Sound familiar?
ChatGPT helps, but doesn't know your business?
Your team uses LLMs, but the tools don't know your documents, your customers, or your processes. Every answer starts with copy-paste.
Your team drowning in knowledge work?
Reviewing documents, classifying inquiries, looking up data, drafting standard replies. Skilled people spend hours on tasks an agent could handle.
Agent prototype impresses, but stuck as PoC?
The demo agent works. The connection to CRM, ERP, email and document repositories is missing, and with it, the real value in daily operations.
Every month of delay costs you.
of AI projects never make it to production
Gartner, 2024
of knowledge worker time goes into searching for information and reviewing documents
McKinsey, The Social Economy
to ROI without specialized support
McKinsey, The State of AI
Sources: Gartner, 2024 · McKinsey, The Social Economy · McKinsey, The State of AI
What You Get
Your complete AI agent.
Everything you need to run the agent sustainably in your business.
Our Process
Four steps to a production-ready AI agent.
Requirements
Define use case, evaluate systems, assess feasibility.
- Stakeholder workshops & use case definition
- Document repositories & system access assessment
- Feasibility assessment
Development
Agent development, iterative improvement, testing.
- Iterative agent development in 2-week sprints
- Continuous testing with real requests
- Performance benchmarking
Integration
Deploy into your infrastructure, tool integration.
- Integration with CRM, ERP, email and document repositories
- CI/CD pipeline for agent deployments
- Load & security testing
Go-Live
Rollout, monitoring and continuous optimization.
- Phased rollout with monitoring
- Team training & documentation
- Long-term optimization plan
Right Fit?
Is an AI agent right for you?
Perfect fit if …
You have a concrete use case
Whether customer support, document processing, or internal knowledge work: you know where an agent should create value.
Your data and systems are accessible
Documents, CRM/ERP data, or internal knowledge repositories exist and can be made available to the agent.
You want AI integrated into existing processes
Not an isolated experiment, but an agent that runs in your real workflows and delivers results.
Probably not the right fit if …
No concrete use case yet
Then our potential analysis is the better starting point. We'll find the right approach together.
No data foundation available
An agent needs documents, knowledge, or systems to access. Without this foundation, there's no basis.
You're looking for an off-the-shelf SaaS solution
We build custom agents. For standardized chatbot tools, we're happy to recommend suitable providers.
Zero risk. Guaranteed.
Transparent Pricing
Detailed cost framework upfront with clearly defined milestones. You always know what you're paying for, no surprises.
GDPR by Design
All agents can run on German/EU servers. Compliance isn't an afterthought, it's an architecture principle.
Pilot-First Approach
Start with a limited pilot project. We only scale once the results convince you.
Frequently Asked Questions
Every project is offered at a fixed price. You know exactly what it costs before the project starts. The investment depends on complexity and the number of systems to connect. In the initial consultation, we provide a non-binding estimate.
Typically 4–12 weeks from requirements to go-live. With our pilot-first approach, you can see initial results within a few weeks and then decide whether to scale.
Hallucinations are a real problem with isolated LLMs. Our agents are grounded in your documents and data (RAG), cite sources, and escalate to humans when uncertain. Every answer stays traceable.
That's your call. We build agents at three autonomy levels: read-only (suggestions), with approval (human confirms before action), or autonomous (independent decisions within defined boundaries). Critical decisions always stay with you.
Yes. We use LLMs on European servers or on-premise, your data never leaves your infrastructure uncontrolled. Data processing agreements, data handling and deletion concepts are built in from the start.
Every agent runs with guardrails, a monitoring dashboard, and clear escalation paths. Unclear or sensitive requests are automatically handed off to your team, every run is logged and auditable.