A significant wave of change is unfolding, and leading enterprise technology ecosystems have responded promptly. Oracle has embedded agentic AI into its entire stack, spanning Fusion Cloud, NetSuite, and JD Edwards. A key innovation came in the form of Oracle AI Agent Studio, which enables enterprises to create, orchestrate, and deploy AI agents securely and extensibly.
However, organizations struggle to harness this capable ecosystem due to its complexity. Without structured methods, the need for hybrid on‑premise integration and governance challenges overwhelm even skilled engineering teams. Pilots tend to stall before delivering value, and scale becomes the most formidable barrier to AI initiatives.
Birlasoft is aware of these challenges to realizing AI's value in the enterprise. Through a strong partnership with Oracle and its expertise in industry-specific use cases, Birlasoft is helping organizations transform into an agentic enterprise with repeatable success.
Oracle’s Enterprise AI stack: A force multiplier
The merit of an enterprise AI ecosystem stems from how the individual capabilities compose into a coherent whole. A mature environment needs 4 key layers that are neatly bound with an orchestration plane:
- High-performance compute infrastructure that is optimized for the bandwidth and latency profile of GenAI and agentic workloads,
- Data platforms where AI runs close to the data to mitigate data gravity penalties and integration fragility,
- A broad catalog to quickly operationalize key enterprise AI patterns like GenAI agents, document understanding, etc
- The ability to embed AI capabilities in the locus of business workflows
The above logic closely reflects how Oracle has structured its enterprise AI stack. At the heart of it is OCI’s high-performance compute and supercluster with RDMA networking, which delivers optimized performance for AI workloads. This is complemented by Oracle Database 23ai with Vector Search and Autonomous Database Select AI, which enable AI to run where business data resides.
Above this foundation sits the orchestration and application layer. The Oracle AI Agent Studio acts as a control plane for risk by combining built-in validation and testing with Oracle Fusion’s inherited security and governance policies. This gives enterprises explainability, repeatability, and policy alignment by default.
The coverage of the AI Agent Studio spans both cloud-first environments (through Fusion’s 100+ embedded generative AI features and hybrid/on-premises estates via JD Edwards Orchestrator). Most importantly, composability sits at the edge of the stack: organizations can start with embedded AI agents in finance, supply chain, HR, and CX, then extend or specialize them through Agent Studio without re-platforming. This combination of breadth, depth, and extensibility elevates Oracle’s approach from a set of features to a coherent, agentic enterprise AI environment.
Enterprise AI in Oracle: Co-innovate with Birlasoft
The true value of Oracle’s enterprise AI stack emerges when organizations adeptly translate a rich set of capabilities into outcomes. This is why transformation initiatives built on the same tech tend to yield different results.
As a long-standing Oracle partner, Birlasoft has mastered the art of successful transformation with Oracle technology. In the domain of AI, Birlasoft works alongside Oracle as a co-innovator. Our teams have built differentiated tools, integration layers, and transformation frameworks in the Oracle ecosystem. These solutions enable businesses to operationalize Oracle AI capabilities with rigorous governance in industry-specific scenarios.
Operationalizing Oracle AI for targeted outcomes with Birlasoft
Birlasoft has devised two key IPs to help businesses attain targeted business outcomes with Oracle enterprise AI:
1. Oracle Agentic AI Framework
The Oracle Agentic AI Framework extends the embedded capabilities of Oracle’s ecosystem into practical workflows to accelerate outcomes.
For example, in JDE, the framework uses retrieval-augmented generation (RAG) to automate tasks such as expense report validation, purchase order creation, and sales order updates. These are triggered through natural language interactions: the agents securely invoke Oracle AI services through the JDE Orchestrator, embedding GenAI directly into day-to-day ERP operations.
In Cloud-first enterprises, the same framework can extend Oracle Fusion’s 100+ generative AI features across finance, supply chain, HR, and CX. Birlasoft has developed conversational and worker agents to handle use cases like:
- account reconciliation,
- supplier negotiations,
- management report summarization, and
- service request triage.
Birlasoft’s expertise helps organizations operationalize these use cases in nuanced industry contexts, such as compliance-heavy financial approvals or sensitive HR processes.
2. Birlasoft AI Factory
Birlasoft’s AI Factory enables AI agents to succeed in real-world contexts. Each use case passes through a structured lifecycle: prioritization, data pipeline preparation, proof-of-concept, enterprise rollout, and continuous monitoring.
For instance, in supply chain automation, the AI Factory model governs how forecast analysis agents are trained on customer-specific data, validated against Oracle’s embedded forecasting tools, and scaled across global operations.
Likewise, the same approach operationalizes marketing and service agents in CX transformation, linking them to customer-specific datasets to reduce average handling time and boost first-contact resolution.
Your Agentic Enterprise: Powered by Oracle, built by Birlasoft
Having progressed through multiple waves of AI innovations, businesses should internalize this mantra of succeeding with AI: attaining business value with AI requires a disciplined, manufacturing-like approach to AI transformation. AI initiatives seldom pan beyond pilot phases unless trust, scale, and context are accounted for.
