Automate complex decisions without the black-box problem. Reckn pairs AI with transparent scoring logic so every outcome is auditable, consistent, and yours to own.
The Problem
You need to automate decisions at scale. But pure AI models are unexplainable and impossible to audit. When regulators, stakeholders, or candidates ask "why?" - you need an answer that holds up.
LLMs are probabilistic - every evaluation is slightly different. Without locked criteria and a consistent scoring framework, there's no way to know if differences reflect real variation or AI randomness.
When a decision gets challenged, you need to show your work. "The AI said so" doesn't hold up in audits, lawsuits, or regulatory reviews.
Every prompt starts from zero. Your organization's decision criteria, priorities, and risk tolerances don't persist. There's no compounding knowledge.
Manual review ensures quality but doesn't scale. Pure automation scales but sacrifices consistency and explainability. You need both.
You need the power of AI with the structure of a methodology.
That's what Reckn provides.
The Solution
We can't make AI deterministic. But we can make every score traceable, reproducible, and defensible. Reckn locks your criteria, structures AI evaluation, and produces scores you can explain.
Define your evaluation criteria once. They're stored, versioned, and applied consistently across every evaluation. No drift. No hallucination.
Every decision records the criteria used, the weights applied, the AI's assessments, and the final score. Explainable to regulators, stakeholders, and candidates.
AI assessments include confidence levels, not just scores. You see where the system is certain and where human review adds value.
Reckn creates a consistent, auditable framework for each decision type - then uses AI to do the heavy lifting within that framework.
Start with your source document - a job description, RFP, policy, or custom input. AI extracts the evaluation criteria; you review and adjust if necessary. Once finalized, criteria are stored and versioned. Same source = same criteria, every time.
For each locked criterion, AI assesses the input (resume, proposal, application) and provides a structured evaluation with a confidence range. The AI's reasoning is captured and stored alongside the assessment.
Criteria weights and AI assessments feed into our scoring methodology. The calculation is transparent - you can see exactly how each factor contributed to the final result. Full breakdown available for every decision.
Reckn is a platform, not a point solution. Define your criteria, connect your inputs, and automate any evaluation workflow.
Screen candidates against job requirements. Consistent evaluation across hundreds of applicants, with documented reasoning for compliance.
Evaluate proposals against RFP requirements. Standardized scoring that stakeholders can trust and auditors can verify.
Evaluate applications or opportunities with consistent, explainable methodology. Quantified confidence built in.
Check submissions against policy requirements. Flag gaps, quantify compliance level, generate audit-ready documentation.
Assess potential partners, acquisitions, or strategic opportunities with structured due diligence criteria.
Any decision with multiple weighted factors. Define your criteria, connect your data via API, and let the platform handle the rest.
Early Access
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