One agency. One MCP.
Every client account.
Org-shaped AI for PPC teams. Personal tokens off laptops, scoped delegation per client, full audit trail. A senior analyst across every account, on call.
Book a pilotWhy DIY MCP and generic dashboards both fall short
DIY MCP
Tokens fan out across analysts' laptops. No audit trail. Admin nightmare. Bad client optics when something leaks.
Generic dashboards
No org model. No agentic depth. Your team still writes the report — the dashboard just gives them prettier numbers.
Connect each client once, at the org level
Client A
Scoped delegation
Client B
Scoped delegation
Client C
Scoped delegation
Web
For your team
Slack / WhatsApp
For your team
MCP
Bring your own AI tokens
Tokens belong to the agency, not a person's laptop. Scope per client. Revoke in a click. Defensible to your clients.
Ask anything across every client
"Walk me through this client's account."
"Why is this client's Performance Max spend up 20%?"
"Which clients have feed health issues right now?"
"Draft a Monday update for client X — wins, losses, what changed."
"Which of our clients lost top performers to disapprovals last week?"
"What changed across the agency in the last 7 days?"
Built for agencies that take audit seriously
Tokens belong to the agency. Analysts log in to their seat, not to the connection.
Each teammate sees only the clients you scope them to. Revoke in a click.
Every agent action: who, what tool, which account, what came back.
Use your own model account via MCP path. Your data, your contract, your bill.
Data stays in EU regions. Configurable for stricter contractual requirements.
Read-only by default. Future write scopes opt-in per client.
- Org-level OAuth ·
- Scoped delegation ·
- Full audit log ·
- EU residency ·
- Read-only by default ·
- Bring your own AI tokens
Three capabilities, shipping in this order
A senior analyst across every client
Reads everything, joined. Answers anywhere your team works.
- Web, Slack, WhatsApp, your own MCP host
- Scheduled check-ins
- Conversation history per client
Review-and-approve change plans
The agent proposes changes per client. Plain English. You approve. It applies.
- Atomic execution with rollback
- Per-client approval workflows
- Audit log every change
Agent-authored, sandboxed strategies
A bespoke product-labelling strategy written for each client's catalogue, run safely.
- Sandboxed execution
- Output reviewed before apply
- See /labelling for what ships today
Run a pilot with us
1 agency · 3–5 clients · 4 weeks · full reporting + governance scope · weekly sessions · Slack to engineering. Walk away clean if it isn't right.
