What it is
Flight risk describes the probability that someone currently employed will leave their role voluntarily in the near future. In recruitment the term pulls in two directions at once. Pointed at an employee inside a target company, it is a sourcing read: this person looks likely to move soon, so an approach now lands ahead of the crowd. Pointed at a candidate you are about to place, it is a due-diligence read: this person has a pattern of moving quickly, so the placement itself may not last.
Both readings lean on the same indicators. A short average tenure across recent roles, a recent passed-over promotion, a change of manager or leadership, a stalled pay review, a company going through a reorganisation or acquisition, or simply visible new activity on a professional profile. None of these prove someone is leaving. Together they shift the odds enough to be worth acting on, in whichever direction applies.
A flight-risk candidate is not bad news. It is a question of whose problem it becomes next.
Why it matters
Surveys of employee sentiment consistently find a large share of the workforce could be described as a flight risk at any given moment, open to the right approach even without actively job-hunting. That makes flight-risk employees some of the warmest names a consultant can target: someone already leaning toward the door needs less persuasion than someone settled and content, and reaching them before a job goes public is exactly the kind of timing advantage signal-led BD is built around.
The same read matters just as much once a candidate is heading toward a start date. A candidate with a habit of leaving roles inside a year is a flight risk to the new employer too, and submitting one without acknowledging the pattern puts the guarantee period, the fee and the client relationship at risk if history repeats. The stronger desks do not avoid these candidates outright, they factor the pattern into how the placement is positioned, and sometimes into the terms themselves.
How boilr handles it
On the sourcing side, your AI sales employee watches career and job-change signals across ICP-matched companies and flags people showing flight-risk indicators, tenure patterns, leadership changes, reorganisation news, as a live opportunity rather than something you would only spot by chance. Each flag arrives enriched with the context behind it, so the outreach task references a real reason to reach out now, not a generic message sent on a hunch.
On the placement side, every candidate's tenure history lives in the Company Brain, so a short-tenure pattern is visible before a CV ever reaches a client, not discovered after the guarantee period is already running. The consultant decides how to handle it, submit with context, flag it to the client directly, or factor it into terms, but the pattern is on the table rather than a surprise. Outcomes get recorded too, so the read sharpens with every placement rather than resetting each time.
