AI automation for business processesLess retyping. Clearly defined approvals.
We work with your team to simplify a recurring process and implement the agreed workflow. Fixed rules connect data capture, routing and approvals; AI can help structure free-form text. We first assess what is possible with your existing tools.
- A clear record of your process and prioritised measures covering benefits, effort and prerequisites.
- Implementation of the jointly agreed workflow, subject to available interfaces, licences and permissions.
- Documentation, training and a defined way to handle errors; consulting, implementation and potential recurring costs are scoped before you commission the work.
Suitable tasks and occasions
Email triage and reply drafts
Sort enquiries, flag missing information and prepare replies for review.
Capture documents and orders
Suggest values from readable documents, validate them and transfer through an available interface after approval.
Prepare quotations
Combine specified requirements with approved text blocks. Check prices, terms and binding commitments.
How we agree the approach with you
Define the process and initial goal
Together, we document one selected process: inputs, systems involved, manual work and the desired result. This produces prioritised measures covering benefits, effort and prerequisites.
Agree scope and approvals
We assess integrations and data access. Together, we decide which steps use rules, where AI helps and when someone must review the output. Consulting, implementation and potential licence and operating costs are scoped before you commission the work.
Implement and check the workflow
We develop the agreed workflow and check it against typical cases and exceptions. Your team assesses the results and the review effort that remains.
Document and introduce the workflow
We document the process and error handling and train the people responsible. Together, we agree who will run it and how work will continue if something goes wrong.
Answers to help you plan
Does my process need AI at all?
Which systems can be connected?
What happens with mistakes or unclear cases?
What is included, and who runs the solution?
What should we prepare for the initial conversation?
How are business data taken into account?
Further reading and examples
Sort customer enquiries and prepare replies
An enquiry arrives with attachments in a shared mailbox. The team needs to identify the case, find missing information and prepare an appropriate reply.
AI agents in an SME: automate preparation and control actions
Design a bounded workflow with clear permissions, review steps and a manual route for exceptions.
Digitalisation
View scope, approach and contact options.
What an initial workflow could look like
Fictional service enquiry example; the actual scope is agreed together.
- Input
- The shared inbox receives: “Our equipment shows error E17. Can you help?” The customer number is missing.
- AI prepares a suggestion
- Suggested fields: issue = fault, error code = E17, customer number = missing. The original message remains available for review.
- Rules route the case
- The agreed workflow adds the case to the service team’s work queue and flags the missing customer number. Unclear classifications go to a person for review.
- A person approves
- The person responsible checks the case and a draft follow-up question. In this example, nothing is sent automatically and no prices or appointments are promised.
Sources and technical background
These sources explain the underlying principles. Our recommendations provide practical guidance and do not promise a particular project result. Editorial review: 18 October 2026.
Which process would you like to simplify?
Describe the input, the manual work involved and the desired result. In the initial conversation, we assess whether rule-based automation, AI support or first simplifying the process is appropriate.
Free initial conversation