(Enterprise)

Built to act. Built to be controlled.

(Authority)

The company decides what AI can see, call and execute, which actions need approval and who approves. AI does the work; people keep the authority.

(Evidence)

Every important agent run leaves task, input, context, tools, actions, output, evidence, approval and outcome — so a manager sees not just the answer but why, what was called and what happened.

(Connect)

Existing systems and tools connect through API, MCP, connectors, Activepieces, Windmill, Workspace Bridge and channel plugins. Nobody throws their software away to start over.

(Models)

The agent runtime connects the model and tools each task needs. The model is the engine; what the company owns for the long run is its data, ontology, knowledge, workflows, skills, agent workforce and business memory.

(Why it is built this way)

Security is simple while AI only answers questions. Once AI can actually do the work, permissions, approval, evidence, audit and governance become part of the product. STARGO WORK was designed from day one for AI that enters real business processes.

(Deployment)

Cloud.
Dedicated environment.
Private deployment.
Enterprise SLA.

(Numbers)

288

AI employees, working inside the permissions the company sets.

13

enterprise governance capabilities: Capability Center, Identity & Permission, Approval Service, Audit Ledger, Credential Management, Agent Guardrails, Tenant Isolation, Failure Handling, Canary, Rollback, Evaluation, Observability, Human-in-the-Loop.

3

deployment options: cloud, dedicated enterprise environment, private deployment.

(The principle)

“Delegate the work. Keep the authority.”

STARGO WORK

Human-in-the-Loop

Five governance components (5)

Capability Center

(What AI may call)

Identity & Permission

(Who, as whom)

Approval Service

(What must be approved)

Audit Ledger

(Every action leaves evidence)

Credential Management

(Credentials never enter a prompt)

(Born inside real global trade)

STARGO WORK did not start from a SaaS product spec. It came out of real manufacturing and global-trade operations: how to find customers, judge them, reply fast, manage product knowledge, quote, approve, make the PI, manage orders, prepare export documents, keep following up — and how to grow without only hiring.

(Connect what you already use)

Integration(7)

(Method)

(What it does)

(What it connects)

API
Call and be called directly
Existing systems
MCP
The standard interface agents use tools through
Tools and data sources
Connectors
Pre-built connectors
CRM · mail · drives · knowledge
Activepieces
Workflow automation
Cross-system processes
Windmill
Scripts and ETL
Data and scripts
Workspace Bridge
Workspace and deliverables
Desktop and files
Channel Plugins
Acquisition channel plugins
Reddit · Google · LinkedIn · Alibaba · WhatsApp · Email

(Contact us)

Let’s talk.

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