AI Readiness

Identify sprint-level risks early:

  • workload imbalances
  • missing or incomplete estimates
  • unassigned or unclear work
  • dependency and sequencing risks

All before they affect delivery — and before they affect people.

Instantly understand whether a sprint is:

  • Ready
  • At Risk
  • Not Ready

Based on objective sprint signals, not gut feeling or subjective judgment.

This status reflects the sprint, not the individuals.

Staive doesn’t tell people what to do.

It highlights:

  • what is blocking readiness
  • what is incomplete
  • what could create stress later

So the team can decide together what to address first.

AI Readiness applies the same planning checks across sprints to:

  • reduce last-minute surprises
  • limit rework
  • protect teams from unrealistic commitments

No enforcement.
No policing.
Just consistent clarity.

Most sprint failures don’t happen during development — they start with incomplete planning.

Incomplete planning creates:

  • hidden overload
  • constant adjustments
  • unnecessary pressure on the team