Agentech | AI-Powered Claims Automation for Insurance

In 2026, the insurance industry has reached a critical inflection point where trust is no longer an abstract value—it is the primary currency of operational success.¹ As carriers transition from AI experimentation to full-scale AI reliance, the "black box" era of opaque algorithms is being replaced by a demand for total transparency.¹ At Agentech AI, we believe that governance should not be a hurdle to innovation, but a competitive advantage. This philosophy is embodied in our Click-to-Evidence standard.

The New Regulatory Reality

The landscape has changed rapidly. By late 2025, 23 states and Washington, D.C., had already adopted the NAIC’s AI Model Bulletin, mandating that insurers establish rigorous governance, documentation, and audit procedures.³ This regulatory shift follows high-profile litigation where major carriers faced lawsuits for alleged "cheat and defeat" algorithms or for using AI to deny claims without proper human review.³ In this environment, the ability to prove why and how a decision was made is essential for avoiding legal and reputational risk.³

How We Operate: The Agentech Governance Framework

Agentech’s AI Governance policy is built upon five primary pillars that define our daily operations and product architecture: ⁵

Transparency and Explainability: We deploy traceable model workflows where AI decision trees are fully visible and editable. ⁵ Our core innovation, Click-to-Evidence Verification, ensures every AI-driven recommendation links extracted data back to its original source document (e.g., a specific line in a medical record or an image in a repair estimate).⁵
Fairness and Bias Mitigation: We don't just wait for annual reviews; Agentech produces quarterly internal AI performance and ethics reports. ⁵ We conduct regular bias analysis to ensure our "Invisible AI" operates without unfair discrimination, addressing the specific concerns raised by regulators regarding algorithmic bias.⁵
Accountability and Compliance: Our commitment to enterprise-grade security includes annual SOC2 Type II compliance and rigorous penetration testing.⁵ Crucially, our policy mandates an incident reporting protocol where any AI-related issue or security breach is reported to our compliance team within 24 hours. ⁵
Data Ownership and Security: We protect customer privacy by using anonymized or synthetic data for model training and maintaining strict opt-in policies.⁵
AI Lifecycle and Model Governance: We continuously monitor for "model drift" to ensure accuracy remains high as market conditions evolve.⁵

Bridging the Trust Gap with "Human-in-the-Loop"

Central to our operation is the "Human-in-the-Loop" framework. While Agentech’s agents can automate up to 80% of workflows out-of-the-box, we maintain a strict protocol where AI-driven work is flagged for human verification if the system's confidence is not 100%.⁶ This ensures that technology supports rather than replaces professional expertise, allowing adjusters to maintain full control over high-stakes decisions.⁵

Socializing Trust: Our Commitment to Enterprise Partners

We recognize that for our enterprise customers, AI adoption is a matter of due diligence. Our Go-To-Market strategy is built around Enterprise Success Readiness, where we proactively share our governance themes and potential pitfalls with client leadership.⁹

We socialize our policy by:

Proactive Due Diligence: Providing detailed responses to pre-meeting governance and security queries to streamline the onboarding process for major carriers.⁹
Audit-Ready Logging: Ensuring all system actions and modifications are logged and archived, making both internal and external audits seamless for our partners.⁵
Mission Alignment: Framing our AI not as a replacement, but as an "AI Workforce" that adheres to the highest ethical and regulatory standards, such as those required for FEMA and NFIP compliance.⁶

While some see governance as a burden, Agentech views it as a catalyst for growth. Carriers that prioritize governance-first AI programs are winning the trust of regulators, partners, and customers alike.¹ By providing a framework where AI provides the evidence and humans provide the expertise, we enable insurers to scale their operations responsibly and profitably. ²