Recommendations
Suggest a next action while leaving judgment and execution with the accountable person.
Restricted actions · audit · escalation
AI Workflow
Governed process help, not uncontrolled autonomy.
Move approved work through recommendations, review-before-use drafts, policy-bound automations, exception handling, escalation, and human intervention.
AI Workflow
Recommendation, approved automation, and restricted action are different states.
Each workflow defines its trigger, prerequisites, permissions, owner, integration scope, retry behavior, exception path, and audit receipt before it can progress work.
Approved automations
Deterministic actions run only inside documented conditions, permissions, and entitlement boundaries.
Restricted actions
Coverage, legal, lending, pricing, contract, disclosure, safety, and public decisions remain human-controlled.
Audit
Record what triggered the workflow, what was attempted, what completed, and who approved consequential steps.
Exception handling
Failed prerequisites, unavailable providers, duplicates, timeouts, and partial failures enter a safe exception path.
Escalation
Route uncertainty and failure to an accountable owner without reporting success prematurely.
A controlled workflow path
01
Detect an approved trigger and verify tenant, role, entitlement, and prerequisites.
02
Prepare a recommendation, draft, checklist, or deterministic permitted action.
03
Request human approval wherever the action is consequential or policy-restricted.
04
Execute through narrowly scoped integrations with idempotency and bounded retries.
05
Record the outcome, surface exceptions, and escalate when intervention is required.
Automation remains bounded by policy and people.
A model never becomes the authorization layer.
AI Workflow is separate from the person-facing AI Assistant and AI SEO service.
Provider outages and failed operations remain visible and retryable.
Workflow access and capacity follow the selected package or approved add-on.