Agentic AI

DSP-Eclipsys' agentic AI services take you beyond standard automation, enabling intelligent systems that can reason independently, adapt to changing conditions, and take purposeful action in support of your broader business objectives. By combining our AI expertise with over 25 years of enterprise technology experience, we design agentic AI solutions that integrate with and enhance your existing processes. The result is smarter decision-making, more efficient operations, and measurable outcomes.

At DSP-Eclipsys, we guide organisations to realise the full potential of agentic AI through autonomous systems you can trust to make decisions on your behalf.

While many see AI adoption as a race, we treat it as a structured journey with clear milestones that build on each other and lead to sustainable, long-term success. Using our Ai Milestones (AiM) framework, we position AI agents to collaborate across systems, solve complex problems, and execute multi-step tasks, making them a powerful driver of automation, faster decision-making, and a better experience for both customers and employees.

DSP-Eclipsys' AiM Framework

Adopting AI doesn’t have to feel uncertain. Our AiM framework provides a structured path to follow. We work with you to define clear, measurable goals, identify the areas where agentic AI will have the greatest impact, and guide you confidently from initial pilot through to scaled enterprise deployment. Every milestone is designed to demonstrate tangible progress, reduce risk, and build the internal confidence and momentum needed to take the next step.

From strategy and governance through to orchestration, rollout, and continuous improvement, DSP-Eclipsys stays by your side throughout — making agentic AI an operational advantage rather than a costly experiment.

Oracle

The 7.68 TB SSD That Wouldn’t Provision: An ODA X9-2-HA vs. 12.1.0.2 Standoff

We recently stood up a new Oracle Database Appliance X9-2-HA to host a legacy application whose databases are still on Oracle 12.1.0.2. What should...

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Rajesh MadhavaraoJul 7, 2026 5:00:03 PM