Resilient automated candidate communication is an architecture decision made before a single message fires — not a patch applied after candidates go silent. Build your communication spine with state logging and fallback channels first, validate data at every handoff point, wire proactive monitoring second, and reserve AI judgment for the specific touchpoints where deterministic rules fail.

Annual performance reviews don't fail because managers are bad at them — they fail because the process is structurally broken. AI cannot fix a review cycle that runs on stale data, recency bias, and administrative drag. The winning sequence is automation first to standardize data collection, then AI to surface patterns and personalize development. Skip that order and you accelerate the dysfunction.