Most financial institutions believe they already understand their ecosystem. Banks have partner networks. Fintechs have platforms. Payment providers have rails. Regulators have oversight. Identity systems have standards. Data networks have APIs. Cloud providers have integration frameworks.
On paper, it all looks connected.
But in reality, none of these actors share a common architecture — and the system behaves accordingly. You name them HSBC, BNP Paribas, Citi, UBS, ING, etc, same for the payments or FinTechs. They all have established Ecosystems but no structured collaborative architecture to change what we have today.
Every healthcare organisation today is trying to move faster than the system it sits inside. Not the whole sector — your organisation.
You’re trying to accelerate clinical pathways, integrate data, collaborate with partners, scale AI, or bring new therapies to market. But every step forward is slowed by forces outside your control:
data you can’t access
partners who can’t align
regulators who move on different timelines
clinical networks that don’t share incentives
intelligence that gets stuck at organisational boundaries
You’re not failing. You’re running into the architecture of the system.
You are operating inside an ecosystem — but without an ecosystem architecture.
Applying the IIBE Lens to the Grid Complexity to Trigger Collaboration
I believe there is a strong positioning proposal for forming an Intelligent Integrated Energy Ecosystem to confront the growing Grid Crisis.
Let’s Frame the Challenge– Across Europe, as well as the United States of America and multiple countries or regions globally, electricity grids are reaching structural limits
Increasing renewable penetration, growing electrification, distributed energy resources (DER), and the rise of prosumers have created a coordination problem of enormous complexity.
I wanted to provide a simple Executive Explainer on the The Integrated Interconnected Business Ecosystem (IIBE)
Background to the IIBE Model– Executive Summary
The global business environment is entering a decisive shift: from platform-centric models to dynamic, intelligent, interconnected ecosystems. The convergence of AI-driven intelligence, orchestrated collaboration, micro-ecosystem structures, and regenerative purpose is reshaping how value is created, governed, and scaled.
The Integrated Interconnected Business Ecosystem (IIBE) provides the operating logic for this transition. This expainer outlines the key dynamics, design principles, and strategic pathways that will define the Intelligent Business Ecosystem era from 2026 to 2030.
In my opinion and for many others, Ecosystems are the necessary pathway all Business will need to consider and then travel for dealing in a complex, challenging world where closer more deliberate collaboration and co-creation will be needed, to solve more complicated problems that individual organizations will find it increasingly difficult to be able to solve these on their own .
In Seven Explaining parts this provides answers to key questions on the IIBE as an initial background briefing:
Siemens has announced a “new growth era,” fuelled by its One Tech ambition, disciplined capital allocation, and a sharpened portfolio. The message is “confidence with prudence” — a determination to grow, but within the lines of a proven industrial blueprint. Yet beneath this narrative lies a fundamental question:
To quote from the Press Release : “Siemens today (13th November 2025) presents its strategy for achieving the next stage of growth at the “Siemens ONE Tech – Strategy & Results” event.
“Siemens today is stronger than ever – with a record fiscal 2025. Our strategy works. We grow by combining the real and the digital worlds. With our ONE Tech Company program, we enter the next stage of growth and raise our mid-term ambition for revenue growth to 6 to 9 percent”, said Roland Busch, President and Chief Executive Officer of Siemens AG. “With a highly synergistic portfolio, we aim to double our digital business revenue, capitalize on growth regions and verticals, and scale our AI offerings with €1 billion investment over the next three years.” Siemens is raising its mid-term revenue growth ambition to a range of 6 to 9 percent, excluding Siemens Healthineers
As I was listening, I kept asking “are they leveraging and exploring ways to accelerate this further in additional ways of opportunity exploration?”
Is Siemens’ next wave of growth truly coming from the reuse of existing strategic levers — or does its real potential remain locked behind a management mindset, drawn from depth within the industres themselves, focused on technology enablement alone, and not necessarily from that external perspective to challenge and encourage them to shift , one that still favours central control over the additional ecosystem acceleration that might be worth reconsidering with some loosening up?
First, I have to acknowledge my admiration for Siemens
Siemens is an extraordinary enterprise with deep capabilities across Infrastructure, Mobility, and Digital Industries. It has unmatched breadth. It has an installed base that others envy. It has technology assets that genuinely connect the physical and digital worlds.
But it also suffers from a structural tension, that is not such a hidden secret: where a centrally orchestrated strategy trying to power divisions with radically different growth horizons, market dynamics, and ecosystem potentials gives this “creative tension”. That provides and generates potential but can also stifle differences that might offer a greater growth if constructued differently.
My thoughts here:
To move from industrial dominance to ecosystem leadership, Siemens must confront and resolve six strategic issues. Doing so would position it not simply as an engineering and technology giant, but as an orchestrator of next-generation, cross-industry value creation — the very space where the Integrated Intelligent Business Ecosystem (IIBE) becomes essential and clearly argued by me.
These suggestion or observations are strictly through my IIBE lens.
1. The Mindset Gap: From Portfolio Leverage to Shared Value Creation
Siemens’ current message — centred around portfolio strength, engineering excellence, and disciplined growth — reflects a given older century industrial mindset, not a 21st-century ecosystem one. Much as technology has become more central and Siemens future “bet”
Its “One Tech” ambition is internally coherent but externally limited. It frames Siemens as the anchor, the core, the provider of the enabling stack. That is not an ecosystem. They apply “platform thinknig” through their Xcelerator platform but struggle to turn this into a truly collaborative vehicle for growth, it remains simply one enabler or fascilitator
An ecosystem mindset requires:
Distributed advantage, not central dominance
Shared intelligence, not proprietary engineering first
Co-creation of value, not extraction from partners
Fluid roles, not defined ownership
Siemens’ communications still describe ecosystem engagement as ways to extend Siemens’ reach, leverage its portfolio, and amplify its digital services. This is linear value thinking — not systemic value creation.
This is where the IIBE lens exposes the gap. Ecosystems are not extensions of a portfolio; they are dynamic, co-evolving networks where intelligence emerges from relationships, not from control.
Unless Siemens shifts from “our portfolio at the centre” to “shared purpose and distributed value”, its ecosystem promise will remain undeveloped — and competitors more fluent in this logic will outpace it.
2. The Structural Constraint: A Centrally Driven Strategy in a Federated Organisation
Siemens’ biggest strength — its federated division structure — is also its biggest constraint. Each division has different growth dynamics, regulatory landscapes, partner networks, and maturity levels:
Infrastructure competes against Schneider Electric’s ecosystem-first positioning.
Digital Industries is still the core, but its growth curve is flattening, not steepening.
A centrally imposed “One Tech” strategy risks becoming a lowest-common-denominator framework. It stabilises the whole but accelerates none of the parts.
Ecosystems require differentiated autonomy:
Each division must be free to build its own ecosystem architecture, aligned with its markets.
Shared technology should enable — not constrain — ecosystem models built closest to customers.
Intelligence must flow across, not down through top-heavy structures.
The IIBE explicitly recognises this: future growth emerges from dynamic, nested ecosystems, not monolithic strategies. Siemens must loosen its centre — not dismantle it, but reframe it as an intelligent enabler, not an approval layer.
Can this be managed at a Management Supervisory board level. I belief so. The board moves to a Orchestrator role
3. The Market Reality: Infrastructure and Mobility Are the Ecosystem-Native Businesses, possibly constrained?
Two Siemens divisions are already deeply ecosystem-dependent:
Infrastructure
Competing against Schneider Electric, ABB, and Johnson Controls, value now emerges from:
Energy management platforms
Smart infrastructure services
Distributed grid orchestration
Whole-building digital twins
Regenerative, circular-energy ecosystems
Here, Schneider has taken the lead by positioning itself as an ecosystem orchestrator, while Siemens still positions itself as a technology integrator.
The difference is profound. It holds Siemens back
Mobility
Mobility operates in a world where no single actor can deliver anything alone:
Rolling stock
Rail infrastructure
Digital signalling
Urban mobility systems
New mobility orchestration platforms
Multi-modal city ecosystems
This is fertile territory for a next-generation ecosystem strategy, but Siemens continues to operate through programmatic partnerships, long sales cycles, and project-based integration.
Mobility could be Siemens’ breakout ecosystem engine — but only if it moves from selling systems to shaping mobility ecosystems.
4. The Growth Challenge: Digital Industries Cannot Be the Sole Accelerator
Digital Industries has been Siemens’ growth engine for a decade, it has driven the evolution and recognition of the value of connected technology but:
The automation market is maturing
Competitors (Rockwell, Emerson, Yokogawa) are catching up
New Chinese entrants are scaling rapidly
AI-native industrial startups are nibbling into high-value workflows
DI still matters hugely — but expecting it to drive the next 10 years of disproportionate growth is unrealistic. The options of M&A here are growing both incrementally to “plug portfolio gaps” but also to broaden the Digital Industries positioning
This is where ecosystems transform the trajectory:
DI must become the intelligent backbone of other division ecosystems
It should not simply “sell more software” but shape shared intelligence, data flows, governance models, and interoperability frameworks
It must power Infrastructure and Mobility, not just be one of three divisions
It is in the primium position of being the industry “super” Orchestrator
The promise of “connecting manufacturing” need collaboration and stronger alliances
This is aligned with the IIBE’s five dynamic lenses, especially mapping, intelligence building, and technology enablement.
5. The Strategic Missing Piece: A True Ecosystem Operating Model
Siemens talks partnerships. It talks networks. It talks collaboration. It is catching up here. It needs to accelerate its whole CRM momentum in cross-synegistic ways.
But it does not yet have an ecosystem operating model — the set of governance, data policies, roles, value-sharing mechanisms, and decision flows required for ecosystems to function so it can flow, form and function that give a more dynmaic operating logic, a structural architcture and providing the integrative intelligence where the human-AI orchestration gives synchrony .
The IIBE highlights that ecosystem success requires:
Mapping & diagnostics — understanding the dynamic ecosystem landscapes
Connectivity & alignment — building shared interfaces, data layers, and governance
Decision flow — enabling distributed choices, trust, and coherence
Learning & intelligence building — accelerating shared insights
Technology enablement — creating the digital backbone
Siemens today only strongly activates the fifth. The other four remain underdeveloped across the group.
Without an operating model, Siemens’ ecosystem narratives are conceptually attractive but practically limited.
6. The Growth Mindset Siemens Needs: From Control Logic to Emergence Logic
The final issue is the type of growth Siemens is building toward. We live in a very different, often conflicting and complex world. All of us are struggling on how to become more adaptive, more dynamic in how we see things, adapt and react. I feel Siemens is working hard on that
Siemens’ current orientation uses:
Portfolio leverage
Capital deployment discipline
Incremental digital expansion
Safe M&A adjacencies
Predictable long-cycle customer relationships
This is solid. It is prudent. But it is not exponential. Can it be? What can givea very different perspective?
The companies shaping the next industrial era — Schneider, NVIDIA, AWS, Bosch Mobility, Tesla, Enel, Hitachi Rail, Siemens Healthineers (ironically its own former sibling with a growing and different mindset due ot its needs) — operate with an emergence mindset:
Shared data → Shared advantage
Distributed intelligence → Better decision-making
Partner co-creation → Faster innovation cycles
Platform ecosystems → Pull, not push growth
System-level design → Value across categories
This is precisely what the IIBE was built to operationalise. The IIBE prehaps gives Siemens the missing mechanism for moving from:
Management logic → Ecosystem logic
Control → Coordination
Centralised design → Distributed co-evolution
Predictive planning → Dynamic sensing and response
This is in my opinion the mindset Siemens must adopt if its “new growth era” is to be more than a continuation of its old growth formula.
Conclusion: Siemens Has the Potential — But Must Choose the Mindset of tomorrow
Siemens is at a strategic moment. It has announced the spinning out of Siemens Healthineers to release capital appropriate to the organization’s belief of where its growth potential is. The three divisions left are all in need of a loosening up for individual persuit but in an overaching orchestrated way
Siemens AG offers incredible potentia
It has the technology.
It has the market reach.
It has the portfolio breadth.
It has the credibility and trust.
It has theproven portfolio of products that stand as best in class
What it lacks — and what it urgently needs — is:
A genuine ecosystem mindset
A division-specific ecosystem architecture
A dynamic operating model (the IIBE provides this)
A more distributed approach to innovation and growth
A shift from portfolio leverage to shared value creation
So in listening yesterday and reflecting on this I put on my IIBE lens and offer this. If Siemens addresses these six issues, it will not only unlock new growth — it will redefine what industrial value creation looks like in the next decade.
If it does not, it risks staying powerful but increasingly linear in a world that is becoming exponentially interconnected.
The choice lies in whether Siemens is willing to evolve its management logic — and embrace the ecosystem logic that will define its true future potential.
So what if your business wasn’t the unit of growth any more — but the ecosystem you orchestrate or participate in becomes that?
I’m excited to share the IIBE – Integrated Interconnected Business Ecosystem – Blueprint, a framework built for exactly that shift. In a world where no single organization can respond fast enough, innovate broadly enough or scale deeply enough — the competitive edge is no longer just the enterprise, it’s the ecosystem.
Why now? Markets are moving faster than internal structures can absorb. AI is accelerating every business-model transformation. Sectors like sustainability, mobility, finance, healthcare — all demand collaboration at scale.
The IIBE Blueprint brings a step-change: it positions ecosystem orchestration as the strategic discipline of the 2020s.
It’s practitioner-driven. It combines structure, diagnostics, tools and pathways. AI is embedded, not optional. It’s built as a living system, evolving as partners, platforms and data expand.
Building Ecosystem Business Models for Mid-Sized Firms are so often under-looked in much of the literature we are referred too. We get caught in the bigger players, often provided by the large consultant companies, for our references- such as Alibaba, Salesforce, Amazon, Apple, Siemens, etc,.
How can Mid-sized Business Organizations set about to build out an Ecosystem Business Model using third party providers for platforms, communication technology, data analysis and use of Gen AI?
Are these as expensive as initially feared, can they work as effectively as those provided for the bigger players offering Ecosystem solutions? You need to build out a projection of possible budgets for costs in the first year and then annual ongoing ones. Ecosystem building often runs into sometimes hundred of millions of dollars but taking a really small step I (really) hesitate here, but $2.0m to $3.0m for the first year to eighteen months provides you your dedicated Ecosystem, and yearly $1m, including team costs BUT it so depends. It is where you take this, in recognizing its value, diversity to your business and worth, determines where you take this out.
So please take these numbers as only a starters point to get your levels of interest up or otherwise I recommend you don’t bother to read the rest of the post! Scaling, then the numbers rise fast but so can the accelerated returns!
This is only a brief guidance to get you to relate and see if the “ecosystem juices” are flowing. It is not comprehensive but it does go into a starting point of a Mid-sized firms starting point to Business Ecosystems. Even if I hear some readers mutter these numbers are crazily low you have a initial framework to build up into a project
I want to here address a number of questions any organization contemplating this building a ecosystem would need to go through. There are a good few more but lets limit this to a level where they can be absorbed and then I suggest to go further then come and ask me.
The Yin and Yang of Business- opportunity and risk. Image Adobe
Are we seeing increasing complexity within the business world? The search for growth is having real impact from changing political realities, regulatory and market conditions. We are in a fractured and polarized world at present and we all have to adapt and change how we go about our business. There is more uncertainty and you judge this as either risk or opportunity. There is a strategic imperative to “open up” to alternatives to how you undertake business or accelerate it.
For me risk or opportunity are the same side of the coin, you can’t gain one without a level of the other playing its part. A business “yin and yang”, the opposite but interconnected and often complementary forces to drive our business forward by applying business ecosystem thinking and design opens up new competitive forces to build into your strategic thinking.
Is the level of “fear” seemingly rising and are our business organizations equipped or not, to draw upon the many alternatives that technology, Gen AI, platforms, networks, collaboration and co-creation opportunities that are offered to manage and rethink new opportunity and risk?
Building the Ecosystem Business model is a paradigm shift
Building Business Ecosystems can be complex to build, let alone explain. I have been working on an evolving Ecosystem Business Model for some time.
So many people are unable to explain Business Ecosystems, especially to others and it holds its evolution back. Let me explain some of my thinking here
I visualized a starting point nearly all should be familiar with, of the Business Model Canvas, by Alexander Osterwalder, drawn from his PhD thesis, supervised by Yves Pigneur (2004), called a business model ontology.
This BMC become a phenomena to enable us to easily describe what building blocks need to be considered for building a business model. As a visual chart it enabled us all to build a picture. It allowed us to describe, design, challenge, invent, explain and eventually recognize where to pivot your business model.
That business model canvas tends to stay rooted (or designed) in the single entity in its intention and as Business Ecosystems involve multiple and diverse stakeholders it helps but, in my opinion, does not reflect the design needed for these Ecosystem models.
In my view “In today’s interconnected world, businesses are increasingly operating within complex ecosystems. Traditional business models often fail to capture the dynamics and interdependence of these ecosystems, leading to missed opportunities of significant competitive advantage and exposure to increased risks that others are recognizing changes and equally on the hunt for new Business Models”
We need to build an Ecosystem Business Model story
This week I really have been focusing on Partner Ecosystems Firstly comparing the differences between Partner Ecosystems with Alliances & Partnerships, evaluating my foundations and planning out my future approaches to these areas of Ecosystems. Then as part of my recent researching into the broader subject of Business Ecosystems I have been making different interconnections and tracking back to my posts specifically focused on Partner Ecosystems to make better connections. Yesterday I did a release of a collaborative “flyer” on “Unlocking Value Through Partner Systems“
So it has been a well-focused time but I thought I should complete one more “backward glance” before I move forward. So I asked ChatGPT to help me, in evaluating my Partner Ecosystem posts so far, offering a summary and a useful prompter to quickly refer too.
Looking back, so I am better positioned in moving forward was my aim
I brought together this collection of past posts which needed compiling in key insights I have written on the importance and value of Partner Ecosystems. This serves for me as a foundation for a handy consolidated of points for building and maximizing partner ecosystems. It also gives me the chance to spot gaps and structure the “improved” way forward..
