Gartner® Research Identifies Shift Toward AI-Native Team Models; Cites KUNGFU.AI

FOR IMMEDIATE RELEASE

New research discusses the move toward broad-skilled, full-stack AI engineering teams with embedded AI strategists, in our opinion, validating a delivery model built for AI from the ground up

AUSTIN, Texas — March 24th, 2026— KUNGFU.AI, a management consulting and engineering firm that focuses exclusively on AI, has been mentioned in a new Gartner® research report examining how AI-first organizations are restructuring delivery around small, cross-functional teams designed to successfully go from proof-of-concept (POC) to production and accelerate time-to-value.

The report discusses a structural shift in how AI work gets delivered. Traditional consulting models were built decades before AI existed, designed to standardize repeatable processes and staff them at scale. That approach breaks down when applied to AI, the Gartner research identifies where every organization’s data, infrastructure, and path to production is different. Gartner’s® research identifies the alternative that’s emerging: broad-skilled teams that collapse data, AI, and software engineering into a unified role and partnered with AI strategists.

KUNGFU.AI was cited in this research.

“Most professional services firms pivoted to offer AI services in the past few years and haven’t evolved their delivery model. AI work is fundamentally different and legacy consulting models aren’t effective.” said Stephen Straus, Co-Founder and CEO of KUNGFU.AI. “You can’t take a methodology built for standard processes and expect it to work for AI. The organizations getting real results from AI have figured this out. They’ve moved to smaller teams of senior people experienced in AI, data and software, and a delivery model that’s built around getting solutions to production. That’s what we feel the Gartner research is describing, and is completely consistent with the methodologies we’ve developed over the last nine years as an AI-native professional services firm.”

What Gartner® Identified

The research report outlines several shifts from how traditional services firms operate for firms having success in AI delivery:

• AI-first organizations are moving away from compartmentalized handoffs toward full-stack teams that own delivery end-to-end.
• AI strategists as connective tissue. These teams also include a strategic role that keeps technical execution anchored to business outcomes. We believe KUNGFU.AI embeds its AI strategists in its engagements to serve this function.
• Operational partners, not just advisors. Organizations need partners who can build AI solutions and put them into production. Organizations that just offer advisory or strategy services aren’t able to be successful because their recommendations tend to not be informed by the state-of-the-art of AI and not actionable.

Why This Matters

The AI industry’s most cited statistic is that roughly 95% of enterprise AI pilots never reach production. That failure rate is not a technology problem. It’s the predictable result of applying a delivery model that was never designed for this kind of work.

The traditional consulting approach treats AI like any other technology implementation: define requirements, hand off to a build team, follow a methodology. But AI doesn’t behave like an ERP rollout or a CRM migration. The problems are less defined, the data is messier, and the gap between a working prototype and a production system is significantly larger than most organizations expect. Delivery models built for standardization and repeatability consistently fail to close that gap and in our view, the Gartner research points to what’s replacing them.

KUNGFU.AI’s Approach

KUNGFU.AI was founded in 2017 as an AI-native consultancy. Its delivery approach has a success rate of putting POCs into production of 95% and in our opinion, reflects the principles Gartner® identifies as critical:

• Full-stack engagement teams. Every project is staffed with client partners, project managers, machine learning experts, and AI strategists who operate as a single team. Rather than siloing disciplines and handing work off between groups, KUNGFU.AI keeps the people who understand the problem, the people who build the solution, and the people who manage the client relationship working side by side throughout delivery.
• Embedded AI strategists. KUNGFU.AI’s AI strategists ensure technical work stays connected to business outcomes and that the client’s organization is prepared to adopt and sustain what gets built. Their role bridges the gap between what’s technically possible and what creates measurable value.
• Production as the standard. Engagements are scoped and structured around production deployment from day one. 95% of what KUNGFU.AI builds reaches production. The industry average is the inverse and, significantly, on projects much less ambitious than what KUNGFU.AI typically tackles.
• Knowledge transfer built in. The goal of every engagement is to leave the client’s team with the capability to run, maintain, and evolve what was built. KUNGFU.AI measures success by the business value that is created and the capabilities the client has gained during the engagement.

About KUNGFU.AI

KUNGFU.AI is an AI-native consultancy headquartered in Austin, Texas. The company builds and operationalizes AI systems for the most ambitious enterprise clients, combining full-stack engineering teams with embedded AI strategists to deliver production-ready solutions. Founded in 2017, KUNGFU.AI works with organizations to build AI strategies to change the basis of competition in their industries and deliver measurable and significant business value. 95% of the company’s work reaches production, and 60% of its business comes from returning clients.

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Gartner, “Shift Toward AI-First for Data & Analytics 2030,” Rita Sallam, Afraz Jaffri, Anurag Raj, Sarah James, Ehtisham Zaidi, Carlie Idoine, Christopher Long, Sumit Agarwal, Soyeb Barot, Lauren Kornutick, Sarah Turkaly, 2 March 2026, G00840589.

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