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The agent
The system

Make Cohere North act in Snowflake — safely

Cohere North reasons over your private data in Snowflake; Upware carries out the query, respects masking and row-level security, and logs every action to an immutable audit trail.

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

Cohere North stops at the Snowflake boundary

Cohere's agents reason over your data, but taking governed, auditable action in systems of record needs a dedicated execution layer.

Three ways to close it

Only one is governed

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

From insight to governed write-back

A procurement analyst asks Cohere North to surface suppliers whose contract margins have slipped below threshold this quarter. Cohere identifies the relevant dataset and hands the query to Upware. Upware's on-prem bridge runs a scoped, policy-bound query against the approved Snowflake tables, honoring column masking and the row-level security policies already defined in the warehouse. The results come back to the agent exactly as a human analyst with the same permissions would see them. Once the analyst confirms the recommendation, Upware writes the flagged supplier list to an approved output table and logs the full query sequence, the user identity, and the timestamp to the audit trail, with no raw data ever leaving the governed path.

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

Snowflake already has fine-grained access controls. Why does an agent need Upware on top of that?
Snowflake's controls govern who can query which data, but they don't govern how an AI agent formulates, scopes, or sequences those queries at runtime. Upware wraps each agent action in policy: it enforces query scope, prevents ad-hoc DDL, and writes every interaction to an audit trail your compliance team can actually read. The agent stays inside the guardrails you set, not just the ones the warehouse can see.
We have regulated data in Snowflake. Does Upware send any of that data to an external service?
No. Upware uses an outbound-only on-prem bridge that sits inside your network perimeter. The bridge executes queries against Snowflake locally and returns only what the agent needs; raw warehouse data does not transit to Upware's cloud. This architecture is designed to satisfy data-residency requirements and works alongside your existing Snowflake private-link or VPC configurations.
How does Upware handle Snowflake actions that require write access, like inserting or updating rows?
Write actions are treated as distinct, policy-controlled skills. You define exactly which tables an agent may write to, under what conditions, and Upware enforces those rules deterministically at execution time, not just at prompt time. Every write is logged with the agent identity, the triggering context, and the affected rows, giving you the same audit trail for writes that your DBA already expects for sensitive reads.

Connect Cohere North to Snowflake

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

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