Six situations we hear about most, and what changes when cognition is managed.
What we solve
Organisations · Leadership
Managers give 37% of their time to decisions and judge more than half of that time ineffective (McKinsey). Nearly half of employees describe their work as chaotic and fragmented (Microsoft, 2025). The constraint is no longer producing the work. It is the volume of calls the organisation has to make, and how little attention is left to make them with.
What changes
Decisions get the depth they warrant and no more, and the organisation stops paying twice for the same call.
Organisations · Transformation
Two in three employees who use AI at work rely on its output without checking it, and fewer than half have had any training (KPMG, 2025). Only 5% of organisations say they lead in combining AI with human decision-making, while 64% call it very important (Deloitte, 2026). The gap is not adoption. It is method.
What changes
People keep the framing and the final call, checking becomes visible in the work, and AI literacy shows up as behaviour rather than as a certificate.
Teams · Ways of working
The overload is not only external. Organisations manufacture their own: the meeting that could have been a decision, the document circulated to twelve people and read by none, the thread that copies everyone in case. Each one spends the attention the next decision needs.
What changes
Fewer people in the room, fewer documents nobody reads, and the attention that frees up goes to the decisions that carry weight.
Teams · Leadership teams
When a decision is taken without the team working it through, nobody defends it afterwards. What one member knows rarely reaches the table: groups are eight times less likely to find the best answer when the deciding information sits with one person (Lu, Yuan & McLeod, 2012). The decision gets made. The commitment does not.
What changes
The question agreed before the answers, what each member knows on the table, and a decision the room still stands behind next month.
Teams · AI
At one large organisation, individuals working with AI matched the output of teams working without it (Dell’Acqua et al., 2025). Once a person with a model can do what a group used to do, the question of which moments still need the group, and which still need a human, stops being rhetorical.
What changes
The team names the moments that stay human to human, and uses AI where it adds rather than where it simply arrives first.
AI can answer.
You decide.
Recognise one of these?
We are glad to compare notes on what you see in your own organisation.