Optimize cleaning activities agentic workflow
Summarize
Summary of Optimize Cleaning Activities Agentic Workflow
The Optimize Cleaning Activities Agentic Workflow helps Workplace teams manage cleaning and maintenance schedules by utilizing space utilization data. It autonomously schedules cleaning based on employee reservations and visitor registrations, ensuring that maintenance requests are activated or deactivated based on minimum and maximum utilization thresholds. If a location's utilization falls below 40%, the workflow deactivates cleaning requests to optimize resources.
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Key Features
- AI Agents: The workflow utilizes a team of AI agents to optimize maintenance cases based on utilization thresholds.
- Case Aggregator AI Agent: Gathers open maintenance cases based on maintenance plan ID and checks relevant criteria like upcoming schedules and workplace reservations.
- Utilization Rate AI Agent: Calculates the utilization rate for maintenance cases, allowing for informed optimization decisions.
- Case Optimizer AI Agent: Analyzes and optimizes maintenance cases to ensure resources are effectively utilized, creating cases when demand is high and deactivating them when low.
Key Outcomes
By implementing this workflow, ServiceNow customers can expect an efficient cleaning and maintenance management process that enhances workplace utilization and employee experience. The system operates autonomously, reducing the need for manual intervention while ensuring that cleaning schedules align with actual usage, thereby improving overall workplace effectiveness.
This team of workplace agents can find open maintenance cases and optimize it for workplace maintenance activities. These agents can optimize a maintenance case based on the utilization rate of a location for which a maintenance case is created.
Optimize cleaning activities agentic workflow overview
This AI agentic workflow enables Workplace teams to schedule and manage cleaning and other maintenance schedules based on space utilization and optimization. This agentic AI retrieves employee reservation data and visitor registration planned for a specific office location and date. It checks the minimum and maximum space utilization threshold to see if cleaning requests are required. It deactivates the cases when a location shows a minimum utilization threshold value (below 40). The agents optimize the cleaning schedule based on how workplace employees plan to use a space or location. It checks space wastage to provide the optimum workplace experience to employees. For more information, see Optimize cleaning activities agent overview.
AI agents used in optimize cleaning activities workflow
| AI agent Name | Description |
|---|---|
| Case aggregator AI agent | This agent fetches all the open maintenance cases based on the maintenance plan ID. Each workplace maintenance case represents a cleaning or a maintenance case for a location for a scheduled interval. The optimization is done
on a floor of a selected building. It fetches all the maintenance plan records that satisfy certain criteria. For example, it fetches a set of maintenance plans, and looks for cases that are open for the next 48 hours. The state of the cases should be in Draft, Ready, or Awaiting for approval. For more information, see Create and publish maintenance plans. This agent also considers workplace reservations on a floor. If a case is opened for washroom maintenance, the agent identifies the floor on which the washroom is located. It also considers the number of workplace reservations, visitor registrations, and permanent seat assignments before retrieving the space optimization threshold value. |
| Utilization rate AI agent | This agent can take a list of available maintenance cases to calculate the utilization rate for each case. This utilization rate is used to optimize the cases. It uses the Utilization rate calculator to calculate the utilization rate. |
| Case Optimizer AI agent | The Case Utilization Optimizer analyzes cases grouped by location, schedule type, and date to optimize resource utilization. It confirms cases stay within defined utilization thresholds by creating cases when utilization is too high and deactivating underutilized cases. |
Case Optimizer AI Agent
The Case Optimizer AI Agent analyzes cases grouped by location, schedule type, and date to optimize resource utilization. It verifies that maintenance cases stay within the defined utilization thresholds. It creates maintenance cases when the utilization threshold is too high. When the utilization threshold is low, it deactivates the maintenance cases for underutilized floors. While deactivating a maintenance case, this agent ensures minimum case availability for each maintenance schedule group. It retains at least one maintenance case before deactivating all underutilized maintenance cases. The output from the Utilization rate AI agent is given as input to this agent for space optimization.
Case Aggregator AI Agent
This agent gets all open maintenance cases based on the maintenance plan Id. Each workplace maintenance case represents a cleaning or a maintenance case on a location for a certain time interval, also known as schedule. This agent fetches the open maintenance cases (maintenance plan record IDs) in the maintenance management system.
Utilization rate AI Agent
This agent can take a list of maintenance cases available and calculate the utilization rate of each case. This utilization rate is used to optimize the cases. This agent takes a list of maintenance cases as input and calculates the utilization rate for locations for a given schedule.