Why high-leverage technology initiatives stall or create new operational risk
Technology bets become expensive when the business case is vague and the delivery foundations are weak.
Teams chase generic AI ideas or tooling trends instead of focusing on a workflow, customer problem, or revenue lever worth solving
Prototypes look promising but fail once data quality, integration, latency, or governance constraints show up
Product, engineering, and commercial teams are not aligned on what success actually looks like
Automation and model choices are made without clear ownership, fallback paths, or operating discipline
Software foundations, observability, security, and release processes are not strong enough for production systems