Research & Insights

Evidence to improve productivity, work design and AI value

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

Executives in a workshop reviewing workforce productivity and AI research
Key findings from our research

Five barriers are holding back productivity and AI value

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.

Strategy breaks down in execution

Fragmented workflows, hand-offs and unclear decisions slow execution and make it harder to embed AI effectively.

Too many competing priorities

When everything is a priority, focus fragments. Leaders need clearer trade-offs so capacity goes to the work that creates the most value.

Low-value work consumes capacity

Meetings, administration, duplication and rework absorb scarce capacity, leaving less time for higher-value work, transformation and growth.

Capability is not keeping pace

AI is changing how work gets done. Leaders and teams need the skills, confidence and practices to work effectively with it.

AI is added without redesigning the work

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

From evidence to action

Our AI Work Transformation framework identifies where value is constrained and where to act first

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.

UNLOCK framework wheel showing five pillars: workforce experience, leadership and team practices, strategy-to-execution alignment, workflow, systems and data, and AI enablement and value realisation
Pillar 1
Culture & workforce experience

The conditions, capability and workforce experience that support productive, sustainable work.

Pillar 2
Leadership & team practices

The leadership, decision-making and team practices that drive focus, coordination and execution.

Pillar 3
Strategy to execution alignment

The priorities, outcomes, planning and ownership that translate strategy into action.

Pillar 4
Workflow, systems & data

How workflows, systems and data create or remove friction, manual effort and capacity loss.

Pillar 5
AI enablement & value realisation

The AI opportunities and human + AI capabilities required to improve work and realise value.

From insight to impact

Better-designed work creates capacity, strengthens execution and turns AI into measurable value

Create capacity for growth

Reduce low-value work and unnecessary complexity to free up capacity for higher-value priorities, innovation and growth.

Strengthen execution

Improve focus, decisions, accountability and ways of working so priorities translate into faster, more consistent execution.

Realise more value from AI

Apply AI to better-designed work where it can improve decisions, reduce avoidable effort and create measurable value.

Engaged & skilled workforce

Build the skills, confidence and practices people need to adapt, perform and work effectively with AI.

Sustainable performance

Create better ways of working that support strong performance while maintaining engagement, capacity and wellbeing.

AI Work Transformation

Turn the evidence into better work and measurable AI value

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.

Leaders in a facilitated conversation about AI-enabled work transformation