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AboutContact
Free intro call

Still have questions? Free intro call or write to us.

Contact

Email: [email protected]

Phone: 01516 7732274

Locations

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KI-Use-Case-Analyse

Foto: Landiva Weber · Pexels

Consulting

KI-Use-Case-Analyse

You find the first AI use case that truly saves day-to-day work and is small enough to start.

Free intro call

About this consulting offer

We walk your processes with you and tell you where to begin: which job eats time every week, which data must exist for it, and whether AI, automation, or none of that is the right start.

Many owners feel pressure to do something with AI. At the same time knowledge, specifications, and handoffs sit in heads, folders, and tools — without being linked in a usable way.

We walk your processes and assess concrete situations: Where does work repeat, where is data missing, where must a person decide? That yields a prioritized list with effort, value, and a start recommendation.

If a prototype follows, we also clarify operations: hosting with us, your own on-premises hardware, or a German cloud. From day one it is clear where the data lives.

Audience

You want to start with AI but still lack a solid use case and do not want to spend budget on a toy.

Duration

6–8 Wochen

How it fits together

First we clarify the bottleneck, then we build this solution and connect it to the tools your team already uses.

  1. 01

    Hier

    Clarify

    Together we sort ideas by daily work, data, and value.

  2. 02

    Absichern

    If needed we test the favorite with a prototype.

  3. 03

    Build

    Then it moves into a concrete service delivery.

What this can look like

Typical situations from consulting, engineering, and technical teams. Not client case studies.

Beispiel 01

Engineering office

Ausgangslage

Leadership sees many options: knowledge search, proposal drafting, project status, assistants. Nobody knows where to begin.

Ergebnis

Use-case list with scoring and a proposal for the first small slice — often knowledge search or proposal prep.

Beispiel 02

Recruiting firm with a team

Ausgangslage

Customer questions, document search, and internal ideas cost time, but not everything is worth an AI project.

Ergebnis

Prioritization of ideas and a decision on which flow to test first.

Inhalte

  • Capture processes, bottlenecks, and recurring tasks
  • Separate AI, automation, and simple process changes
  • Assess data landscape, risks, and effort
  • Ersten umsetzbaren Schritt festlegen

Typische Fragestellungen

  • Where do we lose time every day?
  • Which idea is small enough to start?
  • Which data and access do we need?
  • Was muss ein Mensch weiter entscheiden?

Ergebnisse

  • Priorisierte Use-Case-Liste
  • Estimate of cost and feasibility
  • Empfohlener erster Schritt

FAQ

Is our company too small for an AI analysis?

No, if you have recurring work and face a decision. The point is to start small and avoid unnecessary projects.

How does the fixed price work?

Together we define how many conversations, which processes, and what you get in writing at the end. That is the scope — and the price.

Do we have to hand over data?

For analysis, examples, screenshots, or process descriptions often suffice. If a prototype follows, we clarify hosting with us, your own hardware, or a German cloud.

Do we need IT, and who supports afterward?

Not necessarily for the analysis. Afterward we can support the first prototype, delivery, or maintenance.

Does the analysis replace our industry software?

No. It shows where existing software can be extended, connected, or used better.

Often pairs with

All consulting
  • Foto: Robert Clark · Pexels

    ConsultingKI-IntegrationA plan for which systems (CRM, ERP, mail, files) get connected, where data lives, and how your team uses the solution day to day — before anyone builds.
  • Foto: Steve A Johnson · Pexels

    ConsultingKI-StrategieA sequence for the next months: where to start, which data rules apply, what waits. Written so you can build afterward — not as a slide stack.
  • Foto: Diana ✨ · Pexels

    ServiceRetrieval Augmented Generation (rag)Your team asks for manuals, FAQs or quotation modules in everyday language and sees the source — instead of digging through PDFs and network drives while customers wait.

Book a free intro call

Julius Haring, founder of aixRun

“In 30 minutes we clarify which asset — knowledge, relationships, specifications — justifies a system, and what the smallest useful slice is.”

Julius Haring, founder of aixRun
No obligation and free. One contact from idea to running system.

Free intro call01516 7732274[email protected]Contact form