Most inefficiencies in business workflows happen between tasks, specifically during transitions, handoffs, and the manual checkpoints between AI agents, robots, and humans. Without a plan to connect these transitions and automate whole processes from start to finish, businesses risk losing time, money, and ROI from AI agents. Hence, beyond integrating AI tools, companies need the ability to seamlessly orchestrate the work between AI agents, robots, and humans.
Modern enterprises have a complex mix of automation tools, digital workflows, cloud platforms, and increasingly, AI agents. While they all promise to make things easier and better, these systems often pile up like mismatched Lego bricks, which ends up adding complexity.
Based on a recent IDC report, there is growing adoption of AI agents by Southeast Asian organisations, with close to nine in 10 (86%) expected to use AI agents within the next 12 months. Many companies are already utilising AI agents for specific tasks, such as automating support ticket management and handling contracts. While this approach can deliver some quick wins, it leaves a lot of value on the table because it fails to address many of the root inefficiencies that are built into processes.
