AI Recommendations
Jobdrive searches your own CVs — every resume your account has uploaded — and finds people from past drives who fit this role but have not applied to it.
What it is
Every other way of getting candidates into a Job Drive starts with the candidate. Someone applies, or you upload their resume, or you import a list you already had. AI Recommendations works the other way round: it starts with your role and goes looking.
Every CV your account has uploaded — by upload, the Email Inbox, the Public Link, or a sheet import — stays in your own CV pool, and nothing is shared with other companies. When you ask for recommendations, Jobdrive compares your Job Description against those CVs and hands back a ranked list of the closest matches, each with a score and a written reason. The people on that list came in for other roles, not this one.
Use this when a role has gone quiet. The applications have dried up and the shortlist is thin. Instead of going back to the job portals or reposting the role, let your past CVs work as your own talent pool.
Where to find it
- Open the Job Drive you want candidates for, from the Dashboard or the sidebar.
- Go to the Resumes workspace for that drive.
- Select the AI Recommendations tab.
Recommendations are generated per Job Drive, against that drive's Job Description. Two roles will not return the same list.
The sourcing tabs inside a Job Drive.
How the matching works
Matching runs in two passes. The first is fast and casts wide, the second is slow and reads carefully. Together they mean you get a short, considered list rather than a thousand keyword hits.
Jobdrive compares the meaning of your own CVs from past drives against the meaning of your Job Description, and keeps the closest. This is not keyword search. A resume that says "process validation" can match a role asking for "GMP qualification" without sharing a word.
The candidates that survive pass one are read in full against your Job Description. Each comes back with an AI Match Score out of 100, an AI Rating, and an AI Reason explaining the score in plain English.
Pass one is a similarity search over your own CVs from past drives. Pass two is a careful read of only what pass one kept.
Generating recommendations
- In the AI Recommendations tab, click Generate Recommendations.
- The matching runs in the background and takes 30 to 90 seconds, depending on how many CVs your account holds.
- Results appear ranked, highest match score first.
You can run it again whenever you like. A fresh run includes every resume added since the last one, so a role you generated for last month is worth regenerating today.
Reading a recommendation
Each result carries the candidate name, email and phone number, a summary of their resume, the AI Match Score, the AI Rating badge, and the AI Reason behind it.
Two recommendations, ranked by match score, each with the reason behind the number.
What the AI Ratings mean
| Rating | Score | What to do with it |
|---|---|---|
| Excellent | 90 to 100 | Very strong match. Start here. |
| Good | 70 to 89 | Solid candidate, worth reviewing. |
| Average | 50 to 69 | Partial match. Read the reason before deciding. |
| Poor | Below 50 | Low match. Usually not suitable. |
The AI Reason is the part worth reading. It states where the candidate is strong and where they fall short of your Job Description, which is often enough to make the call without opening the resume at all.
What you can do next
| Action | What happens |
|---|---|
| Shortlist | Moves the candidate into the Candidates Tab for full review. |
| Reject | Logs a rejection with an optional reason, kept for your own records. The candidate is not told. |
| Request Resume | Emails the candidate a secure link asking for an up to date CV. Useful when the resume on file is a few years old. |
| Invite to Interview | Sends an interview invitation by email or WhatsApp, without going through the Candidates Tab first. |
Getting better results
- Wait until your account holds 10 to 20 CVs before your first run. Matching compares against your own CV pool, so a bigger pool finds better people.
- Put the real requirements in the Job Description. A vague description produces vague matches, because the description is the only thing the scoring has to work from.
- Regenerate after a busy week. Anyone who submitted a resume since your last run is included in the next one.
- Pair it with a sheet import. Every contact you bring in joins your own CV pool, so the next role you open can draw on them too.
Common questions about AI Recommendations
Does AI Recommendations use other companies' candidates?
No. AI Recommendations searches only your own CV pool and never includes candidates from other companies. Nothing is shared between customers, and your CVs are never shown to anyone else.
How long does generating recommendations take?
Between 30 and 90 seconds. Matching runs in the background and depends on how many CVs your account holds.
Can I invite a recommended candidate directly to an interview?
Yes. You can send an interview invitation by email or WhatsApp without moving the candidate to the Candidates Tab first.
How many CVs should I have before running AI Recommendations?
At least 10 to 20 CVs. Matching compares against your own CV pool, so a larger pool finds better candidate matches.