The requests keep coming.
Operations wants an assistant. Engineering wants an investigator. Finance wants an analyst. Each team needs data, and each request lands in your backlog.
For the data team behind every AI project
Every team
wants AI.
Every request
lands with data.
CrossWeave gives your data team one place to connect company data, manage access, and understand how it’s used.
More teams supported. Less work repeated.
Your next AI access requestIllustrative example
“Can we give our site managers an AI assistant to investigate late orders?”
Source 01Orders
Already connected
Source 02Inventory
Already connected
Source 03Supplier notes
Already connected
Your data team’s viewOrder delay assistant
- Connections
- 3 existing connections reused
- Access scope
- Site managers · Their own site’s records
- Audit trail
- Order records read · Bristol site manager
Another team supported. The same place to manage access.
Before & after CrossWeave
More AI projects.
Less repeated work.
Move from separate integrations and access processes for every project to a shared foundation your data team can manage.
Before CrossWeave
Another project. Another integration.
Your data team rebuilds access for each request.
Requests from every team
Operations AIEngineering AIFinance AI
Separate integrations. Repeated reviews.
Business appsDatabasesDocuments
Your company data
- Separate connections to build and maintain
- Access decisions repeated across projects
- Usage scattered across teams and tools
With CrossWeave
One foundation. Ready for the next team.
Your data team manages access across projects.
Requests from every team
Operations AIEngineering AIFinance AI
CrossWeaveShared connections. Managed access.Business appsDatabasesDocuments
Your company data
- Reuse connections across AI projects
- Manage access around the person using data
- Review data usage in one place
The next team builds on the work you’ve already done.
The pressure on data teams
Demand is growing.
Your team isn’t infinite.
The business wants to move faster with AI. Your team has to make the data available, keep access appropriate, and support what comes next.
The work keeps repeating.
Another integration. Another access review. Another connection to maintain. Your team spends time solving the same problems for different projects.
The accountability stays with you.
As AI use spreads across tools and teams, you still need to know who can access company data and how that access is being used.
The CrossWeave approach
Build a foundation.
Support the next team.
Turn individual data requests into a repeatable way to support AI. Connect the systems once, manage access centrally, and carry that work forward to the next project.
Build with us in the public beta- 01
Connect the data your teams need
Bring business applications, databases, and documents into a shared foundation your data team can manage.
- 02
Manage access across projects
Apply access rules that follow the person using the data, wherever their team works with AI.
- 03
Support the next request
Reuse your existing connections and review data access across projects in one place.
Keep oversight as adoption grows.
Say yes to more.
Keep control of your data.
Your teams can choose how they work with AI. Your data team retains a shared place to manage the access behind it.
Reuse the work you’ve done
Support new workflows with existing data connections, instead of maintaining a separate integration for every project.
Keep access rules consistent
Manage access around the person using the data, so adopting another AI tool doesn’t mean abandoning your boundaries.
See how your data is used
Review who accessed what across teams and projects through one audit trail, rather than piecing activity together across tools.
Help shape what comes next
Bring the next request
in your backlog.
Join the CrossWeave public beta with an AI project your data team needs to support. Help shape a more repeatable way to provide access across your business.