ASAPP Taps McKinsey Veteran to Scale ‘Real Results’ in AI Customer Service

NEW YORK, NY – June 30, 2026 – In a move signaling a sharp focus on enterprise-scale execution, AI-driven customer experience platform ASAPP has named Somesh Khanna, a 30-year veteran of digital transformation from McKinsey & Company, as its new Chairman of the Board. The appointment is more than a leadership shuffle; it’s a strategic play to bridge the gap between the promise of artificial intelligence and the complex reality of large-scale corporate operations.

Khanna, who joined the board in February, is tasked with guiding the AI firm as it seeks to cement its position in the burgeoning agentic AI market. His perspective is rooted in a deep-seated skepticism of the enterprise software industry’s historical track record. "I've spent 30 years watching companies buy software that promised to change everything and changed very little,” said Somesh Khanna in the announcement. “The pattern is familiar: big announcements, difficult implementation, modest results. ASAPP breaks that pattern with real results, loyal customers, and a consistent roadmap. My focus as Chairman will be helping the company scale that advantage.”

Khanna’s statement cuts to the heart of a persistent challenge in enterprise tech: the chasm between hype and measurable impact. For ASAPP, which champions a vision of an "agentic enterprise" where AI agents work autonomously alongside human teams, bringing in a leader of Khanna's caliber is a deliberate effort to prove its technology is not just innovative, but fundamentally reliable and effective at scale.

The Architect of Enterprise Transformation

Somesh Khanna’s resume reads like a blueprint for modernizing legacy institutions. As a Senior Partner Emeritus at McKinsey & Company, he co-led the firm’s Global Banking & Securities practice and previously headed McKinsey Digital for Financial Services. In these roles, he was instrumental in guiding some of the world's largest financial institutions through massive digital strategy shifts, large-scale automation programs, and business model reinventions.

His influence extends across the corporate landscape. Khanna serves on the boards of financial giants KeyCorp and LPL Financial, as well as AI-powered marketing firm Persado and technology services company Apexon. This extensive network and deep experience in highly regulated, complex industries provide ASAPP with a level of enterprise credibility that is difficult to earn. His presence on the board is a powerful endorsement, signaling to potential enterprise clients that ASAPP's platform is built for the rigors of their demanding environments. One analyst noted that Khanna’s appointment validates the company's technological and commercial progress, marking its maturation from a promising startup to a serious enterprise player.

This background is critical as ASAPP navigates a market where trust and reliability are paramount. His expertise in driving large-scale change within established organizations will be invaluable as the AI firm works to integrate its platform into the intricate ecosystems of Fortune 500 companies, many of which are grappling with legacy systems and a cultural resistance to disruptive change.

Beyond Chatbots: The Rise of the Agentic Enterprise

ASAPP’s strategy is built on a concept that represents the next evolutionary step in AI: the "agentic enterprise." This is not about simple chatbots that follow rigid scripts. Instead, it envisions a collaborative workforce of human experts and autonomous AI agents that can reason, act, and learn to solve complex customer problems from end to end. The company's core technology, GenerativeAgent®, is designed to be a problem-solver, not just a content generator. It listens to customer interactions, understands intent, accesses different systems, and executes multi-step actions to resolve issues.

This vision is landing in a market ripe for disruption. The AI in Customer Experience sector is projected to swell to nearly $77 billion by 2033, and Gartner predicts that by 2027, a quarter of all enterprises will depend on AI agents for the majority of their customer interactions. ASAPP aims to be the central nervous system for this new operational model. Industry observers like Forrester have already recognized the company as an "undisputed leader in AI-led innovation," distinguishing its AI-native architecture from competitors who often bolt AI capabilities onto existing platforms.

While competitors like Five9 and NICE are also heavily investing in AI, ASAPP’s focus on a fully autonomous, governable system that orchestrates an enterprise’s existing CRM and contact center software offers a distinct value proposition. It promises to deliver intelligence without demanding a complete and costly replacement of a company's technology stack—a pragmatic approach that resonates with large organizations.

The Evidence of Impact: A Look at 'Real Results'

Khanna’s emphasis on "real results" is not just rhetoric; it’s backed by a growing portfolio of evidence from major enterprise clients. For an industry often plagued by vague promises of "efficiency gains," ASAPP has been notably transparent with its performance metrics.

A flagship case study with JetBlue showcases the tangible difference. The airline implemented ASAPP's platform and saw a fivefold increase in digital adoption, a 45% containment rate for customer issues, and saved a staggering 73,000 workforce hours in the first quarter of 2023 alone. Similarly, American Airlines reported an 11% increase in customer satisfaction (CSAT) scores within six months of deployment, with automation handling over half of all customer inquiries. Testimonials from executives at Vodafone and DISH Network further reinforce the platform's ability to deliver on its promises of speed and satisfaction.

These outcomes—reduced handle times, lower cost-per-interaction, and higher agent productivity—are the currency of the C-suite. They demonstrate that the technology translates directly to bottom-line value. However, the path to AI integration is not without its challenges. The company faces a class-action investigation related to data privacy practices in California, a reminder of the significant ethical and regulatory hurdles that all AI firms must navigate. Building and maintaining customer trust, particularly around data collection and transparency, will be as critical to ASAPP's long-term success as the performance of its algorithms.

Scaling the Advantage: The Road Ahead

With a $1.6 billion valuation achieved in 2021 and revenue growing to $73.5 million in 2025, ASAPP has a solid foundation. Yet, it operates in a volatile market where even well-funded tech firms face pressure. The commoditization of generative AI from tech giants and open-source models presents a potential threat to pricing power, while long enterprise sales cycles and complex integrations remain operational hurdles.

Here, Khanna’s role becomes paramount. His mandate is to help "scale that advantage" by leveraging his deep understanding of enterprise procurement, governance, and strategy. His leadership will be crucial in guiding ASAPP’s roadmap, which includes expanding its suite of purpose-built AI agents and enhancing its platform with features like "Continuous Red Teaming" to ensure AI safety and reliability.

By appointing a chairman whose career was forged in the crucible of large-scale corporate transformation, ASAPP is making a clear statement. It is betting that the future of customer service will be won not by the flashiest algorithm, but by the platform that can most effectively, reliably, and measurably deliver on the long-unfulfilled promise of enterprise software.