From Pilot to Production
90-95% of organizations see negligible ROI from GenAI. The problem isn't the AI. The problem is scaling without an operating model.
Discover where your organization stands with our free AI Maturity Assessment.
The Pilot Graveyard
Most AI pilots never graduate to production. They prove the technology works, then stall at organizational complexity.
80% Organizational
McKinsey: "20% algorithms, 80% organizational rewiring." Yet only 21% of companies have redesigned workflows around AI.
Operating Model Gap
The gap between "AI works in a demo" and "AI works in production" is not technology. It is governance, workflows, and scaling methodology.
Why AI Pilots Fail to Scale
Your pilot proved AI works. But proving technology works and scaling it across an organization are fundamentally different problems.
No Governance Framework
Who approves AI tools? Who defines what AI can and cannot do? Without governance, every team invents its own rules -- or has none at all.
No Workflow Enforcement
AI operates outside existing processes. There are no quality gates, no human checkpoints, no standards that the system enforces automatically.
No Scaling Methodology
Pilot success does not equal production readiness. Without a clear path from experiment to enterprise deployment, pilots remain experiments forever.
Every Team Does It Differently
Marketing uses ChatGPT. Engineering uses Copilot. Finance uses nothing. Without a unified operating model, AI adoption fragments into isolated silos.
The pilot graveyard is not a technology problem. It is an operating model problem. And it requires an operating model solution.
The AI Operating Model Solution
Structured scaling from first AI usage to full AI-Native operations. Each stage has clear criteria, governance requirements, and measurable outcomes.
Using AI
Teams experiment with AI tools independently. No standards, no visibility, no governance.
AI-Governed
Centralized governance with enforced workflows, approved tools, and human-in-the-loop controls.
AI-First
AI is the default for eligible workflows. Humans escalate exceptions, not routine work.
AI-Native
AI is embedded in every operation. Continuous optimization, self-improving workflows, full autonomy where safe.
Our Methodology
Working systems in weeks, not slide decks in months. Four phases that take you from assessment to self-sufficient AI operations.
AI Maturity Assessment
FreeScore your organization across 6 dimensions. Identify gaps between current state and AI-Governed operations. Clear roadmap with prioritized actions.
Operating Model Design
Define workflows, roles, and access controls. Design governance framework and human-in-the-loop policies. Map AI to existing business processes.
Hub Implementation
Deploy NeoTasks for workflow enforcement, NeoRouter for context routing, and AI agents for automation. Working system in weeks.
Knowledge Transfer
Train your team to operate, evolve, and extend the system independently. We build capability, not dependency.
Products That Scale With You
The AI Operating Model is not a framework on paper. It runs on production infrastructure that we built, operate, and continuously improve.
Gnosari
AI Agent Platform
Deploy, manage, and govern AI agents across your organization. Every agent follows company standards, every interaction is tracked, every output meets quality gates.
NeoTasks
Workflow Enforcement
Define workflows that AI must follow. Quality gates that cannot be bypassed. Human-in-the-loop controls with confidence-based escalation. Standards that enforce themselves.
NeoRouter
Context Routing
Route context to the right agent at the right time. Persistent organizational memory that ensures every AI interaction has the full context it needs to deliver accurate results.
GnosisLLM
Knowledge Management
Turn your organization's knowledge into AI-ready context. Structured knowledge bases that agents can query, reason over, and use to make informed decisions.
We Run What We Sell
Every product we build runs on the AI Operating Model. This is not a theoretical framework -- it is production infrastructure that we operate daily.
All running on the same AI Operating Model infrastructure
Specialized agents governed by enforced workflows
Production workflows with quality gates and human oversight
Not a consultancy that sells advice. A technology company that sells what it operates.
When we implement your AI Operating Model, we deploy the same infrastructure we use to build our own products. The same workflow enforcement, the same governance framework, the same scaling methodology. No unproven theory -- just systems that work because we depend on them ourselves.
Escape the Pilot Graveyard
Start with a free AI Maturity Assessment to understand where you stand. Then build an operating model that takes you from pilot to production -- in weeks, not quarters.
AI-First Consulting starting at EUR 2,500/mo. Working systems, not slide decks.