BAL Score™ · Bounded Agency Limit · AI Governance Diagnostic

Do You Know Who Is in Control of Your AI?

KnowGence measures an organization's structural capacity to govern autonomous AI systems — before a governance failure makes the answer obvious.

When AI systems execute decisions at machine speed, governance mechanisms designed for human-paced workflows become structurally incapable of intervention. In 2025, $1.5 billion was transferred to a state-sponsored threat actor through a compromised authorization system. Human approvers were present at every step. None of them knew what they were actually authorizing. The question is not whether your AI systems are capable. The question is whether your governance architecture can keep pace.

24Questions

~8 minTo Complete

100–600BAL Score Range

6Dimensions

Score Interpretation · Indicative, self-reported

500–600GovernedResponses are consistent with intact governance capacity: authority structures and intervention mechanisms are reported as functional and tested.

400–499Drift ZoneResponses suggest autonomous authority is outpacing intervention capacity. Governance mechanisms exist but appear structurally insufficient.

300–399FragileResponses indicate structural exposure that needs remediation, with material risk under normal operating conditions.

100–299Loss-of-Control RiskResponses indicate AI systems operating beyond reliable governance, with intervention capacity structurally compromised.

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No commitment required · BAL Score is indicative and self-reported

Results are based on self-reported organizational conditions and are indicative only. They do not show that any control works in practice. KNOWGENCE™ and BAL SCORE™ are proprietary marks of KnowGence.