What if your operations platform anticipated problems instead of waiting for your people to find them?

Airline net profit per passenger sits at approximately $7.90 — roughly the cost of a Big Mac. On that margin, a single wide-body disruption resolved reactively can cost up to $5M. Over 60% of total disruption cost is crew-driven. And 60% of AI projects fail — not because the ambition was wrong, but because the technology was layered onto systems never designed to support it.

There are two deeper problems most operations platforms don't talk about.

Every time a regulatory authority updates its FTL requirements, or a union agreement changes, airlines raise a change request. A development team translates policy into code. Operations teams wait six to eight weeks. During which the system runs on outdated rules. This is not a product gap — it is an architectural one. No amount of AI layered onto a legacy rules engine solves it.

The most experienced operations controllers in your business carry decades of pattern recognition: which disruption resolution costs least downstream, how to manage a dual-hub simultaneous IROPS, when to hold a departure and when to release it. When they leave, that knowledge leaves. And across the industry, the workforce is less experienced today than it was five years ago. 

The newest version of iFlight was built to solve both — not as features, but at the architectural foundation.

WHAT YOU WILL EXPERIENCE

Abha Dogra - Chief Product Officer, IBS Software

Julian Fish - Senior VP & Head of Aviation Operations Solutions, IBS Software

The $7.90 margin, the $28B disruption cost, and what genuinely changes when a platform is built to anticipate problems rather than respond to them.

Senior Aviation Industry Experts

What agentic operational excellence looks like from the inside — the rules problem, the knowledge problem, and what a platform that solves both changes about day-to-day operations.

IBS Software Product Team

Watch a regulatory policy document become a fully tested, deployed operational rule — without a development team, without a change request, without a single line of code. Then watch agents that sense operational state, self-initiate, and propose ranked resolutions to the human expert in the loop. And first glimpses of the brand new single pane of glass - Crew Planning Optimizers!

Julian Fish + Team

The newest version of iFlight is architecturally different from anything that existed before it — in this product or in this market.

It is not a legacy platform with AI features added. It is a platform where intelligence is the operating principle, not an addition to it. Every event triggers reasoning. Every decision is auditable. Every resolution teaches the system. And every agent operates on a single unified data truth — spanning crew planning, crew tracking, operations control, hub management, tail optimisation, and passenger connections — because agents running on fragmented data produce fragmented recommendations.

The result: a platform where the gap between a 20-year operations controller and a 2-year controller narrows dramatically from day one. Where regulatory changes are absorbed in days, not weeks. Where your best people stop chasing problems and start governing outcomes.