Independent research on where productive capacity is being lost, how work is changing and where AI can create measurable value.

Our latest research examines where productive capacity is being lost, the barriers getting in the way of better work, and the actions leaders can take to improve productivity and prepare for AI-enabled work.
Explore where productive capacity is being lost and the actions leaders can take to improve work design, execution and AI adoption.
A concise summary of the key research findings, executive implications and priority actions to lift productivity for CEOs, boards and senior leaders.
Explore how government leaders can lift productivity, strengthen execution and release capacity while meeting public sector obligations.
Our research identified five connected barriers that constrain productive capacity and make it harder for organisations to turn AI investment into better work and measurable value.
Fragmented workflows, hand-offs and unclear decisions slow execution and make it harder to embed AI effectively.
When everything is a priority, focus fragments. Leaders need clearer trade-offs so capacity goes to the work that creates the most value.
Meetings, administration, duplication and rework absorb scarce capacity, leaving less time for higher-value work, transformation and growth.
AI is changing how work gets done. Leaders and teams need the skills, confidence and practices to work effectively with it.
Layering AI onto existing processes limits value. Workflows, roles and decisions need to be redesigned around human + AI capability.
BOOK A 30-MIN RESEARCH BRIEFING
Our research-backed framework and diagnostic helps leaders understand how work gets done and where productivity, capacity and AI value are being constrained. Built on 1,000+ data points across five pillars and 40 capability areas, it provides an evidence base for where to focus and what to change.
The framework underpins our diagnostic, AI Work Transformation Roadmap and transformation services, creating a consistent evidence base from research through to action.

The conditions, capability and workforce experience that support productive, sustainable work.
The leadership, decision-making and team practices that drive focus, coordination and execution.
The priorities, outcomes, planning and ownership that translate strategy into action.
How workflows, systems and data create or remove friction, manual effort and capacity loss.
The AI opportunities and human + AI capabilities required to improve work and realise value.
Reduce low-value work and unnecessary complexity to free up capacity for higher-value priorities, innovation and growth.
Improve focus, decisions, accountability and ways of working so priorities translate into faster, more consistent execution.
Apply AI to better-designed work where it can improve decisions, reduce avoidable effort and create measurable value.
Build the skills, confidence and practices people need to adapt, perform and work effectively with AI.
Create better ways of working that support strong performance while maintaining engagement, capacity and wellbeing.
Book a 30-minute briefing to discuss what the research means for your organisation, where productivity or capacity may be constrained, and where AI could create the greatest value.
