Every new hire starts another chain of access requests.

The business problem

HR, managers and IT rely on emails and checklists to create accounts, assign tools and remove access when people leave. Ownership is unclear, and licenses can stay allocated after the person no longer needs them.

Why engineering judgment matters

Employment status, application roles and privileged access have different owners. Automating an inconsistent process can grant the wrong access faster. Exceptions, failed updates and approval evidence need a defined place in the workflow.

How we would approach it

Define authority and ownership

Choose the authoritative identity source and document which roles may request, approve and execute changes.

Map the lifecycle

Specify joiner, mover and leaver events, role-specific access, licensing requirements and exceptions.

Automate controlled changes

Connect supported application interfaces, validate approvals, record changes and make failures visible for retry or investigation.

Verify the final state

Reconcile requested and actual access, confirm offboarding completion and review licenses for reclamation.

Where AI fits—and where it does not

Access enforcement and privilege changes should follow explicit policy and authorization. AI can help find the relevant policy or prepare a checklist, while approved rules govern account changes.

What we would measure

• Time to required access for a new starter
• Time to confirmed removal after an authorized leaver event
• Unresolved provisioning exceptions
• Licenses reclaimed after verification

Agree the baseline and acceptance criteria before implementation. Compare equivalent workloads and include one-time and recurring costs; do not assume a standard savings percentage.

What to bring to a first conversation

An application inventory, role and approval rules, onboarding and offboarding steps, and available identity interfaces.

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