Introduction to Agentic AI
Agentic AI is considered by McKinsey to be the way to ‘break out of the gen AI paradox.’ Nearly four in five companies are using generative AI, but comparatively few are getting any bottom-line value from it. The answer to the question of value may be in orchestration. Some experts see the orchestration function as ‘the point when agents become agentic.’
What is Orchestration?
Orchestration is the process of automating and connecting multiple tools and agents together. This is where BMC sees an opportunity with its Control-M platform, which enables organizations to automate the scheduling and processing of business workflows across various platforms and applications from a single point of control. BMC was recently named as a leader in Gartner’s Magic Quadrant for service orchestration and automation platforms.
The Role of Control-M
Control-M is seen as the ‘orchestrator of orchestrators’, connecting multiple tools together. Director of solutions marketing Basil Faruqui predicts that this orchestration will move from applications and APIs to agents within the next 12 months to two years. For example, Salesforce has Agentforce, which it calls a ‘digital labour platform’, enabling companies to have visibility and control in scaling AI agents.
The Future of Agentic AI
Faruqui believes that the future of agentic AI lies in the ‘agent economy’. He notes that companies like Salesforce, SAP, and data warehouses will be automating their functions using agentic AI. The orchestrator’s role will change to automating and connecting agents across systems. Faruqui sees Control-M playing a key role in this ‘agent economy’ as the orchestrator of agents across systems.
Real-World Applications
Faruqui notes a recent meeting with the CTO of a major healthcare organization, which processes over $10 billion in claims each month. Initial testing of gen AI and LLMs was ‘transformative’, and applying gen AI to claims processing could cut down time of operations significantly. However, operational and governance challenges remain a principal barrier. Orchestration helps bridge this gap.
Investment in Agentic AI
Faruqui notes that the breadth and depth of investment in this space are significant. Sponsorship for these projects is often coming from the board level, and companies are starting to report on the progress of their AI initiatives in their letter to shareholders. This investment is expected to drive rapid progress in the field, with vendors needing to be ready to adapt in as little as six months.
Conclusion
Agentic AI and orchestration are expected to play a key role in the future of business. With the ability to automate and connect multiple tools and agents, organizations can unlock the full potential of generative AI. As the ‘agent economy’ takes off, Control-M is poised to play a key role as the orchestrator of agents across systems.
FAQs
Q: What is agentic AI?
A: Agentic AI refers to the use of artificial intelligence to automate and connect multiple tools and agents together.
Q: What is orchestration?
A: Orchestration is the process of automating and connecting multiple tools and agents together.
Q: What is the role of Control-M in agentic AI?
A: Control-M is seen as the ‘orchestrator of orchestrators’, connecting multiple tools together and enabling organizations to automate the scheduling and processing of business workflows.
Q: What is the ‘agent economy’?
A: The ‘agent economy’ refers to the future of business where companies use agentic AI to automate and connect multiple tools and agents together.
Q: Who is Basil Faruqui?
A: Basil Faruqui is the director of solutions marketing at BMC and an expert in agentic AI and orchestration.
