Optimize cleaning activities agentic workflow
Summarize
Summary of Optimize Cleaning Activities Agentic Workflow
The Optimize Cleaning Activities agentic workflow streamlines the scheduling and management of cleaning and maintenance activities based on space utilization. It leverages AI to assess employee reservation and visitor registration data for specific office locations, determining whether cleaning is needed based on minimum and maximum utilization thresholds. If a location's utilization is below 40%, the workflow automatically deactivates cleaning requests, optimizing operations without requiring user approvals.
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Key Features
- AI Agentic Workflow: Integrates various AI agents to autonomously manage maintenance cases based on utilization data.
- Case Aggregator AI Agent: Gathers open maintenance cases based on maintenance plan criteria, considering workplace reservations to ensure effective cleaning scheduling.
- Utilization Rate AI Agent: Calculates utilization rates for maintenance cases, serving as input for optimizing cleaning schedules.
- Case Optimizer AI Agent: Analyzes and adjusts maintenance cases to maintain defined utilization thresholds, deactivating underutilized cases while ensuring minimum availability.
Key Outcomes
By implementing this workflow, Workplace Maintenance Managers and Administrators can efficiently optimize cleaning efforts based on actual usage, enhancing the overall workplace experience. The automations reduce manual oversight, allowing teams to focus on higher-priority tasks while maintaining cleanliness and operational efficiency.
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.