Emails and paperwork take hours
Today: Enquiries, orders and documents are read and transferred manually.
Possible solution: Extract information, prepare work and send exceptions for review.
Less repetitive data entry and fewer transfer errors.
AI consulting · automation · tailored solutions
Less repetitive work.More time for your business.
Does your team spend too much time on emails, documents, follow-ups or manual data entry? I help businesses simplify repetitive work with practical AI and automation – integrated with existing systems, controlled and evaluated against real business value.
Your business problem comes first
Where could your team save time?
Every business works differently. These are three typical starting points for an initial review, not blanket promises of automation.
Deadlines and information get lost
Today: Key dates and facts are scattered across messages, attachments and tools.
Possible solution: Recognise the relevant details, verify them against evidence and pass them on with controls.
Better visibility and less rework.
Routine questions tie up your team
Today: Repeated customer questions consume time while difficult cases wait.
Possible solution: Prepare routine cases, retrieve information and require approval for consequential actions.
More time for complex customer issues.
Not every workflow needs an AI agent. A simpler automation may be the better solution. Explore services
Business value over AI buzzwords
What might pay off?
We examine actual case volumes, existing effort, and the cost of review and operation. The result is a testable business case rather than a technology pitch.
Discuss your workflow
Illustration · not a customer result
50 cases per week × 6 minutes of potential time saved
5 hours per week× 4 weeks × €45 indicative hourly labour cost
€900 monthly time-value potential Before implementation, running, review and error-handling costs. Time saved does not automatically mean actual cash savings.Practical examples with clear development status
What practical solutions look like.
Documents and deadlines
Analyse order confirmations and invoices, check the source evidence and prepare deadlines under control.
See the project and its limitationsAI Service Agent
Handle repeatable service cases with controls on consequential actions. The demonstrator passed 11 of 11 functional core tests.
See the project and test statusPersonal · transparent · tested
From the task to measurable improvement.
Understand the problem
Where is time lost? What systems, data and business rules are involved?
Test a small solution
Use realistic test cases to see whether the workflow is dependable.
Evaluate value and cost
Measure time saved, errors, costs and necessary approvals.
I'm Josef Pauderer, an AI Agent Builder with a TÜV Rheinland certified qualification (Level Advanced) and a technical B2B background. About my experience · How I work in detail
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Your description: Describe your actual workflow in your own words. The examples below are optional starting points.
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You don't have to choose an example – simply describe your workflow or challenge.
pauderer.de does not permanently store the process description or the AI result. Do not enter personal, confidential or otherwise sensitive information.
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Building the workflow
Understanding the task
- Identify task and objective
- Structure inputs
- Check control points
- Create workflow
Initial process assessment
Prepare quotations
The described process can be divided into recurring tasks, system interactions and controlled approvals.
Local preliminary assessment
The process contains recurring inputs and a clear human review point.
Recommended starting point
Start by automatically collecting and structuring information. Final approval remains with a person.
Requirements
Defined mandatory fields, accessible data and a clear approval process.
Control point
The agent prepares the result. A person checks and approves it.
Risks and open questions
Incomplete inputs, unclear rules and exceptions must be addressed first.
Data sources
Email, documents, forms or structured records.
Systems
Mailbox, file storage and the existing business application.
Agent tools
Classification, extraction and rule-based preparation.
Validation
Mandatory fields, error handling and human approval.
Follow-up questions
I look forward to hearing from you
What would you like to achieve with AI?
Perhaps you have a specific idea. Or perhaps you want to understand where AI could be useful in your company. Write to me and we'll find a practical starting point together.
For recruiters and project intermediaries: I am also available for project-based AI consulting, agent development and technical integration.
info@pauderer.de