Governed API and Agent Access

Use BlazeXL from services, automations, and agents with organization-scoped identities, governed logic access, and auditability.

Governed API and Agent Access

BlazeXL is not only an Excel and web surface. It is also a governed execution surface for services, automations, and AI agents.

This means your organization can:

  • create dedicated identities for agents and bots
  • issue API tokens for governed execution
  • give those identities access to approved Blaze Blocks through RBAC
  • review their activity in audit logs alongside human activity

Why This Matters

Most agent frameworks are good at orchestration, but weak at governance.

The hard production question is not:

"Can the agent do something?"

It is:

"What exactly did it do, under which identity, using which logic, and can we prove it?"

BlazeXL answers that by making agents and services consume the same governed logic objects used by humans.

The Core Model

  1. Create or assign an identity A team creates a dedicated user or service identity for an automation or agent.

  2. Issue a token Generate an API token marked for SDK / API / custom usage, with attribution as human or agent.

  3. Inherit governed access The identity inherits organizational access controls for Blaze Blocks and other governed resources.

  4. Execute governed logic The service or agent calls BlazeXL through the SDK or API.

  5. Review in audit Activity appears in audit with actor type, surface, action, and execution metadata.

What BlazeXL Governs

Using BlazeXL through the API means more than remote execution. It means:

  • versioned logic
  • permissioned access
  • identity-bound execution
  • auditable activity
  • cross-surface consistency

The same Block can be used from:

  • Excel
  • Blaze Apps
  • internal services
  • agents
  • API clients

Recommended Production Pattern

For governed production workflows:

  • publish reviewed logic as Blaze Blocks
  • give agents dedicated identities
  • issue tokens with explicit attribution
  • let agents call approved logic instead of inventing business logic at runtime
  • use audit to review execution history

Typical Use Cases

  • a procurement agent calls approved classification and approval-policy Blocks
  • an internal service calls pricing or reconciliation logic through the SDK
  • a workflow engine triggers governed finance logic on a schedule
  • an AI agent orchestrates work while BlazeXL executes the underlying business logic deterministically

Next Steps

© 2026 BLAZE LABS PTY LTD. ABN 66 694 592 553. All rights reserved.