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Air India

Customer Service Automation · Enterprise Knowledge Search · IT Operations Automation

To set the groundwork for its five-year growth plan, Air India wanted to take advantage of advanced technology to stay ahead, continuing to concentrate on revenue drivers such as customer satisfaction, route relevance, and service quality.

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An early adopter of Microsoft Copilot for Microsoft 365 , Air India was already exploring the power of AI in nearly every aspect of its business.
At the heart of the airline’s vision is a transformative technological journey, most recently marked by the incorporation of Microsoft Copilot for Microsoft 365 into multiple departments.
In January 2022, the Tata Group reacquired Air India, heralding a significant transformation, termed by The Economist as ”the Everest of corporate turnarounds.” As one of the world’s number-one growth markets, Air India currently operates 130-plus aircraft.
In this highly competitive industry, success hinges on balancing revenue generation with operational efficiency.

Reported impact

Business outcome

Streamlining operational efficiency with the power of AI As Air India employees began using Copilot for their day-to-day activities and tasks—from email prioritization and scheduling to procurement, recruiting, and request for proposal (RFP) work—the airline’s leadership ensured adoption by encouraging employees to test it out and consider all different sorts of use cases.

  • Cost Reduction
  • Customer Experience
  • Productivity Improvement
  • Revenue Growth

Solution

With a remarkable 90-year history, Air India is not only the flag carrier of India, but a symbol of the country’s aviation excellence and technological prowess. To set the groundwork for its five-year growth plan, Air India wanted to take advantage of advanced technology to stay ahead, continuing to concentrate on revenue drivers such as customer satisfaction, route relevance, and service quality. At the heart of the airline’s vision is a transformative technological journey, most recently marked by the incorporation of Microsoft Copilot for Microsoft 365 into multiple departments. Streamlining operational efficiency with the power of AI As Air India employees began using Copilot for their day-to-day activities and tasks—from email prioritization and scheduling to procurement, recruiting, and request for proposal (RFP) work—the airline’s leadership ensured adoption by encouraging employees to test it out and consider all different sorts of use cases.

Solution architecture

3 components · 2 layers
  1. Compute
    • Microsoft Copilot for Microsoft 365 Provides the generative AI assistant inside Microsoft 365 workflows for employees.
  2. Serving
    • Microsoft Teams Serves as the collaboration and frontline communications surface for the solution.
    • Power BI Delivers dashboards and visualization for business users and decision makers.

Architecture clues

  • AI helps airlines make sense of the massive amount of data coming our way.” With a goal of enhancing user experience with more accessible, on-demand insights integrated directly into its workflow, Air India understands the importance of fusing technology and insight into its operations.
  • At the heart of the airline’s vision is a transformative technological journey, most recently marked by the incorporation of Microsoft Copilot for Microsoft 365 into multiple departments.
  • Collaborating with Microsoft, the airline provides tailored training for each department to optimize Copilot usage, aiming for seamless incorporation into its workflow.
  • Notable is how Air India is weaving AI and Copilot into its operations with a custom-built plugin for Copilot in Microsoft Teams.
  • With the ability to converse with AI in Microsoft Teams, the Copilot plugin not only provides critical data on flight punctuality and operational hurdles, but also empowers proactive, collaborative decision making.

Evidence from the source

At the heart of the airline’s vision is a transformative technological journey, most recently marked by the incorporation of Microsoft Copilot for Microsoft 365 into multiple departments.
Notable is how Air India is weaving AI and Copilot into its operations with a custom-built plugin for Copilot in Microsoft Teams.
Streamlining operational efficiency with the power of AI As Air India employees began using Copilot for their day-to-day activities and tasks—from email prioritization and scheduling to procurement, recruiting, and request for proposal (RFP) work—the airline’s leadership ensured adoption by encouraging employees to test it out and consider all different sorts of use cases.
To set the groundwork for its five-year growth plan, Air India wanted to take advantage of advanced technology to stay ahead, continuing to concentrate on revenue drivers such as customer satisfaction, route relevance, and service quality.
Transparency Evidence & methodology 65/100 reference value · 85% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value65/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth15/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact0/25
    0 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence85%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    4 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity6/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Microsoft

    Air India customer story

    First-party
    https://www.microsoft.com/en/customers/story/1750059518785857549-airindia-microsoft-teams-travel-and-transportation-en-india
    Source type
    Vendor-published customer story
    Published
    Mar 22, 2024
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

  • Published on source page Mar 22, 2024 · Microsoft · First-party
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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