By Heli and Marko Helskyaho

Even Korvatunturi (Santa lives in Korvatunturi, not in North Pole!) upgraded to Oracle AI Database 26ai this year, and Select AI Agents turned Santa’s centuries-old operation into a fully autonomous, real-time gift-delivery intelligence system, all inside an Oracle Autonomous Database.

The Korvatunturi Use Case (100% real code, 0% reindeer magic) was built by Santa’s elves. They built five Select AI agents using the new DBMS_CLOUD_AI_AGENT package. Each agent is a first-class database object, runs inside the database, and inherits the same security policies that protect the Naughty/Nice list. We all know how important and sensitive that data is!

The five AI Agents (NiceList Analyst, WishList Resolver, Sleight Route Optimizer, GiftWrap Foreman, and Reindeer Health Copilot) are described in the table below. All the agents work in Santa’s team ‘SantasAgents’.

Agent Name	Short Job Description	Key Tools Used
NiceList Analyst	Answers “Have I been naughty or nice?” with evidence.	RAG + Vector Search on behavior logs
WishList Resolver	Turns “I want a puppy that never grows” into actual catalog items.	NL2SQL + Hybrid search across toy catalog
Sleigh Route Optimizer	Re-calculates delivery route when a kid moves or adds 11th-hour wishes.	Graph analytics + REST to a weather API
GiftWrap Foreman	Triggers robotic gift-wrapping stations when inventory runs low.	PL/SQL procedures + external REST
Reindeer Health Copilot	Monitors key metrics (tracks carrot consumption, flight endurance, rest cycles, environmental factors etc.) and predicts the wellbeing of Santa’s reindeer fleet. It flags potential problems early and recommends actions, for example, extra oats for Rudolph or a vet check for Comet.	Time-series JSON + LLM reasoning

In the next blog posts we will investigate in more detail what these AI Agents do and how they have been implemented.