AI in business: what the leaders do, why most efforts stall, and how to start
Each article compares real results, cites its sources in the same sentence, and ends with a 30-day plan you can use.
Why only 2 in 10 companies make AI agents work, and the 4 moves that set them apart
One bank gives each AI agent an employee number and a human manager; another rehearsed its support agent on 16,000 simulated customers. What the successful few do, why most projects stall, and a week-by-week plan for your first safe agent project.
Read the article →AI in finance: how DBS reached S$1 billion in measured value, and 4 habits others can copy
DBS tests AI against control groups like a drug trial; another bank reversed AI job cuts within weeks. What regulators now expect, including the RBI’s FREE-AI framework.
Read the article →AI coding in IT services: the same tools saved Amazon 4,500 developer-years and slowed expert coders by 19%
Where AI coding helps delivery and where it hurts, what it means for the services pyramid, and a 30-day plan to start safely.
Read the article →Legal AI cut first-draft time by 45% in one firm’s trials: getting the gains without the fake cases
Contract review, research and first drafts, with sourced numbers, and the court cases that show what goes wrong without checks.
Read the article →AI security for enterprises: one in five organisations reported a breach due to shadow AI
The five real risks in plain words, seven controls that cut them, and what India’s data protection rules mean for your teams.
Read the article →RAG for enterprise AI search: how one bank cut wrong answers from 20–30% to under 10%
How answering from your own documents works, why it still goes wrong, and the practices that make it reliable.
Read the article →Want these results in your own business?
We turn the moves in these articles into an assessment, a pilot or team training.