Our philosophy on AI strategy
AI gives people unprecedented access to knowledge and capability. We help organisations and their people harness it.
Our purpose
Leomayn exists to empower people and businesses to succeed in a changing landscape.
AI is rewriting the rules of knowledge work. When OpenAI released GPT-5.2 in December 2025, it achieved a 70% score on the GDPval benchmark, meaning it met or exceeded human expert performance on 70% of economically valuable tasks across 44 occupations. The gap between having an idea and executing it has collapsed.
But there's a catch. That 70% was achieved when tasks were perfectly briefed: clear instructions, complete context, defined success criteria. Real work doesn't arrive that way. This is why many organisations are not yet realising the value they could be from AI.
This creates a fundamental challenge and opportunity. The skill is learning how to harness these models: providing context, direction, and judgement that channels AI capability toward meaningful outcomes. People and organisations that develop these skills will create more value, move faster, and compete on different terms. Those that don't will struggle to keep pace.
We help organisations take practical steps to integrate AI into their workflows, deliver measurable improvements, and build the internal capability to sustain and extend those gains over time.
Context engineering is the skill
AI models respond to context.
The quality of the output depends on the quality of the instructions, the background information, and the framing you provide. A vague prompt produces a vague result. A precise prompt, grounded in the right context, produces something useful.
Learning to provide that context effectively is the new core competency. This is context engineering: the skill of structuring information, asking the right questions, and guiding AI toward outcomes that create real value.
This is learnable. It requires practice, feedback, and deliberate effort. Organisations that invest in developing this skill across their teams will outperform those that treat AI as something you simply switch on.
Direct AI to the right problems
The strategic question is: which problems are worth solving with AI, and how do you structure the work so it delivers real value?
This requires understanding your operations. Where does effort compound? Where does it dissipate? Which workflows consume time without creating proportional value? Where are the handoffs, the rework loops, the bottlenecks?
Once you understand this, you can direct AI to the problems that matter. You can design solutions that integrate into how your business actually works, rather than impressive demos that never scale.
We help organisations identify those problems and build AI into workflows in ways that make a measurable difference.
Capability comes from application
You become fluent by doing the work, making mistakes, and refining your approach. Training and deliberate practice build the muscle.
Leomayn develops capability through application. We work with clients to apply AI to real problems, generate impact, and build the flywheel of results that drives organisational change. Each successful implementation creates evidence, confidence, and momentum for the next.
Organisations that create space for this kind of applied learning will develop a compounding advantage.
The risk of displaced jobs is real
We acknowledge this honestly.
AI will change what work looks like. Some roles will disappear. Others will transform. The organisations that thrive will be the ones that invest in their people's ability to guide and orchestrate these tools.
Leomayn exists to help teams build that capability. We want the people in your organisation to be leading the change.
See how we put this into practice
Book a 30-minute discovery call. We'll discuss your operational challenges and show you how these principles apply to your business.
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