Responsible AI for Workforce Recruitment

3RNET partners with ICG to add safe, practical AI capabilities to an existing .NET platform

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AI Enablement & Application Modernization
.NET - Azure - Safety Controls - Usage Visibility

The best AI implementations meet users where they already work, reduce friction, and keep people in control.

-- IowaComputerGurus, Inc.

Mission: Add Practical AI Without Rebuilding the Platform

3RNET supports health professionals, employers, and coordinators working to strengthen access to care in rural and underserved communities. Their existing .NET application already served critical daily workflows, so the goal was not to replace the platform. The goal was to enhance it with targeted AI capabilities that made common tasks easier, faster, and more consistent.

ICG worked with 3RNET to introduce AI in the places where it could provide immediate value: helping content authors improve job listing language, summarizing candidate experiences for easier review, and reducing friction for users interacting with the customer website.

Project Focus

  • Enhance an existing .NET application with in-app AI tools
  • Support content authors creating stronger job listings
  • Summarize candidate experience information for faster review
  • Improve usability while preserving established workflows
  • Add safety controls and visibility into AI adoption

Strategic Objectives

  • Enable responsible AI usage across high-value authoring and review workflows
  • Improve the quality and completeness of website content without adding extra process
  • Give leadership visibility into where AI was being used and how adoption was growing
  • Reduce the time required to post, review, and interact with information across the platform

Tactical Objectives

  • Integrate multiple AI entry points directly into existing screens
  • Apply guardrails so AI assistance remained safe, scoped, and user-reviewed
  • Automate repetitive content improvement and summarization tasks
  • Capture usage details to support reporting, adoption analysis, and future enhancements

Safety Built In

The solution was designed around human-reviewed AI assistance. Content authors and staff remained in control of what was accepted, edited, or published, while the application provided focused suggestions inside the workflows they already understood.

This approach helped 3RNET gain the productivity benefits of AI while keeping the platform aligned with its mission, content standards, and user expectations.

AI Hookups Where Work Actually Happens

Rather than adding a disconnected chatbot, ICG implemented multiple in-app AI integrations that assist users at the moment a task is being completed. Job listings can be enhanced while authors are already editing them, candidate experience details can be summarized for easier understanding, and content workflows can move forward with less manual rework.

The result is AI that feels like part of the product instead of a separate destination. The platform gained new automation while preserving the structure, security, and reliability of the existing .NET application.

"Responsible AI succeeds when it is useful, visible, measurable, and intentionally constrained."

-- IowaComputerGurus, Inc.

Visibility Into AI Adoption

3RNET needed more than AI features; they needed confidence that the features were being used appropriately and creating value. The implementation included visibility into AI usage and adoption so stakeholders could understand which workflows were gaining traction and where future improvements could make the largest impact.

That reporting foundation gives 3RNET a practical path for continued AI enablement: measure usage, learn from real behavior, and expand the platform in ways that serve users and support the organization's mission.

Implemented Capabilities

  • AI-assisted job listing enhancements
  • Candidate experience summarization
  • Workflow automation for repetitive content tasks
  • Safety controls for reviewed, in-context AI output
  • Usage visibility to monitor adoption and guide future work

Result - AI Enablement That Users Can Trust

AI

Inside Existing Workflows

Safe

Human-Reviewed Assistance

Better

Website Content

Less

Manual Friction

Visible

Usage & Adoption

Ready

For Continued AI Growth

The completed AI enhancement helped 3RNET improve productivity, create higher-quality content, and reduce the time required to complete important website tasks. By pairing automation with safety controls and adoption visibility, ICG delivered a practical AI foundation that improves usability today and gives 3RNET a clear path for continued innovation.