Stack AI

Enterprise no-code platform for building secure AI agents and workflows on private company data.

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What is Stack AI?

Stack AI is a no-code platform that lets teams build AI agents and workflows on enterprise data — knowledge bases like SharePoint, Confluence and Google Drive — and publish them as chat assistants, forms or APIs into Slack, Teams, Salesforce and HubSpot. It emphasizes enterprise readiness: SSO, RBAC, audit logs, PII masking, guardrails and evaluations, with model routing across OpenAI, Anthropic, Google or local LLMs. A free plan offers 500 runs/month; scaling happens on custom enterprise pricing.

Key features

  • Drag-and-drop workflow and agent builders with template library
  • Knowledge base connectors with versioning, citations and access controls
  • Deploy agents as chat assistants, forms or APIs
  • Route across OpenAI, Anthropic, Google or local LLMs
  • Guardrails, evaluations and testing before production
  • Enterprise security: SSO, RBAC, audit logs, PII masking, data residency
  • Analytics and cost governance for agent usage
  • Native deployment into Slack, Teams, Salesforce, HubSpot, ServiceNow

Pros

  • Strong G2 reviews for ease of use and fast deployment without heavy coding
  • Serious compliance story: SSO, RBAC, audit logs, PII masking, data residency
  • Hands-on pilot engagement with dedicated AI specialists praised by customers

Cons

  • Learning curve for advanced use and occasional performance inconsistencies reported
  • Pricing concerns for small teams; scale pricing is custom and opaque

Stack AI at a glance

PricingFreemium
CategoryAutomation & Agents
Platformsweb, api
CompanyStackAI
Official websitewww.stack-ai.com
ai-agentsno-codeenterpriseknowledge-basesworkflowsguardrailsdata-security

How to choose the right Automation & Agents tool

Automation and agent tools promise to do work for you, so judge them on reliability before cleverness. Map the exact workflow you want to automate, then check the tool's integrations cover every app in that chain — one missing connector breaks the whole flow. Look for clear triggers, sensible limits, and logs you can read when something goes wrong, because something eventually will. For agents that act on your behalf, approval controls matter: you should be able to review messages, purchases or changes before they happen, especially at the start. Pricing usually scales with runs or tasks, so estimate your monthly volume honestly. Start with one low-risk workflow, measure the time it truly saves, and expand from there.

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Stack AI FAQs

What is Stack AI?

Stack AI is a no-code platform that lets teams build AI agents and workflows on enterprise data — knowledge bases like SharePoint, Confluence and Google Drive — and publish them as chat assistants, forms or APIs into Slack, Teams, Salesforce and HubSpot. It emphasizes enterprise readiness: SSO, RBAC, audit logs, PII masking, guardrails and evaluations, with model routing across OpenAI, Anthropic, Google or local LLMs. A free plan offers 500 runs/month; scaling happens on custom enterprise pricing.

What are the main features of Stack AI?

Stack AI offers Drag-and-drop workflow and agent builders with template library, Knowledge base connectors with versioning, citations and access controls, Deploy agents as chat assistants, forms or APIs, Route across OpenAI, Anthropic, Google or local LLMs, Guardrails, evaluations and testing before production, Enterprise security: SSO, RBAC, audit logs, PII masking, data residency, Analytics and cost governance for agent usage and Native deployment into Slack, Teams, Salesforce, HubSpot, ServiceNow.

How much does Stack AI cost?

Stack AI follows a freemium model: a free tier is available, and paid plans unlock higher limits and advanced features. Check its official website for current plan prices.

What are the pros and cons of Stack AI?

Strengths of Stack AI include Strong G2 reviews for ease of use and fast deployment without heavy coding; Serious compliance story: SSO, RBAC, audit logs, PII masking, data residency; Hands-on pilot engagement with dedicated AI specialists praised by customers. On the downside, Learning curve for advanced use and occasional performance inconsistencies reported; Pricing concerns for small teams; scale pricing is custom and opaque.