The way we approach customer experiences is undergoing a seismic transformation. As global markets grow more saturated and customer expectations are evolving faster than ever, organizations—particularly in the telecommunications and technology sectors—are turning to artificial intelligence (AI) and automation as critical levers for survival and growth. Recent research commissioned by Oracle and conducted by analyst firm Analysys Mason draws a clear picture: the integration of intelligent technologies is no longer optional, but rather a fundamental imperative to remain competitive.
An overwhelming 97% of respondents to the survey agree that integrated, AI-powered automation is essential for their company’s survival and growth over the next five years. Strikingly, this point isn’t confined to technical or operational leadership. C-suite executives—CEOs, CIOs, Chief Data Officers—are even more likely to strongly agree with this assertion, underscoring that AI will be critical for long-term business outcomes.
Redefining investment priorities and business objectives
The same report found that top business and investment priorities now consistently reflect a commitment to improving customer experience and automating core operations. Companies are investing in AI and automation with the expectation of reducing operational costs, personalizing the customer experience, and unlocking new business insights—all within the next two years.
We’ve reached an apex where decision makers are not merely experimenting with AI pilots; they are embracing a holistic business approach to transformation and seeking the most efficient route to it. The preference for using a single technology vendor is gaining momentum, with nearly nine in ten service providers expressing a strong interest in a “one stop shop” model. This approach reflects both an ambition for rapid innovation and a desire to mitigate the integration, operational, and security risks that can accompany multivendor environments.
Yet, despite this trend, there is a significant and persistent divide in vendor strategy preference. Sixty-seven percent of respondents indicate a preference for multivendor AI platforms, largely to leverage best-of-breed solutions via standardized APIs. However, CIOs—whose core responsibilities include system stability and operational cost control—are notably more inclined to advocate for single-vendor models. For these leaders, the risks and complexities associated with multiple vendors, such as integration issues and escalating TCO, often outweigh the benefits.
Deployment realities and the cloud imperative
What consistently emerged within the Analysys Mason data was the importance of aligning business and IT objectives. The IT department is overwhelmingly the primary driver for customer lifecycle automation technology adoption (90%). Cloud remains the default deployment environment, with 86% of respondents stating that their AI and automation solutions are primarily deployed on public cloud platforms. This underscores both the scalability demands and the governance challenges that modern enterprises must address.
Currently, “customer care” stands as the most mature AI use case, with 53% of organizations reporting advanced deployments. However, the largest planned investment increases are earmarked for billing, invoicing, and payment management, where organizations anticipate the greatest leap in automation maturity over the next two years.
Barriers to realizing value: Challenges in ROI and production scalability
Despite high expectations, most organizations are finding that delivering measurable value from AI remains elusive. Only 6% of operators report an ROI above 25% for completed AI/automation projects, and more than 60% see proof-of-concept (PoC) failures at a rate of 80%. For many, the technical and data challenges—rather than purely financial ones—prove to be the most significant barriers to production rollout. Regulatory and security compliance concerns are cited more frequently than any other factor, disproportionately affecting smaller organizations (where 58% report compliance as a major barrier, compared to 25% of larger operators).
Moreover, the human element can’t be overlooked. Analysys Mason’s survey found that scaling AI initiatives is, fundamentally, a human challenge. Factors like organizational readiness, staff training, and data management are consistently more impactful than pure technical capabilities when it comes to progressing pilots to live deployments.
Integration vs. complexity: The multivendor dilemma
It’s also worth noting that the cost and complexity of integrating solutions from multiple vendors can often be a double-edged sword. Nearly two-thirds of respondents said multi-vendor strategies result in potentially or significantly higher operational and development costs. A staggering 93% even agreed managing these complexities inflates overall TCO. Still, the drive for vendor flexibility and best-in-breed innovation keeps the multi-vendor model attractive, especially among mid-to-large operators.
Strategic Recommendations and the Oracle Advantage
The path forward may be marked by new challenges, but it’s also one of significant opportunities. Throughout the report, several best practices for organizations aspiring to transform their customer experience through AI have emerged:
Prioritize platforms with deep data and AI expertise: Vendors with demonstrable capabilities in these areas should be considered primary partners for transformation. Operators with a focus on end-to-end product scope, AI/ML expertise, and access to advanced “AI studios” report substantially higher ROIs.
Adopt a hybrid, scalable approach: The dominant adoption strategy is hybrid, combining in-house development with carefully selected vendor solutions. This allows organizations to benefit from innovation while minimizing vendor lock-in.
Focus on integration and compliance: Ensuring seamless integration across platforms and prioritizing regulatory/security compliance from the outset are absolute necessities.
Build for people, not just technology: Invest in organizational readiness, change management, and ongoing staff training to ensure sustainable deployment and scaling of AI initiatives.
With decades of expertise in managing critical customer, product, and network data for CSPs, Oracle offers a unique advantage as a transformation partner. We provide not only the infrastructure upon which today’s most innovative AI solutions are built, but also the experience, security, and integration capabilities required for truly end-to-end transformation. In an environment where AI “changes everything”—from customer expectations to competitive strategies—choosing a partner who brings both technical depth and industry understanding is more essential than ever.
While the road to value in customer experience is still challenging for many organizations, those that align their priorities with these best practices—and forge strong, strategic partnerships—will be best positioned not only to survive, but to lead in the digital economy. The imperative is clear: AI is not just a tool, but a reimagination of how organizations can deliver value, efficiency, and exceptional experiences at scale.
