Production-ready

RecomAid

Governed human-in-the-loop decision workflow platform for qualifications, recommendations, and career processes.

Visit RecomAid

RecomAid is a production-grade decision workflow platform that structures and governs high-stakes human decisions. It integrates AI assistance within controlled review workflows, ensuring traceability, accountability, and consistency. Currently deployed for qualification verification, recommendation workflows, and career/application processes, it can be customized for universities, companies, and other organizations that require systematic, auditable human-in-the-loop decision-making.

Business outcomes

  • Structured and consistent qualification verification processes
  • Reduced ambiguity and manual rewriting in recommendation workflows
  • Improved traceability through role-based review and approval
  • Higher-quality applicant and candidate evaluation workflows
  • Human oversight integrated with AI assistance

Product UI Snapshot

RecomAid interface screenshot

Workflow

Step 1

Applicant selects a reference

→
Step 2

Lists past experiences + Add Details

→
Step 3

Reference (Prof., Supervisor, Coach, etc.) Reviews

→
Step 4

Reference may add more details (hidden from applicant)

→
Step 5

Reference may send message for specific experiences

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Step 6

AI Assists in managing text, writing letter and reviwes

→
Step 7

AI Assists employer in qualification summariziation

→
Step 8

Full governance of credibility

What It Is

  • A governed workflow system with structured inputs and role-based permissions
  • An AI-assisted drafting and evaluation layer embedded inside review control
  • A traceable decision system with version history and auditability

Governance Features

  • Role-based access control
  • Review and approval workflow stages
  • Audit trail and version history
  • Structured templates for consistent inputs
  • Human-in-the-loop verification at each stage

Integration Prerequisites

  • None; Platform can also function independent of existing systems

Readiness Notes

Delivery readiness: Currently in active production use with real users in its current domain. Enterprise customization and white-label deployments are available following a scoped architecture review to align workflow structure, data requirements, and governance policies.

Decision Loop Title

Selection Criteria -> Search Through Structured Data -> Shortlist -> Second Round Review -> Selection. This keeps automation transparent while preserving fair and reliable analysis and evaluation of candidates.

Technical

Deployment

Web application with API integration and LLP Prompt Engineering Features

Licensing

Enterprise SaaS (pilot + subscription)

Integration points

University information systems (custom integration) HR and recruitment systems (custom integration) Single sign-on (SSO) environments External document storage systems

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See how governed decision workflows work in practice—and discuss whether a customized deployment fits your organization.

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