Clarity, direction, and a practical plan for your AI transformation.
AI only delivers value when it’s embedded into daily work. We connect the dots between tools, data, and teams.
Your team has attended webinars and trainings, played with and tested ChatGPT or Gemini, Claude, and CoPilot and used many of the AI-enabled tools and knows AI matters. But turning trials and experiments into production-ready systems that your teams actually use and benefit from? That’s where most organizations get stuck.
The gaps we see:
Your own AI that speaks your language, knows your processes, and keeps your data where you need it whether that's on-premise, in a private cloud, or meeting specific compliance requirements.
Agents that don't just answer questions they complete entire workflows. From initial trigger to final action, handling the boring, repetitive work that keeps your team from high-value tasks.
Every software category now has a dozen AI features. We help you cut through the noise, pick the tools that solve actual problems, and integrate them so they work together instead of against each other.
AI that works inside the systems your team already uses. No new logins, no parallel tools, no switching between platforms just smarter workflows in Microsoft, Google, Salesforce, HubSpot, and everywhere else you operate.
Ergebnis:
Ergebnis:
Ergebnis:
Perfect for: Single use case or specific automation project
What you receive:
Perfect for: Department or Company-wide AI transformation
What you receive:
Perfect for: Ongoing optimization and scaling
What you receive:
Let’s talk about what you want to automate, which systems need to connect, and how we can get you live in weeks.
AI implementation timelines vary by scope. A focused single-workflow automation (like sales enablement or invoice processing) typically takes 2-4 weeks from discovery to deployment. Department-wide AI transformations with multiple integrated workflows usually require 2-6 months. Enterprise-scale implementations with custom LLMs, multiple agents, and change management support can take 6-12 months. Most companies see initial productivity gains within the first 30 days of deployment.
ChatGPT or Gemini are general-purpose AI tools that require manual input for each task. Our custom AI implementations create automated, integrated systems tailored to your business processes using various AI models. We build customized AI solutions trained on your company data, deploy AI agents that handle multi-step workflows autonomously, and integrate AI directly into platforms your team already uses (like Microsoft 365, Salesforce, or HubSpot). The result is AI that works automatically in the background, not tools requiring constant human interaction.
AI implementation costs depend on scope and complexity. A single-workflow automation project (Implementation Sprint) typically ranges from €5,000-€15,000 and delivers ROI within 3-6 months. Department-wide transformations (End-to-End Automation Project) usually cost €25,000-€75,000 with ROI in 6-12 months. Enterprise retainer engagements for ongoing AI development start at €8,000-€15,000 monthly. Most mid-sized companies (50-500 employees) see 60-85% efficiency improvements that offset implementation costs within the first year.
No, we handle all technical work, so you don’t need in-house expertise to implement AI successfully. We manage coding, API integrations, workflow automation and training while your team focuses on defining business requirements and desired outcomes.
However, technical expertise becomes more valuable as implementations grow in complexity. For enterprise-scale projects with deep system integrations, having IT staff or developers on your team can accelerate deployment and make ongoing maintenance easier. We’ll work directly with your technical personnel if available, enabling knowledge transfer and skill development.
Bottom line: we adapt to your situation. Whether you have a full IT department, a single technical person, or no technical resources at all, we tailor our approach accordingly. We provide comprehensive training and documentation regardless, ensuring your team can confidently use and manage the solutions. Many clients begin with zero AI experience and achieve 60-85% efficiency improvements.
AI implementation delivers results across all industries, with particularly strong outcomes in B2B SaaS, manufacturing industries, professional services, and contractors (HVAC, plumbing, electrical) among others. The most impactful business functions are sales (proposal automation, lead qualification), operations (scheduling, dispatching, workflow coordination), customer support (intelligent ticket routing, automated responses), and marketing (content generation, campaign management) to name a few. Companies typically see 40-85% time savings in repetitive, high-volume tasks across these areas.
Compliance is built into the architecture — not added later.
We help you design AI systems that align with GDPR, the EU AI Act, and relevant industry regulations from day one. This includes defining appropriate data flows, access controls, documentation standards, and governance structures.
Data location & control
We advise on hosting and deployment options that meet your regulatory requirements — whether EU-based cloud environments, private infrastructure, or other compliant configurations.
Our role is to ensure your AI setup follows European data protection standards and that sensitive data is handled appropriately, transparently, and securely.
EU AI Act alignment
We support classification of AI use cases by risk level and help implement required transparency, human oversight, documentation, and monitoring processes. For higher-risk applications, we assist in establishing the necessary compliance frameworks and technical documentation.
Industry-specific requirements
In regulated industries (e.g., healthcare, finance, legal, manufacturing), we help define additional safeguards such as encryption standards, audit trails, and role-based access controls — working closely with your compliance and IT teams.
Data protection principles
We ensure alignment with core GDPR principles, including:
• Data minimization
• Purpose limitation
• Pseudonymization where required
• Clear documentation and auditability
Regulation evolves.
We help you build AI systems that remain compliant as requirements change.
Yes, AI integrations work with virtually all business software. We specialize in connecting AI to platforms like Microsoft 365, Google Workspace, Salesforce, HubSpot, SAP, and industry-specific tools. Custom integrations use standard APIs, webhooks, and automation platforms such as n8n to ensure AI works where your team already operates. Legacy systems without APIs can be integrated using RPA (robotic process automation) or custom middleware. The goal is seamless AI functionality within your existing tech stack, not replacing systems that already work.
AI systems deliver reliable results through proper training data, governance guardrails, and continuous monitoring. We prevent hallucinations and errors by implementing validation mechanisms, confidence thresholds, and access controls that ensure AI works only with verified company information.
Custom AI solutions improve continuously as they’re exposed to real-world usage, refined with quality feedback data, and updated with new business context. Implementation projects include a 30-day post-launch support period where we monitor accuracy, adjust guardrails, and optimize the AI’s training based on performance patterns.
We establish clear escalation protocols: confident AI responses are automated, uncertain cases are flagged for human review, and errors trigger systematic refinement. Most clients choose ongoing support retainers for continuous optimization, new use case development, and maintaining accuracy as business needs evolve. AI accuracy typically improves from 85% to 95%+ within the first 90 days through iterative refinement of training data, validation rules, and human feedback.