AI Opportunity Assessment and business case, priced before you build
An AI opportunity assessment maps the work as it is actually done, finds where cost, delay or error concentrate, and prices what changing it is worth.
€4.19Mtotal modelled roadmap value for a construction consultancy
When to start with an AI business case
It is the right service when the situation sounds like this.
- Everyone says we need an AI strategy. Nobody can say where the money is.
- We ran a pilot. It worked in the demo and nobody uses it.
- The board wants a number before it approves anything.
What the AI opportunity assessment includes
- Process mapped from the real operating environment
- Data and integration constraints checked before scoping
- Phased investment case, with modeled value stated as modeled
How it works
- 1
Describe the expensive work
The workflow that costs too much, the decision that takes too long, or the product gap you think AI closes.
- 2
We test whether AI is the answer
Sometimes it is not, and an integration or a process change is. You get that answer before you get a proposal.
- 3
Validate the data and the constraints
Availability, quality, permissions and integration surface, checked before anything is scoped or priced.
- 4
Build the first use case properly
One system in production, with the evaluation and human sign-off that make it safe to rely on.
Engagement models
Discovery first in nearly every case. What follows depends on whether you are buying a defined system, engineering capacity inside your team, or ongoing ownership.
- Discovery, then Statement of Work
- Best for: A defined system with a scope worth fixing
- How it works: Paid opportunity and feasibility work, then a Statement of Work for the build
Case studies
The work mapped first, then the AI and automation priced against it. Modelled figures say so in their own label.
- €4.19M total modelled roadmap valueMapped 300+ process steps and designed a phased roadmap of three automation engines, including locally hosted AI, with a business case behind each.Construction project management consultancy (Tier 2 Mittelstand), Germany
~3–4 hours a day freed up for the principalAnalysed the office’s most time-consuming processes and built no-code AI agents for meetings, the knowledge base and financial reporting.No-code AI agents for a lean investment office, Germany
What clients say
“Intelvision’s project management is consistently strong.”
Christopher WeindlCEO, ING+
“They effectively prioritized our business needs, adhering to the budget, which we found valuable.”
Pavlo PotichnyiCEO, Swiss Scholar
“Intelvision provided solid tech expertise and the ability to come up with an effective software architecture.”
Kyle McLoughlinClient, Dublin
“Intelvision provided us with a full team that joined the project quickly and without delays.”
Andrew DenysovClient, Pennsylvania
AI business case questions
Can a business case cover AI and automation opportunities?
Yes. We assess automation potential, AI suitability, and data readiness as part of the technology analysis. One engagement turned a small efficiency request into a €4.19M self-funding AI roadmap.
How do you calculate the ROI of a custom software project?
We quantify current-state costs, potential upside (revenue, savings, efficiency, risk reduction), required investment, and dependencies — then sequence the roadmap so early phases fund later ones.
What if the analysis shows the investment is not worth it?
That is a valid outcome. The business case ranks every opportunity on an effort × value matrix — you fund the quadrant that pays first and skip what does not.
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Start with an AI opportunity assessment
The slow, costly or error-prone part of the operation. We will tell you whether AI changes it, what it would take, and what we can and cannot evidence.
Talk to an expert
Yurii Kotula
CEO and Engineering Leader
Your first call is with Yurii. Send the form, or pick a time in his calendar.
Book a call with Yurii