A no-code platform for company-grounded AI agents and production business workflows
Who should use this?
Operations teams building governed workflows and Knowledge-heavy service businesses.
Who should avoid it?
Buyers requiring transparent self-serve pricing, Unsupervised high-stakes workflows
What problem does it solve?
Cassidy combines knowledge, agents, workflows, approvals, and integrations, but opaque paid pricing, credit economics, source freshness, permissions, and exception handling determine production value.
Would I recommend it?
Cassidy AI earns a shortlist for operations teams that want business-grounded automation and visible approval controls without building an orchestration stack. Do not buy from the demo alone: validate source freshness, exception handling, credit consumption, and the full business quote.
Advisor score
Premium review framework
Cassidy combines knowledge, agents, workflows, approvals, and integrations, but opaque paid pricing, credit economics, source freshness, permissions, and exception handling determine production value.
Cassidy AI earns a shortlist for operations teams that want business-grounded automation and visible approval controls without building an orchestration stack. Do not buy from the demo alone: validate source freshness, exception handling, credit consumption, and the full business quote.
Build one reversible document-intake or support-triage workflow with approved dummy data. Seed stale documents, conflicting instructions, permission failures, model errors, and a required human decision. Measure accepted outputs, unsafe actions prevented, escalations, correction time, retry behavior, credit cost, audit quality, and rollback.
Personal Recommendation
Cassidy AI earns a shortlist for operations teams that want business-grounded automation and visible approval controls without building an orchestration stack. Do not buy from the demo alone: validate source freshness, exception handling, credit consumption, and the full business quote.
Try the recommendation
Strong workflow-control feature set
Overall Score
Editorial Review Framework
Who should use this?
Operations teams building governed workflows, Knowledge-heavy service businesses, No-code builders needing approval steps.
Who should avoid it?
Buyers requiring transparent self-serve pricing, Unsupervised high-stakes workflows
What problem does it solve?
Cassidy combines knowledge, agents, workflows, approvals, and integrations, but opaque paid pricing, credit economics, source freshness, permissions, and exception handling determine production value.
Would I recommend it?
Cassidy AI earns a shortlist for operations teams that want business-grounded automation and visible approval controls without building an orchestration stack. Do not buy from the demo alone: validate source freshness, exception handling, credit consumption, and the full business quote.
Overall Score
8.0
Ease of Use
8.2
AI Quality
8.0
Features
8.4
Speed
8.0
Integrations
8.2
Value for Money
7.8
Customer Support
7.8
Learning Curve
7.8
Recommended Because…
Strong workflow-control feature set
Scores use a 0-10 editorial scale. The source data is maintained as 5-point review dimensions, then normalized for reader-friendly comparison.
Evaluation
Research-based
Price posture
freemium
Reviewed
2026-08-24
No authentic product screenshot is published for this review. DiscoverAI does not use generated interface images as product evidence.
Starter currently advertises a free 14-day trial for three seats, one workspace, 10,000 monthly AI credits, five agents, and five workflows. Business pricing, seats, credits, storage, and support are custom. No durable public dollar price was displayed when reviewed August 24, 2026.
Free plan: A time-limited Starter trial is advertised; confirm whether continued free use exists after the trial.
Cassidy advertises a 14-day Starter trial. Confirm post-trial access and current terms before treating it as a free plan.
The public page describes Starter limits and custom Business packaging but did not show a durable dollar price when reviewed.
Yes. The pricing comparison lists human-in-the-loop steps, conditional logic, retries, version history, and audit trails.
Cassidy says customer information is not used for model training. Verify the current contract, model-provider terms, subprocessors, and retention settings.
Keep Deciding
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