Not every recruiting task should be automated. The Hiring Automation Framework defines exactly which ones should — and builds the execution infrastructure to do it.
The Hiring Automation Framework is the operational model inside Majhi OS that determines which tasks are automated, which surface recommendations for human approval, and which require pure human judgment. It prevents the two failure modes of recruiting automation: automating things that require judgment, and not automating things that are genuinely mechanical.
Majhi OS structures automation across three tiers based on decision complexity and consequence:
Tasks executed automatically without human review: mandate health score updates, SLA breach alerts, response decay tracking, recruiter load monitoring.
Tasks executed automatically with human notification: outreach cadence adjustments, recruiter reassignment recommendations, pipeline stage transitions.
Tasks requiring human decision with AI support: shortlist approval, offer strategy, candidate rejection decisions, search scope changes.
When Majhi OS detects that a mandate's response rate has decayed from 14% to 6% over 10 days, the framework can autonomously activate an outreach recovery sequence — without waiting for a recruiter to notice the decay signal.
“Autonomous execution does not replace recruiters. It eliminates the gap between when a problem occurs and when a human notices it — a gap that costs 2–3 weeks in a typical executive search.” — Manas Majhi
The framework is explicit about what it does not automate: shortlist decisions, offer negotiations, candidate rejection communications, and search scope redefinitions. These require human judgment, candidate relationships, and contextual reasoning that no automation system should own.
The Hiring Automation Framework is the operational model that determines which recruiting tasks are automated, which are supervised, and which require pure human judgment.
Tier 1 (fully autonomous): health score updates, SLA breach alerts, response decay detection, recruiter load monitoring. Tier 2 (supervised): outreach cadence adjustments, recruiter reassignment triggers. Tier 3 (AI-assisted): shortlist recommendations, market positioning analysis.
Shortlist approval decisions, offer negotiations, candidate rejection communications, and search scope changes. These require human judgment that the framework explicitly protects.
By eliminating the gap between when a problem occurs and when a human notices it. In a typical executive search, that gap is 7–14 days. Autonomous execution closes it to hours.
Yes. Tier boundaries are configurable based on each client's comfort level with autonomous execution. Some clients run full autonomous mode; others prefer supervised automation with notification before execution.
We use your actual mandate as working context. Book a 45-minute Mission Walkthrough and see what operational intelligence looks like for your specific hiring system.
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