SAS presents a $1.5 Trillion opportunity for both Software and Services firms.

SAS presents a $1.5 Trillion opportunity for both Software and Services firms.

Have you been utilizing your FOBO pills? Without a healthy Fear Of Becoming Obsolete, you may find yourself in a challenging situation, earnestly seeking someone to purchase your offerings.

To be direct, if you believe that enterprise software and services will resemble their current form in the future, you are mistaken.

SaaS has become an inflated, overpriced system that compels organizations to pay for unnecessary features. IT Services and Consulting often present themselves as innovative solutions while primarily functioning as a labor-intensive business. Chief Information Officers continue to allocate billions towards outdated tools and labor-intensive services, despite the availability of AI-driven solutions that can deliver superior results at a lower cost. Any competent C-Suite executive will express their frustration with the escalating annual expenses associated with traditional software licenses and the increasing need for service personnel to maintain them. This trend of investing in low-value technology cannot persist indefinitely.

Services-as-Software is poised to transform the enterprise technology landscape fundamentally.

Historically, software vendors have been at the forefront of strategically selling outcomes, while service providers have concentrated on the tactical implementation of software to achieve these outcomes. The significant challenge lies in encouraging software companies to enhance their focus on the tactical aspects of delivery, while service firms must elevate their relevance concerning the strategic rationale behind these solutions. We are witnessing an extraordinary moment in technological evolution, where outcomes, aspirations, and tactical execution are converging, leaving the identity of the ultimate victor uncertain.

The emergence of Services-as-Software—a layer of automated services driven by artificial intelligence—promises to revolutionize the industry. This model eliminates the reliance on billable hours and cumbersome software-as-a-service (SaaS) solutions.

This concept was first introduced in the HFS 2030 Vision, envisioning a future where enterprises move away from purchasing static technologies and labor-intensive services. Instead, they will adopt AI-driven, outcome-oriented solutions that are capable of continuous evolution and adaptation to meet shifting business needs.

This transition is not merely incremental; it represents a comprehensive redefinition of enterprise technology as we understand it today. We are already witnessing a significant transformation in our purchasing, deployment, and consumption of technology in both professional and personal contexts. The imperative is to abandon outdated engagement models with technology and to embrace innovative approaches before we risk obsolescence in the workplace. The era characterized by excessive spending on ineffective SaaS and cumbersome labor-intensive support arrangements is now behind us.

Supporting this trend, HFS’s pulse survey of over 600 enterprise decision-makers indicates that more than two-thirds of enterprises express dissatisfaction with their software and service investments, positioning themselves to renegotiate existing contracts in search of better alternatives.

Software is flawed—static, cumbersome, and ineffective.

For decades, enterprise software has promised efficiency but instead has resulted in clutter. Overloaded with superfluous features, it often hinders users rather than empowering them. Pre-configured workflows presume that businesses function in predictable, linear patterns, while real-world challenges necessitate flexibility and responsiveness. Furthermore, despite the persistent buzz surrounding automation, most software still depends on costly consultants to integrate it—transforming “plug-and-play” into “pay-and-pray.”

Services are a deception—exorbitant, sluggish, and labor-intensive.

Consulting firms assert they offer expertise, yet they frequently provide generic templates masquerading as customized solutions. The strategy is straightforward: create complexity and then charge clients to navigate through it. Efficiency is not part of their business model; the hours billed are the true product. Organizations do not pay for outcomes; they pay for human labor, endless presentations, and the façade of transformation. In essence, complexity has sustained consultants and C-suite executives in their roles for decades as they managed lengthy ERP implementations, cloud transitions, and data transformation projects.

In an era that requires agility, both software and services are impeding business progress. A new solution is necessary.

A novel category of “Services-as-Software” is emerging.

Services-as-Software eradicates the current inefficiencies by integrating automation, AI-driven decision-making, and outcome-based pricing to finally meet the needs of enterprises.

It provides expertise and decision-making like services.
It is automated, scalable, and subscription-based like software.
However, unlike traditional SaaS and services, it is adaptive, continuously learning from data to optimize processes in real time.

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