Air India: a customer assistant in service, flight-efficiency savings still projected
Air India's Maharaja assistant is an established generative-AI service. Its OptiFlight and weather deployment has a defined fleet scope, but the published fuel and emissions figures are expectations rather than completed savings.
The operating picture
Answering a passenger and preparing a climb
Air India aircraft. Photograph: Md Shaifuzzaman Ayon / CC BY-SA 4.0 (cropped to fit). Illustrates the airline, not an AI deployment.
Customer questions are frequent and unevenly distributed. Air India introduced Maharaja in 2023, reporting early volume across many topics and four languages.
Flight efficiency has a different operating horizon. In September 2025 Air India said SITA OptiFlight climb optimisation and eWAS weather tools were active on its A320 and Air India Express 737 fleets, with wider-body expansion still to come. The claimed annual fuel benefit is a forecast.
Selected implementations
The work behind the evidence
01 / Deployed
Maharaja handles the airline's routine questions
The operational problem
A passenger needs an accurate answer about a booking or service, with escalation when the request cannot be safely resolved.
What the evidence reports
November 2023 reporting put Maharaja's cumulative handling above 500,000 enquiries after its March launch and said most of roughly 6,000 daily questions received rapid answers.
Operational significance
Volume establishes early adoption, not the correctness of an individual answer or the outcome of a difficult case.
Evidence still needed
The figures are historical, with no independently verified resolution quality or current operating rate.
Optimising climb performance and access to weather
The operational problem
A flight crew and dispatcher need useful weather information and fuel-efficient operating guidance within safety constraints.
What the evidence reports
Air India's September 2025 release described OptiFlight climb and eWAS use on A320 and Air India Express 737 fleets, with expected annual savings of about 11,100 tonnes of fuel.
Operational significance
Fleet-level coverage is a concrete implementation statement from the airline.
Evidence still needed
The annual savings and emissions figures were projected, not verified results; the specific AI component of eWAS should not be assumed.
Other records are shown separately, including non-AI technology and programmes at different stages of deployment. A register entry does not establish a measured AI benefit.
No other publicly listed records.
Editorial assessment
Air India has two recognisable tasks rather than one organisation-wide AI claim: serving customer enquiries and supporting flight efficiency.
The next editorial update should distinguish completed customer requests from simple responses, and measured fuel outcomes from launch projections.
Live data from the Aerostack register. Status reflects published evidence only. See Our approach for how records are graded.
Aerostack register · 2 tracked deployments
Aerostack tracks AI deployments across airports and airlines, with the published evidence behind each record. Photography is real aviation imagery. Record thumbnails may show the named airport or airline; other photographs do not.
