AI-Powered Optimised Multi-Agent Orchestration Platform
MAO
AI that finds the smartest way to move things from A to B
Making planning and scheduling easier to manage.
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 represents on the most significant technologies for the supply chain sector. With an estimated $2.3 trillion lost globally each year due to planning inefficiencies, there is a clear need for better coordination and decision-making. At Hiroco, we focus on building practical solutions that help reduce waste, improve coordination, and support better outcomes for our clients."
Dr Colm Flanagan
Founder of HI•RO•CO
Multi Agent Orchestration
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.
Real-time Planning
Autonomously supports planning tasks that involve multiple steps, constraints, and dependencies, helping teams manage complexity without manual effort
Seamless adaptation
When plans are affected by delays, changes, or unexpected events, the system can update schedules to help minimise disruption.
Configured around your priorities
Every operation is different. The system can be set up to reflect your specific constraints, priorities, and operating preferences.
MAO Benefits
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.
What We Do
Our approach to multi-agent orchestration helps turn operational data into coordinated plans that reflect how work actually happens. Instead of simply executing predefined steps, the system considers how multiple resources interact and need to be sequenced over time.
The result is planning that is easier to manage, easier to adjust, and better suited to complex, real-world operations.
MAO-AI Solutions
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.
MARTAS
Planner
Multi-Agent Resource Task Allocation System: The Planning Engine & Task Allocator that transforms your operational data into optimized resource allocation plans. It continuously adapts to changing conditions, ensuring your resources are always deployed for maximum impact.
MARPAD
Executor
Multi-Agent Resource Plan Action Dispatcher: The Dispatcher & Execution Hub that turns optimised plans into coordinated action. It intelligently manages task distribution and monitoring, ensuring seamless operational flow while maintaining flexibility for real-time adjustments.
MARIA
EcoSystem
Multi-Agent Resource Intelligence Architecture: A comprehensive solution, unifying AI-powered planning and dispatch that provides complete operational control with unparalleled visibility through intuitive tools, security, interfacing and robust integration capabilities.
Why We Do It
"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
Case Studies
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
