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Accenture builds agentic system with Oracle AI Database to protect client data

Accenture — Early sales and requests for proposals (RFP) response development served as the first proving ground; for example, agents can assemble an automated RFP response, including architecture diagrams, from a highly curated document corpus. Accenture built the application in a few days on Oracle Cloud Infrastructure (OCI) with Oracle Autonomous AI Database 26ai and Oracle Deep Data Security. Accenture also demonstrated that the platform can scale for 3X concurrent demand—300 simultaneous sessions with query latency of 15 seconds or less for the majority of queries.

Agent or tool
Oracle AI
Topic
Sales & Marketing
Reported on
Case study (Oracle)
Added
2026-11-11

Why it matters

Sales and marketing run on research, lists and follow-ups. Agents are starting to take on that groundwork, freeing people for the conversations that actually close deals. It is one of 613 sightings filed under Sales & Marketing on Agent Sightings (number 318 by interest), and one of 7 involving Oracle AI.

How you could try it

Here is a reusable prompt, written by us in our own words, that captures the task. Paste it into Oracle AI or any similar agent and adjust the details to your situation.

I want an agent to do the research and drafting for this sales or marketing workflow, and stop for my approval before anything is sent. The tool in the source case was Oracle AI.

Saved

Tip: Start small: run it once on a low-stakes example, read what the agent did, and only then let it run on real work.

Source

Read the original first-hand account on Case study (Oracle): https://oracle.com/customers/accenture. Our summary is a paraphrase; details are in the source.

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