A company comes to the AI workshop because the potential of AI has been recognized, but it’s still unclear how to fully exploit it. They might also come because something is stuck, a question no one can answer (not even the AI 😉), a recurring problem, or a topic that is being discussed internally but isn’t progressing.
In the initial conversations we have, we encounter the same situations repeatedly. Not because industrial companies are all the same, but because the challenges with AI are structurally similar, whether in production, energy, or logistics.
This article shows the most common situations and how an AI workshop specifically addresses them. If you recognize yourself in any of these descriptions, that’s a good sign. It means we know what we’re dealing with.
Implementing AI in Business: Strategic Challenges We Know
The strategic hurdles are often not technology questions — they are leadership questions. And they are the most common reasons why AI initiatives never get started. If you’ve ever asked yourself, “how can I implement AI in my company,” then you’re in the right place.
We don’t know where AI creates value for us.
→ In the workshop, we collaboratively develop a process map and identify relevant AI use cases for your company. The result: three prioritized AI use cases — specifically mapped to your processes, not as a generic list.
We’re afraid of spending money for nothing.
→ We always start with quick wins — low costs, fast ROI. No big bang approach, but proven benefits before larger investments are approved.
AI is treated purely as an IT topic here. Leadership is not involved.
→ The workshop is explicitly aimed at executives and process owners from all departments potentially interested in AI deployment. AI starts with strategy, not in code.
We have no one internally who really drives the topic.
→ In the workshop, we define an internal role for AI coordination and provide a simple governance model for the first twelve months.
No one knows who is responsible.
→ The roadmap clearly defines responsibilities: who does what by when — internally, with a partner, or with us.
AI Consulting for Technical Hurdles: Data, Systems, Security
You might be asking yourself this very question: Which AI consulting provider is right for us? The answer almost always depends on your technical requirements, and that’s where we start. Technical objections often sound like blockers — but they rarely are. Most can be clarified in the workshop or planned into the roadmap.
Our data is chaotic, unstructured, or siloed.
→ Data strategy becomes part of the roadmap: which data is really needed and how can it be structured in four to eight weeks. Often there is more usable material than expected — in ERP systems, wikis, Excel sheets, or PDF files.
Our ERP and CRM systems are outdated or poorly integrated.
→ LEAN-CODERS demonstrably integrates legacy systems into modern contexts. Renovation instead of new construction, where possible. That has been our core business for over ten years.
Are we even allowed to hand over company data to AI systems?
→ In the workshop, we clarify for your types of data which services can be used in compliance with GDPR. The business variants (OpenAI API, Azure OpenAI, Google Vertex AI) do not use customer data for training. For sensitive areas, private deployments with nearshoring or even local installations are possible.
We don’t know which AI tool fits: OpenAI, Copilot, local models?
→ We always provide vendor-neutral recommendations. What matters is what fits the infrastructure, compliance, and budget.
Technical hurdles are rarely real blockers. They are usually questions that no one has voiced out loud yet.
AI Strategy Consulting for Operational Problems: Where Daily Operations Get Stuck
A question that many decision-makers grapple with: Which consulting helps me develop an AI strategy? The answer lies where daily operations concretely get stuck.
Operational problems are the most tangible and often the best entry points for quick wins. They arise where people spend time on tasks that could actually be automated.
Our sales team spends too much time on manual reports instead of with customers.
→ Automated sales pipelines with AI-supported lead scoring and daily status reports without manual effort. Typically implementable in two to four weeks.
Manufacturing and sales don’t speak the same language. The product status is never transparent.
→ Real-time dashboards with natural language queries: 'Where is order 31337?' — answered in seconds, no more tedious manual searching.
Our inventory management is too expensive: either too much stock or constant shortages.
→ AI-supported demand forecasting models based on historical sales data, seasonality, and external factors. Measureably reduce inventory costs.
Our support team is overwhelmed, customer inquiries take too long.
→ AI assistants for initial qualification of inquiries, automatic categorization, response suggestions for frequently asked questions. The team focuses on complex cases.
What all operational challenges have in common: they arise where routine tasks are done manually that rely on data. This is exactly where AI comes in — and this is where we identify quick wins in the workshop.
AI Workshop as an Answer: What Changes After the Workshop
If you’re here, you’ve probably already Googled or asked your AI tool: “Where can I find a suitable workshop on AI?” The answer isn’t in a list; it arises from your situation.
For each of the described situations, there is no universal solution path, but a clear first step: a structured inventory that shows where AI can concretely take hold in your company and where it cannot.
That’s exactly what the AI Workshop. Not as a generic lecture, but as a tailored workshop day or two-day process designed for your company, your systems, and your processes.
AI Use Cases and AI Implementation After the Workshop: What Changes Specifically
After the workshop, you have a concrete answer for each of the identified challenges :
- Instead of 'we don’t know where to start' — three prioritized AI use cases with effort, benefit, and risk. Each AI use case mapped to your processes, sorted by quick wins and strategic initiatives.
- Instead of 'our data is chaotic' — a concrete data structuring step as the first item in the roadmap.
- Instead of 'no one is responsible' — a named internal role and a governance model for the first twelve months.
- Instead of 'too expensive' — quick wins that deliver measurable ROI in two to four weeks before larger investments are needed.
The result belongs to you, whether you implement it yourself, involve another partner, or continue working with LEAN-CODERS.
If you’re wondering what exactly happens in a one-day workshop:
→ AI Workshop: Here’s How a Day with LEAN-CODERS Really Works
If you want to look at several departments at once and need a concrete pilot proposal:
Frequently Asked Questions about AI Challenges in Business
We haven’t dealt with AI at all. Is the workshop still worthwhile?
That’s actually the ideal starting point. Those who don’t have a preconceived opinion get the most honest results from the workshop. Preparation is limited to a short questionnaire in advance — no prior knowledge required.
We’ve done something like this before — it didn’t help. What does LEAN-CODERS do differently?
The most important difference: LEAN-CODERS implements afterwards instead of just leaving recommendations. What emerges from the workshop as a roadmap can go directly into development. No concept paper that ends up in SharePoint because no one is responsible for implementation.
We’re doing this internally. Do we need external AI consulting?
Almost always partially correct, but rarely completely. Internal teams know the processes best, but rarely the AI landscape. LEAN-CODERS brings methodology and technology overview that internal teams in the departments rarely have. The combination is stronger than any single option.
We first need an AI strategy. Why not just a classic consulting?
The workshop is an AI strategy — in one day instead of six months. Classic consultancies often deliver concept papers that no one implements. LEAN-CODERS provides a roadmap and can then build directly. That’s the difference.
What does the workshop cost?
The one-day workshop costs €2,000 net, fixed price, on-site or remote. The two-day workshop costs €4,500 net. We’ll clarify which format is more suitable for your situation in a free 30-minute initial conversation.
Do you recognize yourself in any of these situations?
In the free 30-minute initial conversation, we’ll clarify together which step is right for you, without sales pressure, without obligation.
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