From search assignment to fee invoice in one system.

↳ Position, salary band, fee, and guarantee are in emails and Word documents. Only the responsible consultant knows who has which assignment under what conditions.

→ Each search assignment includes position, location, salary band, fee as a percentage of gross annual salary or as a flat rate, retainer installments, exclusivity, and guarantee in months. In the client file, the "Search assignments" tab shows all assignments for that client with their status.

↳ Until an assignment is signed and returned, days are lost printing, scanning, and following up.

→ From the search assignment, an offer is generated with retainer and success fee. Your client accepts it via a link, and the assignment status changes to "active". They sign the assignment itself on screen: they read the terms and conditions, also as a PDF, and sign. Name, time, device, and a checksum of the content are saved. If the assignment changes, a new link is required. This is a simple electronic signature.

↳ CVs arrive as PDF, Word document, or photo. Contact details and skills are typed in manually.

→ Select the position, upload the CV (PDF, Word, JPG, or PNG). The AI pre-fills first name, last name, email, phone, location, and skills; a human reviews and saves. Consent is mandatory; no email is sent to the applicant.

↳ Good candidates who are not a fit today are lost because no one can find them again later.

→ Candidates without a current position remain in the talent pool, with their skills, current position, salary expectations, "available from," and notice period. You can filter by skill, location, and salary expectations and assign a candidate to multiple search assignments. Without consent, there is a deletion period of 6 months; with talent pool consent, it's 24 months — a guideline you can adjust, not legal advice.

↳ With many candidates and assignments, the right candidate is only noticed after the assignment has already gone to the competition.

→ For each search assignment, the AI suggests candidates from the talent pool with a score from 0 to 100, a justification, and a list of "fits" and "missing." The AI does not see names, age, gender, or origin. A human incorporates the suggestion into the pipeline or rejects it with a reason. Every evaluation and decision is logged.

↳ Candidate profiles are anonymized manually, sent as Word documents, and feedback is received by phone at some point.

→ From the applicant file, an exposé is generated as a link (valid for 60 days) and as a PDF in premium layout, without names, contact details, photos, or employer names. Your client responds without logging in with "interesting," "interview requested," or "no interest" along with a comment. You receive a notification, and the file shows the feedback.

↳ What was said during the interview is in notebooks that no one else can read.

→ From the applicant file, you can start recording an interview. A transcript and summary will appear in the applicant's file afterward, alongside an internal note visible only to your team. Candidates book appointments themselves via your booking page.

↳ After acceptance, the fee is calculated manually, and the warranty period is noted in the calendar or not at all.

→ Once a candidate is placed, enter their start date and annual salary. DivineMind creates a draft fee invoice, as a percentage of the actual salary or as a flat rate; it is sent by a human. Towards the end of the warranty period, a task is generated. If a warranty case occurs, the task "Review credit note" appears.

↳ How many placements, what fees, from which source did the candidates come? The numbers are not in any list.

→ The report shows placements, net fees, average time-to-fill, warranty cases, fees per recruiter, candidate sources, search assignments by status, and the open pipeline, with a date filter and using only real data. Acknowledgment of receipt, interim update, invitation, and rejection open DivineMail with a template; sending is done manually.