Supply Chain AI Agents

Agents for the work
that needs judgment

Contracts, purchasing, sourcing, trade and customer support — your ERP, SCM, CRM, WMS and customs systems stay exactly where they are. Agents take over the lookups, cross-checks, decisions, drafts and approval requests that ran between them, and once a person approves, the result is written back to those systems.

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Five business agents
Contracts · purchasing · sourcing · trade · support
Multi-agent collaboration and replanning
Integrate, don't replace
ERP · SCM · CRM · WMS · customs
Connectors over API and MCP
Approval-based execution
Human Approval Gate
A person approves anything binding
100%
Audit Trail
Rationale, approval and history recorded
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 THE PROBLEM

Why supply chain work
slows down

Systems that don't talk
Contract, inventory, ordering and customs information is scattered across ERP, SCM, CRM, WMS, customs systems and documents. Someone has to look through all of them, line them up, and decide.
Judgment inside routine work
Verifying documents, deciding when and how much to order, reviewing contract terms, checking customs requirements. It repeats every day, yet rules alone don't settle it — it runs on experience.
When an exception hits,
it starts over
A supply delay, a regulatory change or a data mismatch sends every affected team back to review it again. Working out the blast radius and the alternatives takes too long.
 ARCHITECTURE

Three layers

Layer 3 — approval · execution · integration
Human approval gate + connectors to existing systems
Approval gate · kill switchERP · SCM · CRM · WMS · customs integration (API / MCP)Source data stays inside the companyAudit Trail 100%
Layer 2 — five business agents (multi-agent orchestration)
Contracts · purchasing · sourcing · trade · customer support
Contract agentPurchasing agentSourcing agentTrade agentCustomer support agent · exception handling · replanning
Layer 1 — shared intelligence (core AI)
Document intelligence · embedded rules · quantitative forecasting · rationale
Automatic document checks (cross-referencing)Deadline and quantity checks (scoring)Early risk alertsRule checks (rule engine + RAG)Alternatives (impact analysis and replanning)Document and draft generation
 5 AGENTS

Five business agents

AgentWhat it doesWhat it decides
Contract agentExtracts and reviews contract terms and risk clauses, drafts standard contracts, flags clause risk in advance, and analyzes how a contract change hits purchasing, margin and supplyTerms · risk clauses · impact of changes
Purchasing agentPulls inventory, sales and inbound data, decides whether to order and when and how much, drafts the order, and forecasts demand from repeat-purchase patternsWhether · when · how much
Sourcing agentAnalyzes delivery, price and quality history by supplier, catches disruptions early, proposes alternate suppliers or split shipments, and replans when supply slipsSupply risk · alternatives
Trade agentCross-verifies invoice, packing list, B/L and C/O, reconciles item, quantity, value and origin, proposes HS code candidates, and detects missing documents or customs-hold riskDocuments · customs requirements
Customer support agentIdentifies which orders and customers a delay or disruption touches, drafts substitutions and customer notices, checks return and recall criteria, and escalates to a personDelivery · returns · handling the fallout
 HOW IT RUNS

How execution works

Hybrid AI routing
Reading documents → Document AI · OCR
Rules and contract terms → rule engine + RAG
Quantity, timing and risk → ML forecasting and scoring
Documents and reply drafts → LLM + grounding
Reasoning on every decision
The governing clause and data source attached
Natural-language explanation from SHAP and rules
A confidence score per decision
Learning from approvals, edits and rejections
Three levels of autonomy
Level 1 — recommendation, reviewed by a person
Level 2 — execution after approval
Level 3 — conditional automation for low-risk, repetitive work
Binding acts need a person's approval at every level
Integration principles
No direct database access · your APIs are registered as tools
Source data stays inside the company
Tenants, permissions and credentials kept separate
Safety controls
Kill switch for an immediate stop
Halt by agent or by task, stage at a time
Recovery from failed runs · switching to a fallback model
Blocking anything beyond granted authority
How it is rolled out
A shared core plus per-company configuration
Start with one area, expand to five
Public cloud · dedicated VPC · air-gapped network
Configure business rules, document formats and approval policy

See what an agent can take on
in your supply chain

We have the unit-task breakdown for all five areas — contracts, purchasing, sourcing, trade and customer support — and the design for splitting work between agents and your existing systems.
We are recruiting companies for the pilot.

Request a demo →