Your data already sits in Snowflake. Your business teams still wait days for an answer — Snowflake CoWork, formerly Snowflake Intelligence, lets business users ask questions of governed data in plain language, inside a Snowflake account stored in Mumbai or Pune, billed by the token in AI credits.
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This page covers Snowflake CoWork — the business-user work agent, formerly Snowflake Intelligence. The rest:
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
An agent that takes a plain-language question and answers it from governed company data, without a report request.
What consolidation actually replaces, dimension by dimension.
| Dimension | Requests queued for the analyst team | Snowflake CoWork |
|---|---|---|
| Who answers a data question | An analyst, from a ticket queue | The person asking, in plain language |
| Where the data goes | Extracts copied into a BI tool | Stays in the Snowflake account |
| Whose permissions apply | A second set kept in the BI layer | The account’s own roles and policies |
| How it is paid for | Named-user licences, used or not | AI credits by the token, as used |
| Time to a first answer | Days, once the request is triaged | One conversation with the agent |
| What it is NOT | — | Standalone, seat-priced, or analyst-ranked |
The cheapest test is a three-question pilot: one team, tables already described, and an AI-credit budget alert set before day one.
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
CoWork is not a separate SaaS tenant: it runs inside a Snowflake account and reads tables in whichever edition and cloud region that account uses, Mumbai and Pune included.
Snowflake pitches CoWork at governed data. The access roles and Horizon Catalog policies live in the same account, and Horizon ships with the platform rather than as a priced extra.
Behind the chat window, Cortex Analyst and Cortex Agents do the work; their calls are metered in AI credits per million tokens, at a rate that depends on the model chosen.
Press coverage of the June 2026 relaunch lists user skills, memory, a skill catalog and MCP connectors to Google Drive, Salesforce and Slack; confirm each in your region.
An agent inside your Snowflake account — Cortex does the reasoning, your roles decide what each user sees.
Snowflake CoWork answers business questions from governed data without leaving the Snowflake account.
A sales head types a question about margin or churn and gets an answer built from tables already loaded into the Snowflake account.
User Memory, one of the features listed at the relaunch, is meant to keep a person’s context between sessions; test what it retains.
User Skills and a shared Skill Catalog let a team package a recurring analysis once, so colleagues run it instead of rebuilding it.
MCP connectors to Google Drive, Salesforce and Slack, as reported, bring documents and CRM records into the same conversation.
The agent works in the account where roles and Horizon Catalog policies are set, so data stewards govern one place, not two.
Cortex AI Gateway, built on Snowflake’s 2026 Natoma purchase, is Snowflake’s new layer for agent identity and MCP access control.
The June 2026 CoWork introduction, the general-availability announcement under the Snowflake Intelligence name, and a plain-language demo from 2025.
Snowflake’s own introduction to CoWork under its new name, aimed at business users rather than data engineers.
The GA announcement, made under the product’s former name, Snowflake Intelligence, seven months before the rename.
A walk-through of plain-language questions over account data, recorded when CoWork was still called Snowflake Intelligence.
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Book a guided demo →Here’s what genuinely sets it apart — and exactly where it stops.
Most AI analytics tools sit outside the warehouse and query into it, so permissions live in two places. CoWork runs inside the Snowflake account itself, next to the roles and Horizon Catalog policies, and that account’s storage can be in AWS Mumbai or Azure Central India (Pune).
Snowflake bills the Cortex calls behind CoWork in AI credits by the token, at $2.00 for a Global credit or $2.20 for a Regional one. A finance head asking five questions a month costs little; a team running heavy analyses daily costs far more, so set a cap.
General availability came in November 2025, when the product was still Snowflake Intelligence. By the quarter ended July 2026 Snowflake reported 5,800 accounts on CoWork, alongside new Cortex Sense and Cortex AI Gateway. Expect features to keep moving.
It needs a Snowflake account; unlike Observe it is not sold on its own. Data outside Snowflake arrives only through connectors. Snowflake prints no cost per answer, no analyst has placed it, and the October 2026 end of password-only sign-ins applies to the account it runs in.
List the questions business teams wait longest for, and check the tables that answer them are already in Snowflake.
Add plain descriptions to the tables and columns involved, and confirm the roles that limit who sees which rows.
Give a single team CoWork, log the questions they ask, and compare each answer against the analyst’s own version.
Total the AI credits the pilot used, find the heaviest users and models, and set a budget alert before you widen access.
Package repeat analyses as skills, decide which MCP connectors are allowed, and roll out team by team with a cap.
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
“Regional managers now ask for weekly sell-through themselves; our two analysts stopped answering the same question forty times.”
“Security liked that nothing left the account we already audit. The review took a week instead of the quarter we feared.”
“Token billing surprised us in month one when one team ran long analyses daily. A resource budget fixed it, but set it first.”
“Answers were only as good as our table and column descriptions. Cleaning those up mattered more than any prompt tweak.”
Analyst firms bury this view behind paywalls, and G2 retired its Grid. So here’s TechBag’s synthesis of the AI analytics agent market — tap any vendor to see why it sits where it does.
Execution strength vs product vision — the classic market map, minus the paywall.
5,800 accounts by July 2026; metered in AI credits.
The grid nobody publishes — how far an agent reaches beyond one platform’s data vs how firmly its answers are tied to governed definitions and permissions.
One account’s rules; reaches out by MCP connectors.
Positions are TechBag’s illustrative synthesis of public review-platform data and vendor documentation — not a reproduction of any analyst graphic. Verify before relying on it.
Against ThoughtSpot Spotter, Power BI Copilot, SAP Analytics Cloud, Databricks Genie and Salesforce Agentforce — on data reach, pricing, limits, trust and India.
| Dimension | Snowflake CoWork | ThoughtSpot Spotter | Microsoft Power BI Copilot | SAP Analytics Cloud | Databricks Genie | Salesforce Agentforce |
|---|---|---|---|---|---|---|
| What it is | Agent in the warehouse | Agentic AI analyst | Copilot inside BI | BI, planning, predict | Databricks AI for users | CRM agent platform |
| Deployment | Inside your account | ThoughtSpot Cloud | Fabric capacity | SaaS run by SAP | In your workspace | Salesforce platform |
| Data it reads | Snowflake + connectors | Several warehouses | Fabric workloads | SAP-centred sources | Lakehouse tables | Customer data first |
| Pricing model | Tokens in AI credits | Quote, premium | Draws on capacity | Quoted by SAP | Free to 31 Jan 2027 | Three models |
| Published entry price | $2.00 per AI credit | Not published | F2 ~$262 a month | Not printed | $0 for users, for now | ~$2 per conversation |
| Included vs add-on | Needs a Snowflake bill | Sold with ThoughtSpot | Needs Fabric capacity | Joule licensed in | Genie Code is metered | CRM seats underneath |
| Scale and limits | Spend is the limit | Not published | Can throttle Fabric | Not published | Free window ends | Credits drawn down |
| Trust and grounding | Same-account policies | Semantic model | Models plus Q&A | SAP data layer | Domain agents | Trust layer, Data 360 |
| Integrations | MCP: Drive, Slack, CRM | Embeds in apps | M365 and Excel | SAP applications | Dashboards and Apps | Slack and voice |
| Access and sign-in | MFA mandatory now | Not detailed here | Admin and group control | Ask SAP | Principals are billed | Guardrails in Builder |
| India storage region | Mumbai or Pune | No India region | Prompts go to the US | Not published | Mumbai workspace | Hyperforce India |
| Trial and support | Trial with credits | Quote first | No trial capacity | Quote per deal | Free until 2027 | INR pricing |
| Lock-in and exit | Tied to Snowflake | Warehouse-agnostic | Tied to Fabric | SAP-centred models | Tied to Databricks | Tied to Salesforce |
| Best fit | Snowflake-first firms | Multi-warehouse BI | Microsoft estates | SAP finance teams | Databricks lakehouses | Customer-facing work |
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
TechBag has no AI analytics agents guide yet, so Snowflake CoWork sits outside the category guides. Browse all products to compare it with the rest of the catalogue. →
Drag the sliders (business users who ask data questions; their loaded hourly cost). Estimates model time lost raising, chasing and waiting on ad-hoc data requests at an assumed 1.5 hours per user a year, with 70% of it removed by self-service answers. Both figures are assumptions, and AI-credit spend is not included. Illustrative.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models your actual environment and modules.
Published: Snowflake bills the Cortex calls behind CoWork by the token in AI credits — $2.00 for a Global credit, $2.20 for a Regional one — with no flat fee, and CoWork needs a Snowflake account whose warehouse credits ($2–$6 by edition in Mumbai and Pune) are billed separately. TechBag pilots first, sets a monthly AI-credit cap, then quotes in INR with GST.
Best for a first pilot with one team
Best for a broader rollout
Best once usage is known
Whatever the list prices above, TechBag negotiates a significantly better deal — with GST-compliant INR invoicing and local support. Ask us for your discounted quote.
Tell us your requirements and current tools — we’ll model it against what you spend today.
Take this into your next vendor call — including ours.
Is the data already in a Snowflake account, and is that account in AWS Mumbai or Azure Central India (Pune)?
Which five questions should a pilot answer, and who checks the agent’s answers against a known result?
Are tables and columns described clearly enough for a business user’s wording to land on the right field?
Do existing roles and row policies already stop people seeing what they should not, before CoWork reaches them?
Which models will answer, Global or Regional AI credits, and what monthly cap stops one team running away with it?
Which MCP connectors — Google Drive, Salesforce, Slack — are allowed, and who approves adding another one?
Before October 2026, which service accounts still sign in by password alone, and who will re-key them?
Does the quote separate warehouse credits from AI credits? Ask for INR with GST and a capacity-versus-on-demand view.
Model how many people will ask questions and how often, or let a TechBag advisor scope a pilot that gives one business team CoWork on data you already hold in Snowflake.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.