What operations software do AI-native agencies need?
AI-native agencies need operations software that does 4 jobs: track tasks and owners, hold a human approval step, keep shared client context every AI tool can read, and log proof of work. Most stacks do the first 2. The last 2 decide whether AI saves time.
Job 1: tasks and owners. Who owns each piece of client work, people and AI agents alike.
Job 2: approvals. Nothing reaches the client without a named human yes.
Job 3: shared client context. 1 source of truth per client that ChatGPT, Claude, Gemini and your automations all read.
Job 4: proof of work. A record of what was done, by whom, and what was approved. Clients ask. You should be able to show it.
How AGL approaches it. AGL installs Portable Delivery Intelligence: the context, task, approval and proof layer that carries client context across the tools an agency already uses.
FAQ
- Can my project tool do all 4 jobs?
- Usually it covers tasks and some approvals. Shared client context and proof of work across AI tools are the common gaps.
- Do I need to replace my tools?
- No. The context layer should sit across the tools you already use.
- What should I measure?
- Accounts per person and revenue per employee.