Oracle rolls out free AI agents across Fusion Cloud for marketing, sales and service

Oracle adds role-based AI agents to Fusion Cloud Sales, Marketing, and Service. Sellers get faster quotes, smarter recommendations, and clearer next steps without leaving CRM.

Categorized in: AI News Sales
Published on: Oct 07, 2025
Oracle rolls out free AI agents across Fusion Cloud for marketing, sales and service

Oracle adds AI agents to Fusion Cloud: what sellers can use right now

Oracle is rolling out role-based AI agents inside Fusion Cloud across marketing, sales and service. For sales teams, this means less admin, faster quoting and clearer next steps without leaving the CRM. These agents are included for Fusion Cloud subscribers.

Oracle's approach is simple: embed AI where you work so actions happen inside your workflow, not in a separate tool. Here's what matters for sellers and sales leadership.

What sellers get now

  • Deal Advisor Agent: Prepares product and pricing overviews, guides and customer references so reps can assemble deal collateral fast.
  • Quote Assistant Agent: Answers deal-related questions and streamlines quoting steps to reduce back-and-forth.
  • Product Recommendations Agent: Suggests cross-sell and upsell options based on history and preferences to grow average deal size.
  • Quote Summaries Agent: Condenses deal details, history and next steps so handoffs and follow-ups stay tight.
  • Contract Advisor Agent: Summarizes contract terms and obligations to surface risks and key clauses.
  • Lead Advisor Agent: Profiles lead behavior and engagement, then recommends next actions to keep momentum.

Result: cleaner pipeline, quicker proposals, sharper next-best-action. Managers get more consistent deal execution without adding meetings.

If your team uses Oracle Sales, these agents plug in directly to daily workflows. Learn more about the platform here: Oracle Fusion Cloud Sales.

Marketing agents that help your pipeline

  • Account Product Fit Agent: Prioritizes accounts most likely to buy by combining predictive scoring, account data and engagement signals.
  • Buying Group Definition Agent: Uses title-mapping algorithms to identify buying roles by industry and product for precise persona targeting.
  • Model Qualification Agent: Uses predictive models to recommend best-fit audiences and assess data quality for campaigns.

Translation for sellers: better targets, warmer leads and fewer mismatched intros.

Service agents that protect renewals and expansion

  • Triage Agent: Analyzes service requests by product, category, severity and sentiment to set priorities.
  • Self-Service Agent: Customer-facing guide for information and issue resolution via portals, sites and mobile apps.
  • Service Request Creation Agent: Converts chats, calls and emails into tickets automatically.
  • Work Order Agent: Generates prefilled draft work orders to speed dispatch.
  • Service Request Clustering Agent: Finds recurring issues by clustering similar requests.
  • Escalation Prediction Agent: Flags requests likely to escalate by evaluating sentiment and other attributes.

For account teams, this reduces surprise escalations, protects NRR and creates cleaner handoffs from support to success and sales.

Why this matters to sales leadership

  • Cycle time: Quote creation and approvals move faster with summaries and assistants.
  • Win rate: Better fit accounts and targeted buying groups reduce wasted touches.
  • Deal size: Intelligent product recommendations raise cross-sell and upsell hit rates.
  • Forecast quality: Clear next steps and contract insights reduce sandbagging and surprise slips.
  • Renewals: Early escalation signals and clustered issues cut churn risk.

How to roll this out in your org

  • Enable and permission: Turn on relevant agents in Fusion Cloud for Sales, Marketing and Service. Start with a pilot team.
  • Data readiness: Clean account hierarchies, titles, products and opportunity stages. Garbage in, noisy outputs.
  • Standard playbooks: Define when reps use each agent (e.g., Quote Assistant for all proposals over $25k; Contract Advisor before redlines).
  • Measure impact: Track quote turnaround, ACV, attachment rate, discounting and forecast accuracy pre/post rollout.
  • Governance: Set guidance on AI summaries vs. system of record. Keep deal notes and approvals inside Fusion.
  • Upskill fast: Run short sessions on effective prompts and workflows for each agent. If you need structured training, see curated options by role: Complete AI Training - Courses by Job.

Key takeaway

Oracle is embedding AI into the motions sellers already run-prospecting, quoting, referencing, negotiating and renewing. No extra platform, no context switching, and no added cost for Fusion Cloud subscribers. The teams that win will standardize how these agents get used across the deal cycle and measure the lift, week by week.