From Legacy Modernization to Autonomous Run: How North American Enterprises Can Connect Build, Transform and IT Operations

North American enterprises are under real pressure to move faster without increasing risk. They need to modernize aging systems, put AI to work in core business processes, and keep increasingly complex technology environments reliable after go-live. Too often, those efforts happen as separate programs: legacy modernization in one lane, AI experimentation in another, and IT operations somewhere downstream trying to absorb the consequences. The result is fragmentation, slower value realization and more operational debt.

Publicis Sapient offers a different model. Through its people + products approach, organizations can connect modernization, AI orchestration and ongoing operations as one enterprise lifecycle. Sapient Slingshot helps modernize legacy systems with speed and traceability. Sapient Bodhi helps organizations build and orchestrate enterprise-ready AI agents and workflows. Sapient Sustain helps improve reliability, reduce operational debt and automate IT operations in complex environments. Together, they support a more connected operating model for AI transformation—one that spans build, deployment and run-state performance.

For many enterprises, the challenge is not a lack of ambition. It is the gap between ambition and execution. Leaders are being asked to modernize platforms, deploy AI responsibly, improve customer and employee experiences, and prove measurable value quarter over quarter. At the same time, their environments are more distributed, more integrated and harder to manage than ever.

When transformation is fragmented, every handoff creates friction. Modernization teams may upgrade code without creating the operational visibility needed for support teams. AI teams may launch pilots that are difficult to govern or scale across real workflows. Operations teams may inherit new systems without the context, automation or service intelligence required to run them efficiently. Enterprises do not need more isolated tools. They need a connected model that links technology change to business outcomes and operational resilience.

Publicis Sapient’s enterprise AI platforms are designed to work across three critical phases of transformation.

First, modernize the foundation. Sapient Slingshot helps organizations address legacy technology constraints by turning existing code into verified specifications and generating modern software with full traceability. This enables teams to move faster on modernization while maintaining confidence in what is being transformed and why.

Second, build and orchestrate intelligence. Sapient Bodhi enables enterprises to design, build and run enterprise-ready AI agents with the orchestration, context and governance needed to scale across actual business workflows. Rather than treating AI as an isolated use case, Bodhi helps organizations embed agentic capabilities where work really happens.

Third, run with resilience and autonomy. Sapient Sustain extends value beyond deployment by helping enterprises detect issues early, resolve incidents autonomously and prevent recurring failures across legacy and modern ecosystems. This creates a path from reactive support models toward predictive, self-improving IT operations.

Seen together, these platforms support a lifecycle that many enterprises struggle to connect on their own: modernize the estate, build AI into workflows, and keep the environment learning, improving and running reliably over time.

Modernization is no longer just a technology refresh. For North American enterprises, it is the prerequisite for scaling AI safely and effectively. Legacy platforms often carry years of embedded business logic, integration complexity and technical debt. Replacing or upgrading them without losing critical knowledge is one of the hardest parts of enterprise transformation.

Sapient Slingshot is designed for that challenge. By turning existing code into verified specifications and generating modern software with full traceability, it helps organizations accelerate the journey from legacy systems to adaptable, modern architectures. That matters not only for engineering speed, but also for governance, compliance and confidence—especially in industries where systems cannot simply be rewritten without clear validation.

The value is strategic: faster modernization, reduced tech debt and systems that are better prepared for continuous change. Once the foundation is clearer, more modular and more traceable, it becomes far easier to introduce intelligent workflows on top of it.

After the modernization step, the next question is how to put AI to work in a way that can actually scale. This is where many organizations stall. They may have promising pilots, but not the orchestration, context or governance to move from experimentation into production.

Sapient Bodhi addresses that gap by enabling enterprises to build and run AI agents that are ready for real business use. The platform is designed to support intelligent agents and workflows with the controls needed to operate across enterprise environments. That is essential for organizations that want AI to do more than generate content or answer prompts. They want it to participate in research, decision support, coordination and execution across functions.

For North American enterprises, the opportunity is not simply to add another AI layer. It is to create an operating model in which agentic systems and human teams work together inside well-defined business processes. In that model, AI is governed, contextual and useful at scale—not trapped in isolated experiments.

Transformation does not end when software is deployed or an AI workflow goes live. In many enterprises, that is when complexity becomes most visible. As environments expand across cloud, legacy and hybrid systems, traditional automation often lacks the context and coordination needed to maintain reliability at scale.

Sapient Sustain is built for this run-state reality. It uses agentic AI to help enterprises detect issues early, resolve incidents autonomously and prevent recurring failures. Its foundation includes an enterprise context graph that connects signals across tickets, logs and systems, self-healing workflows linked to service maps, a consolidated knowledge base to help teams act faster, and predictive models that surface problems before they affect the business.

This supports a practical evolution from traditional L1, L2 and L3 operating models toward agent-orchestrated operations, where AI augments human decision-making and autonomy exists within defined guardrails. The result is not automation for its own sake. It is improved resilience, lower operational debt and more scalable support.

Publicis Sapient has stated that Sapient Sustain can help reduce IT operational costs by up to 45% while delivering up to 8x improvement in mean time to resolution or same-day resolution. Early work with organizations such as Nissan shows how AI-enabled operations can improve cost efficiency, accelerate issue handling, shift teams from reactive to proactive operations and maintain high levels of uptime in business-critical environments.

The real differentiator is not any single platform in isolation. It is how the platforms connect. Slingshot helps create a more modern and traceable technology foundation. Bodhi helps enterprises design and orchestrate intelligent agents across business workflows. Sustain helps those environments stay reliable, efficient and increasingly autonomous once in production.

That combination reflects a broader truth about AI transformation: enterprise value comes from connecting change across the full lifecycle. Modernization without operational intelligence leaves organizations exposed after deployment. AI agents without modernization and governance struggle to scale. Operations without architectural and workflow context remain reactive. Enterprises need all three dimensions working together.

Technology platforms matter, but so does the ability to apply them inside complex businesses. Publicis Sapient combines these platforms with decades of digital business transformation experience and deep expertise across strategy, product, experience, engineering, and data and AI. That matters for organizations navigating regulated environments, legacy complexity, ambitious growth goals and rising expectations for measurable outcomes.

For North American enterprises, the path forward is not to run more disconnected pilots. It is to connect modernization, AI delivery and IT operations into one operating model built for speed, safety and long-term performance. With Sapient Slingshot, Sapient Bodhi and Sapient Sustain, Publicis Sapient helps organizations move from legacy constraints to intelligent build environments to autonomous run—so transformation does not stop at launch, but compounds over time.

Relevant Links

• Rahul Dubey Joins Publicis Sapient to Lead North America Growth
• The New Client Growth Playbook for North America: AI-Enabled, Industry-Led and Built for Enterprise Execution
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• De l’ambition IA à l’exécution en Europe : moderniser, gouverner et créer de la valeur mesurable (Europe)
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