Spend Management Software for CIOs

Spend Management Software for CIOs: Deploy on Your Existing Stack Without a Multi-Year Integration Project

Freehand's AI Teams deploy on your existing SAP, Oracle, and TMS infrastructure through native connectors and API-first integration. No rip-and-replace. No middleware. SOC 2 Type II and ISO 27001 certified. Live in 8 weeks.

8 wks
to live on your existing ERP, TMS, and EDI infrastructure
Zero
middleware or rip-and-replace required for deployment
SOC 2
Type II, ISO 27001, GDPR, and CSA STAR certified
The Problem

What's Slowing Enterprise AI Adoption in Supply Chain

Most enterprise AI projects in supply chain stall because they require replacing existing ERP and TMS infrastructure, demand lengthy integration projects, or lack the security and governance controls IT requires for production deployment.

AI Deployment That Demands ERP Replacement

Most freight AI tools require ripping out SAP or Oracle to work. Multi-year implementation projects, high disruption risk, and no guarantee the new system handles edge cases.

Integration Complexity Blocking Production Deployment

Connecting freight AI to existing TMS, ERP, EDI, and procurement systems without middleware requires API-first architecture that most vendors don't actually have. Integration stretches 12-18 months.

Security and Compliance Requirements Not Met

SOC 2 Type II, ISO 27001, and GDPR are baseline requirements for enterprise AI deployment. Most freight AI vendors don't hold the certifications IT requires.

No Agent Observability or Governance Layer

AI agents processing invoices, executing payments, and posting to ERP need complete audit trails and governance controls. Without them, IT cannot approve production deployment.

Vendor Lock-In with TMS-Dependent AI

Freight AI tools built on a single TMS create dependency risk. If the TMS changes, the AI breaks. Enterprise IT needs TMS-agnostic AI that works across Oracle TMS, Blue Yonder, MercuryGate, and others.

Freight Data Infrastructure Without Governance

Freight, 3PL, procurement, AP, and trade compliance data sits in disconnected systems with no common data layer, no consistent schema, and no governance controls.

The Solution

What Freehand Delivers Across the CIO's Enterprise AI Mandate

Freehand deploys AI Teams on your existing ERP and TMS infrastructure through native connectors, API-first integration, and EDI automation, with full agent observability, complete audit trails, and enterprise security certifications from day one.

01

API-First Deployment on Existing ERP and TMS

Native connectors to SAP, Oracle Cloud ERP, Oracle JDE, and NetSuite. Direct integration with Oracle TMS, Blue Yonder, MercuryGate, and others. No middleware, no rip-and-replace.

02

EDI and SFTP Automation at Enterprise Scale

EDI feeds, SFTP transfers, and carrier portal connections managed natively. Invoice ingestion from every source type, normalized and processed by AI without manual data preparation.

03

Enterprise Security and Compliance

SOC 2 Type II, ISO 27001:2022, ISO 27017, ISO 27018, ISO 42001, GDPR, and CSA STAR certified. Role-based access controls, data residency controls, and complete audit trails built into every workflow.

04

Agent Observability and Governance in Freehand Studio

Every AI agent decision visible, traceable, and auditable in Freehand Studio. IT and compliance teams can inspect every invoice processing decision, GL posting, and payment approval without black-box AI risk.

05

TMS-Agnostic AI Without Vendor Lock-In

Freehand operates across all major TMS platforms without dependency on any single vendor. Change your TMS, keep your AI. No rebuilding, no re-integration, no re-training required.

06

Freight Data Infrastructure and Governance Layer

The Freehand Context Graph unifies contracted rates, carrier invoices, shipment data, GL rules, and payment records into a governed semantic layer for all AI agent operations.

Why Choose Freehand?

Every ERP System. Every Data Source.

The CIO's infrastructure mandate doesn't change. The AI deployment model does. Fundamentally.

Without Freehand
With Freehand
Freight AI requires ERP replacement or 12-18 month middleware integration projects before any value is realized.
API-first native connectors to SAP, Oracle, and NetSuite deploy in 8 weeks. No middleware, no rip-and-replace.
AI vendor doesn't hold SOC 2 Type II or ISO 27001 certifications. Security review blocks deployment approval.
SOC 2 Type II, ISO 27001, GDPR, and CSA STAR certified from day one. Enterprise security review cleared without exceptions.
AI agents operate as black boxes with no audit trail. IT and compliance teams cannot inspect decisions.
Every AI agent decision traceable in Freehand Studio. Complete audit logs, decision trails, and approval workflows visible.
Freight AI built on a single TMS creates vendor lock-in. Change your TMS, rebuild your AI integration.
Freehand is TMS-agnostic by design. Connects to all major TMS platforms. Change your TMS without disrupting the AI layer.
Benefits

What Changes When Enterprise AI Deploys Without Ripping Out Your Stack

Outcomes measured from enterprise IT deployments across Fortune 100 supply chain and finance organizations.

8 wks
to live on existing ERP and TMS infrastructure without rip-and-replace
Fortune 500
Zero
middleware or custom connector development required
Enterprise IT
100%
agent decision auditability through Freehand Studio from day one
CIO Outcome
Enterprise security review cleared in first evaluation. SOC 2 Type II, ISO 27001, and GDPR documentation provided on request.
TMS-agnostic deployment means no vendor lock-in and no re-integration risk when infrastructure changes.
Context Graph provides governed freight data infrastructure without a separate data engineering project or timeline.
Every AI agent decision traceable with complete audit logs. Finance and compliance teams approve production deployment from day one.
EDI, SFTP, and carrier portal ingestion managed natively. No custom connector development required from IT team.
Role-based access controls and data residency configurations set by IT administrators without development work.
Case Studies

Measurable Outcomes from Week One

Real outcomes from IT leaders that have deployed Freehand AI Teams on existing enterprise infrastructure.

Case Study 01

Fortune 500 Industrial Manufacturer

A Fortune 500 industrial manufacturer running SAP S/4HANA and Oracle TMS with a previous freight AI vendor that required 14 months of integration work before the first invoice was processed.

8 wks
From contract signature to live AI processing on existing SAP infrastructure
Zero
Middleware or custom connector development required
  • Native SAP connector deployed and processing live freight invoices in week 8. No middleware layer, no custom development
  • Full agent observability configured in Freehand Studio. IT and finance teams approved production deployment in first security review
  • Oracle TMS integration live without any TMS configuration changes. Freehand layered over existing infrastructure exactly as designed
Fortune 500 · Industrial Manufacturing
Case Study 02

Global Consumer Goods Company

A global consumer goods company operating 4 ERPs across 28 countries with a previous freight technology project that had run 22 months and still wasn't processing invoices in production.

4 ERPs
All connected and processing live within 10 weeks of deployment
22 months
Previous integration project timeline replaced by 10-week Freehand deployment
  • All 4 ERP environments connected and live within 10 weeks. No middleware required across any environment
  • ISO 27001 and SOC 2 documentation provided in week 2. Security review completed before go-live without exceptions
  • Context Graph unified freight data across all 4 ERPs into a single governed layer. Data engineering project scope reduced to near zero
Global Operations · Consumer Goods
Platform Capabilities

Built for Enterprise IT Requirements Across the Full AI Deployment Mandate

Every capability a CIO needs to deploy freight AI on existing infrastructure, with the security certifications, observability controls, and integration architecture enterprise IT requires.

API-First ERP Integration

Native connectors to SAP, Oracle Cloud ERP, Oracle JDE, and NetSuite. Direct read/write without middleware. Deploys in 8 weeks.

TMS-Agnostic Connectivity

Oracle TMS, Blue Yonder, MercuryGate, Manhattan, and e2open all supported natively. Change TMS without rebuilding the AI layer.

EDI and SFTP Automation

EDI feeds, SFTP transfers, and carrier portal connections managed natively. No custom connector development required from IT.

Enterprise Security Certifications

SOC 2 Type II, ISO 27001:2022, ISO 27017, ISO 27018, ISO 42001, GDPR, and CSA STAR with RBAC and data residency controls.

Agent Observability via Freehand Studio

Every AI agent decision visible and auditable. IT and compliance inspect any invoice processing decision, GL posting, or payment approval on demand.

Context Graph Data Governance

Unified governed semantic layer over contracted rates, invoices, shipment data, GL rules, and payments. Single source of truth for AI operations.

AI Teams

Meet the Agents Running Inside Your Enterprise Stack 24/7

CIO-grade AI deployment requires governed agents with full audit trails. Freehand deploys four specialized agents that integrate natively with your existing infrastructure.

Step 01

Invoice Validation Agent

AI Teams ingest invoices from EDI, SFTP, email, carrier portals, and ERP feeds natively. Every document classified, normalized, and routed automatically. Zero manual data preparation required from IT.

Zero manual routing or custom development
Step 02

Invoice Audit Agent

Every invoice validated against contracts, tariffs, and SLAs with full decision traceability. Every agent action logged. IT and compliance teams inspect every decision without requesting exports.

Complete auditability, every processing cycle
Step 03

GL Coding Agent

Validated invoices coded to GL accounts and cost centers automatically per chart of accounts. Every GL posting decision traceable through the Context Graph. IT administrators configure access controls without development.

Governed GL operations from day one
Step 04

Payment Approval Agent

Payment Approval Agent routes approved invoices to ERP payment queues with complete documentation. All outcomes pushed to SAP, Oracle, or NetSuite natively without middleware. Every payment fully traceable.

ERP integration without middleware, always
Technology

Powered by the Freehand Context Graph

Enterprise AI requires a governed data foundation. The Context Graph is Freehand's answer to the data infrastructure problem that blocks most freight AI deployments.

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.

  • Every AI agent decision is grounded in verified data from the Context Graph, not pattern matching on unstructured inputs.
  • Every operation is fully traceable through Freehand Studio, from invoice ingestion through GL posting through ERP disbursement.
  • The Context Graph learns from every processing cycle. Accuracy and processing speed improve continuously without manual model retraining or rules updates.
FAQ

CIO Questions Answered Before Deploying

Straight answers to what Chief Information Officers ask before deploying enterprise AI on existing infrastructure.

What should CIOs evaluate in spend management software?

CIOs need to assess integration architecture, security certifications, agent governance controls, and deployment timeline. Freehand connects to SAP, Oracle, and existing TMS infrastructure through native API connectors with full agent observability through Freehand Studio.

How long does enterprise deployment take?

Freehand goes live in 8-12 weeks with 11-20 hours of customer team time. Native ERP and TMS connectors deploy without custom integration work. EDI and SFTP connections are configured in parallel.

What security certifications does Freehand hold?

SOC 2 Type II, ISO 27001:2022, ISO 27017, ISO 27018, ISO 42001, GDPR, and CSA STAR certifications. Role-based access controls, data residency controls, and encryption standards built into every AI workflow.

How does agent observability work in Freehand?

Freehand Studio provides a complete governance layer for all AI agent operations. Every invoice processing decision, GL coding action, and payment approval is logged with full decision traceability for IT and compliance inspection.

What TMS platforms does Freehand integrate with?

Native connectors for Oracle TMS, Blue Yonder, MercuryGate, Manhattan, and e2open. The platform is TMS-agnostic by design. Changing your TMS does not require rebuilding the Freehand integration.

How does Freehand handle EDI and SFTP connections?

EDI feeds and SFTP transfers are managed natively by Freehand without custom connector development from IT. Invoice ingestion from carrier portals, email, and ERP exports is all handled through the same normalized ingestion layer.

What does Freehand's data infrastructure require from IT?

Freehand's Context Graph builds the governed data layer from your existing systems without a separate data engineering project. No data warehouse requirement, no ETL pipeline, no custom schema work from IT.

How does Freehand avoid vendor lock-in?

Freehand is TMS-agnostic and ERP-connective by design. All outputs are pushed to your systems of record natively. The API-first architecture means IT teams can integrate Freehand outputs into internal data warehouses without dependency on Freehand's own repository.

Get Started

See Freehand Deploy on Your Existing Stack in 8 Weeks.

CIOs go live on existing SAP, Oracle, and TMS infrastructure in 8 weeks. No middleware, no rip-and-replace, full agent governance from day one.