Kochat Narendran, President, AFCOM AIRLINE, points to the growing usefulness of AI in shipment tracking, document processing, demand forecasting, exception detection and customer service.
Accountable AI keeps people firmly in command.
In air cargo, it can help validate operational messages, identify shipment discrepancies and anticipate resource requirements. One example is DRONA, Rooster Technologies’ aviation operations platform, which combines DronaGPT, its AI assistant, with in-house AI algorithms to help teams query operational data, identify exceptions and generate actionable insights for management.
Adoption with Governance at Its Core
Successful adoption begins with clearly defined business problems, reliable data, integration with existing systems, measurable outcomes and appropriate data governance. Businesses should also consider how AI decisions can be reviewed, audited and controlled. DRONA’s Rooster Message Transformation System (RMTS) incorporates an in-house Model Context Protocol (MCP) architecture, designed to facilitate controlled integration with external AI models, including Gemini and OpenAI, although actual protection depends on implementation, access controls and the data-sharing policies applied.
The Human Hand on the Final Decision
AI can analyse information and recommend actions, but human judgement remains essential in safety-critical situations, regulatory decisions, unusual disruptions and commercially sensitive cases. DRONA supports workflows in which authorised users review AI-generated recommendations and approve or reject proposed outcomes. In cargo claims, for instance, AI can recommend a course of action while the responsible employee retains decision-making authority. The objective is not to replace logistics professionals but to combine AI’s analytical speed and consistency with human experience and accountability. Keeping people in command is also what preserves the personal attention on which customers rely.
