Agentic Alignment Score (AAS)
Why it matters
Boards and CEOs currently have no way to audit whether their fleet of AI agents is helping or hurting long-term goals. A low AAS (0.3) indicates agents are completing tasks but ignoring strategic priorities — for example, cutting costs so aggressively they damage brand reputation. A high AAS (0.9) means agents autonomously mirror the organisation's big-picture goals. The score enables quarterly board reports that prove AI governance is effective and the transition is controlled.
How Stratafy addresses this
Stratafy quantifies AI agent alignment through health scoring at every layer of the strategy architecture, with alignment scanning that measures how consistently agents act on current intent — not stale objectives.
Alignment scanning suite
Five-directional alignment scans measure foundation fidelity, inter-strategy coherence, radar responsiveness, public presence consistency, and organisational fit. Each scan produces a health score per element, giving a quantified view of how well AI agents track strategic intent.
Health scoring at every layer
Every strategy, initiative, objective, and metric carries a health score derived from alignment, freshness, and completeness. These scores aggregate upward, so a single drift in tactics surfaces as a score change at the strategy level — making misalignment visible before it compounds.
MCP-queryable metrics
AI agents query alignment metrics directly via MCP tools like get_workspace_snapshot and run_alignment_suite. Scores are structured data, not dashboard visuals — meaning agents can act on alignment signals autonomously within their trust spectrum authority.
Continuous measurement, not periodic audits
Alignment scores update as strategy changes, signals arrive, and execution data flows back. The score reflects the current state of alignment, not the last time someone checked. This transforms alignment from a lagging audit into a leading operational metric.