For years, the background screening industry has invested in technology to accelerate data collection, improve candidate experiences, and streamline operational workflows. Yet one of the most complex and labor-intensive functions has remained largely unchanged: criminal record review.

The challenge has never been accessing criminal record data. The challenge has been interpreting it.

Every day, review teams evaluate offenses across thousands of jurisdictions while applying client-specific adjudication policies, identity matching standards, look-back periods, and reporting requirements. These decisions require consistency, speed, and documentation, all while operating within highly regulated environments.

Today, SNH AI is introducing a new approach.

Why Public Records Review Has Been Difficult to Automate

Most automation technologies struggle with criminal records because criminal record review is not a simple rules exercise.

County courts use different terminology. States maintain records differently. Federal charges often require unique handling. Individual client policies add another layer of complexity.

Many existing technologies assist reviewers by organizing data or routing records through workflows, but the actual decision-making process still depends heavily on human expertise.

This has created a bottleneck for screening organizations facing growing volumes and increasing expectations around turnaround time, consistency, and compliance.

Introducing Solon

Solon is SNH AI's purpose-built public records model designed specifically for criminal record decisioning.

Unlike general AI systems trained on broad internet data, Solon was trained exclusively on criminal record review scenarios using nearly two million offense decisions reviewed and validated by subject matter experts.

The result is a specialized model capable of evaluating criminal records the way experienced screening professionals do.

Solon processes offenses from county criminal courts, statewide repositories, federal courts, and national criminal databases, delivering a complete determination for every offense reviewed.

Every Decision Comes With Documentation

One of the largest barriers to AI adoption in regulated industries is trust.

Organizations need more than an outcome. They need to understand how that outcome was reached.

Every Solon determination includes:

• Identity matching rationale

• Offense-level analysis

• Applied policy rules

• Supporting reasoning

• Record-level source references

This creates a transparent review process that compliance teams can inspect, validate, and reproduce when necessary.

If a determination is questioned months later, organizations can revisit the decision and understand exactly how it was made.

Built for the Realities of Screening Operations

Public records review does not operate under a universal set of rules.

Each client may have unique adjudication requirements, position-specific screening standards, offense exclusions, and jurisdictional considerations.

Solon was designed with this reality in mind.

Organizations can configure client-specific policies directly into the decisioning framework, ensuring that determinations align with the requirements of each screening program.

This allows teams to scale operations without sacrificing consistency.

A New Category of AI for Background Screening

The screening industry has reached a point where specialized AI models can finally address work that was previously considered too nuanced, too complex, or too high stakes for automation.

Solon represents a significant advancement in that evolution.

Rather than serving as a generic productivity tool, it functions as a purpose-built decision model engineered specifically for criminal record review.

For screening organizations facing growing operational demands, increasing compliance expectations, and pressure to improve turnaround times, this represents a fundamentally different approach to public records operations.

The future of screening technology will not be defined by generalized AI.

It will be defined by domain-specific intelligence trained to understand the unique realities of the industries it serves.

That future starts with purpose-built models capable of delivering decisions that are transparent, reproducible, and operationally ready from day one.

To learn more about Solon and SNH AI's growing portfolio of digital employees for background screening, contact our team to request a demonstration.