From boardroom to blueprint: Making AI-native transformation real

It starts in a boardroom. A strategy off-site. A digital reinvention mandate. Someone says, “We need to reimagine our business with AI.” Heads nod. Decks are built. A task force is formed. Then what? Everyone agrees it’s time to act. Yet, the leap from intent to implementation is where momentum often stalls. The ambition is clear; the path is not.

According to the 2025 Gartner CEO and Senior Business Executive Survey, 77% of CEOs believe AI is ushering in a new business era, yet only 44% consider their CIOs “AI-savvy.” This gap isn’t about skills but the ability to translate strategic intent into operational reality. AI-native transformation demands more than enthusiasm. It requires a shared understanding of where to begin, how to align business and technology, and what “AI-native” truly means for operations. That’s where Virtusa’s approach begins—with a model that connects ambition to execution.

One of the hardest truths leaders confront is that AI transformation isn’t just a tooling exercise or a cloud upgrade. It demands a ground-up rethinking of how value is created, delivered, and measured at the process level. It calls for what we define as AI-native process reimagination. But here’s the catch: while business stakeholders know their domains deeply, they often lack the language, frameworks, or confidence to define what AI-native looks like in their world. That’s why we believe successful transformation must start with a model that creates shared alignment—anchored in business goals, not just technical potential.

The desirability, viability, and feasibility (DVF) prism

We assess transformation opportunities through three dimensions:

• Desirability – Is the change valuable for users?
• Viability – Will it deliver meaningful business outcomes?
• Feasibility – Can it be executed with available data, systems, and talent?

Each dimension is a checkpoint: Desirability tests user relevance, Viability measures business alignment, and Feasibility confirms operational readiness. This approach keeps initiatives practical and executable.

DVF creates a common framework for business and technology teams to evaluate opportunities. It shifts the conversation from tool adoption to outcome definition. For example, replacing “How do we use AI in HR?” with “Can we reduce onboarding time by 40% by removing paperwork and manual routing?”

The model supports priorities such as improving user experience, reducing time-to-value, and ensuring scalable architecture. Early involvement of BDAT (Business, Data, Application, Technology) teams avoids delays from sequential handoffs.

Within Virtusa Helio—our enterprise AI framework—DVF guides opportunity selection and execution, ensuring each initiative has a clear path, governance alignment, and scalable design.

For example, in modernizing benefit inquiry workflows for a global healthcare enterprise, DVF ensured call center representatives could respond to complex medical benefit queries while meeting compliance and financial accuracy requirements. Working with the company’s AI Review Board, we built safeguards against bias and operational risk. Where no governance structures exist, our process helps set them up.

The result: a governed, scalable model with over 96% accuracy, ready for deployment in high-stakes environments.

From workshops to working models

To move from framing to action, we apply a structured method called Accelerated Solution Discovery (ASD). It isn’t a one-off workshop—it’s a hands-on, multi-week design sprint where domain SMEs, process owners, architects, and AI teams co-create task-specific solutions.

What sets this model apart isn’t just speed. It’s the scaffolding built into it:

• DVF assessments inform every design decision
• AI architects and data teams validate feasibility in real time
• Agentic workflows are prototyped early using modular templates
• KPIs and change metrics are defined before the build begins

Also, we factor in AI literacy gaps because we know that business users need to understand the technology to explore AI's possibilities in their language. Our model embeds enablement to make this exploration effective: workshops tuned to process contexts, business-case-backed pilots, and role-specific exposure to AI-first thinking. These early initiatives help scale what works, discontinue what doesn’t, and build maturity through experience.

Virtusa Helio supports this scaling with prebuilt agents, foundry toolchains, and responsible AI frameworks that accelerate the creation, orchestration, and governance of AI-native processes—without starting from scratch every time.

Blueprints for real, measurable transformation 

The output isn’t just a concept. It’s a validated blueprint—a set of composable, AI-native process models that can feed directly into implementation.

Some progress quickly to minimum viable products (MVPs). Others uncover dependencies such as legacy refactoring, data cleanup, or change management pathways. But in all cases, the approach de-risks investment and accelerates prioritization.

What we’ve learned through numerous transformations is that AI-native reinvention is a deliberate, iterative shift rather than a big bang. It is driven by domain-prioritized pilots, scaled through reusable patterns, and governed by a clear architecture view.

The model scales by expanding successful pilots across domains, increasing volume, and extending impact. It embeds intelligence into process design, system connections, and value delivery end-to-end. Over time, organizations move from asking, “Where can we apply AI?” to, “How do we design every process assuming AI agents are a given?”

Virtusa Helio operationalizes this mindset shift, with 350+ prebuilt agents, domain-tuned apps, and built-in observability across usage, value, and compliance—ensuring that transformation is sustainable, measurable, and outcome-driven.

Reimagining with confidence

AI-native transformation isn’t a leap of faith. It’s a structured reimagination of the business, requiring more than tools—a method that speaks to both ambition and ambiguity.

That’s the perspective we bring: not just technology execution, but a platform-powered pathway to rethink what your enterprise does and how with AI as an active design partner from day one.

Virtusa Helio enables that shift—responsibly, repeatably, and at scale.