Repetitive work
High-volume tasks that are still typed, searched or forwarded by hand.
AI audit for companies
We find where artificial intelligence and custom software can save hours, cut errors and reach production. Digitup’s team does the analysis, from Madrid.
An audit to decide what to build
Plenty of companies hear about AI and still do not know where to start. This is not an automatic questionnaire or a list of fashionable tools.
We look at how the business actually works: processes, data, systems and who can decide. You get a map of opportunities ranked by impact and effort, plus a concrete implementation proposal.
What you get
A working document, not a generic deck. Use it to decide internally, or to have us build what it recommends.
Process map
What gets done, who does it, how often, and where time or errors pile up.
Learn morePrioritised opportunities
AI, automation or custom software, ordered by operational impact and real effort.
Learn moreReturn estimate
Hours, avoided errors or recoverable revenue, calculated from the process itself.
Learn moreImplementation roadmap
Phases, dependencies and which case should go to production first.
Learn moreRecommended architecture
What to build, what to integrate with tools you already use, and what to leave alone.
Learn moreDelivery session
We walk through the report and the action plan with the people who decide.
Learn moreWho it is for
Companies that want to apply AI with judgement, before spending on development. It fits law firms, clinics, insurance, real estate and any operation where the work repeats or the information is spread across people.
Scattered information
Answering a client or a colleague still means asking someone who remembers.
Leadership without a plan
AI comes up everywhere and there is still no clear order for what to do first.
Law firms and accountancies
Files, drafts and client questions the team answers again and again from the same documents.
Client operations
Insurance, real estate, clinics or recruitment: appointments, follow-up and paperwork that still sit with specific people.
Scattered AI trials
The team already uses generic chatbots, and the next step is tying that to the work, the data and the people who decide.
How it works
Discovery session
We learn the business, the processes and the real pains. You do not need to prepare a dossier.
Processes, data and systems
We review the tools you have, where the information lives and what is still done by hand.
Opportunities
We separate what needs solid software, an automation, or an AI case with a measurable return.
Prioritisation
Ranked by impact and effort. One well-chosen case reaches production sooner than five at once.
Delivery and plan
Report, roadmap and a closing session. The document is yours whether you build with us or not.
10+ years of experience50+ projectsFrom audit to productionTeam in MadridThe report is yours
Frequently asked questions
What is an artificial intelligence audit for a company?
It is a look at how the company actually works, to decide where AI, automation or custom software will matter. It covers processes, data, systems and who can validate the result. The outcome is a list of concrete opportunities, not a catalogue of technologies.
What does Digitup’s AI audit include?
A map of the processes reviewed, prioritised opportunities, a return estimate based on the case, an implementation roadmap, an architecture recommendation and a delivery session with the action plan.
How do you estimate the return?
From the hours the process takes today, the cost of that time, and the share a solution can realistically take on. Measurable side effects count too, such as avoided errors or faster replies. We do not use generic claims that “AI saves 40%”.
Do we need a lot of data to use AI?
Usually, no. Training a model from scratch needs huge volumes. Current projects connect existing models to your information. What matters is that the data exists and can be reached, not that you have a giant warehouse of it.
Which cases tend to have more impact?
High volume and low judgement: pulling data out of documents, searching internal files, answering frequent questions, drafting repeated reports or sorting requests. The flashier cases can wait for a second phase.
What if we do not implement anything afterwards?
The report is yours. Use it internally, build it yourselves or with another team. There is no lock-in.
Do we need to prepare anything before the session?
No. We need someone who knows the day-to-day operation, usually leadership or the person who owns the process. We guide the conversation.
Where is Digitup Studio?
We are in Madrid. We work mostly remotely and meet in person when the project needs it.
Start with the audit?
Tell us which process eats the most time. We will see whether it is worth auditing and how to take the solution to production afterwards.