AI runs on architecture. We build yours in 90 days.
Nor&Int designs the process architecture your AI agents need to operate reliably, deploys intelligent AI processes inside your existing workflows, and installs the governance layer, turning fragmented experiments into a AI Operating System.
Built inside your Google or Microsoft ecosystem, aligned with ISO/IEC 42001, NIST AI RMF, and EU AI Act.
BUILT INSIDE YOUR ECOSYSTEM
BUILT INSIDE YOUR STACK
88%
of organizations use AI regularly, only 39% report measurable enterprise-level impact.
MCKINSEY STATE OF AI · 2025
74%
of companies struggle to achieve and scale real value from AI investments.
BCG AI ADOPTION REPORT · 2025
40%
of enterprise applications will feature task-specific AI agents by end of 2026, up from <5% today.
GARTNER · AUGUST 2025
THE PROBLEM
Most enterprises buy AI, few make it run
Redesigning workflows is a key success factor: Half of AI high performers intend to use AI to transform their businesses, and most are redesigning workflowsMcKinsey's 2025 State of AI Survey
Approximately 90% of high-value AI use cases remain in pilot mode, not because of technology limitations, but because no one built the architecture underneath.
AI agents cannot automate processes they cannot read. When enterprises deploy agents into workflows that are undocumented, they don't accelerate. They scale their existing operational errors, faster.
SHADOW AI
Your teams are already using AI. The question is whether it's governed.
Shadow AI
employees using unsanctioned consumer-grade AI tools outside IT governance. It creates compounding data security, compliance, and accuracy risks that compound silently.
Nor&Int's AI Operating System tackles shadow AI with a traceable, accountable alternative.
THE ROADMAP
From AI & workflow diagnostic to production in 90 days.
Phase 1
Days 1–30
Analysis & AI Workflow Diagnostics
We map how work actually happens, identifying repetitive tasks, undocumented processes, current AI usage patterns, and the structural friction points preventing agents from operating reliably. This is the AI maturity assessment that most enterprises skip and that makes every subsequent initiative more expensive.
Phase 2
Days 31–60
Process Architecture & Agent Deployment
We design the machine-readable operational blueprint, then deploy 3–5 intelligent agents within it. Each integrates into your existing stack with defined scope boundaries, human supervision protocols, and kill switches. Multi-agent orchestration is designed for your specific workflow complexity.
Phase 3
Days 61–90+
AI Adoption Change Management & Scale
Your embedded AI Enablement Lead conducts bi-weekly improvement sprints, monitors adoption rates, tracks performance against baseline, and expands the agent complement as organizational confidence grows.
GOVERNANCE
First useful. Then trustworthy.
We ensure AI can grow safely inside the company with traceability, monitoring and risk control.
- Aligned with global standards (ISO 42001 / NIST AI RMF / EU AI Act)
- The system scales without creating risk
AI ENABLEMENT LEAD
The human role most enterprises are missing.
Enterprise AI stalls at the handover, the moment between the consulting engagement and internal execution. Without a dedicated human governing continuous improvement, AI reverts to a fragmented experiment within months. That is not a technology problem. It is a governance structure problem.
The AI Enablement Lead is that structure, embedded inside your hierarchy. Responsible for human-guided AI strategy, adoption management, agent governance, and expansion.
Nor&Int delivers the capability at a fraction of the full-time hiring cost.
GLOBAL REACH
Supporting enterprises across global locations and time zones.
IMPLEMENTATION CASES
What changes when architecture comes first.
Two enterprise AI implementation case studies anonymized per NDA.
Regulated Industry (Legal/Creative)
High legal department return rates and constant rework cycles.
High Demand Creative Environment
Time lost structuring and aligning ideas across formats before production begin.
STANDARDIZED IMPLEMENTATION
Discover our standardized case for marketing agencies.
AI OPERATING SYSTEM
$5,000
USD / MONTH
Starting price, adjusted for company size and operational scope
- AI infrastructure licenses paid directly by client.
- Embedded AI Enablement Lead inside your organization.
- Up to 3 intelligent workflow agents in production.
- Full AI Process Architecture documentation.
- ISO 42001, NIST AI RMF & EU AI Act governance alignment.
- Bi-weekly AI adoption improvement sprints.
- Monthly quantified ROI impact reviews.
THE ECONOMICS OF AN EMBEDDED AI CAPABILITY
Not a project. A capability.
Hiring a full-time Chief AI Officer costs $180,000–$280,000 USD/year. A strategic AI consultant bills $15,000–$25,000 USD/month. Nor&Int's AI Operating System delivers both functions at a fraction of the cost, embedded inside your structure from day one.
See pricing structure
FAQ