Deployment boundaries
Define the environment, connected systems, data routes and model providers appropriate to the process.
Security and deployment
Govern the intelligence, the worker and every action it takes.
Set deployment, data, model, tool, provenance, authority and escalation boundaries before an adaptive AI worker enters production.
Authority stays explicit
High-impact decisions stop at a named approval gate with the full evidence position attached.
Control model
Control begins before the worker reaches production.
Each launch documents where operational intelligence came from, what the worker may read and do, which model and tools perform each stage, and which decisions remain outside its authority.
Identity and access
Connect worker and user identities to scoped roles, system permissions and case responsibilities.
Approval and escalation
Route regulated, high-impact or exceptional decisions to authorised people before an action proceeds.
Encryption and key controls
Document transport, storage and key-management controls for the selected deployment architecture.
Evidence and retention
Retain the workflow events, source references, approvals and actions required for review and audit.
Evaluation before authority
Test representative cases and defined failure modes before increasing a worker’s production permissions.
Intelligence assurance
Know what the worker learned, who verified it and where it may be used.
Contributor lineage
Retain the source, reviewer, scope, permitted use and validity of expert-contributed intelligence.
Versioned assets
Track the graph, model inputs, policies, prompts, tools and evaluations used by each production release.
Novel-case review
Prevent unfamiliar cases and corrections from changing production behaviour without expert review.
Regression evidence
Re-run approved and adversarial cases before a new intelligence or pipeline version is released.
Deployment progression
Authority increases in controlled stages.
Read-only
The worker assembles evidence and produces recommendations without changing source systems.
Human-in-the-loop
Authorised people review proposed decisions and actions before execution.
Controlled action
Specific low-risk actions can proceed inside explicit limits, with audit events and escalation.
Related open standard