# English overview

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

# Why AI projects stall

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

Seven organisational traps, hidden costs and signs to recognise before investing more time.

## At a glance

- AI projects often stall for organisational reasons: no owner, inconsistent quality or unmeasured results.
- Real cost includes time, learning, maintenance and risks, as well as the subscription.
- Before adding tools, define the objective, responsibilities, data rules and a measure of success.

## The adoption paradox

Having tools does not mean the way of working has changed. This volume focuses on organisation: the chosen process, responsibility, integration and measures. Percentages in the original PDF describe specific studies and forecasts, not a forecast for an individual project.

## The seven traps

The shelf subscription: tools without a clear need. The endless pilot: a demo without release criteria. The weekend project: a system tied to one person. Random quality: no standards. Data in the wrong place: unmanaged accounts. The orphan automation: an unmaintained workflow. Measuring nothing: no baseline to assess value.

## The hidden cost of doing it yourself

Cost includes people’s time, learning, later repairs and risk management. The playbook values doing it yourself for exploration, but encourages a conscious decision about when an experiment becomes infrastructure the business relies on.

## Create order before adding tools

Another subscription does not define responsibilities or integrations. General training does not replace understanding the process. The guide suggests checking that there is an owner, a quality criterion, data rules and a measure of work before and after.

## Warning signs

Paid tools that go unused, quality depending on the person, data in personal accounts, workflows maintained by one person and pilots without deadlines are signs worth discussing. The PDF includes a checklist to identify which are present in your business.

## 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.
- [NIST · Generative Artificial Intelligence Profile](https://www.nist.gov/publications/artificial-intelligence-risk-management-framework-generative-artificial-intelligence) — Published 26 July 2024. Accessed: 2026-09-18.

PDF (Italian): https://quadra-website.matt-madd.chatgpt.site/guides/AI-Playbook-Vol03-Evitare.pdf