# English overview

The complete guide is available in Italian: https://quadra-website.matt-madd.chatgpt.site/risorse/guide/ai-playbook-decidere/testo?lang=it

# How to move from trials to decisions

Author: Quadra
URL: https://quadra-website.matt-madd.chatgpt.site/risorse/guide/ai-playbook-decidere
Published: 2026-09-17
Updated: 2026-09-18
Language: en
Reading time: 5 min

Processes, responsibility and measures: a path to choosing your next step with greater clarity.

## At a glance

- Moving from trials to results requires a clear process, an owner and a measure of what changes.
- Identify your stage: exploration, first process, standardisation or scale. Choose the appropriate next step.
- Compare buying, building and working with a partner against your goals, data and ability to maintain the system.

## The difference is in the way of working

Tools alone do not define an outcome. Volume four aims to give AI a clear role in business work, with understandable responsibilities and measures, bringing the three previous volumes together.

## Six traits to build

Start with processes before products. Share a quality standard. Measure against a baseline. Govern access and information. Include human approvals where needed. Treat AI as a path to maintain and improve, one process at a time.

## The four stages

Exploration: experiment and recognise use cases. First process: choose a scope, an owner and a measurable outcome. Standardisation: turn what works into shared practice. Scale: apply the method to other processes. Recognising the stage helps set a realistic priority.

## Before investing

Which process do we want to improve, exactly? Who is responsible? How do we measure the result? What happens to the data? Should we buy, build or work with a partner? These questions distinguish a considered decision from an impulse purchase.

## Your starting picture

The PDF offers ten statements about real use, measured hours, quality, responsibility, business accounts, written rules and maintaining workflows. It is a self-reflection tool, not an audit or certification. Use it to identify answers to explore with your team.

## Sources and further reading

Further reading on the concepts covered in this guide.

- [NIST · Artificial Intelligence Risk Management Framework (AI RMF 1.0)](https://www.nist.gov/publications/artificial-intelligence-risk-management-framework-ai-rmf-10) — Published 26 January 2023. Accessed: 2026-09-18.

PDF (Italian): https://quadra-website.matt-madd.chatgpt.site/guides/AI-Playbook-Vol04-Decidere.pdf