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AI Readiness Starts with the Right Foundation

Before you pick the tool, prepare your people, processes, and data to win with AI. Success comes from building the right foundation — governance, data quality, change management, and security — so AI delivers measurable results.

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Skip the Guesswork — Build for Success

The biggest predictor of AI success isn’t which model you choose — it’s how ready your organisation is to use it. Readiness turns risks like poor data hygiene and unclear governance into competitive advantage.

  • Consolidate and structure organisational knowledge.
  • Put governance and security in place to manage AI safely.
  • Prepare teams and culture for adoption and change.

See how governance aligns with our SAFER AI framework.

AI readiness data governance and quality workflow for successful enterprise AI adoption

AI readiness company intelligence manager workflow: capture, organise, and access secure enterprise knowledge

From Chaos to Clarity: Your Company Intelligence Manager (CIM)

Most organisations already have the knowledge they need — it’s scattered and risky. AIQ™ becomes your private, secure, always‑current hub for organisational intelligence, ready to power any AI tool.

How it works:

  1. Capture — Quick, easy ingestion from notes, transcripts, and systems.
  2. Organise — Professional preparation, centralisation, and indexing in a secure CIM.
  3. Access — Safe connections to private AI tools for real-time, role‑aligned use.
  • Reduce risk by eliminating fragile “tribal knowledge”.
  • Secure & private by design.
  • Future‑proof to work with any AI app.

Bring AI Out of the Shadows

Shadow AI — unapproved AI use by employees — is already happening. Without governance, you risk data leaks, compliance breaches, and inconsistent outcomes. Our readiness approach gives employees approved, secure capabilities so they don’t need to go rogue.

“If you’re not providing these tools securely, your employees are finding their own — and that’s your biggest risk.”

Shadow AI risk versus governed AI approach for secure enterprise adoption

AI adoption model showing 10-20-70 framework: strategy, use cases, and behaviour

The 10-20-70 Rule for AI Implementation

Most organisations spend too much effort picking the perfect AI platform — and not enough on the cultural and operational shifts needed for success. Our SAFER AI model refocuses your strategy where it matters most:

  • 10% Technology — Selecting AI tools and platforms
  • 20% Use cases — Defining meaningful business applications
  • 70% Behaviour — Driving adoption through leadership, communication, and training

This is where most AI programs fail. Let us help you design one that doesn’t.