As artificial intelligence (AI) transforms how work is executed, organizations with robust process frameworks are better placed to lead and maintain operational rigor at scale. Frameworks like Lean Six Sigma and business process management (BPM) provide structured ways to bring order to chaotic operations, emphasizing statistical accuracy and data-driven decision-making.

Now, as companies seek to embed AI into these proven methodologies, the market for AI-powered process optimization is projected to exceed $113 billion within the next decade. A recent study showed that 88% of business leaders anticipate increasing investments in this area over the coming years. However, without solid foundations, many of these investments may not fully deliver on their potential.

Companies that operate with discipline can channel new AI tools into established systems more effectively than those with shaky bases. These organizations are better positioned to translate AI ambition into real outcomes because they already embrace data-driven decision-making and process discipline—precisely what AI systems need to succeed.

In short, while AI can accelerate process excellence, existing process excellence is essential for AI to be truly impactful. The integration of technology and process must not remain separate levers but should work in tandem if companies wish to realize the full value of both.