ZUNFT.AI
Design Intelligence.
Do Not Just Deploy Tools.
Transform from AI Tool Trap to Organizational Intelligence that compounds over time.
The AI Paradox
Overwhelmed by Capabilities, Underwhelmed by Returns
Buy AI tools
Train employees
Measure time saved
Result: Efficiency gains, no intelligence
Design environment
Integrate agents
Evolve intelligence
Result: Organizational intelligence that scales
Companies invest millions but struggle with transformational value. Why?
They deploy tools instead of designing intelligence environments
Engineering Teams Using ZUNFT.AI
LLM-as-a-Judge Systems
Build consistent evaluation and quality control systems that scale across your entire platform.
Result: 95%+ decision consistency, full audit trails, continuous improvement loops
Autonomous Agents
Deploy agents that understand context deeply and make reliable decisions without constant human oversight.
Result: 70% reduction in human intervention, transparent reasoning chains
Complex Decision Systems
Handle multi-stakeholder, multi-criteria decisions with explainable AI that stakeholders trust.
Result: Complete decision traceability, stakeholder alignment, regulatory compliance
AI-Powered Workflows
Orchestrate complex workflows where AI needs to understand business context and make judgment calls.
Result: Reliable automation of complex processes, exception handling that scales
Who We Serve
Market: 50,000+ German companies using AI tools but not realizing designed intelligence potential
KMU (1-50 employees)
- •Using AI tools but underwhelmed by returns
- •Lack internal capability to design intelligence environments
- •Need quick wins and clear roadmap
Scale-ups (50-200 employees)
- •Multiple AI tools operating in silos
- •Know the problem isn't AI quality—it's missing system design
- •Ready for intelligence orchestration transformation
Enterprises (200+ employees)
- •Regulated industries where misalignment = catastrophe
- •Need experimental approaches vs. predictive strategies
- •Require enterprise-grade system architecture
Proven Results
Intelligence Environment Design in Action
From €3.2M Losses to €1.2M ROI Through Intelligence Environment Design
Client: Mid-sized automotive supplier (anonymized)
The Challenge
- •€1.8M investment in AI-powered production control
- •After 18 months: Disappointing results + €3.2M follow-on damages
- •Root Cause: No intelligence architecture—engineers, QM, and AI all optimized for different definitions of "quality"
Our Approach (DIA Methodology)
DESIGN
Formalized semantic core so humans AND AI compute with same "quality" definition
INTEGRATE
Built cognitive bridges between production AI and quality engineers
ALIGN
Created runtime observation for emergent patterns between competing goals
Results
€1.2M
ROI per year recovered
67%
Quality issues reduction
✓
Engineering-AI collaboration improved
"The problem wasn't the AI—it was the missing intelligence architecture."
Ready to Transform Your AI Strategy?
Stop deploying tools. Start designing intelligence.
Schedule Your Free Assessment