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What does your company do?
Claudio Consult helps businesses practically implement AI in internal processes and workflows. We started as a more high-level consulting agency, but we’re now focusing on developing larger-scale solutions with our clients.
What challenges do you frequently face when you're integrating new technologies into existing business processes? How do you solve them?
Managing the adoption of the new process into the existing business processes can be a major challenge.
AI has the potential to automate or expedite parts of almost any process, but the results will only come to life if the end user is willing to change their current pattern. To solve this, we focus on finding the incentive to motivate the user to get onboard with this project, such as freeing up X hours that they can spend on more value-creating work. It’s important that everyone agrees on what defines this motivation so all parties know exactly what we are working towards.
How do you stay human-centric when dealing with tech integrations?
The other key part of solving the adoption challenges I mentioned earlier is designing the solution to fit end users’ expectations and their ideal workflow.
This involves including the client from the very beginning of the project, where we typically map out the current process step by step and compare it to the perceived ideal workflow. From here, we know what to work towards and can start iteratively building demos, minimum viable products, and proof of concepts to drastically increase the chance of success in the project.
What's one thing you'd like more businesses to understand about integrating technologies?
The technology itself is very rarely the biggest challenge. The more important things are the process itself, the people involved, and the data. We need to be looking at these first, and from a holistic view.
What tech advances for 2025 would you like to share with clients?
With the latest breakthroughs in AI’s "reasoning" capabilities, debates will naturally occur around whether these tools will have a real impact or whether they’re just hype.
In my opinion, the jet engine is being built right in front of our eyes; given the right "context" (tools, data, instructions, access etc.), truly game-changing results are within reach.
I suggest that we stop fixating on what is being built, assume that things will become better and more stable over the next years, and instead look at what we can support with these tools. Think about how we can carry out value-creating tasks. This starts with reverse engineering a process and asking questions like "What context (previous definition) would an AI model need to be able to help in this process?". Follow-up questions could be "Which steps are dependent on intelligence and which can be more traditionally automated without involving AI?" or "If we don't have enough context now, what can we change moving forward to ensure we don't get left behind?".
Finally, I advise companies to look out for the term "Agentic AI" in 2025. All indicators point to this being the year where we really start to see AI proactively completing tasks in more and more areas.
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