Quick Answer
Last verified:
High confidence

CSAT.AI (AI quality assurance) costs $20 to $20 per agent / month as of July 2026, with 2 plans available. Plan: Growth at $20/agent / month. Enterprise pricing is available on request. Pricing depends on your chosen tier, contract length, and negotiated discounts.

Use the interactive pricing calculator to estimate your exact cost based on team size and requirements.

  • Free tier: No free tier available

CSAT.AI (AI quality assurance) offers 2 pricing tiers: Growth, Enterprise. Paid plans include Growth at $20/agent / month.

Last verified: | Sources: 1 pricing pages and reviews
Know Before You Buy — See CSAT.AI (AI quality assurance) Plans

CSAT.AI (AI quality assurance) lists $20-$20/agent / month, but hidden costs like implementation and support add to the total as of July 2026. Key hidden costs: integration services, data collection, cleaning, and labeling, training programs and change management. Verified from 1 sources by CostBench.

Hidden Costs Breakdown

1

Integration Services

high implementation

Connecting AI QA platforms with existing CRM, CCaaS, and other legacy systems often requires custom APIs and compatibility fixes, incurring ongoing maintenance.

industry

Integration Services: Connecting AI QA platforms with existing CRM, CCaaS, and other legacy systems often requires custom APIs and compatibility fixes, which can surface months after initial implementation and incur ongoing maintenance requirements

2

Data Collection, Cleaning, and Labeling

high implementation

Acquiring, cleaning, and manually labeling vast datasets for AI models can be a substantial hidden cost, with large AI teams spending hundreds of hours on labeling alone.

industry

The process of acquiring, cleaning, and manually labeling vast datasets (e.g., millions of transaction samples for fraud detection AI) can be a substantial hidden cost, with large AI teams spending hundreds of hours on labeling alone

3

Training Programs and Change Management

medium training

Continuous training for agents and QA teams on new AI-driven workflows and insights, along with change management activities, is crucial for successful adoption.

industry

Change management activities are also necessary to ensure successful adoption

4

Model Maintenance and Optimization

high support

AI models require regular retraining, performance monitoring, and optimization as data evolves, along with investments in underlying infrastructure for scaling, redundancy, and disaster recovery.

industry

The underlying infrastructure also needs to scale, demanding investments in redundancy and disaster recovery

5

Ongoing Platform Subscriptions and System Maintenance

medium support

While often part of visible costs, these can escalate if not carefully managed, especially with usage-based pricing models.

industry

Ongoing Platform Subscriptions and System Maintenance: While often part of the visible costs, these can escalate if not carefully managed, especially with usage-based pricing models

6

Engineering Resources

high implementation

Some platforms may require significant developer involvement for setup and ongoing optimization, potentially taking 3 to 6 months for implementation.

industry

Engineering Resources: Some platforms, particularly enterprise AI agent deployments, may require significant developer involvement for setup and ongoing optimization, potentially taking 3 to 6 months for implementation

7

Overage Rates

medium overage

Exceeding committed volumes can lead to additional charges.

industry

Overage Rates: Exceeding committed volumes can lead to additional charges

Now You Know the Real Cost — See CSAT.AI (AI quality assurance) Plans

Check current CSAT.AI (AI quality assurance) pricing

Prices and terms change; verify against the live pricing page.

See CSAT.AI (AI quality assurance) Pricing