ZUNFT.AI

Intelligence Systems Engineering

Transform from AI Tool Trap to Organizational Intelligence

70% of companies use AI tools

Only 10% see real returns

The problem isn't the AI—it's the missing intelligence architecture

Our Solution: DIA Methodology

Design → Integrate → Align

Systematic approach to orchestrating human intuition, AI pattern recognition, and algorithmic optimization

DESIGN

How should human intuition, AI pattern recognition, and algorithmic optimization interact for emergent insights?

INTEGRATE

What feedback loops and semantic bridges enable multi-agent collaboration instead of isolated tool usage?

ALIGN

How do we detect drift and misalignment during runtime before it scales into catastrophe?

How It Works

AI System Assessment

Duration: 1-2 days

What You Get:

  • Analysis of current AI tool deployment
  • Identification of intelligence silos & misalignment risks
  • 3-5 Quick Wins for better orchestration
  • Risk assessment report

Best For: Companies noticing AI tools underperform

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MOST POPULAR

Intelligence Environment Design

Duration: 3-5 days

What You Get:

  • Complete intelligence environment architecture
  • Multi-agent interaction design
  • Feedback loop definition
  • Implementation roadmap

Best For: Scale-ups with siloed AI tools

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Full System Architecture

Duration: 4-8 weeks

What You Get:

  • AI strategy redesign (tool deployment → designed intelligence)
  • C-Level workshops
  • Multi-agent system implementation
  • Quarterly runtime reviews

Best For: Enterprises in regulated industries

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How ZUNFT.AI Works With Your Team

Our proven 8-week process takes you from scoping to production deployment with full observability.

Week 1

Scoping & Architecture Design

  • We analyze your AI use case (LLM-as-Judge, autonomous agents, decision systems)
  • Design your context structure and reasoning frameworks
  • Define success metrics and observability requirements
Week 2-4

Integration & Deployment

  • Connect to your LLM providers (OpenAI, Anthropic, Azure)
  • Deploy PRO-Protocol reasoning layer to your infrastructure
  • Set up Intelligence Layer for context management
  • Configure observability dashboards and monitoring
Week 5-8

Production Rollout

  • A/B test reasoning strategies against your baselines
  • Activate Cognitive Loop for continuous learning
  • Train your team on framework management
  • Monitor and optimize decision quality
Ongoing

Self-Improving System

  • Your system learns from production outcomes automatically
  • Frameworks refine based on real-world performance
  • Your team iterates on reasoning strategies
  • Full transparency into all AI decisions and improvements

Ready to Design Your Intelligence Environment?

Stop deploying tools. Start designing intelligence.

Schedule Intelligence Assessment