Vladimir Sterescu, President of Global Outsourcing Division of CGS: AI is sharpening our edge; not by replacing people, but by elevating them

Outsourcing Today, the business services industry’s integrated networking and news platform, continues its interview series with leaders shaping the future of business services and related sectors. We explore key perspectives on the year ahead, strategic priorities, and growth opportunities.

Read below the key standpoints and perspectives of Vladimir Sterescu, President of Global Outsourcing Division of Computer Generated Solutions  (CGS)

The words of 2026: People first. Outcomes driven. Aligned for success.

The AI-based technologies changing the competitive edge in 2026

AI is sharpening our edge; not by replacing people, but by elevating them. At CGS Nexus, we’re embedding AI into quality assurance, sentiment analysis, workforce management, and performance optimization, so our teams spend less time identifying issues and more time coaching, resolving, and creating value. AI handles the repetitive tasks; our people focus on judgment, empathy, and outcomes. 

We’re also leveraging immersive AI through Cicero roleplay technology to help frontline employees rehearse real-world customer scenarios before they ever take a live call. That preparation translates directly into higher confidence, stronger problem-solving, and measurable improvements in customer satisfaction.  

The biggest misconception about AI 

The biggest misconception is that AI can replace human capability. In my experience, the real power of AI is augmentation — not substitution. The organizations seeing the greatest ROI are those using AI to enhance decision-making, accelerate insight, and free their teams to focus on complex, human-centered work. 

In customer experience environments, empathy, adaptability, and trust remain critical differentiators. AI can surface insights, guide next-best actions, and automate routine tasks — but it cannot replicate authentic human connection. At CGS Nexus, we deliberately blend AI precision with human expertise. That combination is what delivers sustainable competitive advantages. 

AI-led business decisions

We view decisions as AI-augmented rather than AI-led. AI provides data, patterns, and predictive insights — but final decisions remain human. Our workforce management teams use AI to streamline reporting and forecasting. Our operational leaders leverage AI analytics to identify service improvements and optimize performance. 

Internally, AI also supports technology evaluation and solution design, helping us assess how emerging capabilities fit within our tech stack and our clients’ environments. But governance and accountability remain firmly human. That balance ensures innovation without sacrificing judgment.

 AI changing customers’ expectations  

Standards have risen sharply. From our clients’ perspective, being AI-ready is now a baseline requirement — not simply experimenting with AI, but deploying it in ways that enhance speed, consistency, and measurable business outcomes. Intelligent automation, proactive insights, and real-time reporting are no longer differentiators; they’re fundamental components of modern service delivery. 

At the end-user level, the bar is equally high. Customers demand faster resolution times, seamless omnichannel experiences, and more personalized interactions. Interestingly, they also want greater empathy — not less. AI enables us to remove friction and manage complexity behind the scenes, allowing our people to be more present, attentive, and effective in the moments that matter most. 

Staying differentiated in the market, leveraging tools and competitive advantages

Our differentiator is captured in our guiding principles: “People first. Outcomes driven. Aligned for success.” 

“People first” means we invest in human capability and empower them with technology. “Outcomes driven” reflects our focus on measurable business impact for our customers. And, “Aligned for success” represents our Total Experience strategy, where customer experience (CX), employee experience (EX), and partner experience (PX) are intentionally unified. 

Through CGS Nexus, we integrate AI, analytics, immersive training, and operational expertise into a single model. That alignment reduces friction across journeys and creates a more resilient, adaptable organization. It’s not about isolated tools — it’s about orchestrated impact. 

Balancing rapid innovation with responsible and ethical AI use

We take a disciplined, methodical approach. Rather than chasing every new trend, we run controlled AI pilots, evaluate outcomes carefully, and scale responsibly. Our 40+ year history in technology services has taught us that durability matters as much as speed. 

Governance is central to that balance. We actively use AI governance frameworks to ensure transparency, data security, and compliance. Afterall, AI must operate within clear guardrails. Innovation without governance creates risk; innovation with governance creates trust. 

Important trend gaining momentum

One important trend gaining momentum is Model Context Protocol (MCP). MCP is an emerging open standard that enables AI systems to securely access and reason across enterprise data and applications — without building custom integrations for every workflow. 

Whereas APIs allow applications to communicate with one another, MCP allows AI to securely communicate with enterprise systems in real time. Instead of embedding sensitive data into models, MCP enables permissioned access to live systems of record. That architecture reduces risk, strengthens governance, and allows AI agents to operate within real business environments. For enterprises serious about scaling AI responsibly, contextual interoperability will be foundational.