Hours in one process
That's how much work one process eats up monthly — here, purchasing and cost invoices.
Find where time is being lost. An audit based on conversations with your team, data, and real measurements of activities. A way to learn where change should begin.
What we usually find
Your numbers will be different — but they'll be calculated the same way, using your data.
That's how much work one process eats up monthly — here, purchasing and cost invoices.
Tasks where a person resolves nothing — these are where we start.
Depending on the system, the same figure has a different value.
Exceptions handled manually because the official process doesn't cover them. Is that percentage still an exception?
When it makes sense
What it looks like
Choose a week to see what happens in it.
We talk to the people doing the work — not just management. We ask about specific situations from recent weeks, not opinions. That's when people say things that aren't in any procedure.
Order of magnitude
Choose a process, enter how many people work on it and how many hours it takes them each week. See how much time technology could save.
Reading invoice data, the approval flow and posting to the ERP can be automated almost entirely. A person stays on exceptions and amount decisions.
Technology typically removes around 62% of the work in this process. This is an order of magnitude, not a promise — measurement in your company gives the real number.
Let's check it against the evidenceWhat you keep
Not a presentation about the potential of AI. Documents you can take to any supplier.
The real flow, not the one in the manual. With manual-work points and places where someone waits for someone else clearly marked.
Monthly hours in every step, based on a document sample rather than a survey. Decision work and non-decision work shown separately.
The places where technology can genuinely improve the process and a shortlist of solutions that integrate well. Including what you can do yourselves, without us.
What to check when selecting a solution: how it integrates, what it genuinely changes, and what it does not promise. The report is yours, whoever implements it.
The diagnosis is paid for and deliberately separate from implementation. If the report shows you don't need AI, we'll say so directly — that's often the reason the audit pays for itself.
Questions
Not seeing your question? ALT knows how we work and will answer straight away — including when the answer is “this is not a task for AI”.
Ask ALTA few short conversations spread over four weeks, plus handing over a data sample. We don't ask you to fill in spreadsheets or prepare reports for our sake.
No. We can work on a data sample that can be anonymised — we're interested in the structure and volume of operations, not document content. We sign an NDA before the first conversation.
The report is yours and includes pointers on what to look for when choosing a solution — including ours. You can act on it at any time: yourselves, with us, or with another vendor.
We check the technology layer — applications, work environments, data flow between systems. But we also assess the work of the people around those systems, because that is usually where the chaos lives.
Usually for the better. The data exists, it just isn't always used. A common outcome is switching on what you already paid for.
Chaos Scan will show whether a diagnosis makes sense for your company at all.
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