We help coordinate the movement of goods, vehicles, and people so plans are clearer, more consistent, and less time-consuming to maintain.
Multi-Agent Orchestration (MAO) is a new field of AI focused on solving complex planning and scheduling problems across the supply chain. It brings together fleets of assets, whether human-operated, semi-autonomous, or fully autonomous, and coordinates their actions to work efficiently as one system. A MAO engine understands the capabilities of every asset, matches them to the right tasks, and finds the most effective, low-cost way to get the job done while considering real-world factors such as time, capacity, and safety. The result is a smarter, more adaptive operation that reduces waste, improves utilisation, and helps teams respond in real time when conditions change.
As operations become more complex, coordinating people, equipment, and systems becomes increasingly important. Without effective coordination, work is often planned in isolation, leading to duplicated effort, inconsistencies, and avoidable errors that make operations harder to scale and manage.
In practical terms, “agents” can be anything involved in your operation - trucks in a transport fleet, forklifts in a warehouse, or automated equipment, such as robots, if relevant. As these numbers grow, planning takes longer, small mistakes have a bigger impact, and the risk of disruption increases. Multi-agent orchestration helps manage this complexity by improving how work is planned, coordinated, and synchronised, reducing one of the most common pressure points in supply chain operations.
Accelerates Planning
Can deliver optimal plans in under 1 second
Maximises Resources
Reduces operational costs by up to 70%
Ensures Precision
Decreases errors by 83%, minimising operational risk
Empowers Decisions
Builds confidence through real-time data-driven insights
Adapts Continuously
Responds instantly to changing conditions
* Figures for the MAO sector are changing regularly due to the relatively novel nature of the sector.
Our MAO solution is built to a modular, layered architecture that separates core decision intelligence from client-specific execution and interaction. As illustrated below, this architecture enables the solution to be adapted to your specific needs and requirements at scale.
"Rather than replacing human expertise, our technology is designed as a human-on-the-loop system, working with people to enhance their capabilities."
Dr Colm Flanagan
Founder & Managing Director @HIROCO
We recently conducted a case study for an Australian government department, using our MAO tech to evaluate the public transport network in a specific city resulting in.
-70%
Lowered total operating costs
35min to 12min
Reduced the average trip duration from
