AI Readiness Audit

Before you automate,
check the foundations.

The AI Readiness Audit is the first step of any automation or AI project, and the entry point into Leiven Lab. It checks whether your data and your processes are ready, and pinpoints where automation pays back fastest.

Most automation projects fail on the data underneath, not on the technology. We start there.

What it is

A data-first diagnostic,
before the hype.

The AI Readiness Audit looks under the hood. Before anyone talks about tools or models, it checks whether your data is usable, your processes are clear and your automation targets are real. The output is a grounded view of what you can automate now, what needs preparation, and what is not worth the effort yet.

01
Data-first.

Automation only works on solid data. We assess quality, structure and availability before anything else.

02
Process-aware.

A messy process does not get better automated, it gets faster at being messy. We map the workflow before we automate it.

03
Honest.

No hype. We tell you where automation pays back and where it doesn't.Our recommendations serve your outcomes, not a product.

When to run one

Run it before you invest,
not after.

The AI Readiness Audit belongs at the very start, before budget is committed to a platform, a tool or an automation build. It is the step that tells you whether you are ready, and what to fix first if you are not.

01
You have an automation idea

A team has spotted a process worth automating, manual, repetitive, time-consuming. The audit confirms whether the data and the workflow can support it, and what it would really take.

02
You are about to invest in AI

A platform or an AI initiative is on the table. The audit checks the foundations first, so you commit on evidence, not on a vendor's promise.

How it fits

One audit,
two ways in.

The AI Readiness Audit works on its own, or as the mandatory first step of a wider automation program. Either way, it answers the same question before any money is spent: is this worth doing, and are you ready?

01
Stand-alone

A team wants to automate something specific and needs to know if it holds up. The audit checks the data, the process and the payback, then tells you whether to proceed, and what it would take.

02
First step of an automation program

Before a larger build begins, the audit confirms the project makes business sense and the foundations can carry it. It can also surface the work to do first: data to clean, systems to connect, processes to clarify, so you do not build on sand.

What it opens

A clear path to
automation that pays.

Once the foundations are confirmed, the audit opens the door to our automation offers, built around the functions where automation delivers the fastest return.

Sales.

Book more meetings and close more deals, with less time lost to manual work.

HR.

Hire the right talent faster, and free recruitment and onboarding from admin.

Finance.

Close the month faster and get paid sooner, with fewer errors along the way.

Operations and procurement.

Move from purchase to payment without the manual handoffs.

Customer service.

Resolve more requests faster, and keep your team on what truly matters.

Who it's for

Built for teams
who want more impact.

The AI Readiness Audit starts with the teams who want to free their time, increase their impact and focus on what truly matters.

Business teams
chasing efficiency

Sales, finance, HR or operations leaders who want to free their time from manual work and raise their impact where it counts.

IT, data and
digital leaders

The people who need to know whether the foundations can support automation before any commitment is made.

CEOs and
executive sponsors

Especially in leaner organisations, where the readiness call and the investment decision sit with the same person.

Common questions

What teams ask
before they start.

What exactly does the AI Readiness Audit check?

Three things: whether your data is usable, whether your processes are clear enough to automate, and where automation would pay back fastest. It tells you what you can automate now, what needs preparation, and what is not worth it yet.

Do we need an automation project already in mind?

No. The audit works whether you have a specific idea to validate or simply want to know where automation could help most. It can run on its own, or as the first step of a wider program. Either way, it is a fixed-price engagement.

What if our data or systems are not ready?

Then the audit says so, clearly. It surfaces the work to do first, data to clean, systems to connect, processes to clarify, so you do not invest in automation that cannot deliver yet.

Is this about AI, or about automation?

Both, and the order matters. Most value comes from automating clear processes on solid data. The audit checks those foundations first, before any talk of copilots or autonomous agents.

What do we get at the end?

A grounded view of your automation potential: what is ready, what needs work, and a ranked list of opportunities by payback. A clear basis to decide what to do next.

What happens after the audit?

If the foundations are there, the audit opens our automation offers, across sales, HR, finance, operations and customer service. If they are not, it gives you the roadmap to get ready first.

See what automation can bring to your teams.

In a few days, get a clear view of what automation could change for your teams, and a roadmap to act on it.

A short, no-pressure conversation to see if and where automation fits.

Operated by Leiven Lab.