
If you’re a founder building a startup in 2025, you’re facing an environment where speed, adaptation and autonomy matter more than ever. The traditional organization models rigid boxes, long approval chains, top-down decision making can quickly become a drag. Enter the “octopus organization” model: an organizational metaphor and structure designed for agility and decentralised intelligence.
The phrase “octopus organization” draws on the biology of the octopus, an animal with a small central brain but the majority of its neurons dispersed into each arm. This structure allows each “arm” to sense, decide and act semi-independently, while still being part of a coherent whole.
The model was popularised and adopted for businesses by authors Jonathan Brill and Stephen Wunker in their book The Octopus Organization: A Guide to Thriving in a World of Continuous Transformation. The book reveals how organisations can move beyond rigid hierarchical structures to become living systems of adaptive teams.
The metaphor gained traction as the business world recognised that speed of sensing and adaptation matters more than scale of control. In a recent interview, Brill and Wunker describe how companies facing AI disruption must shift organisational anatomy to survive, and why the octopus offers a better blueprint.
So, when you hear “octopus organization,” what you’re really hearing is: decentralised intelligence, coherent identity, and rapid adaptation.
Most traditional organizations are mechanistic. Power, information, and decisions flow top-down. Structure follows functions: marketing here, product there, engineering over there. Optimisation happens inside silos, and coordination is handled by meetings, managers, and memos.
That model works when the environment is relatively stable, you’re optimising known processes, and efficiency matters more than speed of learning.
The octopus model flips those defaults. Instead of organising around functions, you organise around outcomes or customer problems. Each “arm” is a small, cross-functional group that owns a mission, a segment, a product, a geography, or a strategic bet, and has the authority to ship, run experiments, talk to customers, and adjust course without waiting for a steering committee.
Leadership shifts from “command and control” to “sense, frame, and enable.” The centre is responsible for clarity of purpose, shared metrics, culture, and the connectivity through: data platforms, talent systems, and interfacing between teams.
The octopus model became popularized as organizations shifted from being built for efficiency into a complex structure. Complexity theory and network-centric organization discussions argue that, in highly connected environments, distributed sensing and local adaptation beat rigid central planning.
Several forces make this especially relevant to startups:
AI and digital tools make decentralisation practical. You can give small teams access to the same data, infrastructure, and intelligence that used to sit in central departments. That enables “arms” that genuinely think and act, not just execute orders.
Customer behaviour is less predictable. Markets fragment quickly, niches emerge fast, and copying competitors is rarely enough. You need multiple sensors at the edge, not one big brain at HQ guessing what’s happening.
People who like to take initiative don’t want jobs where they must ask for permission every five minutes. They want space to think, create, and make decisions. The octopus model gives them that freedom, so it naturally attracts ambitious, self-driven talent, and it quietly pushes away those who only work well with strict instructions.
The octopus model gives startups and scale-ups several practical advantages.
You learn faster.
When teams that actually talk to customers can test ideas without waiting for approval, you speed up feedback loops. You discover what works sooner, shut down what doesn’t, and waste far less time.
You react quicker.
Because each team has room to act, they can adapt to different regions, customer groups, or product needs without waiting for a central decision. This matters a lot when your product behaves differently across markets.
You become more resilient.
If one team or initiative fails, it doesn’t take down the whole company. You can quietly kill one idea while others keep going instead of risking everything on a single bet.
You get more innovation where it actually happens.
New ideas usually come from the people closest to users. In a traditional org, middle management often blocks these ideas. In an octopus structure, frontline teams have permission to test, learn, and share results.
People care more.
When a team owns a full mission from start to finish, they behave like owners, not employees. You get better judgment, less politics, and fewer “that’s not my job” moments.
The octopus model isn’t effortless. Done poorly, it becomes messy instead of agile.
Teams can drift apart.
If you don’t have a clear purpose and a shared set of metrics, teams start optimising for themselves, not the company. This leads to inconsistent pricing, disjointed experiences, and a confused brand.
Decision-making can get chaotic.
If you don’t define who decides what, people either fight for control or freeze because they’re unsure. Clear decision rights are essential.
Work gets duplicated.
Teams may unknowingly rebuild the same tools, campaigns, or processes because no one is responsible for shared assets or ensuring reuse.
Leadership behaviour can derail everything.
Founders who are used to approving everything often struggle to step back. They swing between micromanaging and completely stepping away, which confuses teams and erodes trust.
The model demands the right people.
You need self-managing, curious, high-context people who can operate with autonomy. If your team is built mostly for execution under close supervision, you’ll need to level up skills or make new hires.
In short: the octopus model works, but it requires maturity in alignment, culture, and systems. It’s not something you can adopt lightly.
You don’t need to be a big organisation to benefit.
This model works best for companies where speed, iteration, and customer understanding matter deeply:
It’s harder for businesses that must maintain strict, centralised control, such as fintech, healthtech, or hardware manufacturing.
In those cases, a hybrid model works: autonomy in product and growth teams, tighter control in compliance or safety-critical areas.
For very early-stage teams (under 20 people), you’re already operating like an octopus naturally. But once you grow to around 20-30 people, structure starts forming whether you want it to or not, so it’s better to design it intentionally.
You don’t become an octopus by rearranging your org chart. You do it by changing how work gets done.
Start with purpose and boundaries.
Make your company’s mission, success metrics, and non-negotiables crystal clear. Autonomy without direction creates chaos.
Design “arms” based on outcomes.
Organise teams around customer journeys, product goals, or strategic bets. Each team needs to be cross-functional and responsible for the full cycle, insights, building, shipping, and learning.
Push decisions outward on purpose.
Define which decisions teams can make alone, which need consultation, and which must stay central. Put this in writing and adjust as you learn.
Enable teams with shared data and learning.
Give all teams access to the same data. Build simple ways to share experiments, insights, and mistakes so the whole company gets smarter, not just one team.
Shift leadership behaviour.
As a founder, your role becomes less about giving orders and more about giving clarity, asking better questions, and clearing blockers. If leadership doesn’t change, the structure won’t either.
Pilot before scaling.
Start with one or two teams. Fix what breaks. Update your guardrails. Then expand. Treat your organisation like a product, iterate your way into the right shape.
Founders often add structure to create control.The octopus model offers a different approach: add structure so you can learn and adapt faster.
You still need governance and alignment, but you get them by empowering small, connected teams that sense and respond to reality, not by centralising every decision.
If you’re feeling the pain of slow decisions, siloed teams, or endless alignment meetings, consider that a signal.It might be time to stop running your startup like a miniature corporation and start shaping it like a flexible, intelligent octopus.