How it works

Give agents business context, work state and permission boundaries.

Agent Ops 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.

1Create project workspaces

Set up each brand, product or client as a project with its own contacts, campaigns, tickets, issues, content and work items.

2Connect context when useful

Agent Memory can provide brand voice, policies, source material and project notes while Agent Ops Suite holds operational state.

3Let agents prepare the work

Codex, Agent Robbie or another agent can read records, create drafts, file internal notes and prepare next actions.

4Approve external impact

Outbound messages, customer commitments, public claims and risky cases move through approval before anything leaves your control.

Operating model

Three clear layers

Each layer has a simple job, which keeps the system lightweight and easier to trust.

Agent MemoryContext layer

Durable memory, brand voice, source-linked notes, policies, approved answers and compact context packs.

Agent Ops SuiteOperations layer

Projects, contacts, tickets, campaigns, content, work items, approvals, audit logs and handover state.

AI agentsWork layer

Agents research, draft, triage, summarise, plan and propose actions inside the boundaries you define.

Autonomy levels

Move from drafts to automation carefully

LevelWhat agents may doGood fit
ResearchRead records, retrieve context and summarise.Market research, customer history, issue background.
DraftCreate proposed replies, posts, tasks, tickets and content.Support replies, campaign drafts, project plans.
Approval requiredPrepare an action and wait for human approval.Outbound marketing, customer commitments, public claims.
Bounded internal actionPerform low-risk internal updates under written policy.Create internal tasks, update status, save handover notes.