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AI Agency · Consulting · Automation · Chatbots · Voice AI

AI Consulting & AI Agencyfor the German Mittelstand

From AI hype to real results.

KI-Workshop bei nextlevels: Moderation am Whiteboard

Artificial intelligence that revolutionizes your processes and delivers real results. As an AI agency with software DNA we analyze your workflows, identify savings potential and implement intelligent AI solutions – from strategy to chatbots and voice agents to seamless integration into your existing systems. All from a single source.

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AI Consulting Services

AI consulting and process optimization from a single source – that's what nextlevels stands for with all of its expertise. Together with you we shape your intelligent, digital future.

Process analysis & AI strategy
Process automation & AI workflows
AI workshops & team enablement
AI agents & digital employees
AI chatbots & digital assistants
Voice AI & phone automation

AI experience in numbers

10+
Years of software & integration experience
24/7
Available AI assistants
4+
Leading AI platforms in use
EU
GDPR-compliant hosting
We apply AI where it creates measurable value.
Paul KalischCEO nextlevels
Paul Kalisch

What matters in AI projects

AI only creates impact where it solves a concrete problem. Instead of technology for its own sake, we identify the use cases with real leverage – from process automation and intelligent assistants to data analysis – and validate value, data quality and economics before we build.

As an AI consultancy we guide you from potential analysis through proof of concept to productive integration into your systems – privacy-compliant and secure. That turns the hype into a measurable contribution to efficiency and growth.

  • Use case over hype

    We start with business value and assess every use case by impact and effort.

  • Data quality & security

    Good AI needs good data – GDPR-compliant, cleanly structured and securely hosted.

  • Integration into processes

    AI only works once it is embedded into existing tools and workflows.

  • Measurable ROI

    We define success criteria up front and make the added value visible.

AI consulting for the Mittelstand

AI consulting for mid-sized companies means for us: no research projects, but solutions that pay off within months. Mid-sized businesses have grown processes, an ERP that carries the day-to-day, and no time for experiments without results. That is exactly where we start – with an analysis of your workflows, an honest assessment of where AI works and where it doesn't, and an implementation that fits your existing system landscape.

The difference to pure strategy consultancies: we implement ourselves. As a software agency we build the interfaces to ERP, CRM and phone systems, develop chatbots and voice agents, and take over operations and further development. The workshop becomes a pilot, the pilot becomes a production system – with measurable KPIs instead of slide decks.

We factor in data protection and works councils from the start: GDPR-compliant processing, clear rules for employee data and, if required, on-premise or EU hosting. That turns AI in the Mittelstand from a risk topic into a tool.

  • Fast start without a mega-project

    We start with a workshop and a clearly scoped pilot use case instead of a twelve-month programme. You see first results within weeks.

  • Integration into existing systems

    ERP, CRM, merchandise management, phone system: we connect AI with the systems that carry your business today – instead of building a parallel world.

  • Calculable benefit

    Every use case gets an effort-benefit estimate. What doesn't pay off, we don't recommend – even when it would be technically tempting.

AI in practice: make-or-buy, data protection and the right architecture

Not every process needs a language model. We start with an honest process analysis, pick the right model per use-case, and make sure your AI runs GDPR-compliant and production-ready.

Start small
The measurable use-case with real value first – rule-based where clear rules suffice, generative where it actually pays off.
Model-agnostic
GPT, Claude, Gemini, Llama or Mistral – chosen per use-case by quality, cost, latency and data protection.
RAG over hallucination
Answers from your real content via a vector database; fine-tuning only when RAG isn't enough.
GDPR & operations
EU hosting, data processing agreement, monitoring and guardrails – an AI without an operations concept is a risk, not a product.
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We areAI Experts

Building intelligent AI solutions that create real value – that's our drive. Convinced that AI is not hype but a tool, we apply our technical know-how specifically to make your business processes more efficient, faster and more cost-effective. Our team of developers and AI strategists turns your vision into reality.

  • Deep understanding of modern AI technologies and language models
  • Expertise in building chatbots, voice agents and intelligent interfaces
  • Proven methods for process analysis and automation
  • Seamless integration of AI into existing system landscapes
  • Commitment to measurable ROI and long-term success
Image about: We are AI Experts
Node.js
Next.js
n8n
OpenAI
Anthropic Claude
LangChain
Make
Python
Zapier
IFTTT

AI with measurable value

With us you don't get theoretical AI consulting, you get a partner who delivers. We combine strategic thinking with technical execution power – from the first process analysis to the productive AI system. Together we find the levers where AI has the biggest impact and implement solutions that pay off. Your processes and goals are always at the center.

  1. Comprehensive know-how in AI strategy and implementation

  2. Experience with leading AI platforms: OpenAI, Claude, ElevenLabs, CloudBot

  3. Over 10 years of experience in software development and system integration

  4. Interdisciplinary team of developers, strategists and UX experts

  5. Sustainable AI solutions that strengthen your company long-term

READY TO TAKE YOUR PROCESSES TO THE NEXT LEVEL WITH AI?

Whether you want to automate individual workflows or develop a holistic AI strategy for your company – we'd love to meet you. An initial conversation is the foundation for smarter processes and real cost savings.

Profile picture of Slawa Ditzel, Executive Partner
Slawa Ditzel
Executive Partner
info@next-levels.de +49 (0) 2161 539 71 60

AI Consulting Data & Insights

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All AI consulting services at a glance

Every specialization with its concrete deliverables — straight to the right page.

Process Analysis & AI Strategy
Process Automation & AI Workflows
AI Workshops & Team Enablement
AI Agents & Digital Employees
AI Chatbots & Digital Assistants
Voice AI & Phone Automation

AI Consulting – frequently asked questions

What does AI consulting or an AI project at nextlevels cost?
An AI strategy workshop or a focused process analysis typically sits in the low four-figure range. A first use-case put into production – a chatbot with RAG, a voice agent or an automation – starts in the low to mid five-figure range, depending on integration depth and data connectivity. On top of that come running costs: the API/token costs of the LLMs you use (OpenAI GPT, Anthropic Claude, Google Gemini) plus operations and monitoring as a separate line item. You get a concrete fixed-price offer after discovery.
How quickly can you start and how long does an AI project take?
We can usually schedule an initial call within a few business days. A clearly scoped use-case – for example a chatbot with RAG on your documents – we deliver as a proof of concept in two to four weeks, so you see early whether the solution holds up. The path to stable production depends on integration depth: a plain API connection is fast, while a deep integration into ERP, CRM or your phone system including guardrails and monitoring takes correspondingly longer.
Which services does AI consulting include?
We cover six areas from a single source: process analysis & AI strategy (where does AI actually pay off), AI chatbots & digital assistants, voice AI & phone automation, AI interfaces & system integration into your existing systems, AI workshops & team enablement, and process automation & AI workflows. We deliberately start small: first the measurable use-case, then the rollout. You're not sold a toolbox – you get a solution to a concrete problem.
Is AI consulting worth it for the German Mittelstand?
Yes – especially for mid-sized companies. We start with concrete, manual-heavy processes, automate them with pragmatic AI solutions and calculate the ROI up front. Instead of one big project we deliver in manageable steps: first the measurable use-case, then the rollout – GDPR-compliant, without vendor lock-in and matched to the reality of mid-sized teams and budgets.
Is using AI GDPR-compliant? Where does my data run?
Yes, with the right architecture. For sensitive data we use EU hosting options such as Azure OpenAI in EU regions, AWS Bedrock EU or self-hosted open-source models like Llama and Mistral on-prem. We sign a data processing agreement (DPA/AVV), and with correct configuration your data is not used to train the models; where it makes sense, we pseudonymise. The trade-off is honest: a US API is fast and cheap, while EU or self-hosted setups give you data sovereignty at higher effort. Which path fits we decide based on your data classification.
Your own model or a ready-made API – which is better?
For most projects a managed API (GPT, Claude, Gemini) is the right choice: best quality, fastest time-to-market, no infrastructure overhead. A self-hosted model like Llama or Mistral is worth it when strict data-protection requirements demand it, or when at high, sustained volume the token costs justify running your own hardware. We make that call during discovery based on your numbers – not in the sales meeting and not on principle.
Do I even need AI – or is classic automation enough?
Not every problem needs an LLM. Rule-based automation with n8n or classic workflows is often cheaper, deterministic and easier to maintain – and that's exactly what we recommend when your process has clear rules. AI plays to its strengths where unstructured language, documents, classification or real variability are involved. We tell you honestly when the deterministic path is the better one, rather than selling you a language model you don't need.
Which AI model do you use – RAG or fine-tuning?
We are model-agnostic and work with GPT, Claude, Gemini, Llama and Mistral – we choose per use-case by quality, cost, latency and data protection. For current company knowledge we use RAG: retrieval over your data via a vector database, so the model answers with your real content. We only use fine-tuning when RAG hits its limits – honestly, RAG covers the vast majority of needs and is far cheaper to maintain.
Who owns the solution – does vendor lock-in arise?
You own everything: the code, the prompts, the configurations and your data. We document the solution so another team could take over, and we deliberately build the architecture model-agnostic – you can switch the provider, from GPT to Claude or to a self-hosted model, without rebuilding the whole solution. Vendor lock-in is not our business model but a risk we actively avoid.
How do you measure success – is it even worth it?
We define the KPIs upfront together with you: hours saved, response times, conversion rate, ticket-deflection rate – depending on the use-case. Instead of a big-bang we start with a measurable use-case where the value can be cleanly proven before we scale up. And we stay honest: if a case doesn't add up after the analysis, we say so – better no project than one that misses your expectations.