Moving from detective work in FP&A to proactive decision support. For CFOs, VPs of Engineering, and leaders bridging the gap between Finance and Engineering.
Workforce Engineering is the practice of deliberately designing, measuring and optimising how an organisation deploys its labour — human and AI — to produce outcomes. Here's the framework, the six practices, and how to get started.
Read moreHigh-performing teams embrace flexibility while maintaining strategic direction. When replanning carries minimal friction, teams can take larger risks and respond faster to market opportunities.
Read on willhackett.ukThe real transformation lies in how organisations reallocate engineering capacity. The real constraint isn't individual output—it's organisational capacity.
Read on willhackett.ukAI model pricing is bifurcating. Frontier models are becoming more expensive while commodity models show mixed results. The era of unlimited pricing plans is over.
Read on willhackett.ukManagement layer proliferation, rather than engineering capability, causes major software failures. Successful companies maintain small team energy with minimal hierarchy.
Read on willhackett.ukNobody can tell you what anything actually costs. Private equity's focus on operational excellence is forcing CTOs to demonstrate clear cost accountability.
Read on willhackett.ukEngineering represents both an organisation's largest expense and most critical delivery driver, yet planning tools remain almost exclusively in the hands of finance.
Read moreModern organizations operate at a pace that defies annual planning cycles. Yet most workforce planning still relies on fixed organizational charts and yearly model refreshes.
Read moreMost leaders understand that engineering represents their largest expense. Yet when asked straightforward questions about hiring delays, executives must embark on investigative work.
Read more