Earlier this month, Navisite, Part of Accenture, hosted a multi-part strategic workshop designed to help Oracle-run enterprises navigate the path to AI readiness. The sessions were packed with valuable insights, best practices, and real-world use cases. 

In this summer blog series, join us as we highlight the promise of AI for Oracle run businesses followed by the step-by-step adoption roadmap, from application upgrades to automation and AI. 

Here’s part one, the promise of AI—generative AI (GenAI), in particular—and the transformative potential it holds for Oracle enterprises. Read on to take the first step in your AI journey. 

The Evolving AI Investment Landscape 

Recent research from Accenture underscores the growing promise of AI. According to the Making Reinvention Real with GenAI report, 83% of executives say GenAI’s potential for positive business outcomes exceeds their original expectations. Meanwhile, Reinvention in the Age of Generative AI finds that 99% of executives plan to increase their investments in AI technologies. With the promise of AI being well recognized, the next question is clear: Where should organizations focus their investments to drive meaningful business value? 

Today, we’re seeing the majority of AI spending flowing into functional use cases—those that address common needs across the enterprise. These include initiatives such as automated content generation, AI-assisted contact center agents, automated financial reporting, HR chatbots, and no-code software development. These foundational use cases deliver immediate efficiency gains and build essential AI capabilities. 

However, looking ahead, a strategic pivot toward industry-specific applications and new AI-powered offerings is anticipated. Investments will increasingly target high-impact use cases such as underwriting in insurance, capital project management in energy and utilities, and drug discovery and clinical trials in life sciences. These initiatives go beyond enhancing existing processes, instead reimagining them entirely enabling end-to-end transformation. In this next phase, AI becomes a catalyst for industry differentiation and innovation. 

Navigating the Binary Big Bang 

Beyond this shift, in its Technology Vision 2025 research report, Accenture introduced a defining trend called the Binary Big Bang—a critical inflection points where foundation models have finally broken the natural language barrier between people and machines. This breakthrough is reshaping how we design, interact with, and build digital systems leveraging GenAI—especially large language models—leading the charge. 

One of the most impactful outcomes of this shift is the rise of AI agents: intelligent digital assistants that go beyond retrieving information. These agents collaborate, plan, reason, and execute tasks autonomously by integrating advanced models and algorithms. As a result, forward-looking organizations embed AI agents not just as interface layers but as foundational components that enhance enterprise systems and enable the creation of entirely new digital capabilities. 

Looking ahead, executives predict a major role reversal: By 2030, AI agents—not people—will be the primary users of most internal digital systems.  

This prediction signals a fundamental change in enterprise architecture and underscores the need for organizations to prepare for an AI-first operating model. 

But this transformation isn’t without challenges. Accenture’s research reveals that only a small percentage of organizations have been able to scale GenAI across the enterprise, and just over 13% are realizing significant economic value at speed. The roadblocks are familiar: poor data readiness, lack of process redesign, gaps in executive sponsorship, and talent shortages. 

To adopt and achieve the full promise of GenAI—and capitalize on the Binary Big Bang—organizations must address these foundational issues with urgency and purpose. 

Five Imperatives to Realize the Promise of GenAI 

To move past these barriers and scale GenAI safely and effectively, organizations must focus on key areas that enable speed, value, and responsible innovation. This includes not only advancing foundational capabilities but also embracing the next frontier: industry-specific use cases, AI engine–powered offerings, and agentic AI. 

Based on their findings, our colleagues at Accenture have identified five imperatives to scale GenAI with confidence—ensuring that innovation happens at the right speed and scale for lasting business impact. 

1. Lead with Value 

To move beyond experimentation and toward transformation, organizations must shift their focus from isolated functional use cases to high-impact initiatives that span the entire value chain. This means using GenAI not just to optimize individual tasks but to reimagine core business capabilities and operating models. 

Achieving this requires a deep, end-to-end analysis of processes—often across silos—combined with the ability to use GenAI to create entirely new domains of value. It’s a comprehensive effort that spans people, processes, and technology. 

Benefits: 

• Disrupt traditional business models and value chains to achieve growth 

• Break down silos to capture value from complex, cross-functional “mega processes” 

2. Reinvent Talent and Ways of Working  

GenAI now represents a fundamental shift in how work gets done. As AI agents take on more goal-driven and autonomous roles, organizations must rethink workforce models and prepare employees to collaborate with digital colleagues. 

This reinvention focuses on investments for upskilling and reskilling to close the GenAI competency gap, redefine roles, and redesign workflows for a future where people and AI work side by side. 

Benefits: 

• Enable new performance frontiers with autonomous, goal-oriented agents 

• Reinvent workflows, roles, and capabilities through “digital colleagues” 

3. Build an AI-enabled, Secure Digital Core  

Scaling GenAI requires a strong, secure digital foundation. This digital core includes integrated platforms for data, cloud, AI, and secure infrastructure—all engineered to support enterprise-level AI at scale. 

Key actions include modernizing data platforms, embedding AI engineering models and agentic architectures, and maximizing existing application investments by integrating AI engines. The goal is to create a cognitive digital brain—one that powers real-time decision-making and intelligent automation across the enterprise. 

Benefits: 

• Modular AI frameworks and agentic architectures that scale 

• Always-on intelligence embedded throughout business systems 

4. Close the Responsible AI Gap 

As AI systems gain greater autonomy, trust becomes non-negotiable. Organizations will embed governance, ethical frameworks, and monitoring into all AI developments and deployments. 

This focus is on managing regulatory risk while building systems that people trust in an ethical, reliable, and transparent way. 

Benefits: 

• Meet rising global regulatory expectations 

• Design systems that are “responsible by design” to safeguard innovation, mitigate risk, and build trust 

5. Embrace Continuous Reinvention 

GenAI is evolving rapidly—and so must your approach to transformation. Reinvention becomes a continuous process. Organizations that thrive in this new era will be those that can adapt quickly, scale innovation repeatedly, and institutionalize change as a core competency. 

Benefits: 

• Keep pace with the accelerating evolution of GenAI and emerging tech 

• Develop change management as a durable, strategic advantage 

Your GenAI Roadmap with Oracle + Navisite 

Scaling GenAI effectively requires the right technology and the right strategy to support each unique business. Many enterprises are turning to Oracle for its built-in end-to-end GenAI capabilities, from high-performance cloud infrastructure and secure AI engineering services to intelligent cloud applications embedded with prebuilt AI features. 

But each organization’s Oracle GenAI journey is unique. At Navisite, Part of Accenture, we help Oracle-run organizations translate the promise of GenAI into tangible business outcomes and a roadmap for modernization no matter the starting point. Whether you’re in the early stages of exploration or ready to scale enterprise-wide, our experts provide the strategic planning, technical execution, and continuous optimization needed to accelerate your AI journey. 

Ready to explore what is possible?  

Schedule a 1:1 executive session with our team or watch our latest webcast to learn how to build a GenAI roadmap that delivers real business value. 

In our next blog, we dive into the first step to adopting AI- modernizing what you have, and where to focus.