Overview

Beltic Workflows is the automation backbone of the Beltic platform.

It provides an intelligent orchestration layer for designing, executing, and scaling operational workflows by combining AI agents, rule-based systems, and decisioning logic into a unified automation framework.

Workflows enable enterprises to automate complex Standard Operating Procedures (SOPs), consolidate multi-vendor integrations, and streamline decision-making pipelines while dramatically improving throughput, accuracy, and time-to-decision.

Core Purpose

Traditional compliance and operations teams depend on static rule sets and manual interventions.

Beltic Workflows is being designed to replace these with an adaptive, AI-driven orchestration engine that can respond dynamically to data, documents, and actions in real time.

Core Capabilities

1. AI-Assisted Automation

Beltic Workflows will expose a declarative interface for defining decision logic that combines rules and AI reasoning.

• AI agents interpret unstructured or semi-structured inputs such as documents, risk signals, or case metadata.

• Rules define deterministic control, while AI layers introduce flexibility and context awareness.

• Feedback loops feed model updates and refine accuracy over time.

Intended outcome: repetitive decisions can be safely automated, while exceptions are escalated for human review.

2. Decisioning Engine

At the core of Workflows lies a decisioning engine that synthesizes inputs from multiple intelligence systems — identity verification, document analysis, graph reasoning, and screening data.

• Executes Approve / Deny / Escalate logic within seconds.

• Supports conditional branching, threshold-based triggers, and risk score computations.

• Integrates natively with Beltic’s internal AI models to produce contextualized, traceable verdicts.

Intended outcome: Delivers true end-to-end automation from identity verification to case resolution, minimizing manual review latency.

3. Multi-Vendor Orchestration

Workflows will integrate seamlessly with Beltic Marketplace, allowing unified orchestration across heterogeneous vendor APIs and data systems.

• Chain-dependent processes (e.g., ID Check → Forgery Detection → Screening → Graph Query).

• Automated fallback and vendor selection based on performance metrics or service availability, if multiple vendors are available.

• Data normalization pipelines unify vendor outputs into a standardized schema for consistent evaluation.

Intended outcome: Operational teams gain vendor flexibility without re-engineering workflow logic or duplicating data integrations.

4. Unified Data and Context Sharing

Every workflow instance operates on Beltic’s unified data substrate, ensuring all signals across documents, risk indicators, and verification data to remain contextually synchronized.

• Data and metadata propagate automatically between Beltic modules (Graph, Screening, Docs, Cases).

• Context remains preserved across all decision nodes.

• Observability dashboards will track workflow accuracy and latency in real time.

Result: a single, cohesive view of every verification and decision event.

5. Feedback and Optimization

Each workflow is designed to evolve over time.

• Analyst outcomes inform retraining and threshold calibration.

• Accuracy, latency, and throughput metrics provide real-time performance tracking.

• Every automated decision retains an explainability trail for compliance audits.