Decision Intelligence: AI’s Next Phase (Everything You Need to Know)

 

What Is Decision Intelligence?

The 80/20 rule.

If you’ve ever worked in Japan, you know how much time planning takes.

On average, 80% of work time is spent on planning and only 20% on execution.

Compare that with Silicon Valley, where the ratio is flipped: 20% planning and 80% execution.

Decision Intelligence (DI) is the next evolution of AI, designed to optimize that decision-making process.

It’s an AI that turns planning from a bottleneck into a competitive advantage.

The company driving this shift in AI is Kimaru.ai.

A Japanese-born platform reflecting awareness of the need to adopt emerging technologies ahead of the looming 2025 Digital Cliff.

They are starting with use cases in the global supply chain, and rapidly expanding beyond.

Kimaru.ai leans on Large Reasoning Models (LRMs) rather than Large Language Models (LLMs), making it more adaptable for real-world decision-making.

We sat down with Kimaru.ai’s Co-Founder and CEO, Evan Burkosky, to learn everything you need to know about the next phase of AI.

 

Wha is the difference between an LLM and an LRM?

So what’s the difference?

  • LLMs (Large Language Models): Pre-training dominant, deterministic, and constrained by limited memory windows. They’re great at predicting the next word, but limited in adaptive reasoning.

  • LRMs (Large Reasoning Models): Reinforcement Learning with Human Feedback (RLHF) dominant, probabilistic, and flexible. They leverage larger “memory windows” and learn from ongoing human interaction.

👉 The key: Business needs adaptability, not just predictability.
LRMs provide critical thinking + creative problem-solving, making outputs more accurate and relevant over time.

 

The Evolution of AI in Decision-Making

Decision Intelligence builds on three generations of AI analytics:

  1. Descriptive Analytics – Understand patterns (e.g., Amazon shopping recommendations).

  2. Predictive Analytics – Forecast future outcomes (e.g., Google search autocomplete).

  3. Prescriptive Analytics – Recommend the best path forward using simulations and algorithms (e.g., Monte Carlo simulations, decision-making AI).

DI lives in the prescriptive category — actively helping humans decide what to do next.

 

Real-World Impact of Decision Intelligence

Speed up decision-making, and you directly reduce costs for organizations.

Decision Intelligence is already transforming four key areas of industry:

  • Pricing Decisions

  • Inventory Optimization

  • Route Optimization

  • Demand Forecasting

According to Kimaru.ai’s research:

  • Inventory management costs can be cut by 15% on average.

  • Product storage periods and food spoilage shrink, while waste drops by 35%.

  • Customer service efficiency across supply chains improves by 65%.

That’s not just efficiency — it’s alignment with SDGs and ESG sustainability goals.

 

How to Leverage Decision Intelligence

Think of DI as the bullet train of business decision-making. You can interact with it in three ways:

  1. Accept recommendations → Take immediate action.

  2. Push to a worklist → Simulate alternative scenarios and return later.

  3. Override with your own inputs → Add human creativity, metrics, or parameters.

Every interaction makes the AI smarter through RLHF. You’re not being replaced — you’re training the system to get sharper for real-world demands.

 

The Bigger Picture: Future Productivity

As per-hour productivity rises, you gain back time to focus on high-value, creative, and cross-disciplinary work.

  • Everyday professionals will bridge business and technical tracks more easily.

  • AI won’t take away jobs — it will augment tasks and unlock career growth.

  • Adaptability becomes the ultimate skill in the AI era.

As Evan from Kimaru.ai puts it:

“AI is not about replacing your career. It’s about augmenting your tasks and giving you the space to upskill.”

 

Final Thoughts & Next Steps

Decision Intelligence is a buzzword.

But the buzz is coming from the AI bubble bursting.

DI the practical next step for AI.

With platforms like Kimaru.ai leading the charge, we’re entering a future where decisions are faster, smarter, and more sustainable.

If you’d like to explore how Kimaru.ai can help your organization accelerate decision-making, you can:

Key Takeaway: Decision Intelligence blends human creativity + AI adaptability to redefine how businesses plan, act, and grow.

 

Watch the full interview

 
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