Orders, material receipts and shipment records pass through several hands. Fully Powered Studio turns your SOPs, ad hoc routines and experienced people's know-how into reusable AI workflows that prepare the next step, in your own ChatGPT, Claude, Copilot or Gemini.
Built for the AI you already use.
Claude
Copilot
Gemini
Illustrative examples.
Job readiness
Bring the customer order, production-order export, document index and material-status report. Get a draft job packet organized against your company's readiness checklist: order requirements, drawing and instruction references, material status and open questions.
Missing revision references, unconfirmed materials and approvals still needed appear together, so the production lead can resolve them before releasing the job.
Purchasing and receiving
Bring the purchase order, packing list, receiving record and supplier documents. Get mismatched quantities, part or lot references and missing documents listed with their source records, plus a draft request to the supplier.
Your receiving checklist determines what to check for each material and supplier. The workflow prepares the exception record your purchasing and quality teams use to follow through.
Quality and shipment documentation
Bring the completed job record, inspection reports, material documents and customer's shipment checklist. Get a document index and draft cover note, with the supplied records matched to the job and lot references.
Missing documents, unsigned records and conflicting references are listed for your quality lead. Your shipping team gets a clear view of what is present and what still needs completing.
Which customer needs an extra record. What belongs in a job packet. Who resolves a receiving exception. Some of that is in your SOPs; some lives in a marked-up checklist or the way an experienced person walks the job.
Fully Powered Studio captures those steps and decisions, then builds and tests a reusable AI capability around them. Your way of working becomes something more of the team can use.
Start with ERP exports, order files, receiving logs and quality records in your own AI workspace. The workflow prepares a packet, discrepancy list or handoff for your team to check and use. Connections to your ERP or quality system can be included in a separately scoped implementation.
Your production, purchasing and quality leads set the standard for the work. We test the workflow against their checklists and have the intended users run real examples. Your people resolve exceptions and approve job releases, material dispositions and shipments.
Establishing supplier reviews or a customer onboarding process for the first time? Our reusable workflow foundations give you a starting point. We select methods and templates for that function, adapt them to your industry and business, then guide your team through first use and refinement.
Build what's missing with reusable workflows
For product development, engineering changes and prototype coordination, explore hardware and physical technology.
You have a written procedure
One agreed procedure built into an AI workflow, tested and handed over with notes. Three days once your procedure, examples and workspace are ready. Five business days of defect support after handover.
The know-how needs capturing
We capture one team's procedures and build one priority AI workflow. About two weeks from the first interview, with handover notes and ten business days of defect support after handover.
Introductory offers for converting existing workflows, once per client. Both use files and exports in your existing workspace. You can also start directly with a broader implementation or launch a new capability. Integrations and ongoing development are scoped with you.
Bring a job packet, receiving exception or shipment checklist. We'll identify where our technology can help and the right scope to put it to work.