What is an AI process audit and what should you get?

Most companies we talk to have already tried ChatGPT. Many have seen an AI demo that looked impressive. Far fewer know which part of their own work AI should take over first, and what that would pay back. An AI process audit is meant to answer exactly that question, before anyone spends money on development.

In this article we explain what an AI process audit is, what it usually covers, how long it takes and what you should have in your hands at the end. We also show how we run it at EMBIQ, where we call it an AI Process Review.

The short answer

An AI process audit is a short, structured look at how work really flows in your company, with one goal: to find the places where AI and automation pay back fastest. It starts with your processes, not with a model, a vendor or a technology. At the end you should have a map of your key processes, a short list of priorities, an estimate of the effect and one first step you can start with.

It is not a large transformation programme, and it does not commit you to anything. A good audit makes the next decision easier, whichever way it goes.

What an AI process audit is, and what it is not

There is no single standard for an AI process audit. Providers use different names, such as AI audit, AI readiness audit or AI process review, and different scopes. Offers on the market typically last from about one to four weeks, and most of them end with some form of process map, a list of use cases and a plan.

A useful distinction is between readiness and processes. An AI readiness assessment usually looks at your organisation and your data: skills, infrastructure, data quality, governance. A process audit starts somewhere else: where your team's time goes and which steps repeat every day. Both are legitimate. If your question is "where would AI save us hours first?", the process view gets you to an answer faster.

An AI process audit is also not a sales demo. If the result is a list of products from one vendor, it was a demo with a different name.

What an audit should look at

The best candidates for AI are not the most impressive tasks. They are the ones that repeat every day and take the most time. In our reviews we usually look at six areas:

• Calls and enquiries. Who answers first, how fast enquiries get a call back and what happens after hours.
• Quotes and offers. How long a quote takes and how much of it is copied from catalogues and price lists.
• Documents. Invoices, orders and forms that someone retypes into another system.
• Customer questions. Questions your team answers again and again, and where the answers come from.
• Company knowledge. Procedures and product knowledge kept in documents or in a few people's heads.
• Data between systems. Where data is moved by hand between your ERP, CRM and other tools.

Not every area matters in every company. Part of the audit is deciding which ones to skip.

What you should get at the end

Whatever the provider calls it, ask what you will have in your hands after the audit. From our review you get four things:

1. A map of your key processes: how work really flows, who does what and where time is lost.
2. A short list of where AI pays back fastest: the places where AI and automation bring the biggest gain first.
3. The effect in hours and money: an estimate for each item, so you can compare options before you invest.
4. A first step: one recommended step you can start with right away, with us or on your own.

If an audit ends with a long list and no estimates, you still do not know where to start. If it ends with an estimate but no first step, nothing happens on Monday.

How long it takes, and why on site matters

Our review usually takes from one day to a week, depending on how many processes and teams we look at. That is shorter than most offers we have seen, for a simple reason: we look at processes, not at the whole organisation, and we do it in person. The review has four steps:

1. A call to agree the scope. We talk about your company and choose the processes to look at. Then we prepare a quote for your case.
2. A visit to your company. Our analyst comes to you and talks to the people who do the work.
3. Analysis. We map the processes that take the most time and estimate where AI pays back fastest.
4. Your results. You get the process map, the priorities, the expected effect and a recommended first step. You decide what happens next.

Online is possible, but on site we see the work as it really happens. People often describe a process one way in a meeting room and do it another way at their desk, and the difference is often exactly where the time goes. We can sign an NDA before the visit, so you can show us how your processes really work.

An example: from one repetitive step to a working voicebot

One of our public case studies shows what a good first step looks like. A company received a steady stream of enquiries, most of them through online forms. The team did not lack enquiries, it lacked hours: a large part of the day went on dialling, reaching voicemail and repeating the same first sentences, and enquiries that arrived in the evening waited until the next morning.

The first call was highly repetitive, so it was a good candidate for AI, provided the bot did exactly that step and nothing more. We built an AI voicebot that calls every new enquiry back immediately, writes a summary into the CRM the team already used and hands the follow-up to a person. A team of three built it in two months, with GDPR and the AI Act part of the project from the start.

That is the pattern an audit should look for: one step that repeats, a clear handover to people, and systems that already exist. You can read the full story in our article about the voicebot as the first line.

Sometimes the right answer is "not yet". In an AI feasibility study for traffic video analysis, the most useful findings were not about model accuracy: data access and the operating model of the future user mattered as much as the choice of algorithm. An honest audit tells you that too.

Questions to ask before you order an audit

• Does it start with our processes, or with a technology or a product?
• Will someone talk to the people who do the work, ideally on site?
• Will we get an estimate in hours and money for each item?
• Is there one clear first step at the end?
• Will we know the price before the work starts?
• Are we free to implement the result on our own?

For our review the answer to all six is yes. There is no price list: after the first call you get a fixed price for the agreed scope or an individual quote, always before we start.

How we start

We run reviews across the EU, the UK and the USA. Our offices are in Lublin and Graz. If your company is in Austria, see AI automation in Austria; if it is in Poland, see AI automation in Poland.

After the review you decide. You can start the first step on your own or with us: as part of AI process automation we design the integrations, implement the automations and maintain them.

If you would like to know where AI pays back in your company, start with an AI process review or book a conversation with us.