Move to Manufacturing Autonomy
Run manufacturing business operations through structured workflows that reduce errors, speed execution, and support growth without added overhead.
Time lost to manual work
AI embedded in operations - McKinsey
Up to 88% time processing with AI
↘ Manual work
Email and spreadsheet coordination
Manual order and invoice handling
Disconnected sales and finance
Paper-based processes
High audit and inspection preparation burden
Slow submissions, and delayed approvals
Reactive operations
↗ Autonomous work
Structured, event-driven regulated workflows
Automated extraction and validation
End-to-end presale-to-invoice execution
Integrated data, and systems
Logged, explainable AI and human decisions
Faster submissions, and inspections
Proactive, system-level orchestration
Further questions?
How quickly will this reduce manual work for our teams?
Built for controlled operations
RakerOne is designed for manufacturing, industrial, and distribution environments where scale, consistency, and control matter more than experimentation.
Every workflow runs under explicit operating rules: approvals, segregation of duties, version control, and human-in-the-loop checkpoints where required.
AI actions are logged, decisions are explainable, and outputs are fully traceable, so audits, customer inspections, and internal reviews become routine operations, not fire drills.
Works with existing systems
RakerOne overlays your current stack instead of forcing a rip-and-replace.
It integrates directly with ERP (Dynamics, SAP, NetSuite), WMS, TMS, MES, finance systems, planning tools, and document repositories, preserving existing processes while automating the friction between them.
That means faster deployment, lower operational risk, and workflows aligned with how industrial and distribution organizations already run, across plants, warehouses, suppliers, and finance teams.
Managed outcomes
RakerOne is delivered as a managed platform, not a set of AI tools your team has to assemble and maintain.
Our forward enablement team designs the workflows, configures governance, integrates systems, runs the platform, and tracks performance over time.
Success isn’t measured in models deployed or prompts written.
It’s measured in cycle time reduction, error elimination, faster closes, fewer exceptions, audit readiness, and reclaimed operational capacity, on the shop floor and in the back office.
