Every year, businesses pour resources into digital transformation. They upgrade software, migrate to the cloud, hire consultants, and stand up dashboards. And yet, roughly seven out of ten of these initiatives still fail to meet their original objectives. Not because the technology stops working—but because something else breaks first.

That “something else” is increasingly the focus of the IT consulting industry in 2026. And a handful of recent developments suggest we may be entering a phase where the gap between investing in digital tools and actually transforming a business finally starts to close.

The Stubborn Gap Between Investment and Outcome

The statistics are uncomfortable for anyone who has sat through a digital transformation kickoff. Analysts estimate that failed or underperforming transformation efforts cost organizations trillions of dollars globally each year. Meanwhile, surveys of CFOs and COOs consistently find that the majority struggle to measure the ROI of technology investments in meaningful business terms.

The root cause is rarely the software itself. It’s the operating model around it—how people make decisions, how workflows are redesigned, how success is defined before a single line of code is written. Research from Deloitte’s 2026 AI transformation pulse checks puts it plainly: the gap between AI deployment and AI transformation is “wider than many leaders assume,” with technology moving faster than the governance, measurement systems, and organizational habits needed to make it stick.

For a business owner, this is actually useful news. It means the critical question isn’t “which software should we buy?” It’s “how will our people and processes work differently after this technology is in place?” That shift in framing changes what to look for in a consulting partner—and in a software vendor.

The Consulting Industry Is Reshaping Itself Around This Reality

One concrete signal: the IT consulting market is growing fast, and it’s growing in the direction of AI. A market research report published in early June 2026 by Persistence Market Research projects the global AI consulting services sector will expand from roughly $13.8 billion in 2026 to $73.1 billion by 2033—a compound annual growth rate of 27.1%. The largest driver is demand for implementation and deployment expertise: companies don’t just need AI tools, they need guidance on making those tools fit into existing enterprise systems.

On June 11, Andersen Consulting announced a Collaboration Agreement with HeadMind Partners, a European firm with 500 cybersecurity professionals, 70 AI engineers, and 400 digital transformation specialists. The deal is notable not just for its scale but for what it signals: leading consultancies are bundling cybersecurity, AI, and transformation capabilities together, because clients increasingly need all three in the same room. The boundary between “get our data secure,” “deploy AI,” and “transform how the business runs” has dissolved.

Another structural shift: outcome-based fee models are replacing traditional hourly billing in the consulting industry. Firms are increasingly being paid for measurable business results rather than time spent on-site. For clients, this is significant—it aligns the consultant’s incentives with yours. A partner who earns their fee only when the transformation delivers is a very different conversation than one billing by the hour regardless of results.

What PwC’s 2026 Operations Survey Is Telling Executives

PwC’s 2026 Digital Trends in Operations report frames AI not as a discrete technology project but as something that “reinvents enterprise performance” when embedded into core operations. The distinction matters. Enterprises that treat AI as a standalone initiative—a chatbot here, an analytics dashboard there—tend to produce isolated wins that don’t compound. Enterprises that rebuild workflows around AI capabilities tend to see outsized returns.

The same report highlights that demand for AI consulting is strongest in manufacturing, healthcare, and financial services—industries with complex compliance requirements, legacy systems, and high costs of operational inefficiency. That’s not a coincidence. These are sectors where the gap between a tool working technically and a transformation working organizationally is the largest, and where expert guidance has the clearest dollar value.

One emerging capability worth tracking: agentic AI systems. Unlike tools that respond to a single prompt, agentic systems take initiative across multi-step workflows—coordinating tasks, monitoring outcomes, and escalating when something falls outside expected parameters. Several consulting firms are already building practices around helping enterprises define where autonomous agents should operate and where human judgment must remain in the loop. Getting that boundary wrong in either direction—too much autonomy or too little—has measurable costs.

What This Means If You’re Evaluating a Technology Partner

The shift in the consulting landscape points to three questions worth asking any technology or consulting partner before you commit to a transformation engagement:

How do you define success—and when do you measure it? Partners who talk only in terms of deliverables (a new system, a completed migration) are focused on the technology. Partners who tie their work to specific business metrics—reduction in processing time, improvement in customer retention, cost avoided—are focused on the transformation. Ask for both, and pay attention to which one they reach for first.

Who owns the operating model change? Technology deployments often stall not because the software fails but because the workflows, approvals, and habits around it don’t change. Ask your partner: who is responsible for redesigning how people work, not just what tools they use? If the answer is vague, that’s the risk to manage.

How do you handle AI governance? If AI is part of the solution—and it increasingly is—someone needs to define the rules: what decisions the system can make autonomously, what data it can access, how it handles edge cases. This isn’t a technical question; it’s a business policy question. A good consulting partner will help you answer it before the system goes live, not after something goes sideways.

The Takeaway

The news from the consulting world in June 2026 is ultimately optimistic, even if the underlying challenge is stubborn. The industry is maturing—moving toward outcome-based accountability, bundling AI and cybersecurity into transformation work, and increasingly helping clients close the gap between technology deployed and business results achieved. For executives who have watched previous transformation efforts underdeliver, the question is whether the next one will be designed differently from the start.

The companies that get the most from digital transformation investments tend to share one trait: they treat it as an operating model project that uses technology, rather than a technology project that happens to affect operations. That reframe doesn’t require a big budget. It requires asking the right questions of the right partners.

If you’re thinking through a technology investment or wondering whether your current IT systems are holding your business back, we’re happy to talk through it with you. Reach us at info@kodevox.com or visit https://kodevox.com/contact-us/. No pitch, just a conversation.

Sources and further reading:

• Andersen Consulting Strengthens Digital Transformation and Cybersecurity Offerings with HeadMind Partners — WBOC / BusinessWire, June 11, 2026
• AI Consulting Services Market to Reach US$73.1 Billion by 2033, Growing at a 27.1% CAGR from 2026 — Persistence Market Research via EIN Presswire, June 2, 2026
• Enterprise AI Trends 2026: AI Transformation Strategy — Deloitte
• PwC’s 2026 Digital Trends in Operations: How AI Reinvents Enterprise Performance — PwC
• The State of Enterprise Digital Transformation ROI (2026) — Whatfix

— The Kode Vox Team