AI NATIVE ORGANIZATION
Build an operating model where AI carries out defined work, your people handle the decisions that matter, and leaders can see how it is performing.
THE OPERATING SHIFT
Individual AI tools help when someone asks. A configured agent can begin from an agreed event, schedule or queue and carry out defined steps.
That needs a designed process: approved access, reliable checks, clear limits and a person responsible when something goes wrong.
Approved information
Defined actions
Recorded evidence
Scheduling and connections depend on the agreed platform, implementation and access. People remain accountable for the result.
SEE HOW THE WORK MOVES
Consider an invoice check. Select a situation to see what the agent does, when it stops and who takes the next decision.
An illustrative workflow, not a live system or a claim about a client implementation.
The agent finds the purchase order and receipt. The details match the agreed rules.
The agent prepares the invoice for review. Payment still requires an authorized person.
The finance approver reviews the matched invoice and authorizes the next step.
Evidence stays with the work. Keep the source records, checks and approval together.
The agent cannot verify delivery. It marks what is missing and holds that invoice.
That invoice waits for a person. Other eligible work can continue within its own rules.
The procurement owner provides the receipt or investigates. The invoice moves forward only after the missing information is resolved.
Evidence stays with the work. Record the missing item, assigned owner and resolution.
The agent identifies the difference. It does not approve the exception or change the rules.
That invoice waits for a person. Other eligible work can continue within its own rules.
The authorized manager reviews the evidence and decides whether to reject, correct or approve the exception.
Evidence stays with the work. Record the decision, its reason and who authorized it.
BUILD THE OPERATING MODEL IN STAGES
AI native means AI is part of how work is designed, managed and improved. It develops one proven process at a time.
Select the stage closest to your current way of working.
Useful drafts, summaries and analysis. The person still starts, checks and completes the work.
THE NEXT PRACTICAL STEP
Choose a recurring task with a clear owner, usable information and a result you can check.
EVIDENCE TO LOOK FOR
A defined task and an agreed acceptance standard.The task has approved information, tools and limits. People review the result and handle exceptions.
THE NEXT PRACTICAL STEP
Examine the steps before and after the task. Redesign the handoffs, approvals and exception route.
EVIDENCE TO LOOK FOR
Reliable task results, with review effort and failures recorded.Work arrives through agreed events, schedules or queues. Ownership, checks and escalation are built into the flow.
THE NEXT PRACTICAL STEP
Prove the result in everyday use before applying the approach to the next process.
EVIDENCE TO LOOK FOR
Accepted work, improved capacity and clear operating controls.Leaders can see what is running, who owns it, what needs attention and where the capacity is going.
THE NEXT PRACTICAL STEP
Review the portfolio regularly. Adjust priorities, controls and capacity plans as the business changes.
EVIDENCE TO LOOK FOR
A portfolio with named owners, comparable measures and regular review.THE 50 / 50 DIRECTION
Explore whether agents could carry out half the suitable process work. Keep people responsible for direction, relationships and judgement. The right mix depends on the evidence, not a fixed quota.
AGENTS EXECUTE DEFINED WORK
Routine actions inside agreed rules, using approved information and systems.
PEOPLE OWN THE ENTERPRISE
Policy, risk, exceptions, relationships and accountability for the result.
Who may take which action?
What information can the agent use?
What needs a person’s authorization?
Who responds, and how can the work be stopped?
THE OPERATING REVIEW
Leadership needs a clear view of performance and responsibility. A useful review connects the operating results to a decision.
| What to see | What it tells you | The decision it supports |
|---|---|---|
| Value priorities | Where AI should help, and where it should not. | Which process deserves attention next? |
| Named processes and owners | What is running, who accepts the work and who resolves issues. | Is responsibility clear enough to expand? |
| Exceptions and controls | What is waiting, why it stopped and who is responding. | Fix the information, change the rule or pause the process? |
| Accepted work and effort | Output, quality, time and the human effort still required. | Has the process earned the next investment? |
Use AIM to discover, implement and support it. Expand when the operating evidence supports the decision.