Competitive pressure
Other companies are getting faster at analysis, communication, and delivery. Waiting too long costs learning time.
Christoph Zeltner - AI Consulting
AI consulting for companies that need to act now
I help you find useful AI opportunities, limit risk, and bring first working solutions into your existing operations.
Why now
AI is changing knowledge work, service, sales, software development, and internal operations. The important move is not chasing every tool, but choosing the right first steps.
Shadow AI usage
Teams already use public tools. Without guardrails, data, quality, and compliance risks grow quietly.
Unclear investments
AI projects become expensive when value, data readiness, and implementation effort are not checked early.
Consulting and implementation
From first assessment to usable prototype: the focus is practical business value, safe data handling, and integration with existing workflows.
AI Readiness Check
We review goals, processes, data, risks, and existing tools. You receive a clear view of where AI can start usefully.
Opportunity Workshop
Together we collect, assess, and prioritize use cases by value, effort, risk, and feasibility.
Workflow Automation
Recurring knowledge and document work is analyzed and improved with controlled AI assistance.
Custom AI Prototypes
Small, testable prototypes show whether a use case creates real value before larger budgets are committed.
AI Integration
AI capabilities are embedded into existing software, APIs, data sources, and operating processes.
Team Enablement
Teams and leaders receive practical guidelines for safe tool usage, review workflows, and realistic expectations.
A clear way forward
Good AI adoption starts with understanding, not tool selection. The process reduces uncertainty and leads to decisions you can defend.
Clarify goals
Business goals, pain points, and risk boundaries become explicit.
Map processes
Workflows, data sources, systems, and manual work are captured in a structured way.
Rank use cases
Opportunities are prioritized by value, effort, data readiness, and risk.
Build a prototype
A small proof of value shows what works technically and organizationally.
Integrate
Successful solutions are measured, improved, and brought into daily operations.
Typical AI use cases
The right starting point is usually controlled assistance with human review, not full automation at any cost.
- Internal knowledge assistant for documents and procedures
- Customer support response drafting
- Sales and CRM assistance
- Automated reports, proposals, and summaries
- Document classification and data extraction
- AI-assisted software maintenance
- Onboarding and training support
- Process monitoring and anomaly detection
Software delivery first
Grounded in real software delivery
Christoph Zeltner combines AI consulting with long-standing software architecture, full-stack engineering, API design, system integration, and security-aware implementation. The result is advice that can survive contact with real operations.
