Transformative Shifts in AI Technology

Artificial intelligence technology is undergoing transformative shifts, particularly in automation and process management. As generative AI becomes more prevalent in companies, there is a growing need to enhance the financial returns from this technology. McKinsey suggests that the solution lies in what is called ‘agentic AI’.

Concept of Agentic AI

Agentic AI represents an advanced step in utilizing technology to make systems more autonomous and capable of decision-making. Automation is seen as a transition from executing specific tasks to systems capable of performing complex functions independently through what are known as AI agents.

Coordinating between different systems is a crucial part of achieving this level of automation. As highlighted in an article on CIO.com, the pivotal role emerges when agents become intelligent and can deliver added value to companies.

The Role of Control-M Platform in Automation

BMC is a leading entity in this field with its Control-M platform, which enables companies to automate the scheduling and processing of workflows across multiple platforms and applications from a single control point. BMC has been recognized as a leader in service orchestration and automation platforms in Gartner’s Magic Quadrant report.

BMC aims for the Control-M platform to be the ‘orchestrator of orchestrators’, connecting multiple tools together. Basil Farooqi, Solutions Marketing Manager at BMC, expects the coordination process to move from applications and APIs to agents within one to two years.

The Importance of Coordination in Achieving Business Value

Coordination between different systems provides the ability to enhance business process efficiency and reduce operational hurdles. For instance, in healthcare, applying AI to claims processing can significantly reduce processing times, thereby increasing operational efficiency.

However, Farooqi emphasizes that technology only delivers real business value when deployed in a production environment, where operational challenges and governance remain major obstacles. This is where coordination plays a role in bridging the gap and achieving the expected returns.

Increasing Institutional Investment and Support

Farooqi points to significant growth in investments in AI, with support coming from the highest levels of company management, even reaching boardrooms. In some cases, companies have begun including reports on AI initiative progress in their communications to shareholders.

Farooqi anticipates that innovations in this field will accelerate, necessitating companies to be prepared to quickly adapt to these developments. He asserts that BMC is working towards a bold vision for the future of the agentic economy, where coordination will be the means to achieve business outcomes.

Conclusion

Agentic AI technology is a crucial step towards achieving full automation in business processes. Through platforms like Control-M, companies can improve operational efficiency and gain added value from their technology investments. The support of senior management and ongoing investment in this field indicates a promising future for AI in the business world. It is important for companies to be ready to adapt to these rapid changes to ensure success in this fast-paced digital era.