Each organisation is different, but companies undergoing transformation programmes are often diagnosed with similar problems. Unique among advisory firms, A&M is able to apply Value Engineering measures in restructuring contexts. A&M practitioners have helped clients improve competitiveness and reduce COGS by between 20% and 30% within a span of 12-24 months using Value Engineering methodologies.
Value Engineering is an additive component of transformation programmes. It provides opportunities for organisations to drive significant incremental efficiencies in traditional transformations. Value Engineering methodologies can be applied to projects as diverse as capacity adjustments, footprint optimisations, labour cost arbitrage and value-to cost ratio improvements.
A&M has decades of experience addressing the most complex industrial transformation projects for organisations around the world. Our unique approach puts senior practitioners close to the action, generating demonstrable improvements for our clients.
Click here to read the article.
A&M's Strategic Perspective on Finance in the Age of AI
July 16, 2026
In A&M's Strategic Perspective on Finance in the Age of AI, the CFO Services team examines how AI is fundamentally reshaping the finance operating model, from one-time transformation programs to continuous evolution, and what CFOs and finance leaders must redesign now to build competitive advantage before the market moves past them.
Designing the AI Workforce: How Leaders Turn Disruption Into Advantage
July 7, 2026
A&M's Corporate Performance Improvement practice examines what history tells us about this moment and what leaders must build now to turn disruption into durable advantage.
Beyond Localization: The Next Phase of Saudi Arabia's Aerospace & Defense Ambition
July 5, 2026
Saudi Arabia's Aerospace & Defense ambition under Vision 2030 is reshaping the Kingdom's industrial base. As localization accelerates, the focus is shifting toward indigenous engineering capability, industrialization, and long-term defense sovereignty.
The Telco AI Value Paradox
June 16, 2026
A&M's Telecommunications & Digital Infrastructure practice examines why the domains that offer the greatest AI opportunity are consistently the same domains with the most fragmented data, the highest system complexity, and the greatest deployment risk.
