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FDE · AI Governance & Shadow AI Assessment

Govern your enterprise AI
across tokens, budget and the path to production

Through the FDE approach — identify, map and control every AI initiative in your organization — reduce Shadow AI risk, control token consumption and costs, and build a clear path to secure, governed, scalable enterprise AI.

Order the assessment→How it works
5assessment areas
360°enterprise AI map
MVP→Prodsafe path
↓ Detecting Shadow AI
AI initiative mapLive scan
✓
Enterprise RAG — support
Approved · owned · SSO
Approved
⚙
Marketing automation agent
In progress · awaiting governance
In progress
!
Unmanaged Copilot — finance
Sensitive data · no access control
Shadow AI
!
External GPT tool — operations
Uncontrolled cost · duplication
Shadow AI
The new enterprise challenge

Over the past year your organization adopted AI fast — mostly outside any control

Many organizations roll out AI tools quickly, but a large share of initiatives is set up outside enterprise IT and architecture processes:

ChatGPT & CopilotsAgents & smart automationsRAG systems & enterprise searchAI from business units & vendors
Shadow AI / Shadow IT

Solutions running without adequate control

Over data security, privacy, cost, permissions, data quality and policy compliance — all managed partially or not at all, creating growing organizational exposure.

Why is it risky?

Four risk areas every organization is exposed to

Data security

  • ✕Sensitive data exposed to external models
  • ✕Uncontrolled access to documents and stores
  • ✕No enterprise permissions management
  • ✕Prompt-injection and data-leakage risks

Uncontrolled costs

  • ✕Expensive models used without controls
  • ✕Duplication across separate solutions
  • ✕Unpredictable growth in token consumption

Operational risk

  • ✕Systems with no defined ownership
  • ✕No monitoring or supportability
  • ✕Dependence on individual developers or vendors

Data quality

  • ✕Answers based on stale data
  • ✕Data sources without governance
  • ✕Inability to explain or verify answers
”Service goal

Create a complete enterprise AI map and central control over existing and planned initiatives.
The goal is not to stop innovation — but to enable it safely, controllably and economically.

What do we check?

Five assessment areas for full AI coverage

1
Shadow AI Mapping

Shadow AI mapping

  • Which AI systems are already running?
  • Who uses them?
  • What data can they access?
  • Who owns them?
  • Is there duplication between solutions?
2
Governance & Security

Governance & security

  • Identity and permissions management
  • Enterprise SSO integration
  • Data protection and regulation
  • Logging and controls
  • AI usage policy
3
Architecture & Production Readiness

Architecture & production readiness

  • Ability to operate at scale
  • Resilience and availability
  • Monitoring and operations
  • Fit to the enterprise cloud
  • Safe path from MVP to production
4
FinOps & Cost

FinOps & cost

  • Actual monthly cost
  • Future growth forecast
  • Waste and duplication detection
  • Optimization of models and infrastructure
5
Data Readiness

Data readiness

  • Data quality
  • Permissions on data sources
  • RAG readiness
  • Retrieval quality and source citation
  • Knowledge update and management processes
Deliverables

What you get when the assessment is done

A complete organizational picture

A map of every AI initiative, by status:

  • ApprovedInitiatives managed under control
  • In progressAwaiting governance completion
  • Shadow AIRunning without organizational control

Risk scoring

For each initiative — a score on five axes:

  • Data security
  • Privacy
  • Cost
  • Operations
  • Policy compliance

Action plan

  • What can move to production
  • What needs fixing
  • What needs to stop or be redesigned
  • Enterprise governance recommendations
Value to the organization

The right balance of innovation, security and regulation

Full control over existing and new AI initiatives
Reduced Shadow IT and Shadow AI risk
Lower costs and no duplication
Faster, safer path to production
An enterprise AI governance framework
The right balance of innovation, security and regulation
The core message

The problem today isn't too few AI initiatives — it's too many unmanaged ones.

The service lets your organization identify, map and control all existing AI initiatives, reduce risk, and build a clear path to secure, governed, scalable enterprise AI.

Ready to take control of AI in your organization?

We'd be glad to show how the enterprise AI map works for you — starting from an initial Shadow AI mapping.

Order the assessment→
Emailinfo@ness-tech.co.ilPhone03-7666800