Use cases

What teams build on Deployments.ai

Product teams

Agents inside your SaaS product

Ship agent features your customers use in your app. Agents call functions inside your product through client-executed tools, stream responses into your UI, and keep memory and tool authorization scoped to each customer's workspace.

  • Client-executed tools
  • Durable Streams
  • Workspace-scoped memory
  • Usage metering

Vertical software

Vertical AI products

Build a focused product for one industry on a shared agent runtime instead of rebuilding infrastructure each time: releases, channels, agent email, approvals, and governance come with it.

  • Agents as code
  • Agent email
  • Channels
  • Governance

Customer experience

Support and success agents

Agents read tickets and inbound email, pull context through connectors such as Zendesk, Linear, and Notion, draft replies, and wait for a person's approval before writing back.

  • Agent email
  • Vendor MCP
  • Approvals
  • Slack

Operations & finance

Back-office automation

Durable workflows mix agent steps with deterministic tool steps, approvals with deadlines, and escalations — with sandboxed code for the data work in between.

  • Durable workflows
  • Approvals
  • Sandboxes
  • Signed audit exports

Knowledge work

Research and document work

Search, scrape, and crawl the public web, capture browser screenshots, parse files from artifacts, and answer from your own knowledge with cited Brain answers.

  • Web tools
  • Browser screenshots
  • Native Brains
  • Artifacts

Automation

Scheduled and event-driven agents

Schedules and heartbeats wake agents on a cadence, while semantic events and signed webhooks let the rest of your product react to every state change an agent makes.

  • Schedules
  • Heartbeats
  • Semantic events
  • Webhooks