“The AI agent can integrate and aggregate the data of all these systems, providing a unified view to identify the bottlenecks, send proactive alerts on delays and help with reconciliation tasks,” explains Iragavarapu. The agent acts as a bridge between the teams to provide more fluid work flows and decision-making, she said.
When the processes cover several teams or departments and require significant coordination, they can benefit from the capacity of AI to act as a orchestrator, says Srivastava. ASANA agents can suggest optimal workflows and guarantee responsibility by following the team’s progress. “This guarantees that work is aligned with objectives and reduces the risk of poor communication or missed deadlines,” he said.
3. AGREGATION OF Automation through several repetitive stages
“The processes that involve routine and repetitive actions, such as data entry, task allocation or generation of reports, are ripe for (agentic) AI,” explains Srivastava. “These tasks often consume an important time for employees, but do not require deep creative or strategic reflection. The agentic AI can automate these workflows, allowing employees to focus on greater value activities. »»