Ada's Breakout Year: Agentic AI Transforms Enterprise Customer Service

TORONTO, ON – March 03, 2026 – AI-native customer experience company Ada has announced more than 100% year-over-year revenue growth, a figure that analysts suggest marks a critical inflection point for the enterprise AI market. The company’s performance, underpinned by a 146% Net Revenue Retention (NRR), signals a decisive industry-wide shift from isolated AI experiments to the full implementation of sophisticated, agentic AI operating models.

Ada's NRR figure is particularly noteworthy, significantly outperforming the B2B AI industry median of approximately 106% and placing it firmly in the top tier of SaaS performers. This, combined with 108% growth in agentic AI annual recurring revenue (ARR) and exponential growth in accounts spending over $1 million, demonstrates not only an ability to attract new enterprise clients but also to expand deeply within them. The results validate the company's strategic pivot two years ago from scripted chatbots to a comprehensive platform built around its Agentic Customer Experience (ACX) Operating Model.

This model combines technology with a proven AI implementation blueprint, enabling enterprises to build and manage AI agents that can reason, make decisions, and handle complex, multi-step customer journeys autonomously. Since its founding in 2016, Ada has deployed over 550 of these enterprise AI agents, which have managed a staggering 6.4 billion interactions.

From Experiment to Operating Model: The Agentic AI Shift

The market's appetite for more than just simple automation is clear. Enterprises are moving away from fragmented tools and toward holistic strategies that fundamentally reshape their service operations. "Customer experience is undergoing a fundamental shift — moving away from fragmented automation experiments toward fully agentic operations," said Mike Murchison, CEO of Ada, in a statement. "Our year-over-year growth is proof that enterprises are ready to embrace a new operating model."

This transition is delivering tangible results for global brands. Cebu Pacific, the Philippines' largest airline, has become a key case study for the power of the ACX model. By deploying Ada's AI agent across 11 languages, the airline has successfully resolved 75% of customer interactions autonomously. More impressively, this high level of automation has been coupled with a 50% increase in customer satisfaction scores, defying the common assumption that automation must come at the expense of customer sentiment.

"Partnering with Ada allows us to set a new benchmark in customer service, leveraging AI to better serve our passengers," noted Candice Lyog, Chief Marketing and Customer Officer with Cebu Pacific. This success illustrates a core principle of agentic AI: to handle a high volume of complex inquiries with precision while freeing human agents to focus on the most sensitive and valuable customer interactions.

The New Voice of Customer Service

While digital chat has been the primary frontier for AI in customer service, Ada’s recent growth has been supercharged by its advancements in voice technology. The company reported a remarkable 12x growth in agentic Voice ARR, validating strong enterprise demand for a channel that has historically been the most challenging to transform.

"Voice has always been the hardest channel to transform," explained Brian Gilman, VP of Customer Support at Branch, a fast-growing fintech and Ada client. "Our AI agents can now reason through complex, high-stakes voice conversations with the same intelligence that powers our digital channels. That means faster, more accurate support when our users need it most.”

Ada’s platform now extends its powerful reasoning capabilities to deliver natural-sounding voice interactions with minimal latency. This allows AI agents to manage long and complex inquiries that were previously the exclusive domain of human agents, from processing intricate financial transactions to managing detailed travel itineraries. The adoption of this technology by leading brands like Ancestry and Digicel further signals that high-functioning voice AI is no longer a future concept but a present-day reality.

Building a Global Framework of Trust

Ada's financial success is mirrored by its rapid global expansion. The company has more than doubled its international business, prompting the opening of new offices in London and Singapore to support a growing roster of global clients including Sky, Malaysia Airlines, and Monday.com. However, scaling AI on a global level requires more than just advanced technology; it demands a robust foundation of trust and security.

Recognizing this, Ada has significantly expanded its enterprise trust framework. The company recently achieved AIUC-1 (AI User Controls) and PCI (Payment Card Industry) certifications, adding to its existing compliance with SOC 2, GDPR, and HIPAA. This comprehensive security posture is a critical differentiator, providing large enterprises with the confidence to deploy AI in regulated industries and handle sensitive customer data at scale. These certifications are not merely badges but are becoming table stakes for any AI vendor seeking to partner with major global corporations.

Engineering the Future of Enterprise AI

Powering this growth is a continued investment in the platform's core intelligence. Ada recently launched a unified Reasoning Engine, a significant architectural advancement that enables its AI agents to orchestrate complex workflows and perform consistently at enterprise scale. This engine enhances the AI's ability to understand context, manage multi-turn conversations, and execute tasks across various systems.

A strategic partnership with Medallia, a leader in customer experience analytics, further amplifies this capability. By combining Medallia's deep omnichannel customer and operational intelligence with Ada's real-time agentic capabilities, the collaboration aims to create a powerful feedback loop where AI performance is continuously measured and improved based on real-world outcomes.

This commitment to building an enterprise-grade, trusted AI ecosystem is backed by a strong financial history, including $200 million in total funding and a $1.2 billion valuation achieved in 2021. "We’re only at the beginning of this AI transformation, yet the potential is already undeniable," stated Cara Renfroe, SVP of Global Operations for Blackhawk Network. As enterprises increasingly move beyond simple automation, the race to adopt comprehensive, agentic AI operating models is officially underway.