We help organisations improve how people and AI work together, strengthening performance, human expertise and the leadership practices that support both. We also help management teams improve how decisions are made and carried into action.
AI opens up new possibilities for the work and the people doing it. Realising them takes judgment, collaboration and changes in how teams are led. Alongside this, we help organisations improve the information, skills and arrangements behind important decisions.
Better work with AI. People able to contribute more.
We help teams produce better work, explore stronger options and develop their expertise with AI. With their leaders, we shape the responsibilities, expectations and opportunities to learn that make those improvements possible.
Improve how decisions are made and carried into action.
We help teams connect relevant information, assess alternatives and strengthen how authority, accountability and resources support important decisions. This includes decisions where AI contributes analysis or recommendations.
In practice
A team uses AI to explore a growth opportunity. It brings more options into view, but the recommendation rests on an untested assumption. How can the team make use of that broader thinking and assess what deserves confidence?
Work with the team to explore alternatives, test the reasoning and agree what good work looks like. Build review and learning into the work, with clear responsibility and support from managers.
Stronger options and advice the team can stand behind.
Agreed ways to assess AI’s contribution, reduce avoidable rework and help colleagues develop the expertise to handle the next challenge.
In practice
A management team has capable people, substantial data and established meetings. Yet decisions return to the same senior people, teams proceed on different assumptions, and delivery waits for commitments that seemed settled.
Trace how decisions move from evidence to commitment, identify where ownership or alignment breaks down, and define the changes needed.
Clear ownership and commitments that carry decisions into action.
Priority changes to decision ownership, resource commitments and follow-through, with a practical implementation path.
Perspective and experience
My work at BASES/NielsenIQ and TRAX involved bringing digital and AI-enabled services to customers and helping teams work with them. Alongside advising on innovation and growth, I became interested in how people develop the expertise and judgment to make good use of technology. That is the starting point for Decision Landing.
About Decision Landing
01A better output can obscure what its author has understood. How can organisations develop the expertise to assess AI-assisted work?
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02Look beyond adoption and time saved to the quality of the work and the demands it places on colleagues.
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03An approved priority may leave existing commitments untouched. What must management resolve before the business can act?
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Whether you want to strengthen how people work with AI or improve an important part of how your organisation decides, an initial conversation can help establish where to begin.
We shape the work around your team, business issue and intended outcomes.
Contact Nic