Operations team collaborating around shared dashboards in a modern office

Cassidy AI Review (2026): AI Assistants & Workflows on Your Knowledge Base

Independent review of Cassidy AI — the AI workflow platform that builds team-shaped assistants on a centralised knowledge base, priced from $49/month, deployed inside Slack, Teams, and the daily-driver tools your team already uses.

By Morten Andersen · Last updated: May 2026 · 11 min read

Affiliate disclosure: AI Agent Square may earn a commission when readers sign up through links on this page. Our scoring is editorially independent. See our methodology.

Verdict: Cassidy AI is a strong choice for business operations, customer-success, sales, marketing, and HR teams that want assistants and workflows centred on a real shared knowledge base. The Knowledge Base as a first-class object — connecting Drive, SharePoint, OneDrive, meetings, and websites — is the standout differentiator versus Zapier-style flow tools. The credit model is transparent and the deployment surfaces (Slack, Teams, Chrome, Word, Excel, Outlook) match where work actually happens. Less ideal for developer-heavy organizations comfortable in n8n's code-first model.

VendorCassidy AI
CategoryWorkflow automation / AI agents
Pricing$49 · $149 · $499 · Enterprise
Free trialYes
Founded2023
HQNew York
Pricing modelTier + credits
Best forOps, CS, sales, HR, marketing
Overall
8.6 / 10

Strong AI ops platform on a real KB

Features
8.8 / 10

Assistants + workflows + KB

Pricing
8.5 / 10

Transparent tiers, credit-based

Ease of use
9.0 / 10

Workflow Copilot, no-code build

Support
8.5 / 10

Responsive, growing CS team

Integration
8.8 / 10

Native KB + 100s of actions

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What is Cassidy AI?

Last reviewed on 15 May 2026 by Fredrik Filipsson, Co-Founder, AI Agent Square. See our methodology.

Cassidy AI is a workflow automation platform that builds AI agents that operate like a team. Per Cassidy's own positioning, the product is structured around four core objects:

  1. Knowledge Base. A centralised store of company knowledge — documents, websites, meetings, and tools — connected to internal data sources via real-time syncing.
  2. Assistants. AI teammates anyone can build in minutes that answer questions, complete tasks, and take action across tools.
  3. Workflows. Multi-step automations handling complex processes — typically built without engineering involvement.
  4. Integrations. Native connections to Slack, Notion, SharePoint, Google Drive, OneDrive, and hundreds of other tools, with webhook and API options for custom needs.

The platform's strongest differentiator is the Knowledge Base as a first-class object. According to Cassidy's KB product page, the Knowledge Base "centralises your company knowledge across dozens of tools to give your AI automations real-time context on your business." Cassidy syncs with external data sources so the KB always reflects the latest versions of your files, and offers Document Verification — letting your team flag potentially outdated content so agents only rely on verified information.

Pricing in 2026

Cassidy's pricing page publishes four tiers. Starter at $49/month with 10,000 Cassidy Credits per month, 20K Knowledge Base pages, unlimited assistants and workflows, integrations with Slack, Notion, SharePoint, and up to 5 user seats. Pro and Business tiers expand on credits, KB capacity, seats, and feature breadth. Enterprise is custom.

PlanPriceIncludedBest forFree trial
Starter$49/month10K credits, 20K KB pages, 5 seats, core integrations, unlimited assistants/workflowsSmall teams, pilotsYes
Pro$149/month (typical)More credits, more KB pages, more seats, expanded integrationsGrowing ops teamsYes
Business$499/month (typical)Higher credit allowance, advanced features, broader integrations, role controlsMid-market teamsYes
EnterpriseCustomSSO, admin controls, dedicated CSM, security review, custom creditsEnterprise rolloutsDemo

How Cassidy credits work

Credits are how AI tasks are measured. Cassidy's explainer describes the model clearly: when an assistant runs a task — writing a response or calling an external API — it uses credits. More complex tasks like detailed workflows or large-dataset analysis use more; simpler tasks like basic queries or short agent interactions use fewer. The Starter plan's 10,000 credits/month support roughly hundreds to a few thousand assistant interactions, depending on complexity.

This puts Cassidy in the same broad pricing family as Gumloop, Vellum, and other 2026 AI agent platforms — credits as the unit, with tier-based monthly allowances and add-on overage. Plan around your expected complexity and volume; ramp on a Starter or Pro before committing to higher tiers.

What Cassidy actually does

Knowledge Base

The Knowledge Base centralises company knowledge across dozens of tools to give AI automations real-time context. Native integrations connect Google Drive, SharePoint, OneDrive, Notion, Confluence, and other knowledge sources. The KB syncs with external data sources so it always reflects the latest versions of your files. Document Verification lets teams flag outdated content so assistants only rely on verified information. This is the cleanest implementation of "shared organizational memory for AI" we have evaluated in 2026.

AI Assistants

Per Cassidy's assistants product page, you build personalized AI assistants trained for specific tasks across your team — answering RFPs, customer tickets, internal HR questions, sales discovery questions. Each assistant can pull from the KB, call tools, and respond inside Slack, Microsoft Teams, Chrome, Word, Excel, and Outlook extensions.

Workflows

Per the Cassidy workflows page, the Workflow Copilot helps users build automations step by step — structuring logic, connecting tools, and refining details — with zero coding required. Cassidy ships 100+ pre-built actions: generate content, search the Knowledge Base, send emails, update CRM records, route, loop. Multi-step workflows handle complex processes without engineering involvement.

Integrations

Per Cassidy's integration docs, native integrations exist for Knowledge Sources (Google Drive, SharePoint, OneDrive, Notion) and Workflow Actions (Salesforce, Microsoft Teams, Slack, HubSpot, Pipedrive, and many more). Hundreds of integrations across the stack, with webhooks and API for custom needs.

Deployment surfaces

The single most important UX decision in Cassidy is deploying assistants where work actually happens. Slack and Microsoft Teams are first-class. Chrome, Word, Excel, and Outlook extensions cover the rest of the typical knowledge-worker stack. The pattern of "ask the assistant inside Slack/Teams" is more reliably adopted than the alternative of "go to a separate web app."

Pros and cons

Strengths

  • Knowledge Base as a first-class object — syncs Drive, SharePoint, OneDrive, Notion in real time
  • Document Verification lets teams flag outdated content
  • Workflow Copilot builds multi-step automations no-code
  • Native deployment in Slack, Teams, Chrome, Word, Excel, Outlook
  • Transparent credit pricing; Starter tier at $49/month is accessible
  • 100+ pre-built actions plus webhook/API for custom
  • Strong fit for ops, CS, sales, HR, marketing — non-developer business teams

Limitations

  • Credit unpredictability on heavy months (common to category)
  • Less developer-friendly than n8n for code-first teams
  • Younger company (2023 founding) — smaller reference base than Gumloop
  • Enterprise security posture (SSO, audit) sits at Business+ tier
  • Some highly bespoke workflows still need engineering escape hatches
  • SAP, Oracle, and other heavy enterprise system integrations are lighter

Who Cassidy AI is best for — and who should look elsewhere

Strong fit: Operations and customer-success teams running shared assistants for RFPs, tickets, and internal Q&A. Sales teams wanting AI to qualify leads, draft outreach, and update CRM. HR and people-ops teams handling onboarding and policy questions. Marketing teams running content research and brief generation. Mid-market companies (50-1,000 employees) replacing scattered AI experiments with a single platform on a shared KB.

Weak fit: Developer-heavy organizations already comfortable with code — n8n or Vellum will feel more natural. Very small teams running simple Zapier-replacement automations — the price is overkill below 5 active users. Highly regulated industries with on-prem requirements — evaluate Cassidy's data-residency posture carefully in vendor selection.

Alternatives to evaluate

Gumloop. The most directly comparable platform. Used by Shopify, Instacart, Webflow. Both Cassidy and Gumloop are AI-first workflow platforms aimed at business teams. Gumloop's strength is parallel processing and big-batch document workflows. See our Gumloop review.

n8n. The developer-leaning alternative. 1,700+ nodes, 70+ AI/LangChain nodes, self-hostable. Better fit for technical teams. See our n8n review.

Vellum AI. Enterprise-grade AI agent builder used by larger organizations for AI agent development and orchestration.

Lindy. Comparable AI agent platform with strong email and meeting automation.

Microsoft Copilot Studio. The Microsoft-ecosystem-native equivalent. Best for organizations already standardized on Microsoft 365 with E3/E5 licensing.

Zapier and Make.com. Different category — non-AI workflow automation, with AI features layered in. Less powerful for assistant patterns; better at simple SaaS connectors.

Implementation and onboarding

Cassidy's onboarding is among the lightest in the category. Sign-up, connect your first knowledge sources (Drive, SharePoint, Notion), build your first assistant, deploy it to Slack or Teams. Most teams have a working production assistant within 1-2 weeks. The Workflow Copilot accelerates the move from single assistants to multi-step workflows.

The bigger lift is change management — getting team members into the habit of asking the assistant first, contributing to and verifying the Knowledge Base, and flagging outdated content. The platform's design supports this, but the cultural change is on the customer.

Security, privacy, and compliance

Cassidy operates on a SaaS model with standard SOC 2 Type II security posture and enterprise-grade controls available at the Business and Enterprise tiers. SSO, role-based access controls, and audit logging are standard at higher tiers. For regulated industries (healthcare, finance, legal) review Cassidy's published security posture and DPA carefully against your specific compliance obligations. For HIPAA-relevant workloads, confirm BAA availability before contracting.

User reviews and reception

Third-party reviews on Futurepedia, ColdIQ, and Coda One position Cassidy favorably as a workflow automation tool for ops and customer-facing teams. Common positive themes: fast time-to-first-assistant, strong Knowledge Base ergonomics, useful Slack/Teams deployment, no-code Workflow Copilot. Common critiques: credit pricing unpredictability on heavy months, and the wish for deeper enterprise-system integrations.

Evaluate Cassidy AI, or compare to other workflow platforms.

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Frequently asked questions

What is Cassidy AI?

Cassidy AI is a workflow automation platform that builds AI agents that operate like a team. It combines a knowledge base spanning documents, websites, meetings, and tools with AI assistants and multi-step workflows. Cassidy deploys via Slack, Microsoft Teams, Chrome, Word, Excel, and Outlook, so business teams use it inside the tools they already work in every day.

How much does Cassidy AI cost in 2026?

Cassidy AI pricing in 2026: Starter at $49/month with 10,000 credits, 20K knowledge base pages, unlimited assistants and workflows, integrations with Slack, Notion, SharePoint, and up to 5 user seats. Pro typically lands at $149/month and Business at $499/month, with Enterprise pricing custom. Credits are how AI tasks are measured — simple queries use few credits; complex multi-step workflows or large-dataset analysis use more.

What are Cassidy credits and how do they work?

Cassidy credits are the unit of consumption for AI tasks. When an assistant runs a task — writing a response, calling an external API, processing a document — it consumes credits. More complex tasks like detailed workflows or large-dataset analysis use more; simple queries and short agent interactions use fewer. The Starter plan includes 10,000 credits/month; higher tiers include more. The model lets vendors price for inference cost; the trade-off for buyers is unpredictability on heavy months.

How does Cassidy compare to Gumloop and n8n?

Cassidy is closer in shape to Gumloop than to n8n. Cassidy and Gumloop are both AI-first workflow platforms aimed at business teams (RevOps, ops, marketing, customer success), with strong knowledge-base integration and assistant patterns. n8n is more developer-leaning and broader in non-AI integrations. Cassidy's strongest differentiator is the Knowledge Base as a first-class object — connecting documents, meetings, and tools into a single source of truth that all assistants and workflows draw from.

Who is Cassidy AI best for?

Cassidy AI is best for: business operations teams that need assistants and workflows centred on a shared knowledge base; customer-success and support teams answering RFPs and tickets; sales teams using AI to qualify leads, write outreach, and update CRM; HR and people-ops teams running onboarding and policy Q&A; and marketing teams running content workflows and research. Less ideal for developer-heavy organizations comfortable in n8n's code-first model, or for very simple Zapier-replacement automations.

Sources & further reading

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