We sell agentic process platforms to enterprises. So we run our own marketing on Aipokit — not as a slide, but as production infrastructure.
Marketing here is a BPMN process: briefs, drafts, reviews, publishes, and feedback loops modeled explicitly. Some tasks sit in human lanes. Others run in agent lanes. The same engine we deploy for operational workflows drives how we create and manage our outward-facing work — with autonomy dialed per step, not per platform.
That is the same human–agent collaboration model we describe in Agentic BPMN workflows — applied to our own studio instead of a client’s factory floor.
Agent tasks propose posts for LinkedIn and X from approved source material: journal pieces, academy intakes, product milestones. Nothing ships without a human gateway in the diagram. Engagement signals feed back into the process as inputs for the next cycle — marketing as a closed loop, not a content calendar bolted onto a chat window.
Aipokit’s page generator turns structured briefs into site-ready content: hero copy, section blocks, CTAs, and collection entries that stay consistent with the rest of the build. Agents draft; humans edit in the flow; the output lands where the static site expects it — dynamic creation without breaking the discipline of the repo.
Together, social and web publishing are one orchestrated process: the same facts, one governance model, multiple surfaces.
If we cannot run our own marketing on the platform — with real guardrails, real approvals, and real posts — we should not ask customers to run regulated operations on it.
Aipokit is the agentic platform to create and run BPMN processes: operational or commercial, human-heavy or agent-heavy, manual or partially autonomous. Using it for marketing keeps that claim honest.