AI agents for HR teams in consulting

Campus season buries the team in PDF CV books from university careers services, scribbled careers-fair names, and students who still have not picked a first-round case slot, while the offer deadlines tick down in a spreadsheet nobody trusts.

→An agent sorts each CV drop by school and graduation year, logs fair contacts into the ATS, and queues a nudge draft for every student without a slot, so you spend the season meeting candidates rather than sorting them.

Every case-interview loop ends the same way: five interviewers, three scorecards missing, and a recruiter pasting comments into a sheet at nine in the evening so the partner debrief can start the next morning.

→An agent chases empty scorecards the evening of each interview and assembles one debrief sheet per candidate, leaving the panel to argue about the candidate instead of the paperwork.

A new starter's first week depends on a laptop request, an account request, a buddy, an academy seat, and signed forms, all tracked in different inboxes and discovered missing on the Monday they arrive.

→An agent builds the start-date roster, raises the equipment and access requests, and drafts the pre-boarding pack for your approval, so day one starts with everything in place.

Year-end promotion files are assembled by hand from engagement evaluations that managers submitted late, in different formats, so committees meet on incomplete evidence and HR spends December chasing.

→An agent chases missing evaluations as each engagement closes, collates a one-page summary per consultant, and flags gaps in the calibration sheet, so the committee decides and HR does not scramble.