HR / Recruitment / Training

Mapping a candidate market takes days, the approach personalizes at scale, and the pipeline remains continuously active.

AI sourcing, enrichment, personalized sequences, candidate CRM.

1. Map the target talent pool: companies, profiles, mobility signals. 2. Personalize each approach based on the individual's actual journey, review before sending. 3. Maintain the talent pool: content, news, regular automated but sincere touchpoints.

A candidate is convinced by consideration: an approach that feels robotic burns the talent pool.

Onboarding, responses to common questions, and document production become automated. The HR team breathes and refocuses on support.

Internal HR assistant (chatbot based on the document base), automated workflows, HRIS.

1. Build a clean and up-to-date HR knowledge base, the foundation of the assistant. 2. Deploy the assistant for common questions with smooth human escalation. 3. Automate processes: onboarding, mobility, departure, with human touchpoints at key moments.

Anything touching on a sensitive individual situation is immediately removed from automation.

Career interviews, team summaries, and action plans are prepared in depth without spending evenings on them. The HRBP arrives better prepared for each conversation.

Claude (projects by scope), HRIS, engagement survey summaries.

1. Prepare each key interview: history, career points, questions to open. 2. Have team signals synthesized: engagement, turnover, verbatims. 3. Document action plans and their follow-up systematically.

The HR conversation is the profession: preparation serves it, nothing replaces it.

Benchmarks are established in hours, payroll simulations run in minutes, internal equity is analyzed continuously.

Compensation databases, Excel/BI + AI, Claude for analyses and notes.

1. Consolidate benchmark sources and their methodological limits. 2. Automate internal equity analysis by position, seniority, and gender. 3. Simulate each revaluation scenario before arbitration.

Behind each line, a person: numbers prepare human and confidential decisions.

Learning paths are personalized by profile and level, content is produced ten times faster, and evaluation becomes continuous.

Claude for engineering and content, adaptive LMS, quiz and video generators.

1. Start from observable target skills, not available content. 2. Generate paths by level with practical cases adapted to the real context. 3. Measure learning outcomes in context, not just completion.

A generated module not tested on real learners is not a finished module.

Sourcing is more targeted, pre-selection becomes objective, each interview is prepared and documented. The recruiter spends more time convincing and evaluating, less time searching and entering data.

ATS with AI, LinkedIn Recruiter, structured scorecards, interview transcription, Claude for summaries.

1. Frame each position in a scorecard: observable criteria, associated questions, weighting. 2. Source with AI by broadening queries, then qualify the shortlist manually. 3. Document each interview against the scorecard and produce a comparative summary.

AI pre-screens, humans decide. Regularly audit who the filters exclude.

HR data becomes predictive: retention, engagement, weak signals. People decisions are based on facts, not impressions.

HRIS + BI, predictive models, Claude for analyzing survey verbatims.

1. Ensure the foundation is reliable: definitions, clean history, compliance of use. 2. Analyze past departures to identify real factors by population. 3. Set up early alerts and regular reviews with managers.

Predicting a departure risk requires tact: HR data demands ethics and absolute confidentiality.

Controls are systematized, anomalies are flagged before closing, employee questions receive immediate answers.

Payroll software with AI controls, internal assistant based on regulations, control dashboards.

1. Automate consistency checks before each closing. 2. Implement a first-level assistant for common employee questions. 3. Maintain regulatory monitoring assisted with expert validation.

Payroll tolerates no approximation: any detected discrepancy is verified to the source.

Career content is produced at the pace of networks, campaigns are driven by data, employer e-reputation is monitored continuously.

Claude for content, social tools, employer review monitoring (Glassdoor and equivalents).

1. Document the real employer promise, validated by employees. 2. Produce the content calendar featuring: testimonials, behind-the-scenes, jobs. 3. Monitor reviews and respond quickly, humanely, without jargon.

The employer brand lies poorly: promise only what the teams confirm.