By partnering with leading organizations across BFSI, Automotive, Media & Entertainment, Healthcare, Digital Native, and Public Sector industries, Niveus has earned recognition as a Google Cloud Premier Partner. This collaboration empowers us to deliver agile, end-to-end business transformation such as Agentic AI for a wide range of clients.
Agentic AI Solutions
AI has evolved from rule-based systems to advanced machine learning, enabling dynamic decision-making. As business needs grew more complex, automation fell short, creating demand for autonomous solutions. This led to Agentic AI; systems that pursue goals, adapt in real time, and collaborate independently. The Agentic Era empowers businesses with intelligent agents that enhance efficiency, agility, and innovation.
Agentic AI refers to the development and deployment of autonomous, goal-driven systems capable of perceiving, reasoning, and acting independently within complex environments. These intelligent agents go beyond static automation by continuously learning, adapting, and collaborating to accomplish specific tasks. Niveus designs and deploys intelligent, goal-driven agents that automate complex tasks and adapt in real time. Our Agentic AI services enable scalable autonomy across business functions, enhancing decision-making, efficiency, and innovation.
Niveus Agentic AI Strategies to Build Autonomous Agents on Google Cloud
Building autonomous agents on Google Cloud goes beyond implementation. It involves harnessing the full potential of scalable infrastructure, advanced AI tools, and secure data ecosystems to create intelligent systems that learn, act, and adapt. Here are the strategies Niveus follows to develop effective Agentic AI solutions on GCP:
Autonomy at Scale with Vertex AI
Use Vertex AI to create agents that can function independently, make context-aware decisions, and scale across varied use cases while remaining within defined policies and operational controls.
Real-Time Learning with Unified Data Platforms
Utilize BigQuery and Dataplex to provide agents with access to clean, real-time data. This enables them to learn continuously, adapt to new inputs, and apply contextual reasoning across tasks.
Modular Agent Design with Cloud-Native Architectures
Develop agents using a structured framework. Define clear goals and constraints, integrate with APIs and workflows using Cloud Functions and Pub/Sub, and set up real-time telemetry for ongoing feedback and improvement.
Seamless Integration Across the Google Cloud Ecosystem
Connect agents with tools like Google Workspace, Apigee, and Looker to streamline workflows, drive automation, and facilitate collaboration across teams while maintaining unified data access.
Governance, Monitoring, and Security by Default
Apply Cloud Monitoring, AI Explainability tools, and IAM policies to track agent behavior, ensure transparency in decisions, and meet enterprise-grade security and compliance standards.
Frameworks for Building Multi-Agent Systems
Incorporate frameworks like Agent Development Kits (ADKs) for streamlined agent creation and orchestration, and implement Agent-to-Agent (A2A) protocols to enable standardized, secure communication between agents. These frameworks are essential for building scalable, interoperable multi-agent ecosystems on GCP.
Why Choose Niveus Solutions – Part of NTT DATA?
Niveus Solutions, Part of NTT DATA, brings deep technical expertise and strategic thinking to help organizations adopt Agentic AI effectively. Our team of AI engineers and cloud specialists design and implement autonomous agents that align with real business goals, enabling systems that perceive, decide, and act with minimal human intervention. We focus on delivering intelligent, adaptive solutions that operate across complex environments and enterprise systems.
Our approach prioritizes autonomy with control, ensuring each agent functions within defined objectives and policy frameworks. Leveraging Google Cloud’s AI capabilities, including Vertex AI, and more, we integrate agents across data, application, and workflow layers. This enables real-time learning, contextual intelligence, and cross-system orchestration.
Niveus adopts industry best practices in implementing ADK (Agent Development Kits) and A2A (Agent-to-Agent) protocols to build cohesive and scalable agentic ecosystems. Through ADK, we design modular agents with well-defined goals, decision policies, and interaction models that align with enterprise requirements. Our use of A2A protocols ensures secure, standardized communication between agents, enabling collaboration, task delegation, and dynamic coordination across distributed systems. By adhering to proven architectural patterns, governance models, and interoperability standards, Niveus delivers reliable, transparent, and compliant multi-agent solutions tailored for complex business environments on Google Cloud.
We enable scalable, modular agent architectures tailored to industry needs, while maintaining rigorous governance and transparency. With continuous monitoring, feedback loops, and alignment with ethical AI principles, we help enterprises deploy responsible and impactful Agentic AI.
Partnering with Niveus means gaining a strategic, end-to-end approach to Agentic AI. We help organizations with solutions that will transform decision-making, scale operations, and deliver value.
The Niveus Impact
10x
increase in online banking users
3
monthly conversations, improving user engagement
80%+
accuracy in 7+ languages, delivering a native exp
70%
success in generating insights that improved CX
70%
accuracy in data capture, reducing manual inputs
Niveus Agentic AI Offerings
As enterprises advance in digital transformation, the need for systems that can independently perceive, reason, and act becomes critical. Niveus Solutions, part of NTT DATA, enables organizations to build and deploy Agentic AI that brings intelligence, autonomy, and adaptability into core operations. Our solutions focus on designing modular, goal-driven agents that drive productivity, automate decisions, and learn continuously. These agents are integrated seamlessly within your cloud ecosystem.
Our Agentic AI Offerings:
Agent Design & Development: We build autonomous agents with clear objectives, decision boundaries, and feedback loops. These agents are capable of interacting with APIs, data systems, and applications to execute tasks with precision and adaptability.
Contextual Intelligence Enablement: Empower agents with access to real-time data using tools like BigQuery and Dataplex. This equips them to make informed decisions by analyzing context, predicting outcomes, and adapting their behavior accordingly.
Cross-System Integration: Our agents are architected to work across platforms, applications, and services. Using tools like Apigee, Cloud Functions, and Pub/Sub, we enable seamless communication and collaboration between agents and enterprise systems.
Monitoring, Testing & Governance: Ensure safe and reliable AI behavior through observability, automated testing, and policy enforcement. We implement continuous validation frameworks and explainability tools to maintain accountability and compliance.
Agentic AI Best Practice Implementation: We help enterprises embed best practices into their AI lifecycle. This includes modular agent orchestration, ethical frameworks, KPI alignment, and governance to ensure that your agentic systems are scalable, secure, and aligned with business outcomes.
Related Case Studies
We developed an Agentic AI solution for one of Australia’s largest consumer electronics retailers to elevate their digital commerce experience. The solution streamlined price match journeys with low-touch, self-service options that boosted customer satisfaction, raised deflection rates, and created new cross-sell and up-sell avenues. By leveraging Commerce APIs and Vertex AI, we enhanced product search with multimodal conversational features and contextual recommendations, leading to better conversion rates. Through Google Agentspace, we also automated product catalog management, improving data consistency, enhancing operational efficiency, and allowing teams to focus on strategic priorities.
FAQ
What is Agentic AI?
Agentic AI refers to intelligent systems that can autonomously plan, reason, and take actions to achieve complex goals with minimal human intervention. These agents operate independently while aligning with defined constraints and objectives.
How is Agentic AI different from traditional automation?
Traditional automation follows predefined rules and scripts. Agentic AI adapts dynamically, makes decisions in real time, and learns from interactions to improve outcomes over time.
How does Niveus implement Agentic AI solutions?
Niveus designs and builds scalable Agentic AI systems tailored to enterprise needs. We use cloud-native tools, LLMs, and orchestration frameworks to enable autonomous agents that integrate with existing processes.
What are the benefits of working with Niveus for Agentic AI?
With Niveus, organizations gain deep technical expertise, custom solutioning, and strong governance frameworks. This ensures that Agentic AI initiatives remain secure, compliant, and aligned with business goals.
What technologies enable Agentic AI?
Agentic AI uses large language models, reinforcement learning, multi-agent orchestration, memory architectures, and tool integrations to simulate human-like reasoning and action.
