Native AI Orchestrator & MoE Workforce Instead of relying on a single "black box" model, our multi-agent orchestration software deploys a Parent/Child Mixture of Experts (MoE) workforce of specialized erp ai agents. Child worker sub-agents evaluate domain-specific variables (such as warehouse substitute availability, cost tiers, and lead times) and generate structured JSON Data Contracts for the Parent orchestrator.
Curated RAG Batches & Context Compression Eliminate runaway token costs and context degradation. Select 1 to 3 live ERP BI reports and pass both filtered training data and relational schema metadata into specialized RAG Knowledge Batches—while an integrated compression wizard strips irrelevant columns and applies 30/60/90-day time horizons, compressing prompts by up to 80%.
Deterministic Stored Procedures & MCP Tool Calling Our native execution layer leverages Model Context Protocol (MCP) to trigger pre-compiled T-SQL stored procedures. This delivers dependable agentic ai in erp where every AI action executes with 100% database-enforced ACID safety, delivering atomic CRUD with zero state drift.
Programmatic & Agentic Trigger Orchestration Operates hand-in-hand with our orchestration layer. Toggles seamlessly between rules-based programmatic tasks and autonomous Agentic AI runs driven by scheduled event triggers (WHEN) and boolean condition gates (IF).
Human-In-The-Loop Governance Gates Enforce agentic business orchestration controls across departments. Multi-user Human-in-the-Loop (HITL) approval gates require manager sign-off on AI-generated action plans (such as Forecast module Supply Plans) before stored procedures execute against live general ledger tables.
Real-Time Streaming Data-Mirror / Warehouse Our proprietary Data-Mirror streams live transactional data into an isolated read-replica. Heavy RAG reasoning runs independently, guaranteeing sub-millisecond read access for AI agents without locking primary production OLTP tables...continued ➔