Freehand's AI Teams connect to your TMS, ERP, EDI, and SFTP infrastructure through native connectors and API-first integration, with no ETL pipelines, no middleware layer, and no rip-and-replace. SOC 2 Type II certified, TMS-agnostic, and fully observable through Freehand Studio.
Most supply chain AI projects stall not on the AI itself but on the infrastructure requirements underneath it. ETL pipelines, middleware layers, TMS-dependent integrations, and missing security certifications block production deployment.
Connecting supply chain AI to existing TMS, ERP, EDI, and procurement systems without middleware requires API-first architecture most vendors don't deliver. Integration stretches 12-18 months.
AI tools that require data pipelines, schema transformations, and ETL layers create a data engineering project before any freight benefit is realized.
SOC 2 Type II, ISO 27001, and GDPR are baseline requirements for AI in enterprise finance workflows. Most vendors don't hold them.
AI tools built around a single TMS create dependency risk IT cannot accept. When TMS infrastructure changes, the AI integration breaks and the re-integration project starts over.
AI agents processing freight invoices, executing payments, and posting to ERP need complete decision traceability and governance controls.
Carrier portals, EDI feeds, and SFTP transfers require native connectivity that most AI vendors don't provide. Custom connector development falls to IT.
Freehand deploys agentic AI Teams on your existing TMS, ERP, and EDI infrastructure through native connectors, API-first integration, and EDI automation, with full agent observability, complete audit trails, and enterprise security certifications from day one.
Freehand reads from and writes to your existing ERP, TMS, and procurement systems directly through native connectors. No ETL pipelines, no schema transformation projects.
Direct connectors to SAP, Oracle Cloud ERP, Oracle JDE, NetSuite. TMS connections to Oracle TMS, Blue Yonder, MercuryGate, Manhattan, e2open. No middleware layer.
EDI feeds, SFTP transfers, and carrier portal connections managed natively. Invoice ingestion from every source type normalized without IT building or maintaining connectors.
Freehand operates across all major TMS platforms without dependency on any single vendor. Change your TMS without rebuilding your AI integration.
Every AI agent decision traceable in Freehand Studio. IT and compliance inspect every invoice processing decision, GL coding action, and payment approval with full lineage.
SOC 2 Type II, ISO 27001:2022, ISO 27017, ISO 27018, ISO 42001, GDPR, and CSA STAR certified. Documentation available from week one of evaluation.
The VP of IT's infrastructure mandate doesn't change. The implementation model for AI does. Fundamentally.
Outcomes measured from enterprise IT deployments across supply chain technology organizations.
Real outcomes from IT teams that have deployed Freehand AI Teams on existing enterprise infrastructure.
A Fortune 500 industrial manufacturer running SAP S/4HANA and Oracle TMS, where a previous freight AI vendor had been engaged for 14 months without reaching production deployment due to middleware complexity and failed security review.
A global consumer goods company operating 4 ERPs and 2 TMS platforms across 28 countries, where a 22-month data infrastructure project had failed to deliver a unified freight data layer for AI to operate on.
Every integration capability, security certification, and governance control a supply chain IT leader needs to deploy freight AI on existing infrastructure.
Native read/write connectors for SAP, Oracle Cloud ERP, Oracle JDE, NetSuite. No middleware. Deploys in 8 weeks.
Oracle TMS, Blue Yonder, MercuryGate, Manhattan, e2open. Change TMS without rebuilding the AI layer.
EDI 210, flat file SFTP, carrier portals, and email all handled through the same normalized ingestion pipeline. No custom development.
SOC 2 Type II, ISO 27001:2022, ISO 27017, ISO 27018, ISO 42001, GDPR, and CSA STAR. RBAC and data residency built in.
Every AI agent decision visible and auditable. IT and compliance inspect any invoice processing decision on demand.
Governed semantic layer over contracted rates, invoices, shipment data, GL rules, and payments without a separate data engineering project.
Supply chain IT requires governed agents with full audit trails. Freehand deploys four specialized agents that integrate natively with your existing stack.
Invoice Validation Agent ingests freight documents from EDI feeds, SFTP transfers, carrier portals, email, and ERP exports natively. Every source type normalized and classified automatically.
Every invoice validated against contracts, tariffs, and SLAs with full decision traceability logged in Freehand Studio. IT and compliance teams inspect any agent decision with complete lineage.
Validated invoices coded to GL accounts and cost centers automatically using the Context Graph as authoritative data source. Role-based access controls configured by IT administrators.
Payment Approval Agent routes approved invoices to ERP payment queues with complete documentation. All GL postings, payment files, and accrual entries pushed to SAP, Oracle, or NetSuite natively.
Freehand's proprietary Context Graph unifies contracted rates, carrier invoices, shipment data, GL rules, cost center structures, and payment records into a single governed semantic layer. AI agents operate on consistent, auditable data across every connected system without a separate data engineering project.
The platform is built on the Freehand Logistics Language Model, a domain-specific LLM trained on freight data, carrier billing patterns, and logistics invoice structures. The model understands how freight invoices relate to GL coding, cost centers, and contracted rate structures.
Straight answers to what VPs of IT ask before deploying agentic AI in supply chain workflows.
Deploying autonomous AI Teams that execute directly inside your existing ERP, TMS, and procurement systems through native API connectors, without middleware, ETL pipelines, or rip-and-replace infrastructure changes.
Native connectors for Oracle TMS, Blue Yonder, MercuryGate, Manhattan, and e2open. The platform is TMS-agnostic by design, operating independently of any single vendor's API structure.
SOC 2 Type II, ISO 27001:2022, ISO 27017, ISO 27018, ISO 42001, GDPR, and CSA STAR certifications. Full documentation available in week one of evaluation.
Freehand Studio provides a governance console where every AI agent decision is logged with full decision lineage. IT and compliance teams inspect any invoice processing action, GL coding decision, or payment approval.
The Freehand AI layer is architecturally decoupled from any specific TMS. It connects to TMS systems to read shipment and rate data but does not depend on any TMS vendor's API structure remaining constant.
Freehand manages EDI feeds and SFTP transfers natively through its invoice ingestion layer. Every carrier source type, whether EDI 210, flat file SFTP, carrier portal export, or email attachment, is handled by the same normalized pipeline.
Freehand goes live in 8-12 weeks with an average of 11-20 hours of customer IT team time across the full deployment. Native ERP and TMS connectors deploy in parallel with EDI and SFTP configuration.
Ongoing IT involvement is minimal. The Context Graph maintains the data layer automatically as connected systems update. The Freehand Logistics Language Model improves continuously without manual retraining.
VPs of IT deploy agentic AI on existing SAP, Oracle, and TMS infrastructure with native connectors, no middleware, no rip-and-replace, and full agent governance from day one.