Zero operational bottlenecks
AI agents operate autonomously and escalate via email or chat to request missing data.
Full data governance
The user can validate actions via email or chat after the fact and stop or modify any activity in ERP/SAP.
Risk mitigation and compliance
Every interaction generates a traceable and verifiable log, aligning with corporate audit requirements.
What is human-in-the-loop (HITL)?
The governance of intelligent processes
The HITL approach is an operational model in which a human operator actively participates in defining, supervising, validating, and making decisions about automated systems.
In complex business contexts, integrating human oversight into artificial intelligence workflows fulfills fundamental strategic functions.
Accuracy and exception handling
Human intervention resolves edge cases, informational ambiguities, and anomalous data that deviate from standard training patterns. This acts as a safeguard for process stability.
Operational accountability
Including human validation points ensures that high-impact decisions have a clear line of ethical and professional accountability.
Continuous optimization
Feedback from operators when resolving critical cases generates high-value data that the system uses to improve agent accuracy over time.
HITL Applications for Comply platform’s Agentic AI
Comply platform’s AI agents operate with complete autonomy to achieve specific objectives within business processes. When the system detects data anomalies, incomplete data, or deviations from price lists and internal master data, it automatically escalates the issue.
Human operators then intervene solely to resolve the issue and resume the machine’s operation.
Autonomous execution and data alignment
Once all the data has been extracted from the documents (whether they are sales orders, shipping documents, or supplier invoices) and it matches the internal master data and price lists, the agent executes the end-to-end process.
- The role of AI: The agent extracts information, validates data compliance, makes the necessary entries in SAP or the management system, and archives the document in accordance with regulations.
- Human in the Loop: The operator does not need to perform any manual actions. Once the task is complete, the agent sends the user a detailed summary email outlining the work performed to ensure perfect alignment of information for purely advisory purposes.
Escalation for missing data and asynchronous processing
If incoming documents contain insufficient information, ambiguities, or missing codes that prevent the secure completion of the transaction in the management system, the agent will trigger a support request.
- The Role of AI: The agent isolates the anomaly, pauses the upload temporarily, and generates an automated email addressed to the process manager. This email specifies exactly which missing elements are needed to proceed.
- Human in the Loop: The operator receives the notification and provides the requested information by replying directly via email. Once the human input is received, the AI agent processes the response, fills in the missing data, finalizes the accounting or logistics entry in the management system, and sends a final email summarizing the completed task.
Predictive Reasoning on Anomalies and Ex-Post Validation
In the most advanced scenario, when faced with complex exceptions or previously unseen data (for example, an order containing a product with no master data history or unrecognized codes) the agent applies deductive reasoning.
- The role of AI: Instead of blocking the workflow, the agent analyzes historical patterns, related price lists, and the structure of existing codes. The agent then autonomously generates or deduces the correct missing record. This completes the entry of the order or document directly within SAP, and the agent provides a reasoned authorization note.
- Human in the Loop: The process does not require preemptive intervention that blocks the workflow. After completing the operation, the agent sends a summary email detailing the action taken and the logical criteria applied. While maintaining absolute control over data governance, the operator can verify the record directly in the company’s ERP system and make ex-post changes or corrections if necessary.
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Tell us about your business workflows
We will design AI agents that can be integrated into your business workflows, with security controls, structured data management, and reproducible behaviors for recurring operational use cases.
AI SECURITY
Explore the key points for safe and reliable AI agents
Permissions, roles, and rules
The system operates in strict compliance with configured access permissions, executing tasks in accordance with operational protocols and internal records.
Transparency and traceability
Each operation generates a permanent, verifiable log that complies with the requirements of the EU AI Act and maps the exact logical path of the agent’s decisions.
Reproducibility
Determinism and scalability in processes. AI agents perform tasks in a standardized and consistent manner over time, ensuring the absence of operational variability.
F.A.Q.
Human in the loop
What is the concept of "human-in-the-loop"?
The Human-in-the-Loop (HITL) framework is a model of interaction in which the human operator is integrated into the artificial intelligence execution cycle.
In this architecture, the machine autonomously manages operational activities and refers complex cases or missing information validation back to the user.
What does "human-in-the-loop" mean?
For a company, it means combining the speed of agent-based automation with the security of human governance. Operators no longer perform low-level, manual, repetitive tasks, but instead assume the role of strategic supervisors who intervene only to guide AI agents when faced with exceptions or data anomalies.
What is the difference between "human-on-the-loop" and "human-in-the-loop"?
In the "human-in-the-loop" model, the operator intervenes actively during various stages of the process. For example, they might provide missing data via email to allow the AI agent to complete the task.
In the "human-on-the-loop" model, the AI agent executes the entire workflow autonomously. The user provides ex-post supervision by monitoring performance and validating results directly within the management system after the fact.