Enterprise
Enterprise-grade AI execution and governance
The control plane for AI across your entire stack. Deploy, govern, and observe AI agents with the same rigor as any mission-critical system. Your data, your permissions, your compliance boundary - always respected.
One execution layer across your stack
Unify agents across CRM, comms, and data platforms.
Security, audit logs, and RBAC built in
Governed execution with identity, policies, and traceability.
From GTM agents to enterprise-wide workflows
Scale from single teams to org-wide automation.
- •Salesforce, Slack, data warehouses
- •SOC2 and enterprise security foundations
- •Observability and runtime controls
Enterprise guardrails, built in
The execution layer ships with the policies, identity controls, and runtime safety you expect.
- •Kill switch, whitelists, and policy-based execution.
- •RLS, RBAC, and full audit logs for every agent run.
- •Trust Layer, enterprise RAG, and orchestration built in.
Security
Security first
RLS, RBAC, and zero-trust token handling enforced across database, workspace, and execution layers.
Row-Level Security (RLS)
Role-Based Access Control (RBAC)
- Who can deploy agents
- Who can author workflows
- Who can run them
- Who can access logs, API keys, outputs
- Built for SSO, SAML, SCIM
Zero-trust token handling
Governance
Governance & control
Centralized controls to pause, permit, and govern every agent, workflow, and integration.
Global kill switch
Agent whitelists
Compliance guardrails
Full audit logs
- Who ran what / when
- Tools used & external systems touched
- Data that left the boundary
- Success/failure traces & version history
Trust
Trust layer
Deterministic masking, mapping, and unmasking enforced across every agent.
- Sensitive data never leaves your control boundary.
- Consistent pseudonymization across all tools and runs.
- Reversible mapping only for authorized reviewers.
- Defense against hallucinations leaking sensitive data.
- Enterprise agents operate with context-aware safeguards - not just LLM guardrails.
RAG
Enterprise RAG
Bring your knowledge bases into an agentic runtime that respects your security model.
RAG for mission-critical workflows
Policy-aware retrieval
- Chain-of-thought suppression and redaction layers
- Human-modeled Q&A evaluation to reduce hallucinations
- Role-aware, governed RAG by default
Orchestration
Orchestration at scale
Workflow orchestrator + scheduler/event triggers, governed by enterprise RBAC and audit.
Workflow orchestrator
- Sequential or parallel branches
- Automatic data type validation
- Context passing across agents
- Bud-to-Bud compatibility mapping
- Inline human approvals
- Timed waits and suspend/resume
Scheduler & event triggers
Stackmint acts as the execution substrate between your systems and your agents.
Observability
Observability & telemetry
Full visibility into every run with traces, usage, and spend analytics.
End-to-end traces
Usage & spend analytics
Deployment
Deployment options
Choose the deployment model that matches your risk profile.
Cloud & private
Hybrid execution
Ready to run enterprise AI safely?
Talk to our team about your security requirements, data boundaries, and deployment model.