Tickets, access and onboarding, run by rules your team can read.

Service desks, access provisioning, onboarding and change management are the most automatable processes in any company. They're also the most likely to collect shadow scripts nobody documented. IT is where we work forward-deployed, inside your repositories and your review process.

Source code on a laptop screen

Where it starts, and what changes.

Read the "before" and find yours. Most it and technology services teams start here and find that half of what they assumed needed AI didn't.

Below L1 → L1

Automation inventory

Before

Scripts and no-code flows run across the company with no owner, no monitoring and an unknown blast radius.

After

Every automation documented with an owner, monitoring and dependencies. The auditor's first question, answered.

L1 → L2

Joiner-mover-leaver provisioning

Before

Accounts are created by hand in six systems, access is copied from 'someone similar', and leaver access is found six months later.

After

The HR record creates accounts by role, with a tested de-provisioning path. Missing data halts and alerts a named owner.

The next two levels for it and technology services, and what we typically see
L2 → L3

Ticket triage assistant

Before

Every ticket is read and classified by a person; the routine ones consume the queue.

After

An agent classifies and drafts the first response; routine categories resolve with approval, everything else escalates with context.

L3 → L4

Change and incident loop

Before

The same incident recurs after every change and nobody links the two.

After

Recurring causes surface monthly against the change log. Thresholds and runbooks are updated by your engineers.

30 to 50%
of service-desk tickets in most organizations are requests a rule could fulfill
Days → hours
typical onboarding provisioning time from L1 to L2
0
credentials held by us; access revoked on a date in the contract

KPIs that move, and who notices.

Baseline these before anything changes. The Survey instruments them; the Pilot is measured against them.

MetricHow to measure itWho it moves
Mean time to detectMinutes from failure to a named person alertedCIO, risk
Provisioning timeHours from HR record to full accessIT ops, HR
Runbook coverage% of automations with a current runbook and ownerCIO, audit
Shadow-system countAutomations outside inventory, trending downSecurity, audit
What you get when it's built this way

Through IT, from day one

The business gets its automation and you keep architectural control.

Less surface area

Deterministic first, fewest new components, no platform of ours.

Engineers who learn current patterns

Two of yours trained on thresholds, escalation, audit trails and rollback.

Systems it and technology services teams usually run on and where we've built.

We start with what you own. None of these is a partnership we take margin on.

Questions it and technology services teams ask before the first call.

Where should a it and technology services team start with automation?

With automation inventory. It's the step that returns hours before any software is bought, and it makes everything after it cheaper. The assessment tells you whether your process is already past that point.

Do we need AI to improve new hire to first login?

Usually not at first. Most of the delay in new hire to first login comes from manual hops between systems, which deterministic rules remove. An agent earns its place only where the inputs vary, and we start it read-only.

Which systems do you build on in it and technology services?

The ones you already run. We start with capability you license and nobody switched on, and we take no margin on anything we recommend. If a different tool would remove a real roadblock, you get the case and the switching cost in writing.

Thirty minutes. Worst case, you lose half an hour.

Bring one process. You leave knowing which level it's on, what to fix first, and whether it's worth doing anything at all.