Deploy where governance requires
Scope dedicated or on-premise deployment when sovereignty, procurement, or internal policy requires tighter control of data and infrastructure.
Built for public bodies, enterprise HR, recruitment firms, integrators, and AI innovation teams. Apply one explicit standard, inspect the evidence, and keep accountable people in authority.
Scope dedicated or on-premise deployment when sovereignty, procurement, or internal policy requires tighter control of data and infrastructure.
Anonymise sociodemographic signals before inference. Invariance testing makes it possible to inspect whether irrelevant changes alter the evaluation.
Keep the approved criteria, cited source, and reviewer record together, ready for a committee, challenge, appeal, or inspection.
BlindStairs prepares the evidence and review path. The accountable public body oversees, intervenes, and makes the final decision.
Review every person against one approved standard, so application volume does not decide who gets seen in Hiring, Mobility, or Performance.
Do not guess whether a profile used AI. Test its claims against cited evidence, surface what is missing, and focus the conversation where proof is thin.
Use the same weighted requirements across roles, regions, and reviewers while keeping local context and accountable ownership visible.
Connect BlindStairs to the ATS, HRIS, and evidence sources already in place. Start with one consequential workflow without forcing a platform migration.
Deliver every recommendation with the requirement, cited evidence, and reviewer reasoning that supports it.
Anonymise personal and sociodemographic signals before evaluation while preserving the evidence recruiters need for accountable review.
Evaluate the full pool consistently and focus recruiter time on the people and evidence gaps that need professional judgement.
Keep client-ready reports current as evidence arrives, so updates, calibration, and handover do not start again in a spreadsheet.
Extend ATS and HRIS programmes with standards, evidence, and reviewable reasoning without rebuilding the system of record.
Define which system owns source data, which layer evaluates it, and where accountable decisions are recorded.
Bring a repeatable specialist layer to clients instead of rebuilding sensitive evaluation logic for every programme.
Scope cloud, dedicated, or on-premise deployment around the client’s governance, security, and procurement requirements.
Use a decision engine designed for repeatable evaluation, not a generic model that can return a different answer to the same evidence.
Challenge the system against sociodemographic changes and inspect whether irrelevant signals alter the evaluation.
Keep data governance, logging, transparency, and human oversight inside the operating path, not in a separate compliance document.
Choose one consequential workflow, agree the standard and success measures, then inspect the full review path before scaling.
Bring one real workflow to a 30-minute scoping session. We will shape a pilot around your standard, evidence, and operating boundaries.
Start your pilot