88 % organisations are implementing AI.
6 % derive a real benefit from this.
Some organisations use AI in production
McKinsey State of AI, 2025 — 1,993 respondents, 105 countries
achieve an EBIT impact of >5%
McKinsey’s State of AI, 2025
the financial performance of organisations that redesign their workflows
McKinsey’s State of AI, 2025
The gap cannot be explained by technology — it can be explained by experience. When AI is not designed with the people who use it in mind, it generates friction, mistrust and rejection. The promised gains are evaporating. Pilot projects are stalling. Budgets are not being translated into value.
Human Design Group applies 40 years’ expertise in human factors artificial intelligence systems. We design AI experiences that your staff embrace, master and love — because they have been designed for them, with them, right from the start.
Before redesigning, we need to understand. Our UX × AI audit maps out the points of friction between your staff and your AI systems — data entry interfaces, feedback loops, cognitive overload, trust deficits, and discrepancies between intended and actual usage. We analyse actual user journeys, not theoretical ones, to pinpoint exactly where value is lost.
Combining ergonomic activity analysis, contextual user testing and qualitative interviews, the audit produces an actionable assessment in less than six weeks.
What the audit reveals:
Hidden areas of friction within management, actual versus reported adoption rates, redesign opportunities with a rapid return on investment, and acceptance factors specific to each business line. A reference document that your IT and HR teams can put to immediate use.
Well-designed AI becomes transparent — it fades into the background, allowing the result to take centre stage. Our designers and user experience specialists co-design interfaces, assisted decision-making workflows and feedback loops based on the mental models of your end users, rather than technical constraints.
Whether it’s a business co-pilot, a RAG documentation assistant, a decision-support tool or an autonomous monitoring interface, we design for trust, efficiency and sustainable performance — whilst incorporating usability standards and the regulatory requirements specific to your sectors.
Our design deliverables:
AI personas and usage maps, annotated target user journeys, interactive prototypes tested in real-world conditions, interaction specifications, UX prompt guidelines, design systems tailored to generative AI, and technical documentation for your product teams.
Resistance to change is a normal response to a poorly designed initiative. Our support for adoption goes beyond simply communicating the project or providing top-down training — it combines behavioural analysis of human factors, immersion and co-ownership workshops, and continuous feedback mechanisms to create the conditions for lasting ownership.
We are redesigning the human-machine relationship by involving users as co-creators of the transformation, rather than as passive recipients of a tool decided upon elsewhere.
Beyond traditional change management:
An adoption strategy based on behavioural analysis and organisational factors, immersion and co-ownership workshops, identified and trained AI ambassadors, usage dashboards and post-deployment continuous improvement cycles.
Our methodology is based on four interlinked dimensions: understanding, designing, testing and embedding. It can be tailored to your roll-out requirements, whether it’s an 8-week pilot or an organisation-wide transformation programme.
