
THE DEFINITIVE CODE
.png)

THE ICON BEHIND THE CODE
Encoding Judge Constance Baker Motley's legal rigor into a modern standard for defensible workplace investigations

As the first Black woman to argue before the Supreme Court, Constance Baker Motley won nine of ten landmark civil rights cases through meticulous preparation, unwavering principle, and a commitment to due process that transformed American jurisprudence. Her legacy demonstrates that true equity requires both rigorous procedure and substantive fairness.
Today, The C.O.N.S.T.A.N.C.E. Code™ applies these same principles to workplace investigations. We ensure that AI systems analyzing complaints, witness statements, and evidence maintain the procedural integrity and impartiality that Judge Motley championed—transforming AI-assisted investigations from potential liabilities into benchmarks for defensible, transparent due diligence. It provides the comprehensive oversight and normative standards that dictate how investigations should be conducted—from vendor selection and ongoing evaluation to final resolution.
THREE-PHASE INVESTIGATION INTEGRITY BLUEPRINT

The C.O.N.S.T.A.N.C.E. Code™ is the governing framework that certifies your AI-assisted workplace investigation's adherence to legal due diligence standards.
PHASE 1: THE INVESTIGATION AUDIT
AI KARENx™ Neutralization Protocol for Workplace Investigations
We conduct forensic analysis of investigation algorithms and vendor tools, identifying biases in complaint triage, evidence weighting, and credibility assessment that could compromise investigative outcomes.
PHASE 2: THE EVIDENCE PROVENANCE FRAMEWORK
The COPERNICUS Canon™ for Investigation Data Integrity
We install verified data provenance as the foundation of your investigative AI, ensuring algorithms process evidence from properly documented sources without introducing interpretive bias or procedural contamination.
PHASE 3: THE DUE DILIGENCE ARCHITECTURE
The C.O.N.S.T.A.N.C.E. Code™ Implementation
We implement specialized governance frameworks that provide continuous oversight of AI-assisted investigations—ensuring they enhance rather than undermine employees' right to be heard and investigative integrity.
THE C.O.N.S.T.A.N.C.E. CODE IMPLEMENTATON

STEP 1: THE DISCOVERY
Vendor & Algorithm Due Diligence
This is our fact-finding phase. We conduct a proactive, forensic assessment of the AI systems and vendors used in your workplace investigations to uncover hidden biases and procedural risks before a case even begins.

Algorithmic Bias Detection:
Forensic analysis of complaint triage, witness credibility assessment, and evidence weighting algorithms
Vendor Transparency Verification:
Assessing investigation firms' AI tools for explainability, training data provenance, and bias mitigation
Procedural Fairness Validation:
Ensuring AI systems maintain neutral investigation protocols and equal treatment principles
Investigation Risk Forecasting:
Identifying potential legal exposure from automated investigative decisions
When your organization uses AI to analyze evidence in a workplace investigation, you are legally responsible for its fairness and accuracy. While the AI KARENx™ Neutralization Protocol is the diagnostic tool that finds the bias, The C.O.N.S.T.A.N.C.E. Code™ is the permanent legal framework that ensures ongoing oversight.
It provides the critical governance that HR, General Counsel, and Compliance Leaders need, installing the normative standards your process must follow. This allows you to prove your AI-assisted investigations uphold the highest benchmarks of due diligence, thoroughness, and legal compliance—transforming a hidden risk into a defensible record of integrity

STEP 2: THE TESTIMONY
Real-Time Investigation Oversight & Auditing
This is the live-audit phase. We provide independent, real-time monitoring of active, AI-assisted cases, rigorously auditing the algorithm's output to ensure its conclusions are impartial and its process upholds every party's right to a fair hearing.
Dynamic Process Auditing:
Independent monitoring of AI involvement throughout active investigations
Evidence Integrity Verification:
Ensuring digital evidence preservation and chain of custody in AI-processed materials
Neutrality Assurance Protocols:
Continuous validation that AI systems maintain impartiality across complaint types and parties
Intervention Framework:
Establishing clear protocols for human oversight of algorithmic recommendations

STEP 3: THE VERDICT
Due Diligence Certification & Findings
This is our judgment phase. We deliver the definitive certification that validates the entire investigative process, providing a legally defensible record that substantiates the fairness and integrity of the outcome.
Certification of Due Diligence:
Formal validation of investigation process integrity and algorithmic fairness
Transparent Documentation:
Comprehensive audit trails meeting EEOC standards and legal defensibility requirements
Neutrality Assurance Protocols:
Confirming investigation protocols adhere to workplace laws and ethical standards
Stakeholder Assurance Reporting:
Clear communication of investigation integrity to leadership, legal teams, and regulators
Unlock AI Transparency: Bridge the Explainability Gap
Demystify AI decisions, ensure fair outcomes, and build trust in every investigation.
In AI-assisted workplace investigations, a communication breakdown can quickly escalate into legal risk. HR teams need clear technical transparency for effective oversight, and employees deserve straightforward explanations to trust the process.
This is the "Explainability Gap"—the space where doubts, disputes, and unfair process claims can thrive.

THE DUE DILIGENCE NETWORK
HR COMPLIANCE LEADERS
For organizations implementing AI in harassment, discrimination, and misconduct investigations requiring independent oversight.
CORPORATE LEGAL COUNSEL
For legal teams needing defensible certification of investigation processes and AI system integrity.
WORKPLACE INVESTIGATION FIRMS
For professional investigators integrating AI tools while maintaining procedural rigor and ethical standards.
ENTERPRISE RISK MANAGEMENT
For organizations mitigating legal exposure from AI-assisted investigative decisions and outcomes.

ENSURE INVESTIGATIVE INTEGRITY

