Practical guides to AI adoption.

All articles

• Strategy5 min read Where to start with AI in a mid-sized business Skip the strategy deck. Pick one workflow, measure it, and prove value in weeks. Read the article
• Strategy4 min read Build vs buy: how to decide on AI tools Buying is usually faster. Building is sometimes necessary. Here's how to tell which situation you're in. Read the article
• Governance4 min read How to write an AI use policy your team will actually follow Short, specific and reviewed regularly beats long and ignored. Here's what to include. Read the article
• Strategy4 min read Measuring AI ROI honestly Most AI ROI claims skip the baseline. Here's a simple method that holds up to scrutiny. Read the article
• Technology4 min read How to choose an AI vendor or LLM provider Demos all look great. Data terms, real-world accuracy and exit options are where vendors differ. Read the article
• Operations4 min read Automating the back office: where AI helps and where rules are enough Much back-office automation doesn't need AI at all. The trick is knowing which parts do. Read the article
• Technology4 min read Is your data ready for AI? You don't need perfect data. You need to know where it lives, whether it's accurate enough, and whether you're allowed to use it. Read the article
• Governance5 min read AI risk and compliance basics for mid-sized businesses You don't need a compliance department to use AI responsibly. You need to know the main risks and a few sensible controls. Read the article
• Industry4 min read AI for mortgage teams: what to automate first, and what to leave alone Speed to lead and relentless follow-up are where AI helps most. Credit decisions are where it needs the most caution. Read the article
• People4 min read Training your team on AI: what actually works One demo doesn't change how people work. Role-based practice on real tasks does. Read the article