enthu.AI’s more focused approach. This alternative provides comprehensive analytics.

You should choose Gong if your primary goal is advanced revenue intelligence for a large enterprise sales team, where budget is flexible.

2. Chorus.ai

Already a heavy ZoomInfo user?

Chorus.ai, now integrated with ZoomInfo, is ideal if you’re already deeply embedded in ZoomInfo’s B2B data ecosystem. What I found comparing options is that Chorus enriches conversation data with ZoomInfo intelligence, providing a powerful synergy. This alternative leverages existing data investments for broader insights beyond Enthu.AI’s core.

Consider Chorus when you want to enrich conversation data with market-leading contact and company intelligence from ZoomInfo.

3. Observe.AI

Focused on large contact center operations?

Observe.AI is specifically designed for large-scale contact centers (100+ agents) emphasizing compliance, agent performance, and workforce management automation. Alternative-wise, Observe.AI delivers advanced QA and operational efficiency for high-volume environments. It prioritizes operational analytics over individual sales coaching, differentiating it from Enthu.AI’s sales-focused value.

Choose Observe.AI if you manage a large contact center where compliance, automated QA, and operational efficiency are critical.

4. Salesken.ai

Need real-time sales call guidance?

Salesken.ai primarily excels with its real-time sales assistant, providing live cues and on-the-fly guidance directly to sales representatives during calls. For your specific needs, Salesken focuses on immediate in-call assistance, which is its standout feature. This alternative can be highly impactful if real-time coaching during live conversations is your top priority.

You’ll want to consider Salesken when your main objective is improving live sales conversations with direct, real-time agent assistance.

The best Enthu.AI alternatives depend on your specific business scenario and budget, rather than just feature comparisons. Carefully evaluate each based on your priorities.

Setup & Implementation

How complex is Enthu.AI deployment?

In this Enthu.AI review, deploying this conversation intelligence platform is surprisingly straightforward. You’re looking at a user-friendly setup that minimizes typical integration headaches and gets your team productive fast.

1. Setup Complexity & Timeline

Expect an unusually fast rollout.

Enthu.AI implementation is described by users as “easy” and “fast,” typically taking just a few days. My analysis shows that you can expect quick deployment by integrating with your existing dialer, meeting platforms, and CRM. The process is streamlined for rapid onboarding without extensive configuration.

Plan for just a few days to connect existing tools. Your team will be productive swiftly, requiring minimal pre-work beyond basic account setup.

2. Technical Requirements & Integration

Minimal tech hurdles await.

Enthu.AI is cloud-based SaaS, requiring no on-premise hardware. Your key requirement involves using compatible VoIP, CRM, or meeting platforms. What I found about deployment is that its native integrations cover core needs, while Zapier offers broader connectivity.

Ensure existing communication and CRM tools are compatible. You’ll avoid major IT infrastructure changes, making your technical preparation relatively light.

3. Training & Change Management

Simple adoption for your team.

The platform’s intuitive design ensures a minimal learning curve for your team. You’ll find Enthu.AI’s onboarding support particularly helpful for configuring features and building scorecards. From my analysis, user-friendliness boosts quick team adoption, minimizing workflow resistance.

Leverage their hands-on support for training managers. Emphasize the platform’s ease of use to encourage rapid team buy-in and streamline change management efforts.

4. Support & Success Factors

Vendor support is a game-changer.

Enthu.AI’s post-implementation support is frequently praised as “world-class,” helping with setup, issues, and feature requests. My findings show their team is highly responsive. Implementation-wise, proactive and responsive support ensures long-term success, making them feel like a true partner.

Prioritize consistent engagement with their support team. Your ongoing success depends on leveraging their expertise and quick problem-solving for optimal platform use.

Overall, Enthu.AI implementation is one of the more user-friendly deployments you’ll encounter, especially for SMBs. Its intuitive design and strong support mean quick value for your team and minimal setup headaches.

Who’s Enthu.AI For

Wondering if Enthu.AI fits your business?

This Enthu.AI review section helps you quickly assess if this software aligns with your specific business profile. I’ll break down ideal team sizes, operational scenarios, and use cases where Enthu.AI truly shines for users.

1. Ideal User Profile

Automate call reviews and elevate coaching?

Enthu.AI is ideal for sales managers, contact center supervisors, and QA leads aiming to automate call reviews. What I found about target users is that you need actionable insights without complexity to improve agent performance and streamline quality assurance processes daily.

You’ll achieve significant success if your goal is efficient coaching and a desire to transform manual review into an automated workflow.

2. Business Size & Scale

Scaling your SMB or mid-market team?

This software is perfect for Small to Medium-sized Businesses (SMBs) and mid-market companies. Your business thrives if you have teams ranging from 5 to 200 agents, as it avoids enterprise-level cost and complexity. User-wise, it hits the sweet spot for growing operations.

You’ll know it’s a good fit if you need powerful conversation intelligence without the overwhelming overhead of larger, pricier platforms.

3. Use Case Scenarios

Automating QA and improving agent performance?

Enthu.AI excels when your primary goals are improving agent coaching and streamlining the QA process. From my user analysis, it’s a game-changer for automating call analysis in sales or customer support teams. It transforms manual review into efficient, data-driven feedback.

If you’re tired of manual call reviews and need an accessible, effective way to analyze customer conversations, this aligns perfectly.

While we’re discussing improving agent performance, exploring efficient call transfer software can also significantly boost productivity.

4. Who Should Look Elsewhere

Complex integrations or extensive real-time needs?

If you’re a large enterprise requiring deep, native integration with complex revenue operations workflows, Enthu.AI might not be your ideal fit. Your business needs more robust, highly customizable analytics for a large data science team or a standalone real-time guidance tool.

Consider enterprise-grade platforms like Gong or Chorus if your operational scale demands extensive customization and broader, deeper integrations.

Ultimately, your ideal Enthu.AI review hinges on whether you prioritize intuitive usability and strong support over sprawling enterprise features. This solution perfectly suits businesses focused on streamlining call analysis and coaching.

Bottom Line

Enthu.AI: Your Verdict Awaits.

This Enthu.AI review synthesizes my comprehensive analysis, offering a decisive recommendation to guide your software evaluation with confidence. I’ll highlight its key strengths, honest limitations, and ideal fit.

1. Overall Strengths

Enthu.AI’s strengths truly shine.

The software excels by delivering an incredibly supportive and user-friendly experience. From my comprehensive analysis, Enthu.AI makes advanced conversation intelligence accessible and easy for SMBs and mid-market teams, significantly enhancing agent performance and streamlining quality assurance processes without extensive training requirements.

These strengths translate into faster adoption and tangible productivity gains, offering genuine value for your business operations and improving customer outcomes.

2. Key Limitations

Consider these limitations carefully.

While highly functional, some users note the interface could benefit from further modern polish. Based on this review, more advanced and customizable reporting options are also desired for deeper insights, alongside occasional minor bugs quickly addressed by support.

These limitations are mostly minor polish points rather than critical flaws, often outweighed by the platform’s overall value and responsiveness.

3. Final Recommendation

My clear recommendation emerges.

You should choose Enthu.AI if you’re an SMB or mid-market company seeking robust, affordable conversation intelligence for sales and support. My analysis reveals it provides significant value without the enterprise price tag, making it ideal for teams prioritizing actionable insights over exhaustive customization options.

My confidence level is high for this target audience, suggesting a personalized demo or free trial is your ideal next step.

This Enthu.AI review demonstrates strong confidence in its value proposition for businesses seeking an effective conversation intelligence solution. I encourage you to explore its capabilities firsthand.