Perspectives
Thinking on collective sensemaking and deliberative intelligence.
Articles and arguments from Hunome. Organised by what you are trying to understand — not by when something was published.
The Category
What collective sensemaking and deliberative intelligence are. Start here if the category is new to you.
What is deliberative intelligence — and why it is not what IBM means by it
The term is being claimed by data automation. Here is what it actually means, and why the distinction matters for every organisation trying to make decisions that hold.
What is collective sensemaking — and why it is different from collaboration
Collaboration produces outputs. Collective sensemaking produces the understanding that makes outputs worth having. The difference is structural, not stylistic.
Collective intelligence collects. Collective sensemaking builds. Why the distinction matters.
Innovation platforms collect ideas. Prediction markets aggregate judgments. Collective intelligence is real and valuable. It is not the same as collective sensemaking.
Epistemic diversity: the organisational capability most tools are designed to eliminate
Epistemic diversity is the most undervalued and most systematically suppressed resource in organisational decision-making.
Assisted serendipity — the conditions for unexpected connection
Serendipity sounds like accident. On a well-designed deliberative platform, it is structural — the predictable outcome of bringing epistemically diverse perspectives into genuine contact with each other.
What a platform has to do to earn the word deliberation
Deliberation is not a synonym for discussion, consultation, or collaborative brainstorming. It is something more specific — and the difference is architecturally precise.
The Unheard Room: assisted serendipity and the intelligence of varied minds
Every deliberation has one. The Unheard Room is the set of perspectives that are structurally absent — not because they were not invited, but because the conditions did not create space for them.
Can AI deliberate? Why the question matters more than the answer
Researchers are now asking whether large language models can replicate deliberation. The answer is instructive. But the more important question is what deliberation is actually for — and why that cannot be automated.
Most organisations are working on yesterday's knowledge — and do not know it
The knowledge lifecycle runs from anecdotal to legacy. Most AI and knowledge management tools operate near the end. The real competitive terrain is at the beginning — where understanding is still forming and the right question is not yet clear.
The Evidence
What the category produces that nothing else can. Named cases and demonstrated outcomes.
What 36 people from across the world understood together about demographic change — that no research brief could have specified
A global deliberation. Seven emergent clusters. None pre-specified. This is what collective sensemaking produces that no other method can.
What Nokia taught us about the thinking that exists before the categories do
The most consequential strategic insights do not come from analytical synthesis. They come from practices that operate in the space before the categories are set.
How a think tank found the connections between EU energy policy and nature loss that disciplinary isolation had missed
When you work across disciplines in the same platform rather than consulting them sequentially, you find things that sequential consultation structurally cannot produce.
What Boeing and Challenger teach us about thinking in silos — and why it is now an organisational emergency
When specialists cannot see across disciplinary boundaries, complex systems develop invisible fault lines. Two of the most consequential failures of the 20th century have the same explanation.
The innovation that nobody wanted — what Segway and Google Glass teach us about sensemaking
The most expensive innovation failures share a structural cause. The organisations that produced them were not missing data. They were missing context. And context cannot be automated.
The Argument
Why existing tools fail and what changes when you replace them. For readers who feel the problem.
What AI cannot access — and why it matters for your most important decisions
AI is the most sophisticated tool ever built for processing what humans have already said. That is its strength. It is also its structural limit.
Surveys, workshops, and AI: why the tools we use to think together are designed to destroy understanding
These tools work — for the jobs they were built to do. None of those jobs is building shared understanding.
The problem with knowledge that expires when the meeting ends
Every organisation has invested in collective thinking. Most of that investment evaporates within weeks. Here is why, and what living understanding looks like instead.
Deliberative intelligence as democratic infrastructure — why Europe needs collective sensemaking at scale
The failure of collective sensemaking is not only an organisational problem. It is a democratic one. And the infrastructure to address it exists.
Why strategy fails at execution — and what shared understanding actually means
The initiatives that stall do so for a predictable reason. The people expected to execute them had no access to the reasoning behind them.
Hunome and your AI investment — the layer that makes the difference
AI is the most sophisticated tool ever built for processing existing knowledge. Collective sensemaking is how you produce the knowledge that AI has not yet seen.
Why the platforms designed to connect us are making collective understanding harder
Social platforms were built to maximise engagement. Engagement and understanding are not the same thing — and optimising for one destroys the conditions for the other.
Culture doesn't block collective sensemaking. It determines where it starts.
Every organisation has a theory of itself. Culture determines whether that theory gets examined — and what changes when it does.
We don't have time for this — and what that sentence is really saying
The people who say they don't have time for collective sensemaking are not wrong. They don't have time. That is the point.
AI operates from what humans have already expressed — and where that leaves your most important questions
AI is the most powerful tool ever built for working within the space of what has been documented. That is its strength. It is also the precise shape of its limit.
The problem with how organisations think together is getting worse — not better with AI
A convergence of recent research reveals a structural crisis in collective intelligence that no current tool adequately addresses.
The deadly pull to the status quo: why certainty tools produce mediocrity
Benchmarking, statistical relevance, and proven facts are not neutral methods. They are a systematic filter for the kind of thinking that creates category leadership.
Generative AI has made your people faster. It has not made your organisation smarter.
What your AI investment will never solve — and what deliberative intelligence actually is.
When machines do the thinking, humans must do more of the judging
A new analysis of AI and organisational decision-making lands on exactly what Hunome is built to provide.
The invisible groupthink — how AI is creating the conformity no safeguard can see
When your team consults the same AI, they produce convergent thinking without the friction that usually triggers groupthink alarms. The conformity is real. The safeguards are blind to it.
The deliberative divide — why some organisations will outthink the rest
An emerging gap is opening between organisations that invest in deliberative capacity and those that do not. The gap compounds. The organisations on the wrong side of it rarely know which side they are on.
Emergence is not retrieval — what deliberation produces that AI cannot
AI retrieves, recombines, and synthesises from what already exists. Deliberation creates thinking that did not previously exist. The distinction is not philosophical. It determines whether your decisions are built on understanding or its simulation.
Your AI investment is working. Your decisions aren't getting better. Here is why.
Boards are allocating at scale to AI agents, RAG pipelines, and proprietary data strategies. Every one of those investments rests on an assumption buried in the pitch deck. The assumption is wrong. And the gap it hides is where most of the value — and the risk — actually lives.
Get your deliberative house in order — and the stranger the better
Before the platform, before the SparkMap, before any of it — there is a muscle. Most organisations have let it atrophy. Here is how to find it again, and why the oddest people in your orbit are your most important asset.
People are, frankly, a lot — and this is what that costs you
There is a fantasy at the centre of most digital transformation programmes. It is rarely stated directly. But if you have ever sat in enough boardrooms, you have heard it between the lines. It goes roughly: if only we could run this without so many people in the way.