AI assistants for real business workflows.
I build AI workflows for companies that want less manual work, faster responses, and cleaner operations — including setup, integration, and ongoing support.
When AI sounds exciting, but nobody has time to own the operational setup
Many teams see the potential of AI, but get stuck on fragmented tools, unclear ownership, and workflows that never make it into production.
Too much repetitive communication
Your team keeps answering the same questions across email, chat, or forms instead of focusing on higher-value work.
Leads are handled inconsistently
Inbound requests arrive, but qualification, follow-up, and handoff are still manual or handled inconsistently.
AI tools exist, but nothing is production-ready
There are early experiments with ChatGPT, Claude, or automations, but no reliable workflow that helps day to day operations.
Nobody wants to own hosting and maintenance
Even when the use case is clear, teams often lack a technical owner for setup, monitoring, change requests, and stability.
Typical use cases
I start where repetitive work exists and where a clear operational gain can be measured quickly.
Lead qualification
An assistant collects first information, filters low-fit requests, and makes sure your team only spends time on qualified leads.
Inbox triage
Recurring emails and messages get classified, enriched, and routed to the right person or workflow faster.
Internal knowledge assistant
Employees get faster answers to internal process questions, offer logic, or recurring tasks without blocking colleagues.
Request and appointment pre-checks
The agent collects missing information, checks basic requirements, and prepares calls or appointments more efficiently.
Workflow automation between tools
Chats, forms, emails, and internal systems get connected so information is routed and documented automatically.
AI Workflow Audit
from 390 EUR
We identify the best first use case and assess where AI and automation can create real value in your operations.
- Analysis of your communication and process bottlenecks
- 2-4 prioritized use case recommendations
- Implementation recommendation with realistic scope
AI Agent Setup
from 1,900 EUR
I design and implement one production-ready AI workflow including integration, guardrails, and handover.
- Setup of one concrete agent or workflow
- Integration into existing tools and processes
- Fallbacks, routing, and quality logic
- Team onboarding and handover
Managed AI Ops
from 249 EUR/month
After launch, I support hosting-adjacent topics, optimization, and continuous changes so the workflow remains stable and useful.
- Monitoring, updates, and bug fixing
- Prompt and workflow optimization
- Monthly improvement suggestions
- Technical partner for further development
From audit to production workflow
The entry is intentionally simple: find the right use case first, implement it cleanly, then keep it reliable in day-to-day operations.
01
Sharpen the use case
We define where AI actually saves time or improves quality in your business — without buzzword theater.
02
Setup and integration
I build the workflow, connect the relevant systems, and define guardrails, routing, and sensible handoffs.
03
Support and optimization
After launch, the solution is monitored, refined, and expanded with new automations where it makes sense.
Frequently asked questions
Is this just a website chatbot offer?
Not necessarily. A website chat can be part of the setup, but the bigger leverage usually sits in lead handling, inbox triage, or internal workflows.
Do we need to manage models or APIs ourselves?
Not necessarily. I can help prepare the setup and make the operating model transparent. Ongoing model costs are handled separately rather than hidden inside a fake flat rate.
Is this more consulting or a ready-made implementation?
Both are possible. The audit is a structured starting point, but the core offer is the implementation of one production-ready workflow.
What happens when the agent is unsure?
Then you need defined fallback paths. Good AI workflows have boundaries, routing rules, and human handoff when needed instead of blind autopilot.
Want to find out whether an AI workflow makes sense for your business?
Then start with a clear audit instead of random tool shopping. That turns vague AI interest into a concrete next step.
Request audit