AIGAI·Research that runs·Core·Innovation·Talent·Reality·Staying future fit·Stockholm 2026·AIGAI·Research that runs·Core·Innovation·Talent·Reality·Staying future fit·Stockholm 2026·
Research that runs · Beta · Stockholm 2026
How future fit is your company, really?
AIGAI measures how ready a company is for sustained growth across core business, innovation, and talent. The research is clear: these are the internal factors that determine whether companies keep growing or not.
Preview diagnostic · Based on publicly available signals · The full instrument runs across core, innovation, talent and reality
AIGAI is in beta. Readings are generated from publicly available information and grounded in the Stall Points research framework — Olsen & Van Bever's longitudinal study of why companies stop growing. The instrument gets more precise with every pilot company that joins. Treat this as a starting point for conversation, not a definitive assessment.
Four Dimensions · Detailed Reading
I · Core
Core
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II · Innovation
Innovation
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III · Talent
Talent
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IV · Reality
Reality
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Your response
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A
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Noted. We will be in touch when it matters.
The Structural Condition
Long-term success is extraordinarily hard.
Not because of anything in the market. Because of specific, named cognitive mechanisms that make organisational clarity almost impossible to maintain from the inside.
Leaders are not complacent. Most are acutely alert to threats. The problem is that the mechanisms evolution gave us for threat detection were built for a world of visible, immediate danger, not for the slow structural drift that destroys most companies.
Mechanism I
Negativity Bias on the Wrong Threats
Negativity bias makes leaders hyper-vigilant about threats, but only threats that are visible and discrete. A competitor announcement. A bad quarter. A key resignation. The brain grabs these immediately and amplifies them. Structural drift is different. Brand desirability eroding over eighteen months. The proportion of challenge language in leadership meetings declining quarter by quarter. These are not events. They are gradual movements. Negativity bias does not fire on gradual movements. The danger accumulates invisibly until it cannot be reversed.
Baumeister et al. · Bad Is Stronger Than Good · Review of General Psychology · 2001 · Kahneman · Thinking Fast and Slow · 2011
Mechanism II
The Illusion of Explanatory Depth
Rozenblit and Keil identified what they called the illusion of explanatory depth: we believe we understand complex systems far better than we actually do. When a slow negative signal surfaces, leaders explain it. Revenue down this quarter, explained. Brand scores softening, explained. Key talent leaving, explained. Each explanation is locally plausible. None of them connect into a pattern. The explanation satisfies just enough to stop the alarm escalating. The signal gets processed. The structural problem continues.
Rozenblit & Keil · The Misunderstood Limits of Folk Science · Cognitive Science · 2002
Mechanism III
The Organisational Immune System
The bigger the organisation, the stronger its immune system against uncomfortable truths. The assumptions that built the company are the same ones that become hardest to question, so deeply held and so long accepted that it is no longer instinctive to challenge them. External perspectives get filtered. Signals that challenge the prevailing view get explained away. The distance between what is believed and what is true grows until it cannot be ignored. By then, the options have already narrowed.
Olsen & Van Bever · Stall Points · Yale University Press · 2008 · Collins · How the Mighty Fall · HarperCollins · 2009
Mechanism IV
Knowing Is Not Enough
Daniel Kahneman spent a career demonstrating that knowing about a bias does not protect you from it. Only structural intervention does. Reading about these mechanisms in a business book does not make a leader immune to them. It may even make it worse, producing the illusion of protection while the underlying condition remains. The solution is not insight. It is instrumentation.
Kahneman · Thinking Fast and Slow · 2011
"The assumptions that the team has believed the longest are the likeliest to be the team's undoing — because these beliefs are so obvious and accepted that it is no longer polite to debate them."
Stall Points · Olsen & Van Bever · Yale University Press · 2008
1 in 10
Companies sustain above-GDP growth over 30 years
Olsen & Van Bever · Stall Points · Yale University Press · 2008
85%
Of companies that stall do so because of internal strategy failures, not external disruption
Zook & Allen · Profit from the Core · Harvard Business School Press · 2001
2.2×
Total shareholder returns delivered by top-quartile organisational health companies vs bottom quartile
Joyce, Nohria & Roberson · What Really Works · Harvard Business Review · 2003
The answer is not a better consultant, a more honest board, or a more self-aware CEO. Those help. But they are not structural. The answer is an instrument: one that never gets tired, never gets political, and never softens what it finds.
Each signal is grounded in the Stall Points research — Olsen and Van Bever's longitudinal study of why companies stop growing. Together they produce a directional reading of where the organisation is, and where it is heading.
Reality sits above all three as the overarching condition — the lens through which every signal is read.
Signal I · Stall Points: Premium Position Captivity
Core
Is the organisation's understanding of why customers choose it current and actively tested — or inherited and assumed? Is the competitive picture based on today's market or yesterday's?
Market grip · Customer preference · Signal access
Signal II · Stall Points: Innovation Management Breakdown
Innovation
Are resources directed at the next growth driver, or gradually drifting toward defending the last one? Is the pipeline full of the right things — or just full?
Investment direction · Product velocity · Competitive intelligence
Signal III · Stall Points: Talent Bench Shortfall
Talent
Does the leadership team's range of experience and perspective cover the territory the next phase of growth will require? Are different viewpoints being brought in alongside deep institutional knowledge?
Perspective range · Retention · Succession depth
Overarching condition · Not a fourth signal
Reality
The gap between what the organisation believes about itself and what is objectively true. When the gap is wide, the three signals above cannot be fully trusted. Closing it is the highest-value work available.
The condition that determines whether the other three can be read clearly
The Compounding Effect · Illustrative Pattern
Individual signals are recoverable. Interacting signals are not.
When one signal is moving, a company can usually respond. What the research documents consistently is that when signals across pillars begin to move together, each deterioration removes the organisation's capacity to detect and correct the others. The pattern is harder to reverse, and harder to see from the inside.
The sequence below is an illustrative pattern based on the Stall Points research. It does not describe any single organisation.
Signal I · Core
Market grip weakens
The organisation restructures how it reaches customers. External feedback channels narrow. The unfiltered signal from the market starts to disappear.
↳ The early warning system goes quiet.
→
Signal II · Innovation
Innovation drifts
Without external signal, investment flows toward defending the current structure rather than the next growth driver. Infrastructure, not desirability.
↳ The pipeline fills with the wrong things.
→
Signal III · Talent
Perspective narrows
The team realigns around the prevailing direction. The perspectives most likely to challenge the strategy become scarcer.
↳ The voices that could name what is going wrong are no longer in the room.
→
Reality · Overarching
The gap widens
No external feedback. No product momentum. No challenge from inside. Every signal of difficulty gets explained away. The strategy continues.
↳ Options have already narrowed by the time the financials confirm it.
The pattern matters more than any single signal
When two or more signals are moving in the same direction simultaneously, the pattern is more significant than any individual reading. The research documents this consistently: compound drift is harder to reverse and harder to see from the inside. AIGAI is designed to name the pattern before it becomes the story.
Three signals. One honest picture. Grounded in research. Readable from the outside.
In 2016, working inside a company when the instruments were still saying yes, I saw what that moment looks like from the inside.
Working in global marketing while the company went through the early days of what would become a decade-long stall, I did the diagnostic work to find the root causes. Out of loyalty and genuine belief in what the organisation could be, I mapped the patterns, built the framework, and presented the findings to the CEO.
No leader sets out to do a bad job. Most of what goes wrong is structural, not personal. That means it is fixable. Twenty years across agencies, global brands and private equity confirms the belief that has driven everything I have done: organisations that stop seeing themselves clearly stop growing. And the people inside them stop thriving too.
As humans we are in desperate need of a shared reality. AI can help us find it. AIGAI is built to give every organisation the instrument that makes that possible.
Global brands, agencies and private equity. Twenty years watching the same pattern repeat in different forms.
2016
The originating insight. The problem named clearly, ten years before the tools existed to build the solution.
2026
AIGAI. Stockholm. Research that runs.
The Research Foundation
AIGAI is grounded in Stall Points — Olsen and Van Bever's longitudinal research into why companies stop growing, published by Yale University Press in 2008. Their dataset of 500 large companies produced one finding that changed how I see every organisation I have worked with since: 94% of major growth stalls are caused by internal strategic decisions, not the market. Three specific failure modes account for the vast majority of cases.
The psychological research of Kahneman, Baumeister, and Rozenblit and Keil explains why those failure modes develop even in organisations led by intelligent, experienced people. Knowing about a bias does not protect you from it. Only structural intervention does. That is what AIGAI is built to be.
Over time, AIGAI will encode the frameworks of additional researchers whose work is relevant to organisational fitness — making their research operational rather than inspirational.
Beta · Pilot Programme · Stockholm 2026
Research that runs in your organisation.
AIGAI is in beta. We are working with a small number of pilot organisations who want to operate closer to what they are actually capable of. Pilot participants work directly with the founder.
Stage 1 · Available now
Public signal reading
AIGAI reads leadership composition, competitive positioning, market signals, and product direction from publicly available data. No integration required. You complete the onboarding questionnaire. You get a reading within five working days.
Stage 2 · Connected data
Your own metrics, connected
For organisations that want a more precise reading, AIGAI connects to existing systems via simple read-only access — CRM, HR platforms, financial data. More data means a more calibrated reading. More data, better information.
Stage 3 · Full instrument
Always-on layer
The full AIGAI instrument runs continuously in the background. Directional signals updated as new information arrives. Pattern detection active. The reading that would otherwise take weeks of research, delivered automatically.
We are accepting a small number of organisations for the first cohort. We will reach out directly to discuss whether AIGAI is the right fit.
We have you. Thank you.
Your response is exactly the kind of signal AIGAI is built to act on. We will be in touch when the time is right.