Building AI-Native Orgs
Learn more about the HyperTrail platform and discover how it transforms business operations and customer experience across industries.
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AI Agents - The Buzzword of 2025
Let’s be frank about agentic AI in the enterprise, especially within sectors like travel — it’s the buzzword of 2025. Boardrooms are pushing for its implementation, eager to see the transformative business value it promises. This puts CIOs and tech leaders in a tight spot. They’re tasked with deploying a groundbreaking, yet unpredictable, technology that hasn’t been tested at the sheer scale their operations demand — think thousands of transactions per second in reservation systems or handling massive web traffic. Simultaneously, they must maintain ironclad security, safety, and operational reliability, especially given the recent high-profile outages and security incidents that have plagued the travel industry. Delivering transformative outcomes with such a nascent technology while upholding operational excellence is a monumental challenge.
Consider the perspective of a technology executive in a major travel company. Faced with a constantly evolving landscape of new AI frameworks and companies emerging almost daily, there’s a temptation to dedicate valuable team resources to experimentation. However, a quick reality check reveals that the majority of current agentic AI technology is geared towards personal productivity — the agent sitting alongside an individual user to automate desktop tasks.
The true potential of agentic AI to revolutionize how travel and consumer brands manage operations and customer interactions lies in agents operating in real-time, directly engaging with customers and making autonomous decisions and taking actions. This is the transformative promise that holds the most significant potential. But how can a technology leader in a critical, customer-facing industry like travel unlock this value while safeguarding the operational stability and resilience they’ve painstakingly built over decades?
This is precisely why we believe that many agentic AI initiatives venturing beyond personal productivity within the enterprise are likely to falter. The existing technology landscape hasn’t been architected with the mission-critical demands of large-scale businesses in mind, often requiring them to take on significant and unacceptable risks.
How to Approach Agentic AI
We’ve approached this challenge differently with HyperTrail. Our agentic AI platform is designed from the ground up for the complexities and scale of the travel industry. Years of collaboration with hundreds of travel and hospitality companies, coupled with deep expertise in building core industry systems like GDS and large booking platforms, have informed our design. HyperTrail is built to handle high-throughput, mission-critical transaction systems for major brands, understanding the paramount importance of reliability and reputation.
Our fundamental principle is to inject agentic AI-driven decisions into these critical operations in a way that delivers tangible value now, not in some distant future. To achieve this, we’ve built a high-velocity event bus that allows for the intelligent routing of real-time events — bookings, loyalty interactions, and more — through high-performance data stores and agentic behaviors. Crucially, HyperTrail provides granular control over traffic allocation to specific agent instances, along with robust monitoring and tracing capabilities to ensure predictable and reliable operation. Furthermore, our generative connectors streamline the integration between this event platform and the complex, often legacy, systems prevalent in the travel industry, leveraging scalable, cloud-native infrastructure for deployment.
As we continue to develop HyperTrail, we are uncovering more and more nuanced requirements that are fundamental for deploying agentic AI at the scale of the world’s largest travel brands. A key reason why many initiatives stumble is the failure to address the foundational “iceberg” — the critical need for a secure, reliable, and scalable technical foundation before layering AI on top. Without this robust base, ensuring positive and predictable impacts on customer operations becomes a significant gamble.
HyperTrail is designed to handle this foundational layer, potentially saving travel companies thousands of engineering hours by addressing these core complexities as a first-class citizen. Our focus isn’t on creating yet another generic agentic workflow system. Instead, we started with the realities of large-scale infrastructure — the high data volumes and mission-critical systems processing transactions at rates where downtime can have severe business consequences. We’ve augmented this robust foundation with generative AI capabilities to enhance operations through intelligent decision-making, without requiring a complete overhaul of existing systems. Trying to re-architect your entire operation to fit today’s agentic AI vision is a risky proposition, as the technology itself is still evolving rapidly.
HyperTrail offers a way for travel brands to realize the immediate benefits of transformative agentic AI technology without exposing their customer experience or operational readiness to undue risk, thus meeting the demands of company boards eager to leverage this potentially disruptive technology.
Furthermore, recognizing the inherent unpredictability and non-deterministic nature of AI, we’ve built HyperTrail with tools to help travel brands evaluate and predict the quality of language model responses in a business-specific context. While generic AI benchmarks exist, they don’t assess a model’s ability to achieve specific business outcomes within a particular industry. HyperTrail’s evaluation Framework allows you to evaluate language models on real-world tasks relevant to your business — interacting with loyalty systems or other enterprise platforms — using prompts tailored to specific customer profiles. This allows you to predict the quality and cost of agentic AI workflows at scale.
Our initial research into the cost of applying even the most advanced language models to high-volume travel operations, like processing every booking for personalization, revealed it to be financially prohibitive for most brands. However, as token costs decrease and more efficient models emerge, companies will need to adapt quickly. HyperTrail’s evaluation framework allows you to test cheaper models against your specific use cases, ensuring they deliver comparable results to more expensive options, potentially unlocking significant cost savings. We’ve even designed our pricing model to pass through the direct cost of tokens from providers like AWS Bedrock, ensuring you directly benefit from future cost reductions in the underlying AI technology.
In summary, we believe many agentic AI proofs-of-concept fail outside of personal productivity in the enterprise because:
- Your data isn’t structured for effective agent utilization.
- Your systems are complex and difficult for agents to interface with.
- Sophisticated monitoring is lacking to understand agent reasoning and behavior.
- Cost and capabilities are volatile, potentially rendering current architectures obsolete.
- Internal teams lack deep understanding of how this technology applies to their specific business needs.
HyperTrail is built to address these challenges, allowing travel brands to leverage the power of agentic AI today without taking disproportionate risks, and to meet the growing demand for this transformative technology.
