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The agent
The system

Make Writer act in Snowflake — safely

Writer agents reason over your data and surface the answer — Upware carries the action into Snowflake with row-level security, masking, and a full query audit trail intact.

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

Writer stops at the Snowflake boundary

Writer's agents generate and reason well, but executing governed actions across operational systems needs an execution and policy layer beneath them.

Three ways to close it

Only one is governed

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

From insight to governed write-back

A finance analyst asks Writer to pull regional churn numbers, compare them to plan, and post a summary table to the reporting schema. Writer reasons through the request and hands off a structured action to Upware. Upware's on-prem bridge executes a scoped query against the approved Snowflake tables — honoring the analyst's role-based permissions and the column masking policies already set in the warehouse. Once the comparison is computed, Upware writes the result back to the designated output table, logs the query parameters and timestamp to the audit trail, and returns a confirmation to Writer. The analyst gets the answer; the data team gets the audit entry.

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

Does Upware bypass Snowflake's row-level security and masking policies when executing queries?
No. Upware learns which Snowflake user context and permissions to operate under during the recording phase, and all queries execute within those bounds. Masking policies and row-level security are enforced by Snowflake itself — Upware does not route around them. You get agent-driven access that respects the same controls your human analysts operate under.
We store regulated financial and customer data in Snowflake. How does Upware handle data minimization?
Upware's bridge runs on-premises in your environment, so query results and any sensitive values never transit through Upware's cloud. The system is designed around data minimization: only the data needed to complete a specific governed action crosses the bridge, and only in the direction you authorize. Each query is logged to the audit trail for compliance review.
Writer already has connectors and APIs. Why do we need Upware to act in Snowflake?
Native connectors handle authenticated reads well, but they don't enforce action-level policy, maintain a tamper-evident audit log per query, or manage write-back permissions scoped to specific tables and roles. Upware adds a governed execution layer: RBAC controls which agents can run which actions, every operation is logged with the requester, parameters, and outcome, and write actions require explicit policy approval. That's the difference between connected and governed.

Connect Writer to Snowflake

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

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