If you’ve landed on Enthu.AI’s pricing page expecting prices, you found a feature list with no dollar figures, a “Talk To Us” button where the pricing table should be, and contract terms locked behind a sales conversation. Quote-based pricing can feel less like buying and more like a negotiation you didn’t sign up for.
Enthu.AI uses AI agents to automate call transcription, quality scoring, sentiment analysis, and post-call workflows for mid-market contact centers. The platform targets QA teams tired of reviewing only 2–5% of calls manually, promising 100% automated call coverage with deployment in hours, not months. But its pricing model creates a problem for buyers: no published per-seat rates, no feature comparison between plans, and semi-annual or annual billing as the only options.
We analyzed Enthu.AI’s pricing structure, features, and contract terms. It’s the right choice if:
- You’re a mid-market contact center (roughly 10–200 agents) that needs fast deployment
- Your main goal is automating manual call QA with AI scorecards on voice interactions
- You want support with a dedicated account manager from day one
- Your telephony stack is covered by Enthu.AI’s 30+ integrations (Five9, NICE CXone, Talkdesk, Genesys, RingCentral, and others)
- You’re comfortable negotiating pricing through a sales process
However, Enthu.AI might not be the right choice if:
- You need published pricing to build a business case without a sales call
- Your QA program needs coaching, gamification, and performance improvement in the same platform
- You’re evaluating AI chatbots alongside human agents and need unified quality oversight
- You need coverage across voice, chat, and email from day one
- Your organization requires certifications beyond SOC 2 Type II (ISO 27001, HIPAA, Cyber Essentials Plus, EU AI Act readiness)
In this case, consider evaluagent: a QA and performance improvement platform that publishes its pricing, scores 100% of interactions across voice, chat, and email, and connects evaluations to coaching workflows, gamification, and agent development plans in one system.
We’ve included a detailed pricing comparison with evaluagent in this review. If you want to jump straight to the evaluagent breakdown, use this link.
Enthu.AI Pricing Summary
| Enthu.AI | evaluagent | |
|---|---|---|
| Free Trial | 14-day free trial, no credit card required; 30-day PoC available | No self-serve trial; 30-minute tailored demo; trials arranged on request |
| Paid Plans | Custom quote-based pricing; no published per-seat rates; single feature set listed | AutoQM & Improvement: From $35/user/month; AutoQM + Conversation Intelligence: From $65/user/month |
| Billing | Semi-annual or annual commitment required | Negotiated per Order Form; volume discounts available |
| Channel Coverage | Voice calls only; chat and messaging listed as coming soon | Voice, chat, and email scored on one platform |
| AI Agent QA | Not available | From $0.05/conversation (AutoQM); $0.13/conversation (Full Bundle) |
| Certifications | SOC 2 Type II, GDPR | SOC 2 Type II, ISO 27001, HIPAA, Cyber Essentials Plus, GDPR, EU AI Act Ready |
| Best For | Mid-market contact centers (10–200 agents) wanting fast AI call QA with dedicated support | Contact centers needing unified QA, coaching, and AI agent governance with published pricing across voice, chat, and email |
Enthu.AI Pricing: In-Depth Overview
Enthu.AI uses a custom, quote-based pricing model with no public per-seat or per-minute rates.
The pricing page lists one set of capabilities next to “Talk To Us” and “Take A Sneak Peek” buttons, but shows no dollar figures, no plan tiers, and no feature comparison. All plans run on semi-annual or annual billing. Here is what is publicly known about trial access, included features, contract terms, and additional costs.
Enthu.AI Free Trial: 14 Days, No Credit Card Required
| Feature | Details |
|---|---|
| Duration | 14-day free trial |
| Credit Card | Not required |
| PoC Option | 30-day Proof of Concept available |
| Feature Access | Full platform |
| Refund Window | Fees paid during trial are refundable per Terms of Service |
Enthu.AI offers a 14-day free trial with no credit card required, giving buyers access to the full platform for initial testing. A longer 30-day Proof of Concept is available for teams that need more time to validate transcription accuracy and scoring logic against their own call data. The PoC matters: it lets QA teams run real evaluations before committing to a contract.
| Free Trial Pros | Free Trial Cons |
|---|---|
| – No credit card required to start | – No permanent free plan |
| – Full platform access for testing | – 14 days may not surface all edge cases |
| – 30-day PoC for deeper validation | – Must contact sales to continue after trial |
| – Refund window during trial period | – Trial-to-paid transition requires contract negotiation |
Enthu.AI Paid Plans: Custom Pricing (Quote Required)
| Feature | Included |
|---|---|
| Price | Custom (contact sales) |
| Call Transcript | AI-powered transcription with speaker labels and timestamps |
| AI Summary | Customizable, auto-generated |
| Sentiment Analysis | Conversation-level emotion detection |
| Custom Scorecard | Configurable evaluation criteria |
| Auto Call Sampling | Automated call selection for review |
| Auto Scorecard Evaluation | AI-powered scoring of 100% of calls |
| QA Workflow | Calibration, coaching, and feedback tools |
| Custom Reporting | Power BI-based reports |
| Integrations | 30+ telephony, CRM, and helpdesk connectors |
| Support | Guided onboarding, priority support, dedicated account manager |
Unlike platforms that gate features behind tiers, Enthu.AI’s pricing page lists one set of capabilities on all paid plans: call transcription, AI summaries, sentiment analysis, custom scorecards, auto call sampling, automated scorecard evaluation, QA workflow (calibration and coaching), and custom reporting. Every paid plan includes guided onboarding, priority support, and a dedicated account manager.
No published pricing, feature tiers, or agent-count brackets exist. Buyers cannot determine costs without a sales conversation. How Enthu.AI segments pricing (by team size, feature access, or AI capability) is not publicly stated.
| Paid Plans Pros | Paid Plans Cons |
|---|---|
| – All listed features included on every plan | – No published pricing |
| – Dedicated account manager on all paid plans | – Cannot model costs without a sales call |
| – 30+ integrations for major telephony and CRM platforms | – Semi-annual or annual commitment required |
| – 100% automated call scoring replaces manual sampling | – No feature comparison matrix to evaluate tiers |
Enthu.AI Contract Terms and Billing
| Term | Details |
|---|---|
| Billing Cycle | Semi-annual or annual |
| Cancellation | Email account manager; confirmed within 24–48 hours |
| Effective Date | End of current billing cycle; no refund for remaining period |
| Invoice Disputes | Must be raised within 10 calendar days |
| Refunds | Only for trial-period fees, duplicate payments, or charges after cancellation |
Enthu.AI’s contract terms deserve close reading before you sign. The pricing page says all plans bill semi-annually or annually, while the Terms of Service reference monthly or yearly billing charged on the registration anniversary. This inconsistency means buyers should confirm billing frequency during the sales process.
Cancellation requires emailing the account manager rather than self-serving through the platform, with confirmation within 24–48 hours. The Terms of Service describe a different path: termination “at any time directly from Your Enthu.AI account” or by email. Either way, cancellation takes effect at the end of the billing cycle with no refund for the remaining period. Invoice disputes face a strict window: 10 calendar days from issuance, after which the right to dispute is permanently waived.
| Contract Terms Pros | Contract Terms Cons |
|---|---|
| – Semi-annual option shorter than annual-only contracts | – No month-to-month billing available |
| – Cancellation confirmed within 24–48 hours | – No refund for remaining billing period |
| – Quick setup reduces wasted contract time | – 10-day invoice dispute window is narrow |
| – 14-day trial refund window for initial fees | – Conflicting terms between pricing page and ToS |
Enthu.AI Additional Costs and Hidden Fees
Beyond the undisclosed base pricing, Enthu.AI’s Terms of Service reveal additional costs that surface only during contract review:
Taxes and Late Payments:
- GST, VAT, and local taxes charged separately on top of plan fees
- Late payment fees of 5% per month on delayed balances
- Collection costs up to 18% if the account goes to a third-party collector
Data and Compliance Costs:
- Unused credits are forfeited at termination with no refund
- Customers pay reasonable costs for security audits beyond one per 12-month period
- Administrative fees may apply for handling law enforcement data requests
- DPIA assistance fees for Data Protection Impact Assessments outside normal scope
| Additional Costs Pros | Additional Costs Cons |
|---|---|
| – No published implementation or onboarding fees | – Local taxes added on top of plan fees |
| – Guided onboarding included in all plans | – 5% monthly late fee is steep |
| – No transaction fees on platform usage | – Unused credits are forfeited, not rolled over |
| – Annual penetration testing included | – Collection fees up to 18% on outstanding balances |
Where Enthu.AI Falls Short
Enthu.AI delivers capable call QA with fast deployment and dedicated support, but its pricing opacity, feature gaps, and platform maturity create challenges for buyers comparing alternatives:
No Published Pricing Creates Evaluation Friction
- The pricing page lists no dollar figures, no tier names, and no feature comparison
- Buyers cannot build a business case or compare costs without entering a sales process
- Contract terms between the pricing page and Terms of Service conflict on billing frequency and cancellation mechanics
No Coaching or Performance Management Workflow
- Enthu.AI surfaces coaching moments through AI scoring and provides a Call Library with playlists and snippets for agent review
- But it has no built-in 1-to-1 session management, formal performance improvement plans, or gamification
- Managers must track coaching outcomes and agent development outside the platform
Voice-Only Channel Coverage
- The platform focuses on voice calls, with no live chat or email QA
- The RTA Agent referencing “voice and chat” is listed as “coming soon” with no confirmed launch date
- Contact centers handling chat or email volume alongside voice need separate tools
Reporting Lacks Granular Drill-Down
- G2 and Capterra reviewers note limited drill-down by campaign or agent sub-group
- Reporting works at aggregate levels but may fall short for teams with complex organizational structures
- Performance can slow under high call volumes, compounding reporting limitations at scale
These limitations have led many contact center leaders to explore platforms that offer both transparent pricing and a quality-to-coaching workflow in a single system…
Best Enthu.AI Alternative: evaluagent
evaluagent delivers AI-powered quality assurance and performance improvement in one platform, with published pricing and coverage across voice, chat, and email.
For contact centers that find Enthu.AI’s pricing opaque, its coaching limited, and its channel coverage restricted to voice, evaluagent offers a direct answer: published per-user pricing starting at $35/month, a workflow connecting AI scoring to coaching and gamification, and evaluation across voice, chat, and email.
Founded in 2012 by three operators who spent their careers running contact centers, evaluagent evolved from a manual QA tool into an AI-powered platform backed by $20 million from PeakSpan Capital that scores 100% of conversations automatically and connects every score to agent development actions. The platform serves customers including Samsung, Jet2, Capital on Tap, 1st Central, and Seasalt, and ranked #17 in G2’s Top 50 UK Software Companies 2026 (the only contact center software on the list).
evaluagent excels for contact centers that need QA, coaching, and performance management in one system, for teams deploying AI chatbots that need independent quality oversight, and for regulated industries requiring certifications beyond SOC 2 Type II.
Capital on Tap scaled from 900 to 6,000 BDM checks per month after go-live without adding headcount. (Capital on Tap Case Study)
evaluagent AutoQM & Improvement: From $35/user/month
| Feature | Details |
|---|---|
| Price | From $35/user/month |
| Scoring | 100% automated across voice, chat, and email |
| Scorecards | Drag-and-drop builder with auto-fail logic and blended AI/human scoring |
| Context Engine | AI scoring grounded in your policies, knowledge base, and compliance rules |
| Coaching | Structured 1-to-1s, performance plans, gamification with reward auctions |
| Security | SOC 2 Type II, ISO 27001, HIPAA, Cyber Essentials Plus, EU AI Act Ready |
Where Enthu.AI hides its pricing behind a sales process, evaluagent’s entry tier starts at $35 per user per month with volume discounts for larger teams.
This tier includes the Context Engine that grounds AI scoring in your company’s own policies and knowledge base, blended scorecards mixing AI and human evaluation on the same scorecard, and a performance improvement workflow: coaching sessions tied to specific conversation evidence, performance plans with audit trails, and gamification with points, badges, leaderboards, and a reward auction.
The tier also includes features Enthu.AI offers (voice transcription, custom scorecards, automated scoring) plus capabilities it does not: calibration sessions for keeping human and AI scoring aligned, agent disputes for formal score challenges that feed back into model accuracy, and a built-in LMS with auto-enrollment triggered by performance metrics.
| AutoQM & Improvement Pros | AutoQM & Improvement Cons |
|---|---|
| – Published pricing at $35/user/month | – No conversation intelligence analytics at this tier |
| – 100% scoring across voice, chat, and email | – Volume discount thresholds not published |
| – Coaching, gamification, and performance plans included | – Requires existing CCaaS or helpdesk (not standalone) |
| – Context Engine for knowledge-grounded scoring | – Configuration may take a few weeks for complex deployments |
evaluagent AutoQM + Conversation Intelligence: From $65/user/month
| Feature | Details |
|---|---|
| Price | From $65/user/month |
| Everything in AutoQM & Improvement | Included |
| Reason for Contact Detection | Automated intent classification across all interactions |
| Predictive Metrics | xNPS, xCSAT, xResolution, xVulnerability |
| Spotlight | On-demand AI analyst investigating up to 1,000 conversations |
| Custom Topics | No-code builder with testing console |
The full bundle adds evaluagent’s Conversation Intelligence suite on top of AutoQM scoring and coaching.
This includes automated reason-for-contact detection across every interaction, predictive customer satisfaction metrics derived from conversation signals rather than survey responses, and Spotlight: an on-demand AI analyst that investigates up to 1,000 conversations and returns prioritized findings organized into Critical Issues, Monitor Closely, and Performing Well categories.
While Enthu.AI’s CSAT Agent (EnthuSatisfy) predicts customer satisfaction from conversation signals, evaluagent’s conversation intelligence goes further with intent detection, vulnerability identification, repeat contact tracking, and topic discovery that surfaces operational trends beyond individual call scores.
| AutoQM + Conversation Intelligence Pros | AutoQM + Conversation Intelligence Cons |
|---|---|
| – Predictive xNPS/xCSAT across 100% of contacts | – $65/user/month is a higher investment |
| – Spotlight AI analyst for root-cause investigation | – Requires active engagement to deliver full ROI |
| – No-code custom topic builder with testing console | – Full configuration takes time to tune |
| – Voice-of-customer dashboards for cross-functional teams | – Negotiated contract terms |
Seasalt Cornwall doubled evaluations and reduced agent attrition from 100% to 10% year-on-year using evaluagent’s coaching and performance improvement features. (Seasalt Case Study)
evaluagent AI Agent Observability: From $0.05/conversation
| Feature | Details |
|---|---|
| AutoQM for AI Agents | From $0.05/conversation |
| Full Bundle for AI Agents | From $0.13/conversation |
| Bot QA Scoring | Independent quality scoring using the same scorecard as human agents |
| Fabrication Detection | Grounded in your knowledge base, not generic model confidence |
| Cross-Vendor Scoring | Cognigy, Sierra, Decagon, and proprietary bots |
| Handover Tracking | Quality analysis of bot-to-human transitions |
| Prerequisite | Requires a seat tier (AutoQM or Full Bundle) |
evaluagent’s AI Agent Observability module has no equivalent in Enthu.AI’s current product.
It evaluates every AI chatbot conversation against the same quality standard applied to human agents, with fabrication detection grounded in the organization’s own knowledge base rather than generic model confidence scores. The module surfaces off-policy responses, containment failures, and failed handovers before they reach a regulator or damage the customer relationship.
| AI Agent Observability Pros | AI Agent Observability Cons |
|---|---|
| – Independent quality scoring for AI bots | – Requires a seat tier as prerequisite |
| – Fabrication and hallucination detection | – Per-conversation pricing adds up at high volume |
| – Cross-vendor scoring (not tied to one bot platform) | – Newer product line with limited published case studies |
| – Vendor-portable quality history | – Cannot be purchased standalone |
Enthu.AI Feature Value Breakdown (vs evaluagent)
Pricing Transparency and Cost Predictability
Enthu.AI’s Approach: Enthu.AI uses custom, quote-based pricing with no published dollar figures.
The pricing page lists capabilities but provides no tiers, no per-seat rates, and no feature comparison. Contracts require semi-annual or annual commitment, and the Terms of Service reference billing cycles that conflict with the pricing page. Cancellation requires emailing the account manager and takes effect at the end of the billing cycle with no refund.
evaluagent’s Approach: evaluagent publishes its pricing directly: $35/user/month for AutoQM & Improvement, $65/user/month for the full bundle, and $0.05–$0.13 per conversation for AI agent scoring. Volume discounts are available for larger teams. QA leaders can model costs by team size without a sales conversation.
QA Coverage and Channel Breadth
Enthu.AI’s Approach: Enthu.AI monitors 100% of voice calls with AI auto-scoring, replacing the 2–5% manual sampling model.
The platform has 30+ integrations spanning major dialers and CCaaS platforms, including Five9, NICE CXone, Talkdesk, and Genesys. But it is voice-only. Chat and messaging analysis is listed with the “coming soon” RTA Agent, but omnichannel coverage is not yet live.
evaluagent’s Approach: evaluagent scores 100% of interactions across voice, chat, and email from one platform.
Voice transcription includes multi-language support and custom vocabulary tuning. Chat and email interactions from Zendesk, Intercom, Freshdesk, and Salesforce are imported and evaluated using the same scorecard framework, giving consistent quality measurement regardless of channel.
Coaching and Performance Improvement
Enthu.AI’s Approach: Enthu.AI identifies coaching opportunities through AI scoring and provides a Call Library with playlists for agent self-coaching.
Managers can create playlists of exemplary calls, share snippets, and tag calls for review. The platform reports 60% average improvement in agent scores and 55% faster ramp-up time. But coaching stops at call surfacing and playlist sharing. There are no built-in 1-to-1 session tools, performance improvement plans with audit trails, or gamification.
evaluagent’s Approach: evaluagent connects AI scoring directly to a coaching workflow that includes 1-to-1 session management tied to specific conversation evidence, performance improvement plans with full audit trails, gamification with points, badges, leaderboards, and a reward auction, a built-in LMS with auto-enrollment triggered by performance metrics, and agent dispute mechanisms that let agents formally challenge scores. This creates a loop from score to improvement to measurable outcome.
The Share Centre cut evaluation time from 24 minutes to 6 minutes (a 285% increase in QA productivity), while pass rates rose from 73% to 85%. (The Share Centre Case Study)
Security and Compliance Certifications
Enthu.AI’s Approach: Enthu.AI holds SOC 2 Type II certification, is GDPR compliant with a published DPA, and uses AES-256 encryption at rest and in transit.
The platform includes automated PII, PCI, and PHI redaction and conducts annual penetration testing. However, the security page states hosting on Google Cloud Platform while the DPA sub-processor appendix names AWS as the hosting sub-processor. HIPAA BAA availability is not confirmed in official sources.
evaluagent’s Approach: evaluagent holds more certifications: SOC 2 Type II, ISO/IEC 27001:2022 (UKAS-accredited), Cyber Essentials Plus, GDPR, HIPAA, and EU AI Act readiness. The platform runs on AWS with in-region data centers across EU, North America, and Australia for data sovereignty. SSO, MFA, and role-based access controls are included at both paid tiers, not gated to enterprise plans.
Final Verdict: Enthu.AI vs evaluagent
The choice between Enthu.AI and evaluagent depends on your team size, channel mix, and how far beyond scoring your QA program needs to reach.
Enthu.AI is a call quality platform built for mid-market contact centers that prioritize fast deployment and dedicated support.
With a 14-day free trial, 30+ telephony integrations, and AI agents covering transcription, scoring, sentiment analysis, and post-call automation, it moves QA teams from sampling to 100% call coverage in hours. This approach works best for teams with 10–200 agents focused on voice calls, organizations that want a dedicated account manager, and QA leaders who need a focused scoring tool without full performance management overhead.
evaluagent is a QA and performance improvement platform built on the principle that scoring conversations is only half the job.
By publishing its pricing (from $35/user/month) and connecting 100% automated scoring across voice, chat, and email to coaching workflows, gamification, performance plans, and AI agent governance, it gives contact centers what they need to turn quality data into measurable agent improvement.
This makes it the stronger choice for contact centers operating across multiple channels, teams deploying AI chatbots that need independent quality oversight, and regulated organizations requiring certifications beyond SOC 2 Type II.
Get started with evaluagent here.
The difference is not just pricing transparency; it’s scope. Enthu.AI asks “How can we score every call with AI?” evaluagent asks “How can we turn every scored interaction into better agent performance?”