Augmented Decision Making

Augmented Decision Making

Augmented Decision Making (ADM) is an AI solution designed to support the management of daily operations. By using AI for simulations and real-time data-driven recommendations, organizations can respond effectively to changes and unexpected situations. It enables better utilization of existing asset capacity and increases workforce productivity—without requiring additional investment.

Applications in Aviation and Ports

The founding team of Transformers Group hails from Schiphol and is developing an Augmented Decision Making platform applicable to related sectors such as aviation, ports, and logistics. These sectors share many characteristics: operations revolve around orchestrating complex ecosystems, and infrastructure is a key component. Any change impacts multiple stakeholders with differing interests.

AI Agents and Algorithms

The ADM platform’s user interface is customized per module to suit different sectors. For example, the port solution provides insights into AIS, vessel information, and quay walls, while the aviation module focuses on gates, passenger volumes, and baggage planning. AI features—like the AI Agent for ChatGPT-style conversations and optimization algorithms—are generically applicable across all operations.

No Plan Survives Contact with the Enemy!

This well-known military saying is the daily reality of operations. It’s the day when a plan collides with weather, delays, early arrivals, staff shortages, broken equipment, and other unpredictable exceptions. Sticking to the original plan is rarely an option. The real challenge? Adjusting operations in real time without losing control.

The Complexity of Day-to-Day Operations

Operational challenges in aviation, ports, and logistics are defined by same-day changes. At large hub airports, it’s not unusual for 50% of scheduled operations to experience one or more changes. Most decisions are made by experienced planners and coordinators—people who quickly adapt to dynamic situations, balance competing interests, and make smart, often intuitive decisions under pressure. These decisions are hard to codify and even harder to predict. Traditional automation often falls short—it can’t handle uncertainty, exceptions, or nuances at the speed real operations demand.

Augmented Decision Making – Human-AI Collaboration

The future of operational planning isn’t about full autonomy—it’s about smarter collaboration between humans and AI. A system that enables data-driven decisions, near real-time event handling, and scenario simulations in seconds. That’s the essence of Augmented Decision Making. Because in an operational context, it’s not just about the plan you had. It’s about how fast and wisely you can adapt.

Fixed Capacity – More Output

With ADM, you can achieve more with existing capacity—both assets and personnel—by reducing wait times, preventing conflicts, and boosting productivity. This is especially valuable in sectors where capacity is fixed or where expansion is a slow process. Take airports, for example: building new gates within a year may be unfeasible, but using the existing gates more efficiently is entirely possible. Bytes over bricks.

Expansion in the European Market

Initial pilots are currently underway, and various conversations with international airports are ongoing. The team is working hard on further platform development, with the goal of scaling to multiple operations.

For more information, visit www.wearetransformers.nl or book a demo via the website to explore how ADM can support your organization!

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