Approval workflow automation

Make routine decisions easier—and give difficult decisions the context and scrutiny they deserve.

What problem this solves

Approvals slow down when the approver receives a request without the information needed to decide. The policy may be in one document, the budget in another system, the supplier history in email, and the commercial context in someone’s head.

A faster button does not solve this. The workflow must assemble the evidence, test the request against policy, expose exceptions, send it to the correct authority, and record why the decision was made.

Day-to-day operation

What the problem looks like in practice

Requests arrive through email, chat, forms, spreadsheets, and operational systems.

Staff chase missing quotations, justifications, cost centres, specifications, and prior approvals.

Approval thresholds depend on value, category, risk, project, role, or combinations of them.

Routine requests and genuinely uncertain decisions sit in the same undifferentiated queue.

System model

From incomplete request to accountable decision

The useful boundary includes the source, the checks, the exception path and the accountable action.

  1. 01ReceiveBring the request, justification and supporting evidence into one controlled record.
  2. 02CompleteIdentify missing quotations, cost centres, specifications or prior approvals before submission.
  3. 03CheckApply current policy, budget, authority and separation-of-duties rules.
  4. 04BriefPresent the decision, history, conflicts and material exceptions without hiding the source evidence.
  5. 05DecideRoute by risk and authority while keeping the accountable human decision explicit.
  6. 06RecordExecute approved actions and preserve the evidence, comments and decision history.

Where AI helps—and where it should not decide

AI can summarise scattered context, compare narrative requests with policy, identify unusual patterns, and help an approver inspect evidence. Authority limits, mandatory controls, calculations, routing rules, and the final accountable decision should remain explicit and deterministic.

How success should be measured

Request completeness
The share of requests reaching an approver with the required evidence and context.
Decision quality
Whether policy, authority and material exceptions were considered—not approval speed alone.
Attention on exceptions
How much reviewer time is directed toward genuine uncertainty rather than routine evidence chasing.
Control integrity
Authority breaches, skipped checks, undocumented delegation and other control failures.

What needs to be proven

Wider use should follow evidence from representative work, including the cases that do not follow the usual path.

Current decision rules

Policy, thresholds, authority, delegation and separation of duties are represented accurately.

Complete decision context

Approvers can inspect the request, evidence, history and exceptions without reconstructing them elsewhere.

Accountable routing

Routine work moves efficiently while uncertainty reaches the person authorised to decide.

Defensible record

The evidence, recommendation, comments, decision and downstream action remain connected.

Related capabilities and industries

Supporting perspective

Related insights

Practical questions

Questions about approval workflow automation

Does automation remove human approval?

No. The system can assemble evidence, apply deterministic policy checks, and route work, while identified people retain authority for decisions that carry accountability.

Can the workflow support different approval levels?

Yes. Roles, thresholds, delegation, escalation, and separation-of-duties rules can be modelled explicitly and tied to the underlying evidence.

Can we begin with one type of approval?

Yes. A contained approval workflow is a practical first release because the evidence, rules, exceptions, and decision owners can be validated before expansion.

See whether this workflow fits your operation

Bring a few representative examples, the systems involved, and the exceptions that matter. We will help define a sensible contained first step.

Discuss this workflow