Apexon’s AgentRise helps enterprises embed autonomous intelligence into day-to-day operations, delivering measurable efficiency gains and faster decision-making at scale. In an exclusive interaction, Bhavesh Mehta, Chief Delivery Officer, Apexon, explains to Rajneesh De, Group Editor, CXO Media & APAC Media, what differentiates AgentRise is its enterprise-ready design. The platform is built with strong guardrails for data governance, security, and responsible AI, enabling organizations to operationalize Agentic AI confidently in regulated and complex environments.
What are the solutions and services available in the Apexon portfolio?
Apexon’s portfolio is built around a focused, AI-led services strategy spanning Data and AI, Digital Engineering, including Quality Engineering, and Experience. This selective approach allows us to build deep domain expertise and deliver measurable business outcomes for Fortune 1000 clients, particularly across BFS, Healthcare, and Life Sciences, where scale, complexity, and compliance are critical.
In Data and AI, we help enterprises modernise legacy data estates into scalable, governed, and low-maintenance modern data platforms. Our work spans data strategy, governance, lineage, and quality, enabling advanced analytics, AI and ML use cases, and data monetization. At the core of this offering is AgentRise, Apexon’s proprietary agentic AI platform, which enables enterprises to adopt agentic architectures and redesign business processes for sustained advantage.
Our Digital Engineering capabilities cover both greenfield development and large-scale legacy modernization across cloud platforms. AI is embedded into our engineering operating model, driving higher productivity and faster delivery across the SDLC. Quality Engineering plays a critical role, acting as the trusted gatekeeper that validates outputs produced by both human and AI systems, ensuring reliability, compliance, and release confidence.
The Experience offering integrates human-centred design, customer journeys, and UI/UX to ensure the solutions we build are intuitive, usable, and outcome-driven.
Together, these capabilities enable Apexon to engineer intelligent, AI-driven solutions that deliver tangible business value at scale.
What are the use cases of AgentRise, Apexon’s proprietary agentic AI platform?
AgentRise enables enterprises to move from isolated AI pilots to enterprise-scale adoption of Agentic AI. The platform allows organizations to deploy context-aware, autonomous agents directly into critical business workflows, automating complex, multi-step processes while maintaining governance, security, and control.
AgentRise is applied across operations, customer service, compliance, data processing, and decision support. By embedding agents into existing workflows, enterprises modernize legacy operations, improve responsiveness, and enable more intelligent, personalized interactions without disrupting core systems.
In healthcare, Apexon partnered with a global healthcare technology leader to transform clinical operations using Agentic AI. Autonomous agents were deployed to automate pathology report redaction, streamline clinical trial documentation, and guide users across clinical systems. This resulted in a 35% reduction in second-opinion review timelines, a 30% reduction in support queries, and a 40% acceleration in clinical trial initiation.
What differentiates AgentRise is its enterprise-ready design. The platform is built with strong guardrails for data governance, security, and responsible AI, enabling organizations to operationalize Agentic AI confidently in regulated and complex environments. It supports the full lifecycle from identifying high-value use cases to redesigning workflows and scaling adoption across teams.
AgentRise helps enterprises embed autonomous intelligence into day-to-day operations, delivering measurable efficiency gains and faster decision-making at scale.
How is India positioned as a delivery hub in Apexon’s overall global delivery strategy?
Apexon’s global delivery strategy is client-centric, combining close on-site engagement with nearshore and offshore scale. India is central to this model and represents Apexon’s largest offshore hub, with approximately 75% of our workforce across seven cities.
The depth and scale of India’s engineering talent, combined with the strong presence of our global clients in the region, make it critical to deliver complex, large-scale programs. As our delivery model evolves toward AI-augmented PODs, humans remain in the loop while AI agents execute and accelerate significant parts of the work. This shift requires changes across processes, tools, and skills, and India plays a key role in enabling this transition.
We are making sustained investments in reskilling programs aligned to this AI-led operating model, developing capabilities across roles such as Forward Deployed Engineers, Prompt Engineers, and AI Orchestrators. As enterprises move from experimentation to scaled AI adoption, a significant share of Apexon’s advanced engineering, data modernization and AI initiatives, and innovation lab work is anchored in India.
For Apexon, India is not only a delivery hub but a strategic centre for AI-led execution, enabling consistent, scalable outcomes for global clients.
How have enterprise software needs evolved, and how can AI and Agentic AI make a difference?
Enterprise software has evolved from maintaining legacy systems to enabling modern, cloud-native, data-driven platforms that are tightly integrated into business operations. Organizations today expect scalability, flexibility, real-time insights, and clear accountability for business outcomes.
This shift creates significant opportunities in application and data modernization, while also introducing challenges around speed, complexity, and cost. Enterprises must transform quickly without compromising reliability, governance, or control.
AI addresses these challenges by embedding intelligence directly into workflows, automating complex processes, and improving productivity. Agentic AI extends this further by enabling autonomous execution across multi-step workflows, allowing enterprises to move from pilot initiatives to scalable, operational adoption.
AI also changes the economics of transformation. Large, complex programs can now be delivered faster and more efficiently, allowing enterprises to focus on running their businesses better and delivering outcomes that matter.
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