Skip to content

Don't Script Your Agents. Govern Them.

Two approaches to enterprise AI control: Agent Scripts define behavior line-by-line. Governed Autonomy sets infrastructure boundaries and lets agents reason within them.

Agent Scripts vs. Governed Autonomy

Same enterprise concern -- different philosophical approaches to solving it.

Dimension Agent Script (Salesforce) Governed Autonomy (JieGou)
Control model Line-by-line scripting Infrastructure boundaries
Who controls Developers (write code) Compliance teams (configure policies)
Flexibility Fixed behavior per script Autonomous within guardrails
Audit trail Script execution logs 10-layer governance trace
Regulatory proof "It did what the script said" "It operated within governance boundaries"
Scale One script per agent behavior Governance boundaries apply to all agents
Maintenance Script updates for each change Policy configuration changes

Why Infrastructure Beats Scripts

Agent Scripts are a valid approach for developer-driven teams. But for compliance-focused enterprises, infrastructure governance scales better.

Scalability

Scripts need per-agent maintenance. Every new agent behavior requires a new script or script update. Governance boundaries apply to all agents automatically -- add agents without writing new control code.

Compliance Alignment

Compliance teams configure governance policies through the Operations Hub -- no coding required. Agent Scripts require developers to implement compliance as code, creating a bottleneck between compliance requirements and agent behavior.

Adaptability

Agents governed by infrastructure can reason, adapt, and respond to novel situations within their boundaries. Scripted agents follow fixed paths -- they can't handle scenarios the script author didn't anticipate.

How Governed Autonomy Works

Agents are autonomous within 10 governance boundaries. No scripts needed -- compliance teams configure policies, agents operate within them.

11 Identity & Authentication -- who the agent is
10 Encryption -- how data is protected
9 Data Residency -- where data lives
8 Environment Management -- where agents execute
7 RBAC -- what agents are permitted to do
6 Escalation Protocols -- when agents must defer to humans
5 Tool Approval Gates -- which tools agents can use
4 Audit Logging -- what agents did
3 Compliance Timeline -- when governance events occurred
2 Evidence Export -- proof for auditors
1 Regulatory Compliance -- mapping to regulations

Each layer is configurable by compliance teams through the Operations Hub. No code required.

Govern agents through infrastructure, not scripts.

See how 10-layer governance boundaries give agents autonomy within compliance guardrails.