Why Most Operating Models Fail
A concise comparison of Predictive and Adaptive Operating Models, explaining why traditional structures fail in dynamic markets and how organisations …
An operating model designed for environments characterized by uncertainty, complexity, and continuous change. Built around learning, fast feedback, and decentralized decision-making rather than prediction and control. Organizations succeed through continuous learning, rapid adaptation, and proximity to customers.

An Adaptive Operating Model defines how an organisation is structured to deliver value in conditions of uncertainty, complexity, and continuous change. It is a way of working designed around learning, fast feedback, and decentralised decision-making rather than prediction and control.
The core premise is simple: when outcomes cannot be reliably known in advance, the organisation must be designed to sense, respond, and adapt as work progresses.
An adaptive operating model is not a set of practices or a delivery framework. It is the structural foundation that makes adaptation possible at scale.
An adaptive operating model is defined by a small number of structural properties:
Work is organised around outcomes and value, not projects, phases, or task completion. Success is measured by realised impact, not adherence to a predefined plan.
Decisions are intentionally pushed as close as possible to where information emerges. Clear boundaries exist, but authority is not centralised. This reduces delay and increases responsiveness.
Learning is not incidental. Feedback from customers, users, systems, and markets is deliberately built into the operating model, enabling evidence-based adjustment of direction.
Teams, roles, and accountabilities are stable over time. What changes is the work, the priorities, and the direction, not the organisational shape itself.
Governance focuses on enabling progress and managing risk through transparency and accountability, not on enforcing compliance with predefined plans.
The adaptive operating model provides the foundational structure for product-centric organisations.
Both the Product Operating Model and the Agile Product Operating Model are specialisations that sit within an adaptive operating model. They apply the same underlying principles of learning, decentralisation, and outcome focus, while tailoring structure and decision-making to product delivery.
The adaptive operating model answers the organisational question:
How do we structure ourselves so learning and adaptation are normal, safe, and effective?
Product-focused models then answer:
How do we apply that structure to sustained product value delivery?
To avoid common misuse, an adaptive operating model is not:
It replaces the underlying assumptions about how work is coordinated, how decisions are made, and how value is discovered.
Organisations adopt an adaptive operating model when:
In these conditions, adaptability is not a competitive advantage, it is a prerequisite for survival.
An adaptive operating model is the organisational expression of empiricism. It creates the conditions where learning drives progress, accountability replaces control, and structure enables change rather than resisting it.
It is the operating model required for modern product-centred, knowledge-based work in complex environments.
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We partner with businesses across diverse industries, including finance, insurance, healthcare, pharmaceuticals, technology, engineering, transportation, hospitality, entertainment, legal, government, and military sectors.

Cognizant Microsoft Business Group (MBG)

Xceptor - Process and Data Automation

Philips
NIT A/S

ALS Life Sciences

MacDonald Humfrey (Automation) Ltd.

Sage

Slicedbread

Ericson

Big Data for Humans

New Signature

Brandes Investment Partners L.P.

Teleplan

Kongsberg Maritime

Akaditi

Alignment Healthcare

Bistech

Healthgrades

New Hampshire Supreme Court

Washington Department of Enterprise Services

Nottingham County Council

Royal Air Force

Department of Work and Pensions (UK)

Ghana Police Service

Xceptor - Process and Data Automation

Lockheed Martin

Jack Links

Freadom

Schlumberger

Deliotte