Putting AI to Work: From Pilots to Production
Written by Rebecca Uffindell Fri 20 Mar 2026
At Tech Show London, Piers Linney delivered a keynote examining how artificial intelligence is reshaping modern organisations. Moving beyond speculation, the session focused on real-world deployment, offering practical insight into how business leaders can integrate AI into operational environments.
Linney opened by acknowledging the overwhelming attention surrounding artificial intelligence.
“One of the frustrating things… is the AI noise.”
For organisations navigating this landscape, separating hype from practical value has become essential. He explained that Implement AI initially focused on educating companies about the technology’s capabilities but has since shifted toward supporting organisations as they adopt and operationalise AI solutions.
Central to his argument was the distinction between the “technological frontier” and the “operational frontier.” While the former represents innovation and experimentation, the latter signifies dependable tools capable of delivering measurable business value.
“You don’t want to make cool. You want to automate something that adds value.”
This philosophy underpins Linney’s approach to deployment: prioritise use cases that are robust, reliable and capable of generating clear returns.
AI as a Second Workforce
A central theme of the keynote was the emergence of AI as a complementary workforce. Rather than replacing human employees, AI agents act as “digital workers,” augmenting teams and enabling organisations to scale more efficiently.
“It’s adding to that your digital workers, your digital colleagues.”
These digital counterparts operate continuously, integrate with enterprise systems and support human decision-making. By capturing institutional knowledge and automating repetitive tasks, they enhance both productivity and organisational resilience.
Linney emphasised that AI’s immediate value lies in its ability to analyse vast quantities of data. From customer interactions to operational workflows, AI enables organisations to uncover insights previously hidden within their systems.
“You can start to see things you’ve never seen before.”
This capability allows businesses to identify missed revenue opportunities, improve customer experiences and optimise internal processes. He likened this to gaining “x-ray vision” into organisational performance.
From Experimentation to Measurable Impact
A recurring theme throughout the session was the importance of measurable outcomes. Linney encouraged leaders to prioritise use cases that demonstrate clear value and build confidence across stakeholders.
“Focus on where it’s robust, and you can measure the ROI.”
By starting with well-defined applications and scaling strategically, organisations can move from experimentation to enterprise-wide adoption. The emphasis, he noted, should be on practical implementation rather than technological novelty.
Rethinking the Future of Work
Looking ahead, Linney addressed the broader implications of AI for the workforce. While acknowledging uncertainty about the future, he suggested that automation is already reshaping knowledge-based professions.
“75% of knowledge work… can already be done by the technology that exists today.”
Rather than viewing this shift as a threat, he positioned it as an opportunity to augment human capability. By delegating repetitive tasks to AI, professionals can focus on creativity, strategic thinking and high-value decision-making.
From Pilots to Production
The session underscored a broader transition: organisations are moving beyond experimentation toward production-ready AI deployments grounded in measurable outcomes.
As AI adoption matures, success will depend not on novelty, but on disciplined execution, clear return on investment and the ability to integrate digital workers into everyday operations.
The era of AI pilots is giving way to one of operational deployment, where value is defined not by possibility, but by performance.
Written by Rebecca Uffindell Fri 20 Mar 2026