Use cases from the menu — proven solutions instead of a DIY project.
Choose a use case that can realistically be implemented within 90 days. We focus on the 80% that almost every mid-sized company needs.
A holistic program for rapid value creation:
Three pillars, one goal: your future readiness.
Strategy & Enablement
Technology alone isn’t enough. We evolve your organization—from culture to processes—so AI isn’t rejected as a foreign body, but adopted as a tool.
Use Case Implementation
We build what delivers. Together, we implement a proven solution that saves time or costs right away. Focused on impact and fast results—not theoretical tinkering.
Network & Exchange
Don’t learn by making the same mistakes—learn from others. Get access to exclusive events and peer formats with other mid-sized companies facing the same challenges.
In 90 Tagen zum Ziel
Sie können mehrere KI-Use Cases parallel umsetzen oder weiterführende KI-Engineering-Projekte außerhalb des Programms definieren.
Create clarity. We sort out what really matters to you.
- Fundamentals: An easy-to-understand crash course on AI and the new EU law.
- Selection: We identify the use case that delivers the most value for you.
- Tech check: Does your IT infrastructure fit? We assess it.
Outcome: A defined project scope and a clear implementation plan.
Build & learn. We get to work together:
- Use case: We implement a working solution (e.g., automated document review).
- Support: In parallel, we upskill your team on strategy, data, and processes.
- Outcome: A live application and employees who know how to use it.
Keep going. Once the first step is done, we continue supporting you:
- Launch additional use cases in parallel.
- More advanced technical development.
- Long-term support for your transformation.
5 AI initiatives that pay back fastest in mid-sized companies
Personalized customer outreach
What it does: Creates personalized messages based on a customer’s past behavior—e.g., for marketing campaigns, sales outreach, and tailored content by segment.
Value drivers:
+10–30% campaign conversion
−20–40% wasted spend
+5–15% customer lifetime value
Analyze RFPs and create proposals faster
What it does: Analyzes RFP/tender documents, extracts key requirements, and suggests matching products, services, and pricing building blocks to produce stronger proposals.
Value drivers:
−30–60% document analysis time
−20–40% manual errors
+10–20% proposal win rate
Speed up invoicing and reduce days outstanding
What it does: Generates formatted invoices based on data from your sales systems (e.g., customer details, delivery status) using predefined templates.
Value drivers:
−20–60% time spent creating invoices
−5–10% days outstanding
Find and qualify leads automatically
What it does: Automatically discovers and pre-qualifies potential customers and segments to support sales strategy and targeting.
Value drivers:
−20–50% unqualified leads
+10–20% new leads
Team knowledge search in seconds, not minutes
What it does: Enables employees to access internal documents and databases via natural language and intelligent search.
Value drivers:
−30–50% search time
−20–40% manual errors
−20% onboarding time for new hires
Built for mid-sized companies—fully aligned with the EU AI Act and AI compliance.
No fear of regulation. We show you how to deploy AI in a legally compliant way from day one. Every use case is assessed for compliance, transparency, and risk—so you can invest with confidence and grow sustainably, without unpleasant surprises from regulators.
Europe’s AI Champions Trust Us
Track record, not promises.
Over 250 companies, including 23 of the 40 DAX corporations, build on our 8+ years of expertise. With 100+ experts and over 70 implemented applications, we deliver scalable results.
Highest AI expertise, professional collaboration, measurable results: With appliedAI, we were able to successfully and sustainably implement our strategic application.
Rolf Buch – CEO (until Jan. 2026), Vonovia SE
Collaborating with appliedAI’s AI Governance Working Group has been invaluable for us. The structured approach, coupled with real-world case studies and open dialogue, ensures we not only stay compliant with the EU AI Act but also build efficient governance models that keep AI innovation front and center.
Dirk Wacker
Giesecke+Devrient
The appliedAI Risk Classification training significantly improved our understanding of the EU AI Act's implications for projects at Roche. We discussed six real life use cases in detail and it was eye-opening.
Dr.-Ing. Anna Osberghaus
Roche Diagnostics GmbH
Collaborating with appliedAI’s AI Governance Working Group has proved very rewarding. Organizers are always prepared, participants bring a wealth of insights. It’s a unique forum to effectively brainstorm and stay ahead of the AI governance curve.
Geoffroy Pavillet
Data Protection Counsel, Linde GmbH
appliedAI has helped Nokia Standards in the ambitious endeavor to upskill each and every team member to be a good AI Citizen. Together with appliedAI we have jointly tailored an AI literate curriculum exactly addressing the needs in our organization.
Prof. Dr.-Ing. Ingo Viering
Department Head RAN Architecture, Senior Research Manager Nokia Standards
Highest AI expertise, professional collaboration, measurable results: With appliedAI, we were able to successfully and sustainably implement our strategic application.
Rolf Buch – CEO (until Jan. 2026), Vonovia SE
Collaborating with appliedAI’s AI Governance Working Group has been invaluable for us. The structured approach, coupled with real-world case studies and open dialogue, ensures we not only stay compliant with the EU AI Act but also build efficient governance models that keep AI innovation front and center.
Dirk Wacker
Giesecke+Devrient
The appliedAI Risk Classification training significantly improved our understanding of the EU AI Act's implications for projects at Roche. We discussed six real life use cases in detail and it was eye-opening.
Dr.-Ing. Anna Osberghaus
Roche Diagnostics GmbH
Collaborating with appliedAI’s AI Governance Working Group has proved very rewarding. Organizers are always prepared, participants bring a wealth of insights. It’s a unique forum to effectively brainstorm and stay ahead of the AI governance curve.
Geoffroy Pavillet
Data Protection Counsel, Linde GmbH
appliedAI has helped Nokia Standards in the ambitious endeavor to upskill each and every team member to be a good AI Citizen. Together with appliedAI we have jointly tailored an AI literate curriculum exactly addressing the needs in our organization.
Prof. Dr.-Ing. Ingo Viering
Department Head RAN Architecture, Senior Research Manager Nokia Standards
FAQs
The program is specifically designed for small and mid-sized companies (SMEs) across all industries that want to deliberately start, structure, or sustainably accelerate their AI transformation. If you have recognized that AI is not a trend to catch up with eventually, but a strategic lever that needs to be developed now – and you need a clear, practical roadmap covering AI strategy, concrete use cases, and implementation – this is the right program for you.
This is not a theoretical seminar or a loosely structured orientation exercise. It is a structured process that takes your organization from an honest assessment of where you stand today to your first productive AI applications within a defined timeframe – with the goal of not just getting started quickly, but setting up in a way that scales.
Yes – and that is exactly what it is built for. Many SMEs have no dedicated IT department, no in-house data scientist, and no team with prior AI experience. That is not an obstacle. We work primarily with tools that require no programming knowledge and provide technical support where it is needed.
What is required is one person within your organization who drives the topic internally – a project lead or an engaged manager who takes ownership and acts as a bridge between the program and the rest of the team. Technical depth is not a prerequisite for that role. The willingness to drive change is.
The AI program is organized in cohorts that start quarterly, allowing multiple mid-sized companies to join at the same time. Throughout the program, facilitated workshops, individual AI sessions, hands-on work phases, and various exchange formats help companies systematically advance their AI development and implementation. Flexible online sessions make it easy to integrate into day-to-day business.
No. For getting started and building your first productive AI applications, specialized data scientists are not a requirement in most cases. We work primarily with no-code and low-code tools as well as proven partner solutions that can be used without deep coding knowledge and integrate into existing workflows.
Our approach is designed to enable your existing employees – from IT, business units, or operations – to use and develop these tools independently. Building internal AI capability is not a by-product of the program; it is an explicit goal.
By the end of the program, you will have a clearly defined, actionable AI strategy, a articulated AI ambition, and a prioritized, hands-on AI use case. You’ll also leave with a structured portfolio of value-creating use cases, a clear delivery roadmap, and a deep understanding of the organizational, cultural, and technical prerequisites for a successful, scalable AI transformation.
Strategic AI partnerships are critical because no company—especially in the mid-sized segment—can master the complex, fast-moving field of AI on its own. They provide direct access to specialized AI know-how, proven AI technologies, and a strong ecosystem of innovators and best practices. The result: AI initiatives move faster, risks go down, and the impact, scalability, and long-term viability of your AI solutions go up.
Yes – if measurable progress in a short timeframe and solid foundations for the next stage of scaling are the goal. Companies that have already gained initial AI experience often face the same problem: experiments accumulate, but a clear path to scale is missing. The Accelerator creates exactly that – structured foundations that don't slow down further development, but enable it.
The program is therefore not only relevant for organizations just getting started. It is equally valuable for companies that want to consolidate and prioritize their existing AI activities and put them on a foundation that genuinely holds.
Speed and scalable architecture are not mutually exclusive – but they don't emerge on their own. Throughout the program, fast implementation results are coupled from the outset with clear standards: defined responsibilities, clean processes, and an operational foundation that makes the next step easier, not harder.
In practical terms, this means every AI application built during the Accelerator is designed to be handed over, operated, and developed further – without having to start from scratch at the next stage. Speed without structure is not progress. Both together are.
Prioritization for SMEs means: less is more. We focus on the AI applications that offer the highest measurable value and can be implemented with realistic effort – no ambitious roadmaps that fall apart when confronted with actual capacity constraints.
To get there, we start with a structured use case assessment that evaluates and clearly prioritizes potential applications. What follows is an approach that scales step by step: with early wins that build internal confidence, and a logic that remains extensible – without requiring the entire setup to be rethought every time something new is added.
We look forward to hearing from you.
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