Introduction
Introduction to Stackmint
Stackmint is an enterprise AI execution platform that enforces governance, cost controls, and human oversight across every AI workflow — without slowing down your teams.
Read documentationDocumentation
Stackmint documentation
Buyer-safe documentation for partners and enterprises evaluating governed AI Capabilities.
Overview
Understand what Stackmint is and how governed AI Capabilities fit enterprise operations.
Governance
Review the enterprise controls Stackmint uses for accountable AI execution.
Security
Evaluate security, compliance, and data handling posture before requesting partner access.
Directory
Browse public documentation
Getting Started
Core Concepts
Workspaces
Workspaces
Workspaces are the top-level isolation boundary in Stackmint. Every user, Capability, budget, and governance policy lives inside a Workspace.
Read documentationBuds
Buds
Buds are the atomic execution units of the Stackmint platform. Each Bud is a typed, versioned function with a defined input schema, output schema, and implementation.
Read documentationBranches
Branches
Branches are execution pipelines that chain Buds together into a governed workflow. They define inputs, outputs, sequencing, and execution constraints.
Read documentationCapabilities
Capabilities
Capabilities are Workspace-deployed instances of Branches with governance policies, budgets, and access controls applied via a Manifest.
Read documentationContext & Variables
Context & Variables
Context Variables are Workspace-level key/value pairs injected into Branch prompts and Bud inputs at execution time. They decouple configuration from workflow logic.
Read documentationRenderers
Renderers
Renderers are certified UI components that format and display Branch execution outputs in Stackmint Surfaces. They are installed per Workspace from the marketplace.
Read documentationSurfaces
Surfaces
Surfaces are the delivery mechanisms through which Capabilities are exposed to end-users. Stackmint provides Chat, Client Cockpit, Partner Cockpit, and Embedded Surface types.
Read documentationGovernance
Overview
Governance Overview
How Stackmint layers governance across model access, budget allocation, human oversight, and audit to create controlled autonomy in enterprise AI deployments.
Read documentationResources
Security & Compliance
Security & Compliance
Stackmint's security controls, compliance certifications, vulnerability disclosure process, and data handling practices.
Read documentationStart here
Recommended first reads
Start with the Stackmint overview, governance model, and security posture.
Need implementation help?
Talk to the Stackmint team
If you are evaluating Stackmint for a governed deployment, we can walk through your workflow architecture and integration path.
Contact usGuides
Guides
Tactical guides for agencies, systems integrators, and partners building recurring AI-powered services with Stackmint.
Intelligence vs. ExecutionLearn how to separate model inference from production execution with gateway controls, deterministic runtime blocks, and governed capability architecture.Read guideThe SI Survival PlaybookSee how systems integrators shift from implementation projects to managed AI-native operations and protected partner IP.Read guideBecoming AI-NativeFollow the operating playbook for agencies and systems integrators moving from billable hours to recurring governed AI capabilities.Read guideAgency Monetization PlaybookLearn how agencies and systems integrators package, price, bill, and monetize governed AI capabilities across client workspaces.Read guide
Glossary
Glossary
Explore short definitions for Stackmint’s core concepts, including governed AI capabilities, Buds, Branches, Dendrites, client workspaces, execution control, MCP tools, and revenue rails.