Services
AI Opportunity Scan
Clarity on where AI and automation actually pay off for you – before you invest in building.
An AI Opportunity Scan is a structured analysis of your processes, ideas and manual workflows that identifies the most useful AI and automation opportunities and prioritizes them by value and feasibility – before anything gets built.
- A fit for you if
- You sense AI or automation potential in your workflows but don't know where the first step would pay off most.
- Typical starting point
- Several manual processes and early AI ideas exist, but there's no reasoned order of what's actually worth tackling first.
- What I actually do
- I review your processes, tools and ideas in a structured way, assess AI and automation potential using my own ROI framework (cost, value, time horizon, risk), and sort it all into a clear order.
- Result
- A prioritized overview of concrete opportunities plus a reasoned recommendation for the most useful next step.
- Duration & format
- A focused first conversation plus a structured analysis – scope depends on how many processes are reviewed.
- Example project
- Often the first step before an Automation Build or a Custom Application – see the reference projects. →
Many companies sense there's potential in their workflows: manual routines, tools that don't talk to each other, recurring handwork. What stays unclear is where AI and automation actually pay off – and where they only add overhead. Without that clarity, either the wrong things get automated or good ideas simply sit still.
The AI Opportunity Scan comes in right before that point. Instead of building straight away, your processes, ideas and manual workflows are reviewed in a structured way and the most useful levers are prioritized – by value and feasibility. The result isn't a gut feeling but a reasoned order of play: what to do first, what later, and what to leave alone.
What you get
- A structured overview of your analyzed processes and ideas
- Concretely named AI and automation opportunities, not just generic recommendations
- A prioritization by value and feasibility (quick wins vs. larger initiatives)
- An assessment of where AI truly fits – and where classic automation makes more sense
- A transparent ROI derivation instead of a single polished number
- A recommended next step: sprint, automation build or custom application
How it runs
- Step 1
Take stock
We review your processes, tools and ideas and gather the relevant workflows.
- Step 2
Analyze
We assess each workflow for AI and automation potential and weigh value against effort.
- Step 3
Prioritize
We sort the opportunities by impact and feasibility into a clear order.
- Step 4
Recommend
You receive a transparent assessment with a concrete next step.
A fit if
- You sense AI or automation potential but don't know where exactly to start
- You don't want to build blindly, but know the right order of play first
- You have many manual workflows and want to tackle the most rewarding ones first
- You need a solid basis for a decision or an internal discussion
FAQ
How does the scan run and how long does it take?
The scan starts with a structured conversation about your processes, tools and ideas. After that, the workflows are analyzed and the opportunities prioritized. The scope depends on how many processes are reviewed – we agree on the right frame beforehand in a free first conversation.
What do I concretely have in hand after the scan?
A prioritized overview of the most useful AI and automation opportunities in your business – ordered by value and feasibility. Plus a clear recommendation on which next step delivers the most. The result is valuable even if the implementation later happens with a different partner.
Do I have to commit to implementation after the scan?
No. The scan is deliberately a standalone step that creates value on its own. Whether and with which entry point you start implementation is entirely your call afterwards – the recommendation is orientation, not an obligation.
Where does the prioritization come from – is it a fixed methodology?
Yes. The prioritization follows my own ROI framework, which combines upfront and ongoing costs, hard and soft value drivers, a realistic time horizon, and AI-specific risk – validated against real projects, not just claimed.
Have an idea worth building?
Other services
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See details →