Manual work does not scale
Exports, spreadsheets, handoffs, and one-off scripts turn simple requests into operational queues.
Concept: a governed enterprise AI operator
We are exploring a safer way for Salesforce, data, and operations teams to delegate one-off work across systems without surrendering control.
“Export my open Salesforce opportunities into a private Google Sheet.”
The operational gap
Exports, spreadsheets, handoffs, and one-off scripts turn simple requests into operational queues.
Traditional workflows are powerful once someone has anticipated, designed, and maintained every path.
Broad credentials and opaque execution are incompatible with enterprise authorization and accountability.
Proposed model: dynamic reasoning, deterministic execution
Discovery is being designed to separate reasoning from execution. The model would interpret intent while trusted infrastructure resolves identity, enforces policy, moves data, and records the outcome.
The intended trust boundary
The product is intended to prevent the agent from granting itself tools, expanding scopes, choosing endpoints, or overriding enterprise policy.
A deliberate product boundary
Not a drag-and-drop workflow builder.
Not blanket credentials for a general-purpose agent.
Not enterprise data flowing through a language model.
A governed operator for the work existing automation did not anticipate.
Join a research conversation
We are recruiting 30-minute conversations with enterprise operators, administrators, and security teams. No product access is currently promised.
Please do not submit customer data, credentials, or confidential business information.