Digital Transformation that simplifies your processes.

Many workflows have evolved over the years without ever being fundamentally questioned. Information is entered several times, moves back and forth between paper, Excel and email, and tasks wait days for approval. If you simply digitalise these workflows, all you get is faster bad processes. The key is to understand how things actually work first.

• On-site assessment: Observing current processes where the work happens and documenting them step by step
• Making waste visible: Identifying and quantifying idle times, duplicated work, time spent searching and manual hand-offs between systems
• Causes, not symptoms: Tackling the biggest drivers of effort first and tracing them back to their root cause
• Designing the target process: Developing lean workflows and implementing organisational improvements straight away
• Systems only where needed: Introducing digital solutions only once the process is ready for them
• Continuous improvement: Improvement in small steps as an ongoing habit, with the impact measured before and after

Writing invoices, reconciling incoming payments, confirming appointments, transferring data from one system to the next: routine work like this ties up hours of skilled staff time every day. It is monotonous, error-prone and the first thing to be left undone when you are short-staffed. Yet much of it could be reliably automated.

• Invoicing: Creating invoices automatically and sending them digitally as soon as a job is completed
• Payment reconciliation: Automatically matching incoming payments to open invoices and preparing payment reminders
• Appointments and reminders: Confirmations and reminders go out to your customers without any manual effort
• Interfaces: Data flows automatically between your systems instead of being retyped
• Reports: Recurring analyses and overviews are generated and distributed automatically
• The right tools: Solutions that fit your existing software rather than replacing everything

Artificial intelligence is being discussed everywhere, yet in many companies everyday use does not go beyond generic chatbots and isolated experiments. The real value only emerges when AI works with your own data and is firmly embedded in your departments’ workflows. On top of this come legitimate questions about data protection, data security and the new EU regulations.

• Sales: Analysing customer enquiries and requirement specifications, capturing requirements in a structured way and pre-calculating quotes based on comparable orders
• Purchasing: Making supplier quotes comparable and automatically checking order confirmations for discrepancies in price, quantity and delivery date
• Accounting: Extracting data from incoming invoices, suggesting account assignments and matching them against purchase orders and goods receipts
• Customer service: Classifying enquiries, routing them to the right team and drafting replies based on your expertise
• Engineering and service: An internal knowledge assistant for manuals, maintenance logs and standards, citing its sources in every answer
• Management and controlling: Analysing KPIs from your ERP and CRM by asking questions in plain language
• Tools and integration: Microsoft Power Automate in Microsoft 365 and Claude Code for custom AI solutions, connected to your ERP, CRM and document management
• Data protection and compliance: Use in accordance with the GDPR and the EU AI Act, risk classification of your use cases and training for your team