One instruction.Many governed actions.
Hand the AI the goal — turns it into a plan, one approval executes every step, and you can it mid-flight.
Analyze → strategize → deploy.
One loop, two domains — paid media and AI search — every surface, every client.
Analyze
Live reads across Google Ads, Meta, GA4, Search Console and AI-search rankings — one question, every platform.
Strategize
The AI drafts the plan as concrete changes — budgets, keywords, creative, content — grounded in the account's own data.
Deploy, governed
Every write is a dry-run diff behind your approval. New campaigns launch paused. Everything is logged.
The whole stack, one address.
Agentic control only works if the agent can reach everything. One Offloda connector exposes every client's platforms to Claude, ChatGPT or Slack — scoped per seat, isolated per tenant, with the same governed actions on every surface. No per-platform plumbing, no credential sprawl.
- Every platform behind one MCP connector
- Per-seat brand and platform scoping, enforced server-side
- The same actions from Claude, ChatGPT, Slack — or the REST API
Delegation without blast radius.
The approval gate
Dry-run → confirm → acknowledge-critical. The AI proposes; a human disposes. Always.
Tenant isolation
Every client is its own tenant, enforced at the database layer. An agent can never wander across accounts.
The audit trail
Who asked, what changed, when it was approved — an immutable record of every agentic action.
Agentic ops you can actually deploy.
Watch the loop run on live accounts — governed end to end.