AI consulting for business
AI consulting: what makes sense, and what can be built?
My AI consulting is for small businesses, trades companies, and SMEs that want to use AI well. Show me a workflow that costs time or keeps getting stuck. Together, we assess whether artificial intelligence (AI) will genuinely help, what data it needs, and where your team must decide. You will then know what is worth building and where we should start.
A good time for consulting
When technical AI consulting is worth it.
AI consulting is useful when a few honest questions still need answers before anything is built.
- 01
The team has several AI ideas, but nobody knows which one will deliver enough value first.
- 02
ChatGPT or other AI tools are already being tested, but everyone works differently.
- 03
Email, PDFs, or customer data should be used, but access and processing rules are unclear.
- 04
CRM, industry software, or file storage needs to remain in place and work with the new workflow.
- 05
The business needs an honest assessment of value, effort, and technical limits.
- 06
AI may prepare the work, but important decisions need to stay with the team.
Deliverable
What you have in hand after AI consulting.
The result is not a general AI concept. It is a straightforward workflow and implementation plan that gives you a clear basis for a decision and gives me what I need for a concrete delivery proposal.
Use case and goal
We record which specific task should become easier and how you will recognise a real improvement in daily work.
Data and sensitivity
We look at the actual sources, such as inboxes, PDFs, or spreadsheets, and decide what may be used.
Systems and handoffs
We trace where information arrives, moves on, or gets stuck between CRM, email, and file storage.
Decisions and approvals
We state what AI may prepare, where a person must decide, and how normal, incomplete, and high-risk cases are handled.
First functional scope
We make the first version small enough to test in daily work while still taking a meaningful task off the team.
Success, cost, and next step
You receive a measurable success criterion, a realistic range, a sensible sequence, and clearly named open risks.
Consulting and delivery
Clarify first. Then build deliberately.
As an independent Forward Deployed AI Engineer, I work with your team on AI transformation in practice: from a concrete use case through implementation, production rollout, and handover.
Before building
Together, we decide what is genuinely needed and what can wait.
- goal and concrete use case
- email, documents, and other data sources
- existing systems and access rights
- risks, exceptions, and approvals
While building
I implement the agreed first step so your team can review it and use it in daily work.
- data routes and integrations
- working view and status
- approvals and failure paths
- testing, documentation, and handover
Approach
You show me the workflow. I turn it into a practical first step.
You do not need a finished specification. One concrete workflow and a few real examples are enough to begin.
- 01
Name the decision
What should become easier, faster, or safer? We agree on how you will recognise genuine progress.
- 02
Put the data and systems on the table
Together, we look at email, PDFs, spreadsheets, CRM, or industry software and clarify access and handoffs.
- 03
Set honest limits
What may AI prepare, where must someone review, and which failures must never pass silently?
- 04
Shape the first step
I bring the current and future workflow, the boundaries, the evaluation cases, and the first functional scope together in one readable workflow and implementation plan, with sequence, cost range, and acceptance criteria.
Common questions
The questions that usually come first.
What is the difference between AI consulting and AI automation?
During AI consulting, we decide which use case makes sense, which data and systems are involved, and how small the first version can be. During AI automation, I build and integrate the agreed solution.
Do we need to know which AI tool we want to use?
No. Please do not choose a tool or model too early. The task, data, sensitivity, and required integrations need to be clear first.
What does technical AI consulting cost?
The first assessment is free. A ai workflow sprint is typically 1,000 to 2,500 EUR according to the published guide prices. The sprint does not commit you to a follow-up implementation. If you place that order within 60 days, 50 percent of the sprint fee is credited toward the project.
Can Nori Works implement the recommended first step?
Yes. That is exactly what the technical AI consulting is designed for. If the plan works for you, I build the first version myself and integrate it into the existing workflow.
Can AI consulting take place on site in Schongau?
Yes. We can meet in Schongau or elsewhere in the Upper Bavaria region. The work also runs well online and with businesses across Germany.
Next step