Using hybrid LLM-Symbolic AI agents to overcome the burden of human verification of LLM Agents in high-stakes, regulated and mission critical domains.

It is now widely accepted that the limitations of LLM powered Agents which include hallucinations, non-determinism, and non-explainable outcomes, make these agents unsuitable for autonomous deployment in high stakes, regulated, & mission critical applications requiring Accuracy, repeatability, and auditability.

It is now also widely accepted that Human verification of LLM agents is a critical and often legally mandated necessity in high stakes, & regulated domains such as healthcare, finance, and law. This oversight is seen essential because of the above limitations of LLM powered autonomous AI Agents.

There is however a verification-value paradox emerging as recent studies have shown that the burden of human verification of an LLM's reasoning outweighs the time saved automating the reasoning in high-stakes, complex scenarios.

Verification is time-consuming for humans as they must essentially re-do or thoroughly check the reasoning process to ensure correctness. The cognitive load of verifying potentially complex reasoning can be significant. Not only does this negate the time saved deploying autonomous agents but also human subject matter experts find more job satisfaction in making the complex decisions themseves rather than verifying non-auditable agents.

XpertRule have pioneered a new approach for developing complex decisioning Agents to overcome the verification-value paradox!  The cornerstones of this approach are implemented in our XpertAgents platform:

1. Eliminate the human verification burden by shifting from agent real time verification with potentially tens of thousands of decision verifications every day, to agent design time verifications which are made typically only several times a month or so.
2. The design time LLM agent ingests & translates documents of rules & procedures (SOP, risk, compliance, advisory, troubleshooting, diagnostics etc.) into no-code graphical rules (decision models) that the human experts find easy and quick to validate, verify and edit where required.
3. The approved no-code decision models are deployed as autonomous agents at runtime with confidence of the accuracy, repeatability, compliance, and auditability.
4. The design time agents are also used to maintain & adapt the decision models as they evolve. The human expert is presented with the no-code graphical representation of the changes to the models for their rapid verification.

The XpertAgent design time agent not only translates documents of rules into no-code graphical rules for easy verification by subject matter experts, but it also captures the extensive knowledge / decision engineering expertise of our team to empower the design time agent into instructing / prompting the LLM on how to structure the decisions models for different domains such as troubleshooting and compliance.