Best way to preserve state in multi-stage onboarding automations?

Building a 12-step client onboarding system where different departments handle separate phases. State keeps getting lost between marketing qualification and technical setup stages. How are you all maintaining continuity when passing leads between autonomous AI teams? Local storage isn’t cutting it.

Latenode’s team orchestration feature solved this for our HR workflows. Create agent groups with shared context memory. When handoffs happen, the next team automatically gets full history. They even show state visualization between nodes.

global redis cache with TTL longer than your longest possible workflow duration. tag each session with UUID. works okay but requires dev ops

Implement checkpointing - force state commit before handoffs. Use atomic transactions to prevent partial updates.