What Sales as Code is

The idea

Most of a revenue team's week is recurring work that everyone agrees matters and nobody has time to do well: reading up on an account before a call, writing outbound that is not generic, reconciling a forecast, checking which renewals are drifting, answering the same security questionnaire again. It gets skipped, or it gets done badly at 11pm.

Sales as Code runs that work on a schedule instead. There is one product per role, nine of them, and each one ships a real cron table: the runs happen whether or not anyone opens the app, and every run is recorded.

How it works

• It is hosted. The work runs on our servers. There is no app to install and no plugin to keep updated. You buy a seat, connect your tools, set the schedule, and read what came back.
• It is draft-first. Agents prepare drafts and stage them for approval. Nothing reaches a prospect, a customer, or a channel without an explicit yes from a person. Outbound-capable products also carry volume governors, so an approved sequence cannot quietly wreck your deliverability.
• It is vendor-agnostic. You configure your own company in Settings, and the product rebrands its interface, its prompts, and its exports around you. Nothing assumes a particular CRM or a particular way of selling.
• It is programmable. The same tools the scheduled agents call are exposed over a public API, as REST and over the Model Context Protocol. See the API reference and the OpenAPI specification.

What we do with your data

Because the work runs on our servers, we process the data you connect: your CRM, your inbox, your calendar. Each token is stored encrypted and read only on the schedule you set. We do not sell that data, share it with advertisers, or use it to train models, and you can revoke any connection at any time.

The full picture, including our subprocessors and our compliance posture stated as it is today rather than as a roadmap, is on the trust and security page. The legal versions are in the privacy policy, the terms, and the DPA.

Where to go next

• Pricing: every product, what it does, what it costs.
• Watch it work: real runs, as they happen.
• Docs: setup, concepts, and a page per feature.
• Free GTM audit: a read on your motion before you buy anything.
• Contact: reach a person.
• llms.txt: the same story, written for an AI assistant.