The same governed runtime that runs our live Shopify order actions, pointed at your revenue stack: read your CRM and warehouse, answer pipeline questions in Slack, and route every write through an approve-execute-audit gate. The foundation is shipped; we are forming a small group of early-access design partners.
Read-only, buyer-touchable
A read-only RevOps agent over a seeded Salesforce org, answering in Slack. No writes, no risk -- the fastest way to feel how a governed agent reasons over your revenue data.
Illustrative of the seeded demo. Numbers and records are from a seeded Salesforce org, not a customer's data.
One governance model
Governed connector writes to systems like Salesforce, Klaviyo, and Marketo follow the same model as our Shopify order actions: draft the write, hold it behind a risk-tiered approval, execute, and log it. The two run on different execution paths, but the governance is identical -- and the Shopify order-action gate is live in production today, which is the un-fakeable proof the runtime ships.
Where the GTM lane stands
We would rather be precise than impressive. Here is exactly what is built versus what is still early-access.
Shipped
Early-access / forming
How Archet is different
vs. building in-house
The runtime, connectors, approval gates, and audit are the undifferentiated 80% your team would otherwise build and keep on-call. Point Archet at your stack instead of standing up a platform.
vs. Clay
Clay is the workbench for enrichment and lists. Archet is the governed operator that takes the action and logs it. They compose -- Archet doesn't replace your data tooling.
vs. Agentforce & Sierra
Org boundaries and approvals are enforced in code, at the SQL and JOIN level -- not prompt-only guardrails. Measured by the work agents complete, not tokens burned.
We are working with a small number of teams to shape the governed GTM lane. If governed, auditable agent actions over your revenue stack is what you need, let's talk.