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Solutions

Manufacturing
and distribution.

Manage production orders, customer orders, and inventory.

A harness is the software around an AI model: it brings in business records, remembers decisions, applies workflow checks, and gives the model tools to carry out the work.

Faraday CageManufacturingProduction orders, from material checks to shipment.

Manufacturers coordinating work across engineering, purchasing, production, and quality.

  1. Order
  2. Materials
  3. Production
  4. Quality
  5. Shipment

What it handles

  • Check material availability, reservations, and holds before production starts.
  • Use the current drawing revision and check machine, operator, and tooling requirements.
  • Replan affected work when a machine stops, material is delayed, or an inspection fails.
  • Check production, quality-release, and shipment records before marking an order complete.

How it works

  1. Read the records. Bring together the information needed for the next decision.
  2. Check and act. Check prerequisites, use the permitted tools, and retain the result.
  3. Handle changes. Refresh affected records and recover when a step fails.
  4. Verify the outcome. Check the final business records before calling the task complete.

Compared with a frontier model used on its own

What the harness adds

A stronger model still needs current records, tools, and a way to track the work. Faraday Cage m1 adds the workflow structure around those decisions.

Connected context
Keeps the order, material, engineering revision, and production progress together between decisions.
Prerequisite checks
Checks whether the next operation is allowed and feasible before trying it.
Recovery
Revisits the affected work when a revision, hold, or resource changes.
Verified completion
Checks the resulting quality and shipment records, so a finished plan is not mistaken for a finished order.

Example workflow

A machine stops halfway through a job. m1 checks the interrupted operation, material already used, and available qualified resources before choosing a recovery path. Quality release still has to be completed before shipment.

Why we use RL environments

An RL environment is a practice version of a business workflow. Actions change its records, and the environment checks whether the work finished correctly.

Manufacturing practice workflows include material holds, engineering changes, machine interruptions, and failed inspections. Each decision changes what can happen next.

We use this feedback to refine what the harness reads, remembers, and does next. The environment gives us repeatable problems for testing controller decisions and harness changes before operational use.

How this could work for your team

Start with one production workflow. We map its records, routing, resource requirements, and approval rules, then test normal orders and disruptions in a practice environment before considering operational use.

You define which actions are permitted and which need human approval. We agree on a limited first deployment, the required reviews, and the evidence needed to expand it.

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Faraday CageDistributionCustomer orders, from stock allocation to reconciliation.

Distributors coordinating customer demand, inventory, suppliers, warehouse work, and finance.

  1. Order
  2. Stock & supply
  3. Allocation
  4. Fulfillment
  5. Reconciliation

What it handles

  • Check available stock and existing reservations before promising inventory.
  • Find purchasing options that respect supplier quantities, lead times, and capacity.
  • Review affected orders when a supplier changes a delivery or stock becomes unavailable.
  • Keep warehouse work, shipments, invoices, and reconciliation linked through completion.

How it works

  1. Read the records. Bring together the information needed for the next decision.
  2. Check and act. Check prerequisites, use the permitted tools, and retain the result.
  3. Handle changes. Refresh affected records and recover when a step fails.
  4. Verify the outcome. Check the final business records before calling the task complete.

Compared with a frontier model used on its own

What the harness adds

A stronger model still needs current records, tools, and a way to track the work. Faraday Cage d1 adds the workflow structure around those decisions.

Existing commitments
Carries earlier reservations into the next decision, so the same stock is not allocated twice.
Supply constraints
Considers supplier lead times and purchasing rules alongside customer delivery requirements.
Exception handling
Rechecks affected allocations when supply or inventory changes.
Verified completion
Checks fulfillment and financial records together instead of stopping at a purchase or shipment plan.

Example workflow

A supplier pushes back an incoming delivery. d1 identifies the orders relying on that stock, checks other available supply, and revisits allocation. It keeps the eventual shipment and invoice tied to the same order.

Why we use RL environments

An RL environment is a practice version of a business workflow. Actions change its records, and the environment checks whether the work finished correctly.

Distribution practice workflows include stock shortages, competing reservations, supplier delays, and reconciliation exceptions. An allocation reduces the inventory available to other orders.

We use this feedback to refine what the harness reads, remembers, and does next. The environment gives us repeatable problems for testing controller decisions and harness changes before operational use.

How this could work for your team

Start with one order-to-fulfillment workflow. We map stock rules, supplier terms, customer commitments, warehouse steps, and approval limits, then test shortages and delays before considering operational use.

You define which actions are permitted and which need human approval. We agree on a limited first deployment, the required reviews, and the evidence needed to expand it.

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Built around your operation

Start with one workflow.

01

Map your process

Identify the records, decisions, constraints, and approvals for one recurring job.

02

Test it in practice

Run normal cases and disruptions. Check completed work, failures, and resource use.

03

Set operating limits

Choose where the harness can act, where a person reviews, and what evidence proves completion.

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