Navan at RAISE Summit 2026: Key Takeaways

The RAISE Summit 2026, held in Paris from July 8–9, brought together the vanguard of the world’s technology ecosystem — from infrastructure pioneers like NVIDIA to data layer giants like MongoDB. As the sole travel and expense management provider speaking at the event, Navan participated directly in the dialog shaping the future of enterprise software.

Across two days of panels, fireside chats, and technical deep dives, the overarching theme was clear: The tech industry has moved past the initial hype cycle of generative AI. The mandate for 2026 and beyond is to deliver real, measurable economic impact through autonomous systems.

Here are the key macro trends from the summit, and how Navan is matching this innovative velocity within the ecosystem of corporate travel and expense.

Useful AI and Agentic Frameworks Arrive

Technology leaders across the board emphasized that simple chatbots are no longer sufficient for enterprise workflows. NVIDIA representatives highlighted a massive spike in the adoption of agentic AI over the final weeks of 2025 and early 2026, declaring that useful AI has arrived as a true force multiplier.

In an enterprise setup, an agent is defined as a large language model wrapped in a harness of specific skills, real-time tools, and contextual memory. And companies are putting these agents to work: Software engineering platform Lovable noted that 80% of its users are focusing on building practical, monetizable tools rather than experimental projects.

This matches Navan’s core product philosophy. We don’t treat AI as a superficial, bolted-on feature. Our platform deploys a specialized team of AI agents — including an Expense Agent, Audit Agent, and Reconciliation Agent — that work in harmony to invisibly handle complex, multi-step financial tasks.

Designing for Agents as the New Buyers

Data from global payment leader Stripe reveals a distinct shift in how enterprise software is built and accessed: Since the rise of agentic architectures, new API integration activations and live agentic endpoint deployments have grown by 23%. This evolution is fundamentally changing resource consumption across SaaS platforms and developer documentation hubs. Traditional, browser-based search traffic from human developers is steadily decreasing, while direct, automated HTTP requests and programmatic documentation queries initiated by autonomous AI agents are accelerating.

Enterprise software must now be architected with the understanding that AI agents will frequently act as the buyers, buyers’ assistants, or procurement coordinators within an ecosystem. This requires highly robust API connectors, secure data streaming, and real-time fraud monitoring to mitigate free-trial abuse and transaction risks.

Navan is a prime example of this architecture in practice. By building our platform on a single, unified data core that connects travel intent directly with corporate card swipes, we’re uniquely equipped to handle this agentic future. Our infrastructure allows the platform to communicate seamlessly with external enterprise stacks, automatically mapping and verifying metadata before a transaction is finalized.

The Data Layer Is the Unsung Hero

Enterprise automation is entirely dependent on data quality. The consensus among data management leaders, including MongoDB and Bright Data, is that traditional software layouts optimized for static visual dashboards are obsolete. True automation requires a new data infrastructure built specifically for autonomous agents to read, interpret, and act upon instantly.

As software increasingly builds software, the competitive edge belongs to organizations that possess deep, vertically integrated datasets. Generalist AI models struggle with specific business context, which is why specialized, domain-specific training regimes can deliver higher accuracy and zero critical hallucinations.

In terms of T&E, fragmented point solutions lose critical context when data is passed between separate travel booking tools and expense management systems. Because Navan is a unified platform, our underlying database automatically links card transaction data to specific booking IDs and merchant invoices. This rich data layer feeds our Audit Agent, allowing it to automatically verify corporate claims and surface only the spend that truly needs attention.

Moving From Productivity to Absolute Strategic Assets

The conference panel on enterprise AI architecture surfaced a critical statistic: While 88% of organizations are experimenting with AI tools, only 5% can demonstrate a direct, positive impact on their bottom-line financial results. This gap exists because companies often deploy AI at the edge of their operations rather than integrating it into core business systems.

Enterprise leaders were urged to look strictly at hard ROI. In 2026, implementing AI should result in the creation of a distinct, long-term strategic asset. For instance, companies can achieve a clear decrease in overall purchasing budgets or an immediate reduction in back-office administrative hours.

Navan delivers that measurable financial proof. A Forrester Total Economic Impact™ study, commissioned by Navan and based on a composite organization, projected that automated expense processing saved employees an average of 24 minutes per report, and that finance teams reduced manual auditing and reconciliation efforts by 40%. In other words, the platform can help turn spend management into a strategic lever for company growth.

The RAISE Summit 2026 proved that the companies winning the AI revolution are those building practical, secure, and deeply integrated autonomous systems. Navan’s presence on the summit’s main stage reinforces our position at the absolute forefront of this transformation in the corporate travel space.

Discover how Navan can bring the power of agentic AI to your business. Schedule a demo with our team today.