Building the Capabilities for Ecosystem Operational Design: We Sense → Interpret → Connect → Decide → Adapt → Learn
Category Archives: Intelligent Business Ecosystems (IIBE)
Discover how Intelligent Business Ecosystems integrate dynamic intelligence, orchestration, and collaborative structures to create adaptive, high-performance organizations. The IIBE model explains how businesses thrive in complex, interconnected markets.
Starting here in any Diagnostic for Building Ecosystems
Executive Briefing: Most business ecosystems hit a growth ceiling because they remain stuck at the problem-recognition level. Enterprise leaders recognize the system is resisting them, yet they attempt to solve boundary friction using traditional partner management tools.
Moving beyond platform activity requires an explicit Ecosystem Architecture built on three structural requirements: an explicit blueprint, a shared ecosystem grammar, and distributed network intelligence.
Executive Briefing: When encountering strategic bottlenecks, corporate leadership instinctively asks: “How do we scale this?” But applying 20th-century industrial scale logic to multi-actor ecosystems creates systemic failure.
Scale logic was designed for depreciating physical assets and linear processes. Ecosystems operate on compounding network assets that appreciate through use. Attempting to do “more of the same, faster” under legacy scale logic actively undermines ecosystem performance.
Recognizing the limitations within one organization
Executive Briefing: Industrial giants—from Siemens and Schneider Electric to Novartis, Roche, and Maersk—continue to pour billions into digital platforms, developer portals, and API marketplaces. Yet, despite massive capital expenditure, compounding network value stalls.
This stagnation occurs because platforms taught leadership the wrong strategic logic. Platforms enforce centralized gatekeeping, ownership of flows, and aggressive value capture. True ecosystems require decentralized alignment, dynamic orchestration, and reciprocal value creation.
Shifting the thinking in Structured Way, less experiment, more Architecture
The Structural Blueprint for Future Value
Executive Briefing: Enterprise value creation has crossed a definitive boundary. Critical strategic challenges—decarbonization, connected health, supply chain resilience, and cross-domain AI—cannot be solved inside the walls of a single firm.
Organizations do not need more ad-hoc partnerships or platform portals; they require an explicit Ecosystem Architecture to align multi-actor capabilities, data flows, and value-sharing rules.
Dual-Force Syntheses: Fusing the power of AI within the IIBE Model
Executive Briefing: Deploying AI in functional silos yields localized efficiency, not strategic advantage. Think about that.
The Dual-Force Model couples AI’s dynamic, predictive intelligence engine directly with the structural architecture of Intelligent Interconnected Business Ecosystems (IIBE). This fusion shifts AI from an operational automation tool into an enterprise market-sensing engine.
A structured X-Ray from the IIBE to Evaluate Ecosystem Maturity
Evaluating Ecosystem Maturity: The Nine-Dimension Diagnostic
Executive Briefing: Evaluating whether an organization possesses a true ecosystem operating model—rather than an expanded partner program—requires testing against real-world evidence across 9 core architectural dimensions.
Comparative Analysis: A cross-sector diagnostic test comparing industrial incumbents (Siemens AG, Schneider Electric) against digital ecosystem leaders (Salesforce, Alibaba) reveals a fundamental divide: traditional industrial leaders govern ecosystems via control and channel management, whereas digital platforms generate self-reinforcing growth via data intelligence flows and emergent partner value.
I have been undertaking a fairly extensive review of some of the largest Industrial Organisations and their current approaches to Ecosystems. Each is unique, partly based on their legacy positioning but partly on how they have chosen to evolve out their ecosystem approaches into the market place.
Taking and evaluating the following : Johnson Controls (JCI), Rockwell Automation, Emerson, Honeywell, Mitsubishi Electric, Knapp AG, Thyssenkrupp AG, Hitachi Energy and Baker Hughes it is amazing how each is approaching their Ecosystem management differently, how they are at different levels of maturity but also how ALL of THEM are failing to address Ecosystems in a comprehensive, systematic and structured way. Legacy is partly “at fault” but the biggest failure is applying management designs suited to the single organization not to a growing, dynamic network of partners. Until they open up to this shared collaboration the opportunities for a different level of growth stay restricted.
Where these organizations have taken Ecosystem designs is that they have tried to innovate internally only, their legacy corporate structures, internal silos and platform-first mindsets as the wrong Ecosystem approach, these are choking out weak signals. To overcome this they need to map their blind spots, surface unexploited partner synergies and deliver validated “investable options” back to their executive leadership.
If You’re a Healthcare Diagnostics Company, Here’s What the IIBE Diagnostic Actually Means for You
You’re in a tough position:
You have strong diagnostic technology.
You face entrenched incumbents with distribution power.
You’re being shut out of established channels.
Building your own ecosystem feels expensive and slow.
Joining someone else’s ecosystem feels risky or unclear.
You’re unsure where the leverage actually is.
This is exactly the kind of situation the *IIBE Diagnostic is built for.
Let me show you how as someone who feels the pressure of entrenched competitors, rising costs, and the uncertainty of whether to build, join, or partner into an ecosystem. I’ll answer in a way that is clear, strategic, and grounded in the IIBE architecture
*IIBE stands for Intelligent Integrated Business Ecosystem – the architectural approach to Ecosystems.
1. The Diagnostic Gives You a Structural X‑Ray of Your Strategic Position
Vas Narasimhan (the CEO, Novartis) has named it directly: becoming the number one partner in the technology ecosystem is one of Novartis’s four digital strategic pillars. That is not aspirational language dropped into an investor deck. It is explicit ecosystem intent at CEO level, and it is rare in global pharma.
Novartis has acted on it. Two remarkable architectures now exist inside the company, each sophisticated enough to be a case study on its own.
I took a look at Novatis and its intent though a different approach here, exploring the results from the Intelligent Integrated Business Ecosystem (IIBE) and raising some fairly important Ecosystem building questions on Novartis, based on my analysis as part of the Healthcare research undertaken
So these two remarkable architectures seem to have so much value left on the table. There seems much to do on taking these to a very different level
Starting here in any Diagnostic for Building Ecosystems
Within my work on Ecosystems a significant amount of this is through Diagnostics that leads to Discovery.
Over the past month or so I have been focusing on the Healthcare section and through a number of my diagnostic tools assessed GE Healthcare, Siemens Healthineers, Royal Philips, Novartis, Bayer and Roche.
Why Healthcare? If ever the potential for applying Ecosystem thinking and design it would be in Healthcare. Yet there is so much fragmentation, current relationship constraints and design obstacles to. resolve.
I have posted observations on Siemens Healthineers (post here) and Royal Philips recently. Specifically for Royal Philips I did a very extensive Business Case outline over four posts as I took a broader range of my diagnostic tools to apply to them
Here I am focusing on Bayer and Roche, specially through my Nine-dimensional diagnostic. They aim to offer structural truths. They exist whether the organization acknowledges them. The diagnostic does not create them, it makes them visible. The ones outlined here are not part of the total evaluation undertaken, they are an initial snapshot that needs some more detailed input to gain a more definitive result.
The importance within the IIBE is the sequence, handoff, linkage and movements. In this case the nine components shown are here in these results more “stand alone”, indicative of opportunities for organizations to focus and evaluate each component, to recognise the needs to improve or spot the constraints.
The results for Bayer and Roche offered surprising and different results in the stages they are at in Ecosystem design progress
