From Hype to Business Value: The Emerging Use Cases Shaping the Future of AI Strategy

Generative AI is no longer just about creating content or writing code. It’s evolving into a core business enabler — one that reshapes how organisations operate, make decisions, and engage with customers. But for all the excitement, many businesses are still stuck in pilot mode, unsure how to move from experimentation to tangible results.

AI - the interplay between man and machine

That’s where the right AI strategy comes in.

In this series, we’ll unpack the most promising, practical, and powerful use cases emerging across industries — and what they mean for companies trying to navigate the ever-shifting AI landscape.

Why This Matters Now

According to Gartner, over 80% of systems integrators and software providers will be using generative AI tools across the full software development life cycle (SDLC) by 2026 — up from just 15% in 2024. Meanwhile, the rise of agentic AI and multimodal content generation is unlocking new frontiers in business design, automation, and decision-making.

The opportunity is here — but so is the challenge: how do you put this technology to work, at scale, in a way that drives lasting business value?

Use Case No. 1: Agentic AI in Decision-Making

Forget the idea of AI as just an assistant. The new generation of agentic AI tools can independently break down complex problems, coordinate tasks, and make decisions — all with human oversight. These AI agents are already being applied across the SDLC, from requirement gathering to testing and deployment.

What it means for your business:

• Automate complex workflows, not just individual tasks

• Enable strategic planning and scenario modelling at scale

• Shift your team from doing the work to designing the system that does the work

  
  

Use Case No. 2: Multimodal Content Generation

Most businesses are still using GenAI to write text. But the leaders are building systems that understand and generate across multiple modes — text, image, audio, and video. For example, combining voice input with visual analysis to trigger automated processes in healthcare, retail or manufacturing.

What it means for your business:

• Better customer engagement through rich, interactive experiences

• Smarter analytics by combining different data types

• Higher automation potential across the business

Use Case No.3: AI-Driven Simulation for Business Planning

Simulation used to be the domain of engineers and scientists. Not anymore. Businesses are now using AI-powered simulations to model customer behaviour, test supply chain changes, and explore market scenarios — all without touching live systems.

What it means for your business:

• Faster, safer decision-making with synthetic data

• Proactive risk management and better ROI forecasting

• Stronger alignment between strategy and execution

Where Beyond Comes In

At Beyond, we don’t chase shiny tech. We build AI strategies that deliver measurable outcomes — combining human insight, data-driven design, and scalable solutions.

Whether you’re looking to:

• Move from experimentation to execution

• Understand which use cases make sense for your business

• Build an integrated data and AI strategy that aligns with your goals

…we’re here to help.

What’s Next in This AI Strategy Series?

We'll be writing a whole series on this topic over the next few months including the below, so keep an eye out for the next installment.

1. What is Agentic AI? And how it will reshape your operating model

2. The Rise of Multimodal AI — and what to do with it

3. AI Simulation in Strategy and Planning

4. How to Build an AI-Ready Data Strategy

5. From Dashboards to Decision Engineering: Where AI Is Really Headed

Let’s Talk

Want help identifying your highest-impact use cases or building a roadmap to scale AI across your business? https://www.puttingdatatowork.com/contact-us

.