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Field Notes

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Zero Gravity and IPM — the operating model that finally converts data into movement

Most organisations do not suffer from a lack of data. They suffer from an inability to convert what they know into what they do. Information & Process Management is the practical vehicle that makes Zero Gravity operational — and turns AI ambition into measurable return.

Written by Bart Van Mulders

Most organisations do not suffer from a lack of data.

They have dashboards. They have reports. They have platforms. They have governance structures. They have strategies, roadmaps, steering committees and increasingly impressive AI ambitions.

And still, many of them move too slowly.

Not because people are lazy. Not because technology is useless. Not because leadership does not care.

They move slowly because value gets stuck.

It gets stuck between information and meaning. Between insight and decision. Between decision and ownership. Between ownership and action. Between action and measurable result.

This is the space where Zero Gravity begins.

Zero Gravity is not a plea for less structure. It is not a romantic idea that organisations should become weightless, fluid and free of discipline. That would be naïve. Large organisations need structure. Public organisations need accountability. Regulated environments need control. Information needs protection. Processes need clarity. Decisions need traceability.

The question is not whether an organisation needs structure.

The question is whether that structure helps the organisation move — or keeps it suspended in permanent preparation.

That is why Information & Process Management matters.

IPM is the practical vehicle through which Zero Gravity becomes operational.

Zero Gravity is the philosophy: reduce the unnecessary organisational gravity between insight, decision and action. IPM is the method: connect information, processes, roles, governance and decisions into one coherent operating model.

Together, they address one of the most expensive hidden problems in modern organisations: the inability to convert what the organisation knows into what the organisation does.

The problem is not the dashboard

For years, organisations have treated dashboards as the visible proof of becoming data-driven.

A dashboard is created. The data is visualised. The meeting is scheduled. The numbers are reviewed. The issue is discussed.

And then, too often, nothing fundamentally changes.

The same issue appears again the next month. The same discussion returns. The same uncertainty remains. The same ownership gap survives. The same manual workaround continues quietly in the background.

The dashboard did its job. It showed something.

But showing is not the same as changing.

A dashboard does not create value by existing. A report does not create value by being shared. An insight does not create value by being understood.

Value starts when information changes a decision, when a decision triggers action, and when that action produces a measurable result.

This is where many organisations lose the return on data, analytics and AI. Not in the technology itself, but in the conversion chain after the technology has done its part.

Zero Gravity looks at that chain.

Data becomes information. Information requires context. Context creates insight. Insight should improve a decision. A decision should trigger action. Action should create value. Value should generate learning. Learning may eventually enable automation.

Most organisations manage fragments of this chain. Few manage the full conversion from data to movement.

That is the gap IPM must close.

What IPM really means

Information & Process Management should not be understood as another administrative layer.

It is not a new department designed to produce more templates. It is not a bureaucratic exercise in naming document owners. It is not a process-mapping ritual that ends in a SharePoint folder. It is not governance theatre with a new acronym.

At its best, IPM answers very practical questions:

  • What information is critical?
  • Who owns it?
  • Which processes depend on it?
  • Which decisions rely on it?
  • Which risks are connected to it?
  • Which roles are accountable?
  • Which actions should follow when the information changes?
  • Which parts of the process are ready for automation?
  • Which parts first need clarity, control or ownership?

These questions sound simple. They are not.

Because in many organisations, information lives in one place, processes in another, decisions in another, risks in another, and governance somewhere above all of it — often too far away from daily reality to create real movement.

IPM brings those dimensions back together. It connects information management, process management, data governance, security, privacy, business continuity, cloud readiness and AI readiness into one operational logic.

Not to make the organisation heavier. To remove the weight created by fragmentation.

Organisational gravity is invisible until you measure it

The most dangerous friction in organisations is often invisible. Everyone feels it, but few people measure it.

People feel it when the same decision returns to the agenda three times. When nobody knows who owns a data definition. When a process is "known by everyone" but documented by nobody. When a risk is identified but not assigned. When a dashboard shows a problem, but no action owner exists. When AI is expected to solve a problem that the organisation itself has not yet clearly described.

This is organisational gravity.

It is the accumulated weight of unclear ownership, fragmented information, weak process visibility, slow decision rights, duplicated reporting, manual handovers and governance structures that delay more than they clarify.

Zero Gravity makes that gravity visible. One of the most useful ways to do that is through Decision-to-Action Latency.

Decision-to-Action Latency is the delay between the moment an organisation knows enough to move and the moment it actually moves.

This delay is rarely measured. Organisations measure project timelines, budgets, incidents, system performance, service levels. But they rarely measure how long value remains trapped after the insight is already available.

That is strange, because this is exactly where a lot of return disappears.

A risk that is known but not assigned creates exposure. A process bottleneck that is visible but not resolved creates cost. A data quality issue that is discussed but not owned creates repeated work. An AI opportunity that is identified but not made operational creates frustration. A strategic priority that is approved but not translated into action creates organisational theatre.

The organisation knows enough. But it does not move.

That is the gap Zero Gravity wants to reduce. And IPM provides the mechanism to reduce it.

IPM as the bridge to responsible AI

AI has made this discussion urgent.

Almost every organisation is now exploring AI, automation, copilots, agents or intelligent workflows. The temptation is understandable. AI promises speed, scale and productivity. It suggests that organisations can finally do more with less.

But AI does not remove the need for clarity. It increases it.

  • If a process is unclear, AI may accelerate confusion.
  • If information ownership is unclear, AI may amplify mistrust.
  • If data definitions conflict, AI may produce confident inconsistency.
  • If privacy and security are not embedded, AI may create unacceptable risk.
  • If decision rights are vague, AI will not know where human judgment must remain.
  • If governance is disconnected from operations, AI initiatives will either stall or become unsafe.

AI readiness is not only a technical question. It is an operating model question.

A process is not ready for automation because a tool exists. A domain is not ready for AI because a vendor demo looked impressive. A team is not ready because enthusiasm is high.

Readiness depends on the quality of the underlying flow: Is the process clear enough? Is the information trusted enough? Is ownership explicit enough? Are risks understood? Are business rules visible? Are privacy and security conditions known? Is human oversight designed? Is the expected value measurable? Is the feedback loop in place?

This is the role of Automation Readiness Level — a practical way to assess whether a process, domain or decision flow is mature enough for safe and useful automation.

It prevents organisations from automating chaos.

And this is exactly where IPM becomes strategic. IPM creates the conditions for responsible AI by clarifying information, processes, ownership, risk and decision logic before automation is scaled.

In that sense, IPM is not old-fashioned governance. It is the runway for AI that actually works.

ROI is not enough

When organisations talk about data and AI investments, they often focus on ROI: Return on Investment.

That is necessary. But it is not sufficient.

ROI asks whether the investment pays off. For data, analytics and AI, this means asking whether the organisation gains measurable value from its platforms, reports, models, governance efforts and automation initiatives. That value may appear as time saved, risk reduced, quality improved, cost avoided, capacity freed or speed increased.

But there is another form of return that is often ignored: Decision Value.

Decision Value asks a different question: what value is created when decisions become faster, clearer, better owned and more consistently translated into action?

This matters because organisations do not only lose value through inefficient work. They also lose value through slow decisions, unclear accountability and repeated discussions that never become movement.

A better decision has return. A faster decision has return. A decision with clear ownership has return. A decision that actually changes behaviour has return.

IPM can make this visible. By connecting information to process, process to ownership, ownership to decision, and decision to action, IPM creates the conditions to improve Decision Value.

This is where Zero Gravity becomes more than a metaphor. It becomes a measurement discipline.

ROI tells us whether the investment pays off. ROD tells us whether the organisation moves better because of it.

Both are needed.

Public organisations need this urgently

The Zero Gravity and IPM connection is especially relevant in public sector environments.

Public organisations face a difficult combination of pressures. They are expected to become more efficient, but cannot simply cut essential services. To become more digital, but remain inclusive and accountable. To use data and AI, but respect privacy, security and public trust. They face regulatory pressure, cyber pressure, budget pressure and capacity pressure at the same time.

In that context, the answer cannot be another abstract transformation programme.

Public organisations do not need more theatre. They need a practical way to know: what information matters; which processes are critical; who owns what; which risks must be managed; which decisions must become faster; which initiatives deserve priority; which AI cases are realistic; which parts of the organisation need stronger governance before automation.

IPM is the practical answer to that need.

It creates a shared operating language between business, IT, data, security, privacy, architecture, records management, process management and leadership. It allows CDO, DPO, CISO and business owners to work from the same map instead of defending separate territories. It helps organisations move from scattered initiatives to coherent movement.

Not by centralising everything. Not by controlling everything. Not by slowing everything down. But by making ownership, information flow, decision rights and risk visible enough to act.

That is Zero Gravity in a public sector context.

Governance should accelerate decisions

Governance has a reputation problem.

In many organisations, governance is experienced as delay. A committee. A gate. An approval. A document. A ritual.

But governance should not exist to slow movement down. Good governance should make movement safer, clearer and faster.

It should answer: Who can decide? On what basis? With which information? Within which boundaries? With which risks understood? With which accountability after the decision?

When governance answers these questions well, uncertainty goes down. When uncertainty goes down, decisions become easier. When decisions become easier, action becomes faster. When action becomes faster, value becomes measurable.

This is the kind of governance IPM should create. Not governance as theatre. Governance as acceleration with accountability.

That distinction is critical. Because without governance, organisations create risk. But with bad governance, they create paralysis.

Zero Gravity does not argue against governance. It argues against weight without movement.

The operating model is where value becomes repeatable

A single improvement is useful. A repeatable improvement is valuable.

That is why Zero Gravity ultimately leads to the operating model. The operating model determines how an organisation turns intention into execution. It defines how work flows, how decisions are made, how ownership is assigned, how information is trusted, how risks are handled, how priorities are chosen and how value is measured.

Without an operating model, data and AI initiatives remain isolated. One team builds a dashboard. Another defines a process. Another discusses data ownership. Another explores AI. Another worries about security. Another manages privacy. Another reports risk.

Each team may be doing valuable work. But if the work does not connect, the organisation becomes heavier.

IPM is the discipline that connects these efforts. Zero Gravity is the ambition behind it: less unnecessary friction, more measurable movement. Together, they make value repeatable.

From investment to evidence

The next phase of data, analytics and AI will not be won by the organisations with the most dashboards or the loudest AI ambitions.

It will be won by the organisations that can prove how information changes decisions, how decisions change action, and how action creates measurable value.

That requires evidence. Not belief. Not hype. Not another roadmap full of optimistic arrows.

A baseline. A friction diagnosis. A targeted intervention. A measurement. A before-and-after comparison. A clear view of what improved and what still blocks movement.

This is the Zero Gravity proof logic. It turns return into something that can be discussed, measured, improved and defended. It gives leadership a clearer view of where data, analytics and AI investments are working — and where they are simply producing more organisational noise.

It also gives teams a fairer way to improve. Because the point is not to blame people for slow movement. The point is to reveal the friction that the organisation has allowed to become normal.

The conclusion: IPM is not administration. It is acceleration.

Information & Process Management is often underestimated because it sounds operational, administrative or technical. It is none of those things when done well.

  • IPM is strategic because information shapes decisions.
  • IPM is operational because processes shape action.
  • IPM is financial because friction destroys return.
  • IPM is regulatory because accountability requires traceability.
  • IPM is human because unclear systems exhaust good people.
  • IPM is technological because AI can only scale responsibly on top of clarity.

Zero Gravity gives IPM its larger purpose. Not documentation for documentation's sake. Not governance for governance's sake. Not process mapping for the archive. But measurable movement.

From information to decision. From decision to action. From action to value. From value to learning. From learning to responsible automation.

That is the real path from data investment to business movement.

And that is why Zero Gravity and IPM belong together.

The future does not belong to organisations that know more. It belongs to organisations that can turn what they know into what they do.

Key takeaways

  • 01Value gets stuck between information, decision, ownership and action — not in the technology.
  • 02IPM is not administration. It is the operating model that lets AI, governance and decisions actually convert.
  • 03Decision-to-Action Latency and Decision Value are the missing metrics behind Return on Data.

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Also in the Framework

Related terms

This idea is explored in practice through Reduce Gravity.