Change events
Planned changes where hidden dependencies can surface after launch.
- Platform migrations01
- AI rollout risk02
- Policy rollouts03
- Customer-impacting changes04
Afterflow
Simulate critical enterprise decisions.
Connect context, build a stakeholder graph, and run agent simulations that rank likely paths with evidence.
Built for real decisions
Ask the question before the rollout asks it for you.
Connect the context. Run agent simulations.
Afterflow structures messy context into a world model, then runs stakeholder agents against it to rank evidence-backed paths.
Internal context
External context
World model
Teams, stakeholders, dependencies
Private instance
Approved data boundary
01
Connect approved context
Bring together approved documents, systems, owners, and external signals around one decision.
02
Build the world model
Structure the operating environment into stakeholders, dependencies, assumptions, and evidence.
Scenario map
Top failure paths
Evidence
01Customer access failureShared access dependency spills into support and branch channels.CriticalMedium-high
02Support overloadSelf-serve issues push demand beyond week-one capacity.HighMedium
03Rollback gapRollback plan exists, but owner and rehearsal evidence are weak.HighMedium
03
Compare simulated paths
Run agent simulations over the world model to compare likely decision paths. Review evidence-backed second-order effects, risks, indicators, and mitigations.
Use cases
Scenario classes Afterflow can simulate.
Scenario map
Weekend cohort migration
Exposure
ProceedSupport queue likely exceeds week-one capacity72%
PhaseVendor handoff is the gating dependency48%
PauseRollback owner must be assigned before launch61%
01 / 03
Start with one scenario.
Choose the decision, outcome, owner, and time window. Afterflow structures the context and runs the simulation.