Stack AI

Stack AI is an enterprise-focused platform for building AI workflows and agents without writing code. It positions itself as an AI transformation layer for IT teams and regulated industries, letting organizations convert manual processes into automated agentic workflows through a drag-and-drop interface.

At its core, Stack AI provides a visual workflow builder where users can chain together AI models, data sources, and business logic into deployable agents. The platform supports over 100 enterprise integrations, meaning agents can read from, write to, and execute tasks within existing systems — from CRMs and databases to communication tools like Slack and document platforms like Google Drive.

The platform is built around four pillars. First, agentic workflow creation: users can assemble multi-step AI agents without coding, with the visual interface handling the orchestration logic. Second, flexible deployment: Stack AI supports multi-tenant SaaS, VPC, and on-premise deployments, which is a meaningful differentiator for organizations with strict data residency or compliance requirements. Third, security and governance: the platform includes feature-level access controls, audit logs, and usage analytics — tracking runs, errors, users, and token consumption per project. Fourth, lifecycle tooling: the platform includes pull request-style version management for agents, allowing teams to develop, test, and promote changes through staging environments before production deployment.

The customer base skews heavily enterprise and regulated: IBM, BAE Systems, Raiffeisen Bank International, NuBank, MIT, and various municipal governments appear in the trust section. This signals that Stack AI is designed for environments where governance, auditability, and security controls are non-negotiable requirements rather than optional extras.

In the broader no-code AI workflow landscape, Stack AI competes with tools like Zapier AI, Make (Integromat), Relevance AI, and Voiceflow. Compared to Zapier or Make, Stack AI is more focused on AI-native workflows and agentic behavior rather than simple trigger-action automation. Compared to Relevance AI, it appears to place heavier emphasis on enterprise security architecture and on-premise deployment options. Compared to Voiceflow, it is less specialized toward conversational agents and more general-purpose across workflow types.

Stack AI also offers dedicated support described as a "white-glove experience," with AI experts available through the rollout and scaling process — a feature that matters to enterprise buyers who need implementation support rather than self-serve onboarding alone.

For teams looking to bring AI into complex, regulated, or security-sensitive operations without building custom infrastructure, Stack AI offers a structured path from process to deployed agent with the governance controls that enterprise IT typically requires.