Artificial Intelligence (AI) is no longer a distant vision—it’s a strategic enabler transforming how enterprises operate, make decisions, and innovate. Yet, while the promise of AI is universal, the readiness of organizations to harness its full potential is vastly different.

A recent study by MIT Sloan Management Review has distilled enterprise AI readiness into four distinct maturity stages. Understanding where your business stands in this journey is essential—not only to avoid falling behind, but also to stay agile, resilient, and future-ready in a rapidly evolving APAC landscape.

Stage 1: Experiment and Prepare (28%)

At this stage, organizations are laying foundational AI literacy. They’re focused on:

• Educating teams about AI concepts and use cases
• Establishing data access policies and governance
• Identifying human-in-the-loop decision points

📌 Strategic focus: Exploration and workforce education

🔎 If your business is here: It’s the right time to assess data readiness, invest in AI literacy, and start envisioning where AI can deliver early wins.

Stage 2: Build Pilots and Capabilities (34%)

Companies at this level are transitioning from theory to practice:

• Simplifying processes and launching pilot use cases
• Experimenting with LLMs (large language models), including generative AI
• Sharing data via APIs and fostering collaborative management styles

📌 Strategic focus: Business cases and MVPs (Minimum Viable Products)

🚀 If your business is here: You’re already testing value. Now is the moment to accelerate and formalize pilot programs with clear ROI metrics.

Stage 3: Develop AI Ways of Working (31%)

Here, enterprises begin scaling:

• Automating workflows across departments
• Architecting for reuse and AI platformization
• Integrating pretrained and proprietary models into production environments

📌 Strategic focus: Scaling platforms and embedding dashboards

🔧 If you’re here: You’re transitioning from isolated AI initiatives to embedded AI-driven culture. Your challenge is operational excellence.

Stage 4: Become AI Future-Ready (7%)

This elite group embeds AI into the very fabric of the business:

• AI is part of decision-making at every level
• Businesses are monetizing AI as services
• Traditional, generative, agentic, and robotic AI are seamlessly integrated

📌 Strategic focus: Continuous innovation and new revenue streams

🌐 If your business is here: Congratulations. Now the goal is to maintain innovation momentum while balancing ethics, governance, and expansion.

Why This Matters for APAC Enterprises

At DEHA GLOBAL, we work closely with mid-size and enterprise clients across Singapore, Malaysia, and the wider APAC region. Our experience shows most organizations fall within Stage 1 to Stage 2—exploring, piloting, but not yet scaling.

Meanwhile, cloud infrastructure is growing at over 25% YoY, and GenAI adoption in APAC is among the fastest globally, according to BCG and Deloitte.

The opportunity isn’t just in implementing AI.
It’s in moving up the maturity curve—faster, smarter, and with fewer missteps.

How DEHA GLOBAL Helps You Move Up the AI Maturity Curve

We specialize in helping APAC enterprises:

• Identify the right use cases for GenAI
• Build internal GenAI systems using secure cloud platforms
• Deploy MVPs in 2–4 weeks, not months
• Scale with MLOps and Cloud-native AI architectures

Whether you’re just starting or ready to scale, we meet you where you are—helping you move from experimentation to enterprise-wide transformation.

⚡ Ready to accelerate your AI journey?

👉 Book a Free AI Strategy Call

DEHA GLOBAL – Build Smart. Scale Faster.

Empowering APAC enterprises through practical, impactful AI and Cloud solutions.