Email & Inbox
- Classify and route incoming emails
- Auto-draft replies for common requests
- Flag urgent items for human review
Manual processes eating your team's time?
Recurring tasks that require human judgement but follow predictable patterns — email triaging, data entry, document routing, status updates. These tie up skilled people in low-value work and slow down everything else. An AI agent handles all of that.
What is an AI Agent?
More than a chatbot — a digital colleague
An AI agent is a software system that perceives its environment, decides what to do next and executes actions to reach a defined goal. Unlike a chatbot that waits for input, an agent operates continuously and proactively — checking inboxes, processing data, triggering follow-ups and routing exceptions to a human when needed.
I build agents that connect to your CRM, ERP, email and APIs — doing exactly the work your team currently handles manually, faster and without mistakes.
What You Get
Concrete results from day one
Automated decisions
The agent processes data, applies your rules and acts — no human in the loop for standard cases. Exceptions escalate to you automatically.
Free up your best people
Stop paying senior staff to move data between systems. The agent handles the routine; your team focuses on customers and strategy.
24/7 availability
Agents work nights, weekends and holidays. Inquiries answered, documents processed, workflows triggered — no delays.
Scale without hiring
Handle 10x the volume with the same team. Add new tasks to the agent rather than adding headcount.
Real Use Cases
Where AI agents deliver immediate ROI
Documents & Data
- Extract data from invoices, contracts, forms
- Validate against ERP/CRM records
- Auto-route approvals and exceptions
Customer Service
- Answer FAQ queries instantly
- Create and update support tickets
- Escalate complex cases with full context
Reporting & Monitoring
- Pull data from multiple sources daily
- Generate and send reports automatically
- Alert on anomalies and KPI deviations
How We Work
From idea to production in 3-4 weeks
1
Scoping (Week 1)
We identify which 2-3 tasks would save the most time and have the clearest success criteria. I assess data access, risks and integration requirements.
2
Build & Integrate (Weeks 2-3)
I develop the agent, connect it to your systems and run it in shadow mode alongside your current process — so you can validate quality before go-live.
3
Go-Live & Monitor (Week 4)
Agent goes live with monitoring dashboards and alerts. You see every decision the agent makes. Edge cases are reviewed and the agent improves iteratively.
Who I Am
Strategy and execution — in one person
I'm Stani. I don't build overengineered AI platforms. I sit down with you, identify the three tasks that eat the most time and money right now, and build agents that solve exactly those — measurably and without months of consulting. You get working software, not a roadmap.
Based in Regensburg, Bavaria — working with SMEs across Germany. Read more: Why code Lederhos?
Book your free strategy callFAQ
Common questions
What's the difference between an AI agent and RPA?
RPA follows fixed rules and breaks when the UI changes. An AI agent understands context, handles variations and makes judgement calls within defined boundaries. It's far more robust and handles exceptions gracefully.
Does the agent need access to sensitive data?
Only the data required for the specific task. We define data access precisely during scoping and use role-based permissions, audit logs and encryption throughout.
What happens when the agent makes a mistake?
Monitoring and alerts catch deviations immediately. Critical actions require human confirmation. Every decision is logged so we can review, improve and prevent recurrence.
Can we start small and expand later?
Absolutely — that's exactly how I recommend starting. One well-defined task, proven ROI, then expand. This keeps risk low and builds confidence across your team.