agents · CAT-30030932 · rev 1.0|
Snowflake Cortex Agents. @snowflake-cortex-agents
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Rated 5.0 / 5 by clients on GoodFirms.
Read verified reviews on GoodFirms →Vetted by Scrums.com Platform
Provider Snowflake
Last review 2026-08-14
What you get
the numbers that matterPriced on scope
starting price
≈ 2 weeks
signed to first PR
96%
engagements renewed
96%
to your stack & domain
Enterprise agents from Snowflake that orchestrate access to structured and unstructured data and tools inside the Snowflake platform.
How this operator works
every way of working, already decidedOwns the system, not the ticket
Takes end-to-end ownership of a service or surface. Design, delivery, on-call. And is measured on outcomes, not hours.
Embedded, async-first, instrumented
Works inside your repos, your CI and your rituals. Daily written standups, decisions logged. No status-meeting tax.
Runbooks, canaries, reversible deploys
Every change gated and reversible. Incidents get a timeline and a postmortem; nothing ships without a rollback.
Plugged into your Slack & rituals
Joins standups and retros, reports weekly against the goal. You get an operator, not a queue.
Brings a pre-wired stack or adopts yours
Infrastructure and observability as code by default. No bespoke setup tax to absorb.
Scoped, gated, reversible
Week-1 shadow, week-2 ownership, swap on request inside the trial window. No long-tail handover risk.
Overview
Snowflake Cortex Agents are enterprise agents that run inside Snowflake. They orchestrate access to structured and unstructured data and to tools, so users and applications can ask questions and trigger work against governed Snowflake data without moving it out of the platform.
Through Scrums.com, Snowflake Cortex Agents is listed on the catalog and deployed by Scrums.com delivery teams. They integrate it into your stack, apply your governance rules, and track its operation on the SEOP.
What it does
Structured-data querying
Agents answer questions over structured data in Snowflake, translating requests into governed data access.
Unstructured-data retrieval
Agents also draw on unstructured content managed in Snowflake, combining it with tabular data in one response.
Tool orchestration
Agents plan across data access and tools, sequencing the steps needed to complete a request.
Snowflake-native governance
Access follows Snowflake's existing role-based access controls, so agents only see what the querying user is allowed to see.
Deploying it with Scrums.com
- Scope. Scrums.com runs a fit assessment against your workflows and governance requirements, including which datasets and roles agents should serve.
- Integrate. Scrums.com engineers wire it into your repos, pipelines and tools with guardrails, building the agents against your Snowflake account, semantic definitions and access roles.
- Operate. The deployment runs under governance, with usage and outcome reporting via the SEOP.
Commercial availability
Cortex Agents are a commercial capability of the Snowflake platform, billed on Snowflake's consumption model. Procurement runs through your Snowflake agreement; Scrums.com supports the commercial process as part of a deployment.
FAQs
How is this different from a BI dashboard?
Dashboards answer pre-built questions. Cortex Agents take open requests, plan across structured and unstructured data and tools, and return grounded answers - inside Snowflake governance.
What does deployment need?
A Snowflake account with Cortex features enabled in your region, plus roles, warehouses and data definitions for the agents to work against.
How is data access controlled?
Agents operate inside Snowflake and inherit its access controls; data does not leave the platform for the agent to use it. Scrums.com maps agent scopes to your roles and records usage on the SEOP.
What's included
in every engagement · no add-onsTrack record
deployments on real systems · anonymizedWorks inside your stack
surfaces this operator binds toBoundaries
what to deploy insteadScoped to this discipline. For an adjacent capability, compose a second operator into the squad. compose →
Not a fractional advisory engagement. For advisory-only, contact platform@scrums.com.
Deployments
the only social proof we publish402deploys
across 38 organizations
+24 last 30 days · median age 11.4 mo · retention 96%
Live telemetry
this operator's system surfacePricing
one number · one footnotePriced on scope
All-in: the operator, delivery manager and replacement guarantee. No recruiter fee, no markup surprises.
Final pricing computed at deploy from your committed envelope, region and account tier.
FAQ
common questionsHow is Snowflake Cortex Agents priced?+
Priced on scope. Request a quote and pricing is computed from the work envelope.
Is Snowflake Cortex Agents available now?+
Yes. It is published and deployable directly from the Scrums.com catalog.
Can a Snowflake Cortex Agents deployment be reversed?+
Yes. Deployments are reversible with a one-click swap inside the trial window.
Who provides Snowflake Cortex Agents?+
Snowflake, vetted by the Scrums.com platform.
How it compares
vs other agents| Option | From | Stack | Status |
|---|---|---|---|
| Snowflake Cortex Agents · this one | Priced on scope | agent · ai-agents · data-agents | ● available |
| Qdrant MCP Server | Priced on scope | mcp · qdrant · vector database | ● available |
| Pinecone MCP Server | Priced on scope | mcp · pinecone · vector database | ● available |
| Databricks SQL MCP Server | Priced on scope | mcp · databricks · sql | ● available |
Commonly deployed with
more agentsQdrant MCP Server
Qdrant MCP Server gives approved AI clients access to qdrant vector-memory workflows for storing and retrieving semantically relevant context. It is most valuable where teams want to provide engineering agents with an explicit semantic memory or retrieval layer for code and technical knowledge.
Pinecone MCP Server
Use Pinecone MCP Server to connect engineering agents with pinecone documentation, index management, upserts and vector queries. The key operational benefit is to let AI engineers build and operate retrieval systems directly from their coding agents.
Databricks SQL MCP Server
Databricks SQL MCP Server is a first-party MCP surface for aI-generated SQL against Unity Catalog tables with read/write governed by Databricks permissions. The engineering-leadership use case is straightforward: connect engineering and data agents to governed SQL execution over enterprise data.
Priced on scope