AgenCheck

Reimagining the service ecosystem of background checks through AI and Human-Centred Design.

Overview

AgenCheck is an AI-native background screening platform reimagining how organisations verify people and build trust. Founded in 2025 by industry experts in background screening and artificial intelligence, the company was created to replace fragmented, manual verification processes with intelligent automation that improves accuracy, efficiency and scalability.

The background screening industry has historically been optimised for compliance, not customer experience. That creates opportunities to innovate across multiple user groups: employers, recruiters, screening providers, candidates and verifiers.

This was an opportunity to reimagine the entire service ecosystem of background checks through AI and human-centred design. I partnered with the founders during the early stages of product discovery to help define the customer experience and establish a scalable product vision. Working closely with stakeholders, I applied Human-Centred Design to understand the needs of employers, background screening providers, recruiters and candidates, mapping their journeys to identify pain points, opportunities and future AI-enabled capabilities.

The outcome was a comprehensive product blueprint that aligned stakeholders around a shared vision, uncovered innovation opportunities and established the foundations for a flexible, AI-first platform capable of supporting an expanding range of verification services.

Business Objective

Reimagine the background screening industry by harnessing AI to transform a traditionally manual, fragmented and labour-intensive process into an intelligent, scalable and customer-centred experience.

The objective was to create a flexible platform capable of supporting multiple verification types, workflows and regulatory requirements across different industries and geographies, while establishing a product vision that could evolve alongside advances in AI.

Customer Challenge

The background screening ecosystem presented significant friction for every stakeholder involved.

  • Employers & Hiring Managers lacked visibility into screening progress, experienced lengthy hiring delays and struggled to confidently interpret results.

  • Recruiters & HR Teams were burdened by repetitive administration, disconnected systems and manual follow-ups.

  • Candidates experienced poor transparency, duplicated data entry and uncertainty throughout the verification process.

  • Screening Providers relied on labour-intensive workflows that limited scalability and operational efficiency.

  • Verification Partners (universities, employers and referees) faced inconsistent requests across multiple communication channels.

These challenges created an opportunity to redesign the entire experience around transparency, automation and trust.

Design Challenge

  • Define an AI-native product vision that balanced customer needs, business priorities and technical feasibility.

  • Map the end-to-end background screening ecosystem to identify opportunities for simplification, automation and innovation.

  • Design intuitive workflows that reduced manual effort while increasing transparency, confidence and operational efficiency.

  • Build trust in AI by making verification sources, reasoning and confidence levels visible throughout the experience.

  • Create a scalable experience capable of supporting future verification services and evolving regulatory requirements.

Outcomes & Impact

  • Introduced Design Thinking, journey mapping and Jobs-to-be-Done, enabling stakeholders to align around customer problems before exploring solutions.

  • Identified new product opportunities and AI-enabled workflows that significantly expanded the original product vision.

  • Established transparency and explainability as core design principles, increasing confidence in AI-generated verification outcomes by exposing information sources and supporting evidence.

  • Delivered a cohesive product vision, interactive prototypes and a scalable UX framework that took the platform from discovery to investor-ready demonstration in just a few months.

  • Enabled AgenCheck to showcase its AI-first background screening experience at a major industry conference, generating interest from prospective customers, partners and investors.

A detailed infographic titled "Building Customer confidence & trust in AI" illustrating a timeline and considerations for AI implementation, with sections on considerations, adoption, UX, and phase timelines, including notes and summaries.
A digital infographic displays user profiles for background checks, featuring silhouettes of six team members with descriptions of roles, motivations, frustrations, goals, and qualifications.
Diagram illustrating the Interaction Model with sections for Requesting Clients, Data Providers, and AgenCheck, including roles like Employer, Candidate, Software Vendor, and Service Provider, and components like Education Verification Team and SOP V
Flowchart titled 'Background Check Process: New Case' with columns for stages, actions, purpose, people, tools, and other steps in a background check workflow. It includes color-coded notes and diagrams, with many sticky notes and connecting lines.
A detailed flowchart and diagram with color-coded sections including yellow, green, blue, and white, containing text, arrows, and shapes, likely representing a process or strategy overview.
A detailed wireframe mockup of the AgentCheck Product Design UI Guide, illustrating various sections, menus, buttons, tables, forms, and icons used in the software interface, arranged in labeled segments for clarity.
A computer screen displaying a dashboard from AgenCheck software, showing search results for candidate work histories with various status labels such as overdue, failed QC, in progress, escalated, and new.
An online employee verification form on a computer screen, displaying company logo 'RMI' and details of an employee named Brooke Eichhorn, applying for a Software Engineer position, with verification options and a submission button.
Screenshot of AgenCheck platform displaying a candidate's verification details, activity log with statuses like failed QC, waiting on QC, verification complete, and in-progress activities, along with user's contact info and employment claim details.
A computer dashboard for AgenCheck showing suggested tasks, search checks, and notifications, with a sidebar menu and user info at the top right.

Credits

Product Name: AgenCheck

Role: Product Design & Innovation Consultant

Website Link: https://www.linkedin.com/company/agencheck/