Set up each brand, product or client as a project with its own contacts, campaigns, tickets, issues, content and work items.
How it works
Give Agents business context, work state and permission boundaries.
Agent Suite sits between your AI Agents and your day-to-day operational records. It gives Agents a structured place to read, prepare and hand over business work.
Store the rules, approved claims, escalation notes and operating policies Agents should follow when preparing work.
Codex, ChatGPT Agents, Claude, local Agents or another connected Agent can read records, create drafts, file internal notes and prepare next actions.
Outbound messages, customer commitments, public claims and risky cases move through approval before anything leaves your control.
Operating model
One local operations layer for your Agents
Agent Suite keeps business records, policies and approvals in one lightweight local place so connected Agents can work from shared operational state.
Projects, contacts, tickets, campaigns, content, work items, approvals, audit logs and handover state.
Approved claims, escalation rules, customer-service boundaries and permission requirements stay close to the work.
Agents research, draft, triage, summarise, plan and propose actions inside the boundaries you define.
Autonomy levels
Move from drafts to automation carefully
| Level | What Agents may do | Good fit |
|---|---|---|
| Research | Read records, retrieve context and summarise. | Market research, customer history, issue background. |
| Draft | Create proposed replies, posts, tasks, tickets and content. | Support replies, campaign drafts, project plans. |
| Approval required | Prepare an action and wait for human approval. | Outbound marketing, customer commitments, public claims. |
| Bounded internal action | Perform low-risk internal updates under written policy. | Create internal tasks, update status, save handover notes. |