Integration of AI into BPM Challenges Possibilities and

Vikas Wahee, Head of Solutions, BPM & ITES, FLOW about Al, BPM and MSMEs

- DR ARCHANA VERMA

How is AI/ML changing the BPM (Business Process Management)?

AI leads to faster results, better decision making and higher efficiency for all industries, including BPMs. With the emergence and rapid development of AI, the methods and possibilities in BPMs are undergoing fundamental revolution and significant expansion. Users can now achieve higher level of value for business process management, including

• Automation and efficiency
• Predictive and prescriptive analytics
• Enhanced customer experience
• Intelligent process design and optimisation When it comes to utilising vast amount of varied data to achieve accurate recommendations, human capability eventually reaches their limits. Artificial intelligence complements the human intelligence to deliver more accurate recommendations for the businesses.

What are the challenges in integrating AI with BPM? How do you resolve these challenges?

The main challenges organisations face are
• Insufficient data to create effective AI solutions
• Lack of trust in decisions or predictions made by AI
• Changes in employees’ work processes It is very important for organisations to be AI-ready.

This requires careful planning, strategic decision-making and effective change management. While the benefits of AI in streamlining business processes are substantial, successful implementation is the key, which requires organisations to follow some crucial steps and mitigate challenges effectively.