Towards an Ambidextrous Centre of Excellence

 

Centres of Excellence (CoE) usually focus on protecting the core business by building capability & evangelizing critical methods or technologies (e.g. Lean/OpEx). That’s no longer enough – in an exponential age, the CoE must also help us grow.

The CoE’s Role is Changing

I’ve worked with CoEs for a couple of decades now & have seen them evolve in different directions. Historically, CoEs have focused on Cost – rightfully so.  Most CFOs will tell you Cost improvements tend to last longer than Revenue growth.  Moreover, Cost is amenable to Total Involvement, Quick & Easy Improvement, Kaizen Teian and other core elements of Lean/OpEx.

The CoE’s core functions comprise five key pillars:

1. Standardize & Share Best Processes & Methods

2. Build Knowledge & Capability

3. Lead, Align & Connect

4. On-Demand Support

5. Create Value through Innovation & Continuous Improvement

I’ve italicized ‘innovation’ in Pillar 5 to highlight the Growth imperative. Exponential technologies like AI, Data Analytics, Blockchain and the rest enable Growth.  Agentic AI, for example, is like the Genie in Disney’s Aladdin movies, making questions around How less daunting. Going forward we’ll be far less constrained by the tyranny of the How.

Protecting the Core is No Longer Enough

Ambidexterity

And so, protecting the core business with Lean/OpEx is no longer enough. To help ignite new Growth, the CoE must absorb a) new technologies like those mentioned above, and b) new ways of working including AI-enabled experimentation, Design Thinking, and Growth Hacking. Ambidexterity is Job One – we have to become ‘two-gear’ organizations able to a) Protect our core business with Lean/OpEx, and b) Ignite new Growth with Digital methods.

I don’t wish to be misunderstood: Lean/OpEx lays the essential foundation. Most transformations begin with Lean fundamentals, but we can’t stop there.  Otherwise, we’ll miss enormous Growth opportunities. Moreover, we’ll commission a Kaizen event when we really need an AI agent or Growth Hacking. I’ve also seen the reverse scenario. A digitally-focused CoE jumps to an expense Digital solution (e.g. RPA or Agentic AI) when a Lean/OpEx solution would be quicker, better & cheaper.

Building an Ambidextrous CoE

We need to build connected, complementary ‘learn by doing’ curricula around a) Protecting the Core Business, and b) Igniting New Growth.  We supplement these with time-boxed, focused, fast-paced sprints and other practical events activities like Boot Camps, Hackathons, and Shark Tanks. Such activities are flexible & can be focused where needed. We begin with Lean/OpEx basics – which remain opaque to many people. Every generation has to relearn the fundamentals.

My practice is to run these in a Train-the-Trainer style. Once the CoE levels up, they can take the baton & teach the organization.

Best wishes,

Pascal Dennis         E: pascal.dennis@leansystems.org

 

How Do We Win in an AI World? (Part 1)

 

Is the bloom off the AI rose?  AI optimism seems to be collapsing under a black wave of AI gloom.  To be sure, the effects of AI are everywhere, both good and bad, though the bad tends to grab the headlines. My practice is focused on improvement & innovation– both Digital & analogue.  What am I seeing & what does it mean?

Companies I work with are facing the following conundrum: How do we harness the power of AI while avoiding the jagged rocks dominating the headlines? The pushback against AI is real & growing.  People are rightly worried about their jobs, as industry after industry comes under attack. (And are humans not increasingly repelled, especially by AI in disguise, pretending to be human?)

Let’s imagine we are a large multinational customer-facing company. We have an honorable history of service to our communities, team members and shareholders. We’re under intense competitive pressure & are facing daunting Innovation, Lead Time & Cost challenges. Like so many of our peers, we’ve invested heavily in AI and know the Board expects a rapid ROI. And yet, our team members, though loyal & capable, are understandably hesitant to apply AI tools to improve productivity, reduce & otherwise improve our business. What to do?

AI’s challenge is not unprecedented. In fact, it reminds me of the challenge presented by Robotic Process Automation (RPA) a decade or so ago when it began to be applied at scale in industries like Financial Services. RPA is deterministic AI (If X, then Y) and has been used to automate data entry, invoice processing, and other high-volume, routine tasks. Agentic AI is non-deterministic (If X, then Y or maybe Z or maybe W) and excels at complex, cognitive tasks like customer support, strategic planning, or managing end-to-end IT operations. Unlike RPA, Agentic AI makes decisions based on your needs & the situation on the chessboard. Moreover, and this is perhaps what scares people most, Agentic AI learns through repetition. This is why chess programs like Leela and Alpha Zero continually get stronger, so much so, that human World Champions struggle to secure even a draw against them.

Many of the lessons we learned with RPA apply to Agentic AI. So, how do we win in our brave new world? Let’s begin with the most basic point: Agentic AI, like RPA, is a tool. As such, it can be an good servant but is a dreadful master. Let’s therefore, in every use case, define the problem we are trying to solve, and only then consider what tools might suit. As we’ll learn in coming articles, Agentic AI is rarely the first too you reach for.  Stay tuned.

Best wishes,

Pascal Dennis         E: pascal.dennis@leansystems.org