IsASML the gold standard of an Ecosystem Orchestrator? They did not build the world’s most advanced Extreme Ultraviolet (EUV) lithography systems by acting as a traditional vertical manufacturer or a gatekeeping platform—they built it by constructing a transnational ecosystem bound by precise Control Points.
ASML effectively proves that when an ecosystem spans global geographic borders, it isn’t just held together by ownership or rigid contracts; it is held together by shared intelligence, mutual dependence, and systemic control points and significant trust and confidence.
Deconstructing ASML Through the Ecosystem Formula
I have been recently looking at different Ecosystem formula’s and this one brings out the Orchestration equation
It is never easy to shift and adjust to new versions of any architectural framework. In the case of the Intelligent Integrated Business Ecosystems (IIBE) approach, I felt I was getting towards a pressure point to recast part of the IIBE, specifically its intelligent engine. Let me briefly explain.
My aim here is to sharpen the IIBE’s Intelligent Engine — not rebuilding It but provide a further disciplined refinement to the IIBE’s Intelligent Engine, so it becomes sharper, not bigger
I had conceived this part of the IIBE around Form- Flow- Fusion in V2 and it was where Human and AI combined. Today that world has accelerated, fragmented, and multiplied. The environment around Ecosystems has changed.
The 60-Second Plain English Pitchfirst
Most companies try to run increasingly complex business partnerships using a 1990s mindset: a fixed master plan, a central coordinator, and slow, manual decision-making struggle and lose so much value and opportunities to grow their businesses.
The IIBE V3 refinement sharpens how the Blueprint reads and routes signal — it does not hand decision-making to the system.
It builds a setup where human judgment, AI sensing, and ecosystem signal are read together, continuously, so the practitioner and the client can adjust partner relationships and address bottlenecks faster — without waiting for a quarterly board meeting to change direction. The reading gets faster. The deciding stays exactly where it belongs.
What Changed: V2 vs. V3
The Old Approach (V2): Focused on simple Human + AI collaboration to streamline, diagnose and discover opportunities that generated Ecosystem sensingand signals in partnering networks to extend existing ecosystems and shift the business orientation into these collaborating opportunities
The Refinement (V3): Sharpens how richer signal — including what AI agents, automated contracts, and independent company systems now generate directly — gets absorbed into the Triad Engine for its diagnostic and triggering value. It doesn’t hand the ecosystem its own decision loop. It lets the human element evaluate faster, on better signal, while keeping the call where it has always belonged: with the practitioner and the client.
If you are a Chief Strategy Officer, Chief Technology Officer, or Innovation Leader in a complex industry (Healthcare, Energy, Smart Cities, Industrial IoT) where multi-partner collaboration and AI orchestration are moving your core to your future business model then the IIBE V3 is a really important meeting point.
Equally if you need a quick, simple operational toolkit to explore and experiment, or if your organisation lacks digital maturity, ecosystem understanding and data integration basics, then it is still a good place to chat, explore and build experience, experiment and growing understanding of the dynamics within ecosystems.
Best Practice: then treat IIBE V3 as a mental model and strategic compass to guide high-level architecture thinking, that can build your own unique step-by-step operational rulebook alongside you. For me this is both exciting and cautionary as the combination of Human, AI sensing and Ecosystem signals combines to spot those emerging opportunities. We must not crowd one out for the other.
Riding the waves of Corporate Change attribute: http://www.valsartdiary.com/shop/riding-the-wave/
There is this sense that the Ecosystem Era is upon us. There are so many organisations struggling under the burden of outdated business models
Legacy frameworks that simply cannot bear the weight of modern complexity. When the foundation begins to fracture, patching the surface is no longer a viable strategy.
The timber is cracking under such outdated models in so many board rooms
Why the Timber Breaks
Rigid structures: Unable to flex under volatile market pressures.
Technical debt: Heavy legacy systems overloading modern infrastructure.
Information silos: Slowing down real-time decision-making capabilities.
Scale mismatches: Old processes buckling under exponential growth demands.
The Path to Structural Renewal
Are you dealing with an outdated organizational structure, failing system architecture, or a specific business model that is giving way? Tell me where the cracks are forming, and we can map out the blueprint to rebuild it. That is what the Intelligent Integrated Business Ecosystem (IIBE) was designed for.
Assess and Diagnose the stress points: Pinpoint exactly where the bottlenecks and friction occur.
Decouple the core, lessen dependencies : Separate legacy dependencies to allow for modular upgrades.
Introduce flexibility and experimentation: Transition to agile, adaptive, and scalable frameworks to learn from them
Distribute the load and reenergise: Empower decentralized teams to move faster and lighter.
As it is the summer break in the Northern hemisphere here is some tactical light relief taken from the Art of War by Sun Tzu
What the next phase of healthcare technology requires — and why the organisations best positioned to deliver it have not yet designed for it. We need to adapt and seek out the emerging knowledge, value and connections achieved through Ecosystem design
This post is a ten to twelve minute read: invest the time, understand the return.
No doubt something significant has been built in healthcare through technology.
Over the past decade, the leading organisations in healthcare technology have made investments that would have seemed implausible at the start of it. Diagnostic imaging data estates that encompass millions of patient encounters across dozens of geographies. Artificial intelligence portfolios with hundreds of clinically validated applications, cleared by the most demanding regulatory bodies in the world.
Investments in platform architectures designed to aggregate data from disparate systems, vendors, and care settings into a single coherent intelligence layer. Partnership networks spanning pharmaceutical companies, hospital systems, academic medical centres, AI developers, payers, and care pathway specialists — relationships built with genuine sophistication and genuine intent by many of the leading organisations* engaged in healthcare.
The financial results that have followed reflect the quality of this work. Enterprise agreements signed at a scale and duration that signal deep institutional trust. Margins expanding. Innovation pipelines strengthening. Clinical outcomes improving in measurable and documented ways. The organisations that have invested most seriously in building these capabilities have, by most reasonable measures, been rewarded for doing so.
This is not a piece that questions any of that. The investment has been real. The capability built is genuine. The results achieved are deserved.
The question this piece asks is a different one. Not whether what has been built is valuable — it is. But whether it is sufficient for what comes next.
Recently I have been evaluating a cohort of Seven leading companies on where they are on Business Ecosystem thinking
The seven organizations are
Hitachi Energy
ABB
Maersk
Johnson Controls
DHL
Allianz
Siemens Healthineers (not Siemens AG)
Firstly you gain the universal tension they all feel
Firstly, it seems every company is caught in the same structural bind:
Their value creation now depends on actors they don’t control (utilities, ports, regulators, integrators, OEMs, hospitals, carriers, developers, insurers, cities).
Their strategic bets require multi‑actor coordination (energy transition, digital grids, smart buildings, logistics visibility, embedded insurance, connected care).
Their existing operating model is built for bilateral relationships, not multi‑actor ecosystems.
Their platforms and digital initiatives have already shown the limits of “technology + partners.”
This is their shared pain point they all can elevate into a compelling need for Ecosystem change if they have the 1)ambition and desire and 2) the understanding of what it takes..
Flow Form and Fusion are all required in Europe for successful Ecosystems
Seven of Europe’s most significant industrial leaders have written an open letter last week, Read it carefully ( provided at the end of this article) — not for its political framing, not for its diplomatic language — but for what it says beneath the surface. We do need to pay attention and we need to find solutions, both short term and long-term
It can become a pivotal moment in European Technology and Industrial businesses future.
These technology and industry leaders are not start-ups seeking support. These are not trade associations lobbying for advantage. These are the chief executives of companies that between them employ hundreds of thousands of people, anchor entire industrial ecosystems, and carry a significant share of Europe’s capacity to compete at global industrial scale.
They are saying, in public, that something structural is wrong.
A letter written by seven CEOs is not a policy request. It is a structural diagnosis attempting to become visible.
I have been researching and diagnosing Siemens AG by putting through them my IIBE architecture approach and diagnostic.
This second postdiscussestheir growing orchestration gap and the possible paths beyond this, if of course, they recognize it and what it means.
In my first post “Siemens and the Dual-force are a great case study” I offered a view about the need to apply a Dual-Force Model to building Ecosystems , yet also there are certain levels of cautionin their next steps offered in this case study on the power and value of the Dual-Forces of AI + Intelligent Integrated Business Ecosystem model (IIBE), my lens at looking at the evolution of Business Ecosystems.
I argued that while Siemens holds a dominant position at the intersection of digital and physical domains. They are well positioned in key frameworks such as digital twins serving as coordination mechanisms. Siemens can create a self-improving system that is structurally impossible for competitors to replicate.
The IIBE verdict on Siemens is they have built the most credible industrial ecosystem you can find in the Industrial sector. It has the data, the partners, the sector coverage, and the AI capability to be the Dual-Force Model at full realisation.
What Siemens has not yet built is the orchestration architecture that turns those ingredients into a self-improving, compounding intelligence system.
This post starts at addressing part of the issues to achieve this.
Positioning the Dual-Force built with AI and IIBE within Siemens
Siemens are a great case study in validation about the need to apply a Dual-Force Model to building Ecosystems , yet also there are certain levels of cautionin their next steps
This is a week (April 20th-24th) so critically important to Siemens and the Industrial Sector. This is the coming week for HANNOVER MESSE,the most important international platform and hot spot for industrial transformation
Siemens commits significant resources and budgets to this event this takes you to their navigation page to sign up and join in. It offers a “flagship” of their business. I gain enormous understanding of what is “internally” going in or in “selected” collaborations within the organization, in products, services, ideas and their approach to their markets.
They offer an immersive experience before, during and after the HM 2026 with their interactive Booth Navigator and a non-stop Stage Program where you can create your own experience and explore a daily stage program over five days packed with tech trends, industry insights and success stories. You can watch this live on site, via stream or on demand.
One criticism of this HM2029 event from Siemens is they simply do not focus enough on the emphasis of Ecosystem management and what their Xcelerator platform can provide for their future growth, which is significantly more than at present in my opinion.
This is one case example where I would be wanting to understand where Siemens are in the Dual-Force Model. So let me offer this as a case study in validation and caution. They may not even recognize it as a growing problem for them! They need to.
This is about a 12 minute read so you might need to find the downtime to enjoy the read. Grab that coffee and lets go:
Every organisation today is being pulled into ecosystems it did not design and cannot control. Not the whole sector — your organisation. Your customers, your partners, your regulators, your data flows, your intelligence, your risks.
And somewhere along the way, the tools that once worked stopped being enough.
You built platforms. You formed partnerships. You invested in digital. You aligned with standards. You modernised your infrastructure. You improved coordination.
And yet the system still resists.
Not the global system — your system. The one you live with every day.
You feel it in the friction between teams. In the partners who can’t quite align. In the AI that works in pilots but not in practice. In the opportunities that appear promising but never fully materialise. In the governance debates that repeat without resolution. In the sense that you’re working harder than ever, yet progress feels strangely fragile.
This is not because your organisation is doing anything wrong. It’s because you are now operating inside an ecosystem — but without an ecosystem architecture.
And that is the gap the IIBE exists to fill.
The IIBE is not designed for entire industries. It is designed for the few organisations inside each industry that are ready to move faster, see more clearly, and collaborate more intelligently than the system around them.
It exists for the companies that:
feel the limits of their current tools
sense the misalignment but can’t name its cause
know their partners matter but can’t make the system cohere
see the opportunity but can’t turn it into durable advantage
recognise that the world around them has become more interconnected than their architecture allows
Applying the IIBE architecture approach
The IIBE gives these organisations something they do not currently have:
AI Needs Architecture: Why the Next Competitive Advantage Is the Intelligent Ecosystem
Artificial intelligence is advancing at extraordinary speed.
Across industries we see the same pattern emerging: productivity gains, improved forecasting, sharper decision support, and faster product development. Organizations that adopt AI well are clearly gaining efficiency advantages.
But beneath the excitement lies a quieter question that many leadership teams have not yet confronted.
What happens when everyone has AI?
When the tools become widely available, the technology itself stops being the differentiator. The advantage shifts elsewhere.
It shifts to the environment in which AI operates. In other words, AI strategy is quickly becoming architecture strategy.
The organizations that pull ahead in the coming decade will not simply be those with the best AI models. They will be the ones that build the richest intelligence environments around those models.
And those environments rarely sit within a single organization.
