Process Maestro 

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Gustavo Vieira  Rui Fernandes  Khadija Sabiri 
Type: Consultancy / Online Tool / Software Tool
TRL: 6-7

Process Maestro is an innovative tool designed to help businesses manage, coordinate, and enhance their workflows intelligently. Its main goal is to support organizations in adapting and refining their processes in response to dynamic operational conditions. By promoting a collaborative and participatory approach, Process Maestro enables greater stakeholder involvement in decision-making, ensuring that decisions are both informed and inclusive. Built as a comprehensive solution for microservice orchestration, Process Maestro optimizes the efficiency, reliability, and scalability of complex industrial processes. It empowers companies to rapidly adjust to changes, improve operational resilience, and maintain competitiveness in fast-evolving technological landscapes. In essence, Process Maestro provides an intelligent coordination layer that refines workflows, increases efficiency, and strengthens decision-making through enhanced stakeholder participation — advancing the vision of human-centric and adaptive Industry 5.0 systems.

IPR / Licence

IP: Copyright

License: Open source

Contact Person

Khadija Sabiri

Information

More information is provided in: FAIRWork Webinars

FAIRWork Deliverables

Scientific Publications

  • Zeiner, H., Paletta, L., Vieira, G. (2025). The Algorithmic Fairness Challenge in Decision-Making. In: Lucas Paletta (eds) Cognitive Computing and Internet of Things. AHFE (2025) International Conference. AHFE Open Access, vol 165. AHFE International, USA. http://doi.org/10.54941/ahfe1006103
  • Vieira, G., Zeiner, H., Paletta, L., Fernandes, R., Rosse, H., Sabiri, K., Paz, J., Barbosa, J. (2025). Fairness in Designing Decision-Making Processes with Multi-Agent Systems and Human Factors. In: Lucas Paletta (eds) Cognitive Computing and Internet of Things. AHFE (2025) International Conference. AHFE Open Access, vol 165. AHFE International, USA. http://doi.org/10.54941/ahfe1006102
  • Nasuta, A., Cisi, A., Olbrych, S., Vieira, G., Fernandes, R., Paletta, L., Mayr, M., Chevuri, R., Woitsch, R., Zhou, H. A., Abdelrazeq, A., Schmitt, R. H. (2025). Optimizing Fairness in Production Planning: A Human-Centric Approach to Machine and Workforce Allocation. arXiv preprint arXiv:2510.01094. https://arxiv.org/abs/2510.01094

Use

For access to a live demo of the services, reach out to our designated contact person—we’re excited to help you get started!

Ethical Watchdog

The Ethical Watchdog Agent is a decision-support tool developed to ensure that resource allocation and task assignments in industrial settings comply with established ethical principles.

It continuously monitors allocation outcomes, verifying that decisions align with predefined ethical guidelines. This proactive mechanism helps identify potential ethical issues early, before they escalate into significant problems.

When the system detects a deviation from ethical criteria, it automatically alerts the decision-maker, signalling that some parameters may have exceeded acceptable thresholds. This early warning system enables rapid review and correction of decisions that could lead to unfair or unethical results.

Following an alert, the decision-maker can trigger a renegotiation process through the Multi-Agent System. In this phase, the allocation is recalibrated by considering both performance indicators and ethical constraints. This iterative negotiation ensures that the final decision achieves a balance between operational efficiency and ethical compliance. By integrating the Ethical Watchdog Agent into daily operations, organizations gain a balanced approach that unites efficiency with ethical oversight.

Beyond its technical function, the tool enhances accountability, transparency, and trust, aligning industrial decision-making with human-centric and societal values.

A demonstration video illustrates the operation of the Ethical Watchdog in a worker allocation to production lines scenario.

Truck Loading Service

The Truck Loading Service is a decision-support tool developed to optimize how containers are loaded onto trucks, ensuring better space utilization and reduced transport costs. By matching container dimensions with available truck capacities, the service automatically proposes efficient loading strategies for each shipment.

The service represents a step forward in transforming a traditionally manual, experience-based task into a data-driven decision process. Built upon principles of bin-packing optimization, the system balances computational efficiency with real-world practicality, adapting dynamically to shipment size and logistical constraints. It also enables the detection of inefficiencies – such as underutilized trucks – allowing users to make proactive logistics decisions based on that insight.

A demonstration video illustrates the service in operation, by walking through a real-world scenario like sample order.