HITL architectures work by defining checkpoints within an otherwise automated process where the system pauses and waits for a human decision before proceeding, rather than having a person review every action after the fact. Which checkpoints require a human depends on the workflow's risk profile: a routine information request might never need review, while an action that moves money, alters medical records, or closes an account is routed for sign-off. This is typically implemented through explicit action classification rather than left to the AI's discretion.
HITL is what allows regulated MENA industries to adopt agentic AI at all, since regulators in banking and healthcare will not accept fully autonomous systems making consequential decisions without a documented human checkpoint. It also builds customer and auditor trust: an AI concierge can handle Arabic and English conversations at scale across WhatsApp and other channels, while every action that touches compliance, money, or sensitive records still passes through a person, satisfying frameworks like CBUAE oversight expectations.
In Eshal: Eshal implements Human-in-the-Loop through its Dynamic Action Gating framework, which classifies every workflow into Fully Automated, Human Approval Required, or Never Permitted at configuration time. This gives clients in banking, healthcare, and government a documented, auditable checkpoint for sensitive actions, while still allowing the AI concierge to resolve routine, low-risk requests independently across WhatsApp and other channels.