Your team asks Claude or ChatGPT about the numbers in Snowflake, and every query runs only against the tables you approved for them.
Read from Snowflake when someone asks. Nothing exported, nothing copied, and changes only where you allow them.
Snowflake Data & warehouses 
FrontierOps Permissions, definitions, record 
Any AI The AI your team uses What was gross margin by region last quarter, compared with the same quarter last year?
Which customers used the product less this month than last month?
How many orders shipped late last week, and from which warehouse?
Insert, update and delete are three separate permissions, never on the User role. An admin decides which roles get each one. Every write is on record.
Already on dbt? We import the project (dbt Core is enough), and its definitions guide every answer from Snowflake.
The numbers already live in Snowflake. What is missing is a safe way for everyone else to ask them. FrontierOps gives each team the tables it is allowed to see, guides every answer with your definitions, and checks each query before it runs, so a sales manager gets the same revenue figure finance would.
An admin connects Snowflake one time. Nobody hands over a personal login.
Each answer is read at the moment of the question. Nothing is exported or copied, so there is nothing to keep in sync.
What each role can see and do holds in every AI your team uses, and in your own agents.
Every question and every action, by every person and agent, in one audit trail.
No. It sees the tables you approve, and each team can get its own set. A query that names any other table, or tries to look up the schema another way, is refused before it reaches Snowflake.
Keep them for your data team. FrontierOps is for everyone else: people without a Snowflake seat, each team limited to its approved tables, every question on record, and your CRM, support desk and billing next to the warehouse under the same permissions.
Only for roles an admin allows to write. Insert, update and delete are separate permissions, never on the User role, and limited to the tables you approved. Every statement is on record.
Yes, and one built for a whole company. FrontierOps gives Claude, ChatGPT and any other MCP client one connection to Snowflake, set up once by an admin. What each role can read or change is decided in FrontierOps, and every call is on record, instead of each person running their own server with their own login.
A direct connection links one AI to Snowflake through one person’s login, with that person’s settings. That works for one person. For a team it means no shared definitions, no single place to decide who can see or change what, and starting over when you switch AI. Through FrontierOps, Snowflake is connected once, for every AI and every agent, under one set of permissions, with every call on record.
HubSpot Ask Claude or ChatGPT about your contacts, companies and their activity in HubSpot, and have the follow-up logged in the CRM. Connect HubSpot to any AI 
Slack Claude or ChatGPT posts answers, files and charts in your brand colors to Slack, and reads the channels it is in to catch you up on a conversation. Connect Slack to any AI 
Google Sheets Paste a link and Claude or ChatGPT reads your Google Sheets, adds rows to your logs and fills in the cells you ask for. Connect Google Sheets to any AI