For Supply Chain Operators

ERP-native AI agent platform for supply chain operators

Connect Oracle, SAP, Blue Yonder, and Epicor directly through MCP. Run approval-aware workflows with private RAG and enterprise controls from day one.

ERP SupportOracle, SAP, Blue Yonder, Epicor
MCP-nativeSingle protocol, live ERP queries
Private RAGTenant-isolated context layer
Approval WorkflowsHuman approval before write actions
48-hour DeploymentConnector + first workflows live
Security ControlsAudit trails, scoped access, encryption
Operator Dashboard Preview · Live ERP session
Inventory Value
$84.2M
Across 11 regions
Excess SKUs
147
Approval queue ready
Past-Due POs
18
Supplier follow-up drafted
ERPStatusEndpoints
Oracle Fusion 26ALive14
Blue Yonder SCPOLive9
SAP S/4HANALive12
Epicor EclipseLive8

Deployment Claim

48 hours from connector setup to first operator workflow in production.

Security Posture

TLS 1.3, scoped tool permissions, immutable audit logs, and approval gates on write actions.

Approval Safety

Agent drafts actions automatically; operators approve before POs, emails, or status updates are sent.

Product proof: sample operator workflows

Designed for live ERP data, not static BI exports. Each workflow is prebuilt and approval-aware.

Excess Inventory Recovery

1. Detect 180+ day aging by BU and region
2. Check contract return clauses via private RAG
3. Draft transfer/return action for approval
Before: 2-3 days manual triage → After: 35-minute approval cycle

Past-Due PO Intervention

1. Identify overdue lines and supplier risk signals
2. Draft supplier outreach with account context
3. Route to procurement manager for one-click send
Before: fragmented follow-up → After: same-day exception closure

Daily Operator Briefing

1. Pull overnight ERP changes and KPI shifts
2. Score exceptions by financial impact
3. Deliver briefing with recommended approvals
Before: 90-minute report assembly → After: auto-generated at 6:00 AM

MCP Command Center

Real-time 3D topology visualization of your entire SaaSquach agent stack — ERP connectors, policy layers, AI agents, security controls, and outputs. Every connection, every data flow, every risk — visible at a glance.

MCP Command Center · SaaSquach Agent Stack · Live Topology & Security Intelligence
Active Connections15 live nodes
Total Data Flow287,825 rph
Agent Team4 specialized agents
Security Controls284 active rules
Sentinel Gate11 events blocked (24h)

Live 3D Topology — Full Agent Stack

Every node in your SaaSquach deployment visualized in real time: ERP connectors (Oracle, Blue Yonder, Eclipse), policy inputs (Inventory Policy, Commission Clawbacks, Customer Commitments), the RAG + LLM intelligence layer, four specialized agents, Sentinel security gate, and output destinations. Drag to rotate. Scroll to zoom. Click any node for live metrics.

MCP Command Center 3D topology showing full SaaSquach agent stack — ERP connectors, policy layer, AI agents, Sentinel security gate, and supply chain dashboard

Agent Team

Four domain-specialized agents operate in parallel — each scoped to its own data source, policy set, and approval chain.

AgentDomainPrimary Data SourceStatus
Summit AgentOracle ERPPO management, vendor ETA syncActive
Ridgeline AgentBlue Yonder SCPODemand planning, replenishment signalsActive
LOA AgentInventory PolicyApproval workflows, threshold rulesActive
CarryClaw AgentCommission ClawbacksCompensation plans, clawback resolutionActive

Security & Data Classification

Sentinel gates every agent output. Data classification overlays show public, internal, and restricted flows in real time — with SOX/MNPI rings on all sensitive nodes.

Data DomainClassificationAgent AccessResult
Commission ClawbacksRestrictedRead + tokenizedSOX Gated
Inventory PolicyInternalRead + rule matchVerified
Customer CommitmentsInternalRead + risk scoreVerified
Financial PostingsRestrictedNo accessBlocked by policy
All agent outputs route through Sentinel before reaching any destination.

Enterprise Architecture

The SaaSquach AI operating model — connecting your business systems through intelligent agents, governed by enterprise security.

SaaSquach AI Enterprise Architecture - Operating Model showing Customer Layers (Business Functions, ERP Systems) and SaaSquach Layers (MCP, RAG/LLM, Agents, Security, Dashboards)

Customer Layers

Your existing systems — business functions, ERP data, contracts, and operational data. All connected and accessible to the AI layer.

SaaSquach Layers

MCP connectivity, RAG knowledge base, specialized agents, Sentinel security gate, and real-time dashboards.

Security Governs All

Every agent action routes through Sentinel — SOX compliance, data classification, approval workflows, and audit logging.

Deployment diagram and security controls

Proof over prose: how agents move from ERP data to approved action within enterprise guardrails.

ERP Connectors

Oracle, SAP, Blue Yonder, Epicor over MCP.

Context Layer

Private RAG for contracts, policies, prior decisions.

Agent Runtime

Scheduled monitors and triggered exception workflows.

Approval Gate

Human approval required before ERP write operations.

Operational Motion Before After SaaSquach
Exception triage Analyst-pulled reports from multiple systems Live queue with agent-prioritized actions
Supplier follow-up Email chains and manual status checks Drafted actions with approval workflow
Executive briefings Weekly manual prep and stale snapshots Daily auto-briefings from live ERP context
Connector rollout 3-6 month integration projects 48-hour initial deployment