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Policy and auditing keep digital-first enterprises in check, while ensuring compliance with global norms. Although these processes can be taxing; the travel and logistics industry is eager to adopt AI. These new technologies help meet the growing demands of the industry, adapt to trends, and mitigate industry concerns.

Despite being a thriving industry, the airline industry struggles due to defunct platforms that are manual and based on a specific set of rules. For example, flight crew expenses are audited manually. Human error and time pressure lead to overlooked discrepancies and inefficiencies. Traditional systems cannot manage the data volumes modern airlines generate. AI can establish a robust data foundation for operational enhancements.

Modernization is essential for better operations.

Advancing Beyond Traditional Compliance Models

A top U.S. airline collaborated with Infogain to develop an AI-powered, multi-agent system that modernizes travel and expense compliance. This replaced static rules with scalable, automated policy management and financial review.

The rollout included:

  1. Assessment and Planning: Evaluate current systems and set AI requirements.
  2. System Integration: Deploy AI and connect with current processes.
  3. Testing and Validation: Run pilots to confirm accuracy and reliability.
  4. Full Deployment: Launch the system companywide and train staff.
  5. Continuous Improvement: Refine AI models regularly to meet new compliance needs.

Cloud-Native Data Intelligence Platform: The Role of Databricks

Databricks delivers a cloud-based platform that unifies organizational data, removing silos, and creating a single reliable data source.

The platform combines data engineering, analytics, and AI in an open architecture.

A transformative platform with key capabilities that include:

  • Centralized data governance and lineage using Unity Catalog
  • Reliable, open-format storage at scale using Delta Lake
  • Native support for large-scale ETL and analytics workloads
  • AI-driven orchestration with Agent Bricks for policy and financial workflows

These features establish a scalable and reliable foundation for intelligent compliance.

AI-Driven, Agent-Led Compliance Architecture

With Databricks, Infogain built a three-agent AI system, Agent Bricks, to automate compliance.

  • Policy-to-SQL AI Agent
    The Policy-to-SQL agent converts travel and expense policies into SQL queries, applies them to transactions, and identifies any violations.
  • Reasoning AI Agent
    This agent uses context and logic to refine rules, spot patterns, and interpret policies with near-human insight.
  • Financial Expert AI Agent
    This agent uses financial expertise to validate exceptions and spot high-impact new rules.

Together, these agents transform compliance into a system that continually learns and adapts. Audit processes shift from reactive to proactive, providing insights. To ensure governance and risk management, human oversight is built into the automated system.

Demonstrated Business Impact

Within twelve months, the AI framework flagged approximately 256,000 exceptions, accounting for 12 percent of transactions.

  • The system identified over $30 million in exceptions, a significant increase from the $7 million detected with legacy methods.
  • Audit efficiency increased by about 50 percent, significantly reducing manual reviews.
  • The platform ensures full transparency and data lineage, boosting regulatory confidence.

The Value of Partnering with Databricks and Infogain: An AI-First Framework for Compliance

Modernizing compliance is complex. Selecting the right partner is critical. Infogain’s artificial intelligence-first approach builds intelligence into workflows. Agent-led automation accelerates results while maintaining governance and trust.

By combining Databricks with Infogain’s AI expertise, enterprises are ensured of a predictable, scalable, and transparent compliance transformation.

Initiating the Compliance Modernization Journey

Modernizing compliance is challenging. The right platform, architecture, and partnerships can create a strategic advantage. AI-driven, agent-led systems help reduce risk, improve efficiency, and enable scalability.

Organizations must modernize compliance to strengthen governance and boost operational confidence with Infogain. Write to us at info@infogain.com or visit us here

Reference(s):

https://www.databricks.com/solutions/ai-agents

https://www.mckinsey.com/industries/travel/our-insights/remapping-travel-with-agentic-ai

https://youtu.be/r99iLbS2yXM?si=6C8z4NsSNAL-wo5h

About the Author

Sriraj Srinivasan

Sriraj Srinivasan, PhD

Sriraj Srinivasan has 22+ years of experience leading customer innovation and growth by enabling Data and AI/Gen AI solutions, driving value transformation, and executing M&As across technology, retail, CPG, manufacturing and healthcare industry verticals.

Chetan Deshpande

Chetan Deshpande is the Vice President and Head of Sales for the Data & AI studio at Infogain, leading new logo acquisition and growth, closely partnering with Databricks and Google Cloud (strategic partners) for Data & AI Studio. He brings over 20+ years of industry and consulting experience working with Data, AI and business leaders to drive AI-led business transformation to unlock business value.