Leading global consultancy, ADAPTOVATE, has announced the launch of a comprehensive AI Capability Uplift Framework, a rapid-deployment learning solution designed to help enterprises move artificial intelligence out of pilot phases and into daily operations.

While generative AI has the potential to add up to $4.4 trillion annually to the global economy, an estimated 95 per cent of enterprise AI pilots currently fail to deliver measurable business value.

Furthermore, despite heavy investments in technology, 66 per cent of organisations have not yet begun scaling AI across their workforce.

ADAPTOVATE’s new learning framework addresses this disconnect by focusing on the human element, recognising that 70% of the work required to realise value from AI lies in people and processes, not data, technology and algorithms.

Paul McNamara, CEO Australia & New Zealand at ADAPTOVATE highlighted the critical need to bridge the enterprise capability gap,

“We are seeing a clear divide between organisations that are merely experimenting with AI and those that are fundamentally transforming how they work.” McNamara said.

For those that are in the transformation category, it’s a distinct competitive edge.” he said.

Research suggests organisations that approach AI transformation through an embedded learning or capability uplift program are 3.5x more likely to outperform competitors.

“To close the AI Scale Gap, businesses need a structured approach to upskilling their people and redesigning their workflows.”

“Generic training doesn’t work. Our framework is built to accelerate the transition from theory to execution safely and effectively.” said McNamara

To achieve sustained adoption and move beyond outdated, multi-day certification courses, the ADAPTOVATE AI Capability Uplift Framework ensures learning is immediately applied to redesigning actual daily workflows by integrating three formats into one connected learning system.

The system encompasses practical executive sessions equipping leadership with the fluency to confidently govern and champion AI integration, alongside on-demand digital microlearning that provides role-based, mobile-first learning modules that employees can access when and where they work.

This is reinforced by practical application workshops featuring hands-on sessions designed to transition theory into practice by actively redesigning existing processes.

To guide where and how organisations should scale their investment, ADAPTOVATE operationalises the learning and builds compounding AI capability through three progressive levels.

It begins at Level 1 with foundational AI training, establishing a shared baseline of AI literacy, safe usage, and regulatory compliance across all employees.

The model then advances to Level 2 with role-specific AI learning, delivering targeted training that applies AI to the specific tools, challenges, and use cases of distinct business functions.

Finally, Level 3 establishes an AI Centre of Excellence, nurturing an internal network of embedded ‘AI Coaches’ to sustain adoption, govern use, and champion continuous improvement from within.

ADAPTOVATE’s AI Capability Uplift Frameworkis already delivering measurable transformation in the market. Following a private equity acquisition, a global IT provider engaged ADAPTOVATE to drive a mandated shift toward an AI-first organisational culture.

Rather than relying on standard corporate learning platforms, ADAPTOVATE ran a two-week design sprint to build a structured, scalable capability pilot program from the ground up. At the end of the two weeks, the client’s ‘AI Academy’ pilot was ready for launch.

By anchoring the curriculum in the client’s actual tools and language, including the innovative use of internal leader AI avatars, the program bypassed standard change fatigue.

Over 1,200 staff enrolled in the pilot, which was then rolled out to 5,000 employees. Engagement was immediate and sustained, 96% completed the entire curriculum, and 99% achieved a score of 80 per cent or higher on the final assessment.

The framework successfully drove organic behavioural change across the organisation, with employees proactively recording peer-to-peer tutorial videos on utilising AI for code reviews.

“Seeing the workforce take absolute ownership of their learning—down to developers spontaneously creating their own AI tutorials—proves our model works,”

“We are incredibly excited to take this exact blueprint for rapid, authentic capability building and roll it out across our upcoming enterprise programs,” said McNamara.