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The agent
The system

Make OpenAI Assistants act in Snowflake — safely

OpenAI Assistants get the reasoning; Upware gets them into Snowflake — scoped queries, row-level security enforced, every read and write on the audit trail.

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Governed by policy & RBAC Full audit trail Outbound-only on-prem bridge No rip-and-replace
The gap

OpenAI Assistants stops at the Snowflake boundary

OpenAI's assistants call the tools you build them, but governing those tools across enterprise systems — RBAC, policy, audit, legacy reach — is the layer Upware provides.

Three ways to close it

Only one is governed

OpenAI Assistants alone
Acts in SnowflakeNo
Governedn/a
Auditedn/a
Custom API glue
Acts in SnowflakeSort of
GovernedYou build it
AuditedYou build it
OpenAI Assistants + Upware
Acts in SnowflakeYes
GovernedPolicy + RBAC
AuditedEvery action
In practice

A decision grounded in live warehouse data

A supply-chain analyst asks an OpenAI Assistant to identify which supplier contracts are at margin risk given last quarter's actuals. The assistant calls Upware's governed Snowflake skill, which replays a scoped query against the approved finance schema — honoring the column-masking policy that keeps raw cost fields out of the analyst's view. Results come back in seconds. The assistant reasons over them and drafts a recommendation. Upware logs the exact query, the identity of the caller, and the rows returned, so the data team can show auditors exactly what the AI touched and when.

The harness

AI to learn. Deterministic to execute.

Upware learns the process once and encodes it as a mostly-deterministic workflow: system interactions replay exactly, and any LLM steps are wrapped in policy, verification, and audit — so execution stays governed and drift-proof.

O
Observe & Learn
Records the real workflow once, across every system it touches.
G
Generate
Builds the API, data flow, and logic automatically — no integration project.
E
Encapsulate
Wraps it as a governed AI skill over secure MCP or API.
R
Run
Executes deterministically — RBAC, audit, and scale built in.
FAQ

Common questions

How does Upware enforce Snowflake's row-level security and column masking when an AI agent runs a query?
Upware wraps each Snowflake interaction as a governed skill with a fixed query scope defined at authoring time. The skill connects under a service account that already has the appropriate masking policies and RLS rules applied in Snowflake, so those controls are inherited — not reimplemented. The AI agent never touches raw credentials or constructs free-form SQL; it invokes the skill, and the skill executes deterministically within the permissions you defined.
Can Upware reach our Snowflake instance if it sits inside a private VPC with no inbound rules?
Yes. Upware's on-prem bridge uses outbound-only connectivity, so no inbound firewall rules are required. The bridge client runs inside your environment, opens an outbound connection to the Upware engine, and all Snowflake traffic flows through that channel. Your warehouse never needs to be reachable from the public internet.
We already have Snowflake's native integrations. Why add Upware for OpenAI Assistants?
Snowflake's native integrations handle data movement, not governed agent execution. Upware adds the layer that sits between OpenAI Assistants and your warehouse: RBAC so only authorized personas can trigger specific query patterns, a full audit trail that captures caller identity and query results, and the ability to include systems alongside Snowflake — legacy or otherwise — in the same skill without custom API work for each one.

Connect OpenAI Assistants to Snowflake

See a governed action go from recorded workflow to live in days.

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