Key takeaways Refactoring means behavior stays the same. The only proof is tests that passed before the change and pass after it. AI is strongest at mechanical, local changes and
Key takeaways A database is more than tables. Stored procedures, triggers, jobs, reports and downstream feeds all carry business logic that has to move or be replaced. Pick the target
Agent sprawl is the accumulation of AI agents across an enterprise faster than any central record of them, and an AI agent inventory is the governed register that fixes it
Key takeaways Staff augmentation gives you capacity and skills under your direction. A forward deployed model gives you an outcome owner inside your systems. You are buying different things. Choose
Key takeaways A forward deployed engineer (FDE) is not a consultant and not a solutions architect. They write production code in your environment and feed what they learn back into
An AI agent evaluation harness is the fixed set of real task instances, graders and thresholds you run an agent against on every change, so that a prompt edit, a
Prompt injection in an enterprise AI system is the insertion of instructions into content an agent reads, so the agent executes them as if they came from the operator. It
An approval gate is a control point in an agentic workflow that suspends an agent between deciding to take an action and taking it, holds the action in a durable
Multi-agent failure modes are the specific ways a system of cooperating AI agents produces a wrong result that no individual agent produced — errors created by handoff, delegation and verification
The PoC-to-production transition for an AI agent is the point at which a demonstration that worked on chosen inputs becomes a system that must behave correctly on inputs nobody chose.
AI agent observability is the practice of tracing, recording, and alerting on an agent’s reasoning steps, tool calls, and outputs so that its behavior in production can be explained after
RAG, fine-tuning and long context are three ways of getting an enterprise agent the knowledge it needs at inference time: retrieval fetches relevant material from an index, fine-tuning changes the
Oracle native AI is the set of agents and generative features Oracle ships inside Fusion Applications and runs within the Fusion security framework; a custom agent is one your team
AI agents and Oracle Fusion meet along four paths: Oracle’s own AI Agent Studio, direct REST calls, report and extract delivery, and event or file-based batch. The path chosen decides
An Oracle Fusion quarterly update is a mandatory release that Oracle applies to your test environment first and your production environment roughly two weeks later. For an AI integration, that
