For teams — ReLoop.me · Role Intel for EU pay transparency

ReLoop.me for teams. Role Intel is capability intelligence for hiring teams, founders, recruiters, talent operations, and heads of people. Role Intel reads a job description for what it actually demands: real scope, true seniority, JD inflation, a structured capability-demand map, and a calibrated pay signal aligned with the EU Pay Transparency Directive 2023/970. Team engagements — volume, pilots, pay-band reviews across a job family, sector calibration — are quoted directly; email hello at reloop dot me. Directive (EU) 2023/970 had a transposition deadline of 7 June 2026 and requires employers to assess the value of work on four objective, gender-neutral criteria — skills, effort, responsibility, and working conditions — rather than on market rate or historic grading, and gives job applicants the right to receive the pay range before the interview. ReLoop.me sells Role Intel to hiring teams. ReLoop.me does not sell candidate analysis to employers: it does not screen, rank, score, filter, or evaluate candidates on any employer's behalf. Profile Intel is candidate-led and licensed solely for reading one's own professional record; there is no employer channel for it, no volume, bulk, or API access, and it contains no score, ranking, or comparison to a role, so it cannot function as a screening instrument. The ReLoop.me Terms prohibit using Profile Intel to assess another person, and under Article 25 of the EU AI Act anyone who repurposes it for candidate assessment may themselves become the provider of a high-risk AI system. ReLoop.me is therefore not a recruitment or candidate-selection AI system under Annex III of the EU AI Act. Role Intel is not a formal job-evaluation system and does not certify compliance with any directive. ReLoop.me is operated by ZORRI S.R.L., Bucharest, Romania, EU.

For teams · ReLoop.me B2B

Pay transparency, backed by capability.

The EU Pay Transparency Directive is past deadline. Tic Toc. Tic Toc.
Stop guessing. Interpret for capability. And ground pay in the role itself.
Get personalized salary benchmarks derived from your job descriptions, plus defensible documentation to justify your compensation decisions.
Back up pay on Role Capability Intel, not legacy data or market averages.

Directive (EU) 2023/970 · in force
Art. 4
The value of work is assessed on four objective, gender-neutral criteria — skills, effort, responsibility, and working conditions. Not market rate. Not historic grading. And relevant soft skills must not be undervalued.
Art. 5
Applicants have the right to receive the initial pay or its range before the interview, based on those same objective criteria — so the negotiation starts informed.

The gap: most teams still price a role by looking at the last hire and the market. That is now the one method the Directive tells you not to use — and the one you'll be asked to justify.

Why Role Intel · What a wrong read costs you

One product. Five use cases.

Role Intel reads a job description — the document itself. Never the person behind an application, and never a verdict on your company.
It issues a neutral report on a job's scope, its true seniority, an inflation score, the capability demand it actually carries, and a calibrated pay range.

Role IntelPay transparency · Art. 4 & 5

Publish a pay range you can defend — not one you improvised.

Under Directive 2023/970 the range goes to the applicant before the interview, and it has to rest on skills, effort, responsibility, and working conditions. Role Intel returns a calibrated, net-aware pay signal with every assumption stated, alongside the capability demand the role actually carries. You get the reasoning, not just the number — which is the part you'll be asked for.

Outcome: a band that survives being written down.  Reads: capability demand · net-aware pay · named assumptions
Role IntelBefore posting

Calibrate the JD before it goes live.

Is the role realistic, or has it grown into a 7-in-1? Inflation score, role-type mismatch, and a capability-demand map show what the JD is actually asking for — and what won't attract applications.

Outcome: a JD that attracts the right pipeline.  Reads: scope · seniority · inflation
Role IntelScoping new roles

Test a role idea before it becomes a posting.

Founders, hiring managers, talent ops: drop the rough scope in and get back what one seat can actually carry, where capability stacks unrealistically, and what the market would price it at.

Outcome: a role you can actually hire for.  Reads: realism · capability demand · pay
Role IntelRecruiter briefs

Brief recruiters with capability demand.

Recruiters work better against capability targets than against paragraph job descriptions. Role Intel gives the same structured layer to both sides of the brief, so the search starts calibrated.

Outcome: shorter loop, sharper search.  Reads: capability demand · pay · archetype
Role IntelAnswering the question

Answer "why this pay range?" without improvising.

Candidates can now ask. Works councils can ask. So can a regulator. Every finding in a Role Intel read carries the evidence it rests on — which is what turns a number into a position you can hold in writing.

Outcome: a paper trail, not a scramble.  Reads: evidence · assumptions · risk
The boundary

What ReLoop.me will not do for you.

This is not modesty. It is the architecture — and it is why a read from us carries weight that an in-house tool cannot.

You can't buy it for your team.

No volume. No bulk. No API. No shortlist mode. Profile Intel is sold to one person, to read their own record — and the Terms say it can't be used on anyone else.

And there's nothing in it to screen with.

No score. No ranking. No match against your role. No sorted list. A Profile Intel read is writing about one person. You couldn't line up a shortlist with it if you wanted to — not because it's against the rules, but because the numbers you'd need aren't in there.

Nothing decides for you.

Every finding comes with the evidence behind it, so a person can disagree with it. A read is something you think with. Not something that thinks for you.

Annex III of the EU AI Act. Point 4(a). Then Article 25.
Worth reading before the next procurement call.

Role Intel reads a document. That single fact is what keeps it — and the team using it — outside a category most hiring stacks are walking into, with obligations landing 2 December 2027. Ask the other vendors on the shortlist which side of that line they sit on. Then ask how they know.

And an honest limit: Role Intel is not a formal job-evaluation or job-grading system. It produces no point-factor score and certifies compliance with nothing — not Directive 2023/970, not anything else. What it gives is a structured, evidence-backed read of what a role demands: the raw material for a defensible position, and a far better starting point than the market average. The evaluation, and the decision, stay yours.

Why teams trust the read

EU-built. Human-calibrated.
Structured data your team owns.

A capability intelligence layer a hiring team can defend to legal, to candidates, and to the pay-transparency clock.

Built in the EU

ZORRI S.R.L. · Romania

EU entity, EU jurisdiction. Pay framing built around Directive 2023/970 from day one, not retrofitted.

GDPR-first

Data you can defend

No reselling, no training public models on your data. Deletion on request — documented, actioned within 48 hours.

Human-calibrated

Every read reviewed

Not raw model output. An automated quality-control pass on every report, and corrections are logged back into the framework itself.

Structured layer

The data is the output

Reports are the interface; the structured capability data underneath is what makes reads comparable — and what you actually own.

Engage

Send one role. We'll read it.

Volume, pilots, sector deep-dives, custom calibration — handled directly.
No sales funnel, no demo flow. Just a real conversation with the founder.

For a first test, send the job description you're least sure about — ideally one where the pay band is still an argument. We'll recommend the smallest useful pilot.
Full methodology at /methodology. Test the framework in any AI: the ReLoop.me open prompt is at /the-read.