How to use AI in business

How to use AI in business – How to turn AI into business value: a practical guide for leaders

We wrote this guide for you to walk through the approach that forerunner companies must use to stay ahead in the AI-driven landscape.

Download the guide and learn how to:

Get started with your AI initiatives
Implement your AI solutions so that they generate value for your business, and
Scale your AI capabilities and solutions across your organisation

Get the best practices to adopt and scale AI effectively to drive real growth.

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Whether you’re starting your AI journey and figuring out how to begin, looking for ideas on how to benefit from AI in your business or thinking about how to get more value from your AI experimentations and solutions, this guide will provide the best practices to adopt and scale AI effectively to drive growth.

Sanna Öster Data & AI Business Designer, Solita

Across industries, organisations invest heavily in AI. Yet many struggle to turn experiments into real business value. Companies often face challenges such as:

Unclear AI vision and misaligned initiatives
Fragmented data and limited skills slowing implementation
A culture that rewards certainty over
Difficulty prioritising dozens of AI use cases

This guide helps you overcome these challenges with concrete frameworks, examples and a proven step-by-step approach.

It features real-world cases from:

KONE: Predictive maintenance reducing repair call-outs by 40%
Tana: Faster troubleshooting and onboarding with GenAI
ISS: Billing process automation improving efficiency & accuracy
Outokumpu, Kela, Metso, YIT, and others

The guide is designed for: CIOs, CDOs, Heads of AI & Data, Digital transformation and strategy leaders, Innovation owners, business leads, and tech decision-makers and organisations starting or scaling their AI initiatives.

Key learnings

How AI creates value in modern business

What AI delivers today: productivity, automation, decision support, innovation
High-impact AI use cases & where to find them

Learn how to identify use cases that are desirable, viable and feasible
How to test your AI idea fast without wasting time or budget

A full process for rapid experimentation, MVPs and co-design
Implementing AI responsibly and on a scale

Data, governance, MLOps, and long-term lifecycle management
AI strategy: Aligning AI with real business goals

How to build an actionable AI roadmap & capability model
AI shaping the future of work

A look into CollabAI, accelerated development cycles and what’s coming next

Take a peek

Download full guide