---
url: https://www.adoptionlab.ai/resources/
title: "Resources — Articles on outcome delivery | AdoptionLab.AI"
description: "Practical guides on outcome delivery, change management, and putting GenAI to work — for small and mid-market leaders."
generated: 2026-05-17T19:36:45.191Z
---Resources
# Articles & Guides
Practical writing on outcome delivery, change management, and building lasting capability.
## Articles
Article
Apr 22, 2026
### Why 95% of AI Pilots Fail — And the Five Patterns That Predict It
MIT's 2025 GenAI Divide report found that roughly 95% of enterprise AI pilots fail to produce measurable returns. Technology rarely is the cause. Here are the adoption, governance, and prioritization patterns that predict failure — and how to avoid them.
AI pilotsoutcome deliverychange management
Article
Apr 15, 2026
### An AI Policy Template for Mid-Market Companies (Without a Forty-Page Document Nobody Reads)
Most AI policies are either too thin to govern anything or too long for anyone to follow. Here is a practical, two-part AI policy template — red lines and approved use — designed for companies between 50 and 500 employees.
AI policyAI governanceoutcome delivery
Article
Apr 8, 2026
### The AI Adoption Scaffold: A Five-Phase Framework for Small and Mid-Market Companies
A practical, five-phase framework — Explore, Experiment, Extend, Embed, re-Envision — for moving your organization from AI curiosity to lasting AI capability. Built for companies that don't have Fortune 500 budgets or transformation offices.
outcome deliveryAI Adoption Scaffoldchange management
Article
Apr 1, 2026
### The Promptathon Playbook: How to Run a One-Day AI Event That Actually Sticks
A facilitated, on-site AI event where employees learn to use AI on real work problems. Here is the full playbook — pre-work, the day itself, and the debrief that turns a fun afternoon into a lasting habit.
promptathonoutcome deliveryteam enablement
## Guides, Toolkits & Templates
Coming soon. Practical frameworks and templates for running AI pilots, building AI policy, and onboarding your team.