Lean and AI: less manual work, more time for work that matters.
We do not start automation with a tool. First, we identify where the process gets stuck, which actions repeat and what should be simplified. Only then do we select an AI or automation solution that reduces manual work and the likelihood of errors.
We automate what is genuinely worth automating.
Reduce repetitive manual work
Data transfer, email sorting, periodic reporting and information entry can be automated. People remain responsible for decisions that require context, accountability and professional judgement.
Improve the process first
We do not automate unnecessary steps simply because it is technically possible. We assess the purpose of the process, its inputs, decision points and exceptions, then decide what should be removed, simplified or automated.
Measure the result
Before implementation, we agree on what will be measured: working hours saved, reduction in errors and changes in response or task completion time. Automation must deliver a clear benefit rather than becoming another tool that requires maintenance.
Processes we can automate.
Customer enquiry classification
The system reads an incoming email, identifies its topic and routes the enquiry to the responsible employee. Unusual or unclear cases are left for human review.
Document preparation
Proposals, reports and standard documents are prepared from approved data and templates. A human review step is included before sending, especially when the document has legal or financial significance.
Data reporting
At a scheduled time, the system retrieves data from Excel, a CRM or another source and prepares a weekly summary. The manager receives not only the figures, but also highlighted deviations that require attention.
Process monitoring
The responsible person receives a notification when an important indicator crosses a defined threshold or a process stops. The information appears when action is required instead of being hidden in another rarely reviewed dashboard.
We select tools according to the process, data environment and security requirements.
ChatGPT
Text drafting, information analysis and task-specific assistants
Claude
Analysis of large documents and programming tasks
M365 Copilot
Work across Excel, Word, Teams and Outlook
n8n
System integration and automated workflows
Power Automate
Automation of Microsoft 365 processes
Notion AI
Knowledge-base search, summaries and content organisation
From process analysis to a working automation.
Process analysis
We clarify the process objective, repetitive actions, data sources, exceptions and the largest time demands.
Pilot solution
We build and test a small-scale automation to verify its benefit and risks.
Implementation
We configure access, control steps and documentation, train users and launch the solution in daily work.
Maintenance and expansion
We monitor the result, adjust workflows and, once the solution proves effective, adapt it to other processes.
Start with one process.
Briefly describe a recurring task or process that currently takes a significant amount of time. We will assess whether it is worth automating and what the safest first test would be.
Discuss a process→