Vishal Sikka's New AI Startup Wants to Reinvent IT Services — Here's What Business Teams Should Know

Former Infosys CEO Vishal Sikka Just Launched a Startup That Could Shake Up Enterprise IT

The enterprise IT services industry may be facing its most serious disruption in decades. Vishal Sikka, the former CEO of Infosys and founder of VianAI, has launched a new startup aimed squarely at challenging the dominant players in the global IT services market. Backed by prominent investors Mayfield and Aramco Ventures, and staffed with veterans from SAP, Infosys, and VianAI, the venture signals a serious bet that the old model of IT services delivery is ready to be replaced.

The story was first reported by Jagmeet Singh at TechCrunch AI on June 24, 2026.

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Who Is Vishal Sikka and Why Does This Matter?

Sikka is not a first-time disruptor. He served as the Chief Technology Officer at SAP before taking the helm at Infosys, one of the world's largest IT outsourcing firms. His tenure at both companies gave him a front-row seat to the inefficiencies, slow cycles, and margin-heavy structures that define traditional IT services. His subsequent work at VianAI focused on applying artificial intelligence to enterprise systems — and now, it appears, he is ready to bring that thinking to market at scale.

The backing from Mayfield, a storied Silicon Valley venture firm, combined with strategic capital from Aramco Ventures, suggests this is not a speculative moonshot. This is a well-resourced, strategically positioned challenge to firms like Infosys, TCS, Accenture, and Wipro — companies that collectively generate hundreds of billions of dollars annually by managing enterprise technology for large organizations.

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What the New Venture Appears to Be Building

While full product details have not yet been disclosed, the startup is assembling a team with deep roots in enterprise software and AI. The combination of SAP expertise, Infosys operational knowledge, and VianAI's AI research background points toward a platform model — one likely built around AI-native delivery of services that legacy firms still deliver through large human labor pools.

The thesis appears straightforward: if AI can handle the repetitive, process-driven work that currently requires thousands of offshore consultants, the economics of IT services collapse in favor of whoever controls the AI layer.

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What This Means for Business Teams

For CIOs, operations leaders, and even small and mid-sized business owners, this launch carries real implications worth tracking.

The cost of IT services may be about to fall sharply. If Sikka's venture succeeds in delivering AI-native IT services at a fraction of current prices, it will put pressure on every major vendor to reprice or restructure their offerings. Businesses locked into multi-year contracts with traditional providers should be paying attention to what comes next.

AI is moving from tool to service provider. This is a critical shift. For years, enterprise AI meant buying a software license or adding a plugin to existing systems. Sikka's model suggests the next phase is AI doing the actual work of IT delivery — not just augmenting it. For business teams evaluating AI tools for business, this distinction matters enormously when building a technology roadmap.

Talent and vendor strategies need to evolve. If AI-native firms begin undercutting traditional IT services on both price and speed, companies that have built their operations around legacy outsourcing relationships may find themselves paying a premium for slower outcomes. Now is the time to reassess those dependencies.

SMBs stand to benefit most. Large enterprises have always had access to top-tier IT services because they could afford them. AI-native delivery could democratize that access. A mid-sized manufacturer or regional financial services firm could, in theory, access the kind of intelligent IT infrastructure that was previously reserved for Fortune 500 budgets.

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The Broader Trend Worth Watching

Sikka's launch is not happening in isolation. It reflects a broader wave of AI-native companies targeting industries where human labor has long been the primary cost driver. We have seen similar moves in legal services, financial analysis, and customer support. IT services, with its enormous global workforce and entrenched pricing models, is a logical next frontier for this kind of disruption.

For teams thinking seriously about automation strategy for business, this is a moment to move from observation to action. The infrastructure layer of enterprise technology is being rebuilt, and the decisions companies make in the next 12 to 18 months will determine how well-positioned they are when the new options arrive.

Platforms like WRRK.ai are already helping business teams stay ahead of these shifts by centralizing AI tools, workflows, and team productivity in one place — the kind of operational foundation that becomes more valuable as the technology landscape accelerates.

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Original reporting by Jagmeet Singh, TechCrunch AI, published June 24, 2026. Read the original article at TechCrunch.

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Frequently Asked Questions

Who is Vishal Sikka and what company did he start?

Vishal Sikka is the former CEO of Infosys and former CTO of SAP. He is the founder of VianAI and has now launched a new AI-focused startup aimed at disrupting the traditional IT services industry. The venture is backed by Mayfield and Aramco Ventures and includes team members from SAP, Infosys, and VianAI.

How could AI startups change the IT services industry?

AI-native startups like Sikka's new venture aim to replace the large human labor pools that traditional IT services firms rely on with AI-driven delivery models. This could significantly reduce costs, accelerate delivery timelines, and make enterprise-grade IT services accessible to smaller businesses that previously could not afford them.

What should SMBs do as AI disrupts traditional IT services?

Small and mid-sized businesses should begin auditing their current IT vendor relationships and evaluate whether AI-native alternatives can deliver comparable or better outcomes at lower cost. Building internal familiarity with AI tools and platforms now will help SMBs move quickly when new options become widely available.

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