For AI builders and agentic workflow teams
AI agents need visible commitments, not just tasks
Track who or what committed to do what, under which condition, and what depends on it.
No setup. Bring one real coordination case.At risk One delayed promise affects the chain
The problem
Agentic workflows create hidden dependencies
Agents can act across tools, but it is hard to see which commitment failed, why it failed, and which human or agent is now blocked.
- Failures surface too late
- Accountability is unclear
- Human approvals disappear inside workflows
One real scenario
Human approval → AI agent → external action → client outcome
An agent can send the final output only after a human approves the source material.
Approve source
Prepare output
Execute action
Receive outcome
Risk: If approval is missing, the workflow shows the blocked commitment and every downstream consequence.
What ObliNet makes visible
Add an obligation map to the workflow
ObliNet makes human and AI commitments visible as relationships, with dependencies and downstream risk shown in one place.
Test the hypothesis
Bring one real case
We are looking for concrete situations with multiple promises, dependencies or unclear responsibility.
Do AI teams perceive obligation tracking as a missing coordination layer?