Operational Decision System

An Operational Decision System gathers approved information, checks policy and permissions, records the required approval, carries out an authorised system action, and measures the result. It is a larger and more sensitive scope than read-only analytics.

Plan your first use case →

Explore Managed AI Analytics

Operational Decision System Controlled mode

Approved information Records Documents Policies Exceptions Conversations

Control checks

Information for the decision Information assembled Policy checked Permission verified

Controlled action

Next action approved Written to system of record

01Understand 02Decide 03Act 04Measure

Example path: gather approved information, check policy and permissions, carry out an authorised system action, and measure the result.

Controlled action record

Every action needs a visible path from source information to authority.

The record connects the source information, policy, permissions, approver, system change, reversal path, and later result.

Assemble the approved records, documents, rules, and exceptions.
Apply a versioned decision rule or policy and record the inputs used.
Require the appropriate person or system approval before write-back.
Record the action, result, failure, reversal path, and later measurement.

ACTION-01

Controlled action example

Source information

Approved records and policy inputs assembled

Proposed action

One permitted action with a stated reason

Authority

Named approval and permission verified

Write and audit

Result recorded with failure and reversal path

Designed for workflows where approval, write-back, failure handling, and reversal must remain visible.

Before write access

Every write needs explicit rules, authority, and tests.

Policy

The trigger, source information, rules, exceptions, permitted outcome, and accountable owner are explicit.

Permissions and approval

The allowed users and actions, separation of duties, escalation, timeout, and denial behaviour are defined.

Controlled action

The allowed system change, duplicate prevention, failure handling, reversal, and downstream effects are understood.

Testing

Representative success, denial, conflict, stale-data, partial-failure, and reversal cases can be checked.

Measurement and operation

Named owners are responsible for measuring results, monitoring the service, handling incidents and policy changes, reviewing it on schedule, and managing exit.

Default position

Keep the first release read-only unless the business case specifically requires a controlled system action.

A useful answer can often improve a decision without giving an AI-enabled service authority to change the source system.

Begin with the decision

Bring the question and the action someone believes should follow.

The assessment will determine whether read-only analysis is enough and identify the additional policy, permission, approval, action, and measurement work required.

Plan your first use case →

Review all services