All case studies
HR & RECRUITMENT

Human judgement. Better supported.

SAHEL brings applications, explainable matching and the hiring pipeline into one focused workspace.

SAHEL · HR PRODUCT EXPLORERAI
Fictional demo data
THE RIGHT PERSON. A CLEARER PICTURE.

Potential, explained.

Human decision
Why this match?

Evidence against the agreed vacancy criteria.

Relevant experience
Required skills
Role requirements
Review strengths and gaps before a hiring decision.
Explore the workflow · No client recordsBuilt around people
PROJECT TARGET80%

Less screening time

Project target: five business days to one. Not a measured result.

PRODUCT SCOPE6

Core modules

Documented in the v1 product scope.

PRODUCT SCOPE3

Application routes

Email, application form and bulk upload.

01 / THE CHALLENGE

The problem worth solving.

Screening applications across inboxes and documents takes time. Reviewers need consistent criteria and a clear explanation of why someone may fit a role.

02 / THE APPROACH

A better way to work.

SAHEL sits alongside an existing HR system. Applications arrive through email, a form or bulk upload. Reviewers can search a talent pool, inspect matched skills and gaps, and move candidates through a configurable pipeline. Final hiring decisions stay with people.

TAKE A CLOSER LOOK

A useful idea.
A working rhythm.

Explore a simplified view of the workflow. Every record is fictional; the controls let you see how the experience fits together.

Try the tabs and controls
SAHEL · HR PRODUCT EXPLORERAI
Fictional demo data
THE RIGHT PERSON. A CLEARER PICTURE.

Potential, explained.

Human decision
Why this match?

Evidence against the agreed vacancy criteria.

Relevant experience
Required skills
Role requirements
Review strengths and gaps before a hiring decision.
Explore the workflow · No client recordsBuilt around people
A CLEAR PATH THROUGH THE WORK
01

Collect applications

02

Match against agreed criteria

03

Review the evidence

04

A person decides the next step

WHAT SUCCESS LOOKS LIKE

Make the difference
visible.

Screening turnaround, extraction accuracy and reviewer corrections, with appropriate fairness review.

  • Less manual preparation before a shortlist review
  • A consistent, explainable basis for discussion
  • Visible decisions and pipeline ownership
Two women reviewing work together at a laptop
TECHNOLOGY SHOULD SERVE PEOPLE.

The outcome is human.

Let’s explore your challenge
Illustrative photography · Mimi Thian / Unsplash
YOUR NEXT CHAPTER

Big mission.
Let’s make room for it.

Start with where you are. We’ll help you see what comes next.

Find your AI starting point Or tell us what’s on your mind Free assessment · Around 5 minutes · Brief sign-up for results