Maisa Digital Workers automate the complete task resolution workflow with clear, consistent, and fully transparent logic. After the process was defined in natural language, the Supply Chain Monitoring Team deployed a Digital Worker that now manages every step of the workflow from beginning to end.
The Digital Worker ingests every incoming task, reads the description, reviews images and attachments, understands supplier notes, and incorporates all available context. It then checks operational data inside the CMMS, including shipping plans, delivery records, supplier schedules, program adjustments, and buffer stock. This allows it to determine whether the issue is real, already resolved, or covered by available capacity.
Using the organization’s supply chain logic, the Digital Worker decides whether to close the task, progress it for monitoring, or escalate it with clear follow up actions. It then writes a complete explanation directly inside the task comments, detailing what was checked, what data sources were used, and why the final decision was reached. Analysts receive clarity instantly without opening any other system.
The Results
By automating the entire task evaluation process, the organization achieved transformative performance improvements. Task resolution time decreased by eighty five percent, enabling the team to move from one thousand tasks per day to more than six thousand with the same number of analysts. The team now saves between sixty seven and one hundred fifty hours every day.
The error rate decreased by more than ninety five percent, preventing production delays, supplier escalations, unnecessary expedited shipments, and penalty costs. Sub minute cycle times now provide real time visibility and a stronger and more predictable supply chain.
