Pricing - evaluagent

Pricing that flexes with humans and AI agents.

Looking for a ballpark figure to get you started? Take a look at our transparent pricing structure below, then request a tailored quote.

For Human Agents

Seat-based pricing for your team.

Volume Discounts are available for large teams. Please get in touch.

AutoQM & Improvement

Increase coverage and drive performance improvement

from $35

per user / month

What's included

Voice transcription & multi-language support
Build custom scorecards
Automated QA scoring on 100% of conversations
Coaching workflows & performance dashboards
evaluagent Context Engine™
SSO, MFA & role-based access control
Dedicated CSM & onboarding

AutoQM + Conversation Intelligence

Automate Quality and discover unknown unknowns with our full conversation intelligence suite

from $65

per user / month

Everything in AutoQM, plus

Automated Reason For Contact & Intent
Spotlight and Summarisation
Insight topics & theme detection
Sentiment analytics & trend tracking
Predictive Voice of the Customer Metrics (xNPS, xResolution, xCSAT etc.)
xVulnerability
Build your own Topics

Add per-conversation pricing on top.

Running AI Agents?

AI agents don't sit in seats, they handle volume. So we price them by the conversation, not the licence.

AutoQM for AI Agents

Independent quality scoring on every AI agent conversation.

from $0.05

per conversation

Full Bundle for AI Agents

AutoQM + Conversation Intelligence on AI agent traffic.

from $0.13

per conversation

Please note. AI agent pricing sits on top of a seat tier. Your team needs the platform to review, calibrate, and act on what we surface. Conversations that start with a Bot (ie: IVR), but end with a human are covered by your seat licence at no extra charge.

Full feature breakdown

Compare what's included.

Every capability below applies to both human and AI agent conversations. The only thing that changes is how it's priced — seats for humans, conversations for AI agents.

Quality Assurance & Scoring

AutoQM scoring Automated scoring on 100% of conversations
Custom scorecards Build scorecards for any team or use case
Manual review & calibration Human-in-the-loop review and calibration sessions
SmartScore AI line items AI scores qualitative line items with reasoning
Fabrication detection Flag bot responses that hallucinate or invent information
Auto-publish & auto-fail rules Configurable rules for routing scored conversations

Conversation Intelligence

Insight topics Detect themes and trends across conversation volume
Sentiment analytics Conversation-level sentiment scoring and trend tracking
Reason for contact detection Automatic categorisation of why customers got in touch
Voice-of-customer reporting Aggregate insight dashboards for cross-functional teams
Conversation summarisation AI-generated summaries of every interaction

Transcription & Audio

Voice transcription Speech-to-text on imported voice conversations
Speaker diarisation Separate speakers in transcripts (agent / customer)
Multi-language support Transcription across major European, Asian and Latin American languages
Custom vocabulary Improve accuracy on brand and industry terms
Audio playback & transcript sync Synchronised audio scrubbing alongside transcript

Performance Management & Coaching

Agent performance dashboards Individual and team-level performance views
Coaching workflows Assign, deliver and track coaching sessions
Goals & gamification Set targets, track progress, run leaderboards
Quality of feedback (QoF) Track the quality of evaluator feedback itself
Agent feedback loop Two-way feedback acknowledgement and dispute

AI Agent Observability

Bot QA scoring Independent quality scoring on every AI agent conversation
Containment analysis Track resolution rates and where bots succeed or fail
Handover tracking Visibility into when, why and how bots escalate to humans
Bot failure modes Surface dropped intents, dead-ends and customer frustration
Quality-to-improvement loop Feed insights back into bot training and prompt tuning

Integrations

Contact centre platforms Genesys Cloud, NICE CXone, Five9, Talkdesk, Amazon Connect, RingCentral, Zoom CC, Aircall and more
CRM & helpdesk Salesforce, HubSpot, Zendesk, Freshdesk, Intercom, Kustomer, Zoho
Workforce management Assembled, Peopleware (Injixo)
File-based & bulk import OneDrive, SFTP, bulk file upload
REST API & webhooks Programmatic access for custom workflows

Security, Privacy & Compliance

SSO & MFA SAML SSO and multi-factor authentication on all plans
PII redaction & entity recognition Automatic detection and masking of sensitive data in transcripts
Custom redaction rules Define organisation-specific patterns for sensitive data
Role-based access control Granular permissions across teams and functions
Audit log Full audit trail for compliance review
SOC 2 Type II & GDPR Independent attestation and EU data protection compliance
Data residency options EU and US hosting available

Support & Customer Success

Dedicated CSM Named Customer Success Manager
Onboarding & implementation Structured deployment programme
Product training & enablement Live sessions and on-demand learning
In-app support Direct support through the platform
Quarterly business reviews Strategic review and roadmap alignment

Pricing FAQ

Questions buyers ask before they sign.

Why seats for humans but per-conversation for AI agents?

Human agents have a finite capacity, so seat-based licences still makes sense. AI agents handle elastic, often unpredictable volume. Pricing per conversation means you pay for what you actually need to review, not for theoretical capacity. If you would like to explore a pure-consumption based model, please mention this to our team.

How can I get a discount?

We offer discounts for larger contact centres or businesses that are happy to make a longer term commitment so please ask.

Can I try evaluagent before purchasing?

Absolutely. We understand that when investing in AI-powered QA, you want confidence that the platform will work with your conversations, your scorecards, and your quality standards — not just generic examples.

That’s why we’re happy to discuss a proof of concept (POC) following a successful demo. This gives you the opportunity to see how evaluagent performs using real interactions and evaluation criteria relevant to your organisation.

During a POC, we can help you:

Test AI accuracy against your existing scorecards
Review how evaluations align with your QA standards and expectations
Explore prompting approaches and configuration options
Validate workflows, alerts, and reporting in a real-world environment
Understand how evaluagent can support your specific operational goals

Our team will work closely with you throughout the process to ensure the setup reflects your organisation’s approach to quality assurance and compliance.