TALKING

Our responsible AI layer offers several key features like the ability to select the appropriate model for specific governance needs , track inputs and outputs and establish guardrails . If something unexpected occurs , it is flagged , halted and sent for human review before being released . Additionally , we use predefined prompt templates to ensure consistency in the answers generated .

Mihir Shukla , CEO and Co-Founder , Automation Anywhere

We are also actively engaging with governments as AI regulations evolve , sometimes helping to shape these regulations . As a result , we are at the forefront of AI governance and ensuring our platform provides our customers with the latest in AI governance capabilities . crisis . For the first time in human history , we are on track to see a 3 % decrease in the working population over the next decade , meaning there will be fewer people available to work .

While other technologies may emerge , AI is the most impactful and immediate solution we have today . Our vision is for businesses to reimagine their operating models , automating between 40 % and 80 % of what is currently considered ‘ work ’. In its place , new business processes , market opportunities and ways of working will emerge . From an employee ’ s perspective , this transformation is exciting .

We already see a shift in employee preferences . Job seekers now consider AI adoption when choosing employers . No one wants to work for a company that relies on outdated manual processes , as it doesn ’ t contribute to career growth . Employees want careers , not just jobs . Employers will have to recognize this too and use AI as a competitive advantage that enhances their operations .

What measures do you take to ensure security , strong governance and compliance with AI in large organisations ?

Our entire platform is built on a responsible AI framework that addresses these concerns . This framework helps mitigate issues such as hallucinations , which , as many are aware , occur when AI systems generate incorrect or fabricated information . To prevent this , we ground the AI in enterprise data . For example , Automation Anywhere ’ s AI model is trained on over 300 million automations . strengthening the foundational models to deliver results tailored to almost every industry . This approach elevates basic AI

What do you believe is one of the next big steps for AI and enterprise agentic process automation in reshaping work and offering companies a strategic advantage ?

This will dramatically alter their operating model . It will open up new revenue streams and markets that were previously untapped . In the financial services sector , it will significantly lower operational costs .

When speaking with CEOs from companies of all sizes , I often hear them categorise their budgets into three areas : what it costs to run the business , what it takes to grow and what is needed for transformation . One common concern is that a large portion , sometimes as much as 80 % of their budget , is consumed simply by maintaining dayto-day operations . Around 10 – 15 % is allocated to growth , while just 2 % is spent on transformation . This essentially means focus is on survival not thriving and while this is how most businesses function ; it is still far from the most rewarding way to operate . The more fulfilling approach would be for businesses to spend only 50 % on keeping things running smoothly .

With AI and automation in place , many more businesses could operate autonomously and will free up resources to direct 30 – 34 % towards growth and another percentage will go towards transformation , thereby enabling the business to explore new delivery models . In sectors like pharmaceuticals , AI could help develop new treatments for diseases that affect us all while in healthcare , I ' ll bring about new ways to improve patient care . With the right transformation , these sectors could provide such delightful experiences and foster the loyalty that every business seeks . p

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