Governance first
Every AI action is checked before it launches, watched while it runs and recorded after it ends, before it touches production spend.
Before · During · AfterMarketing teams are adopting AI agents to manage campaigns, budgets and audiences at scale. But without governance, every autonomous action is a risk — to spend, to brand and to compliance. Cesteral exists to close that gap.
AI tools for marketing are powerful but opaque. They can launch campaigns, shift budgets and change targeting without a structured review. When something goes wrong, there is no audit trail, no approval record and no way to prove what happened.
Cesteral is the control layer for AI-driven campaign operations. Every AI action goes through the same three steps: checks before launch catch problems early, spend limits and approvals stop risky changes while campaigns run, and a record afterwards measures outcomes and keeps the evidence.
Open-source connectors give agents direct access to the major ad platforms — Google Ads, Meta, DV360, The Trade Desk and more — and teams can inspect, extend and self-host every one. The result: teams can run AI-managed campaigns in production with the transparency and control that operators, finance and compliance require.
Three commitments shape every part of the product, from the open connectors to the review queue.
Every AI action is checked before it launches, watched while it runs and recorded after it ends, before it touches production spend.
Before · During · AfterOur connectors are open source. Teams can inspect, extend and self-host the code that links AI agents to every major ad platform.
Apache 2.0 · 13 connectorsYou set the rules, the approval limits and the pause controls. The system works within those boundaries — never beyond them.
Rules · Approval limits · PauseWe work with a small number of teams running real campaign workflows in production.