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Accelerator · Oracle Cloud

Agentic AI on OCI Autonomous Data Warehouse

CognitiveBricks helps enterprises stand up a governed AI data foundation on Oracle Autonomous Data Warehouse—combining autonomous operations, vector search, Select AI, and OCI Gen AI services for production agents and analytics.

Self-driving warehouse, production AI, brick by brick.

Autonomous opsVector searchSelect AIOCI Gen AI

OCI AI data stack

Sources & lake

Object Storage · streaming · SaaS

Autonomous DW

ADW · tuning · scaling · patching

Semantics & vectors

Select AI · embeddings · graph

Governance

Vault · IAM · network · audit

Agent orchestration

OCI Gen AI · tools · RAG · eval

70%

Typical reduction in DBA toil via autonomous operations

1

Governed data plane for BI, SQL copilots, and agents

4–8 wks

Typical path from blueprint to first production agent

Why AI initiatives stall on legacy warehouses

Teams need a warehouse that runs itself while serving both BI and agent workloads—with lineage, entitlements, and retrieval surfaces in one governed estate.

  • DBAs spend cycles on tuning and patching instead of enabling AI-ready data products and agent toolchains

  • Embeddings and RAG pipelines sit in separate silos from the curated warehouse tables agents should trust

  • Natural-language analytics experiments never graduate because SQL copilots lack governed semantic context

  • Security teams block agent access when row-level policies, audit trails, and secrets handling are unclear

  • Batch analytics and real-time agent actions compete for the same data without a shared operational model

Accelerator capabilities

OCI Autonomous Data Warehouse focus areas

Agentic AI data foundation on Oracle Cloud—autonomous warehouse operations, governed retrieval, and production agents on OCI Gen AI.

Autonomous foundation

Self-driving warehouse with enterprise guardrails

Deploy and operate ADW with autonomous tuning, scaling, and patching—while network isolation, encryption, and OCI IAM encode your security baseline from day one.

  • Landing zone design with private endpoints and compartment isolation
  • Autonomous provisioning, backup, and patch automation
  • Workload isolation for dev, staging, and production agents
  • Cost and performance monitoring with FinOps tagging

Reduce operational toil while keeping audit-ready controls.

AI-ready data plane

Vectors, Select AI, and curated marts for humans and agents

Model business entities once—then serve dashboards, SQL copilots, and retrieval-augmented agents from the same governed tables, views, and embedding indexes.

  • Vector indexes and hybrid search over warehouse and lake objects
  • Select AI and natural-language-to-SQL with semantic guardrails
  • Medallion zones: bronze ingestion, silver curation, gold marts
  • Data catalog integration with lineage for agent context

One trusted data plane for analytics and autonomous workflows.

OCI Gen AI integration

Agents grounded in ADW with OCI AI services

Wire OCI Generative AI, document understanding, and agent frameworks to ADW-backed tools—with evaluation harnesses, human-in-the-loop gates, and observability built in.

  • RAG pipelines over Object Storage and warehouse marts
  • Tool-calling agents with parameterized SQL and API actions
  • Prompt and retrieval evaluation with regression suites
  • Integration with OCI API Gateway, Functions, and events

Ship production agents that cite governed data—not shadow copies.

Governance & compliance

Policy, lineage, and audit for regulated workloads

Row-level security, dynamic masking, Vault-managed secrets, and continuous compliance evidence—so security and legal teams sign off on agent access to sensitive domains.

  • RBAC, row-level security, and data masking policies
  • OCI Vault and key management for credentials and tokens
  • Audit logging across SQL, API, and agent tool invocations
  • Alignment with AI readiness and model risk frameworks

Expand agent scope without expanding audit risk.

Engagement roadmap

A phased accelerator from ADW landing zone to governed agents—aligned to your data maturity and compliance requirements.

01

Assess & blueprint

Weeks 1–3

  • · Use-case inventory
  • · ADW sizing & landing zone
  • · Governance baseline
02

Data foundation

Weeks 2–6

  • · Ingestion pipelines
  • · Gold marts & catalog
  • · Vector indexes
03

AI surfaces

Weeks 5–10

  • · Select AI pilots
  • · RAG over ADW
  • · Eval harness
04

Production agents

Parallel rollout

  • · OCI Gen AI agents
  • · Observability & HITL
  • · Compliance evidence

Ready to build with CognitiveBricks?

Book a strategy session with our architects to map your agentic AI roadmap, platform foundation, and first production use case.