Aviation’s future isn’t about faster check-ins or flashier apps. It’s about operations that think for themselves. Agentic AI is the leap from automation to autonomy: a system that rebooks, reroutes, and reallocates without waiting for human input. It is the difference between reacting to delays and preventing them. For an industry under pressure to deliver efficiency, resilience, and sustainability at once, this is the moment to turn intelligence into action.
Today, most airlines manage operational and sustainability data separately. Flight metrics such as fuel burn and load factors are tracked in real-time, while carbon reporting is generally required annually. This delay creates blind spots that make compliance harder and slow progress.
DataArt bridges this divide. With Agentic AI and the AI Lake Accelerator (AILA), airlines unify fragmented data, moving from retrospective reports to real-time action:
- Agentic AI moves beyond rule-based automation, proactively supporting goal-driven decisions while keeping humans in control.
- AILA provides the data foundation: a cloud-native environment that unifies operational and environmental data into one reliable source.
Together, they help airlines progress in three areas: sustainability, commercial performance, and operational efficiency.
Sustainability: From reports to real-time action
Under ICAO’s CORSIA framework, international airlines must report and offset emissions starting in 2027. Many carriers invest in newer fleets, Sustainable Aviation Fuel (SAF), and waste reduction. Yet SAF use remains low, accounting for less than 0.3% of total aviation fuel in 2024. Emissions tracking, meanwhile, remains fragmented and retrospective.
Real-time data changes this. One regional carrier found that 12% of its emissions came not from flying but from delays at the gate. Linking ground operations data into emissions dashboards cut turnaround fuel burn and improved punctuality.
Agentic AI goes further: forecasting contrail formation, suggesting taxi routes that minimise fuel burn, or reallocating resources to prevent delays. These steps cut carbon and cost at once.
DataArt’s experience in other sectors shows the value of real-time optimisation. A smart city platform aggregated air quality data from multiple sources and adjusted commuter routes to reduce exposure. The same principle applies in aviation: with AI, similar results to traditional optimisation methods can be achieved in a fraction of the time, dynamically optimising routes based on real-time information the AI agent receives.
Commercial growth: Personalisation meets responsibility
Aviation’s profitability hinges on ancillary revenue, loyalty programs, and differentiated experiences. At the same time, younger travellers increasingly choose carriers demonstrating climate responsibility.
Agentic AI acts as an information broker across fragmented commercial systems. By unifying reservation, sales, and loyalty data, it enables:
- Dynamic pricing that factors in both demand and route-level carbon intensity.
- Sustainability-linked rewards, such as extra points for booking SAF-backed flights.
- Real-time service recovery, providing tailored compensation or rebooking while prioritising lower-emission alternatives, such as offering SAF-backed flights or more efficient connections.
Airlines like KLM, Lufthansa, and Virgin Atlantic highlight sustainability as a differentiator in CEO messaging. Yet without integrated data, these remain ambitions, rather than outcomes. Embedding environmental signals into loyalty and sales programs helps airlines align revenue with climate goals while building trust.
Similar approaches have proven effective outside aviation. DataArt built a chatbot for a sustainability information provider that turned unstructured data into structured supply chain models. It tripled the speed of analysis, enabling better commercial decisions. Airlines can adopt similar approaches to transform fragmented loyalty and reservations data into actionable insights.
Operational efficiency: Smarter, leaner, greener
Delays increase fuel burn, crew overtime, and compensation costs, which Eurocontrol estimates to be several billion euros. In Europe, nearly one in four scheduled flights runs late.
Many airlines still depend on manual data entry and siloed IT systems, slow information flow fragments situational awareness, leading to reactive decisions.
Agentic AI can help. By analysing data across operations control, ground handling, and flight crews, it identifies disruption risks and suggests timely interventions. Airlines emphasise that AI should support, not replace, human decision-makers by accelerating awareness, forecasting disruption impacts, and reducing information overload.
Consider an airport that integrated building management data into a central sustainability lake. Predictive forecasting cuts emissions and energy costs. The same logic applies to aircraft turnaround and crew scheduling: efficiency and sustainability reinforce each other.
Why now?
Three forces make this shift urgent:
- Regulation is accelerating. CORSIA, the EU’s CSRD, and IFRS frameworks demand verifiable, near real-time reporting.
- Stakeholder expectations are rising. Investors, regulators, and passengers want measurable progress, not aspirational targets.
- Technology has matured. With accelerators like AILA, even mid-sized carriers can deploy integrated data lakes in weeks, not years.
From intention to impact
Agentic AI and AILA are not silver bullets. Success requires cultural change, integration with legacy systems, and human-AI collaboration. But the payoff is clear:
- Credible sustainability progress is traceable to source data.
- Commercial strategies that reflect climate responsibility.
- Resilient operations that cut cost and carbon together.
By 2030, airlines that embed AI into daily operations will pull decisively ahead of those that do not. The leaders of the next decade will treat sustainability as a live operational discipline, not a side report.
At the World Aviation Festival 2025, on October 7, DataArt experts will share how Agentic AI and AILA help carriers turn sustainability ambition into operational impact. With over 25 years of engineering experience and a culture of radical respect, DataArt partners with airlines, airports, MROs, and service providers to build advanced, resilient solutions tailored to aviation realities.
The time to act is now on every route, flight, and decision.
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