Fully Powered Studio turns your engineering and operations know-how into AI workflows that prepare supplier, change and build-readiness packages. Built from your procedures, in the ChatGPT, Claude, Copilot or Gemini your team already uses.
Built for the AI you already use.
Claude
Copilot
Gemini
Illustrative examples.
Supplier qualification
Bring the supplier questionnaire, supporting documents and enterprise resource planning (ERP) record. Get a qualification packet assembled against your checklist: items present, missing or inconsistent, with source references and a drafted request for the gaps.
Engineering change coordination
Bring the change request, product lifecycle management (PLM) records, and exports of parts, open orders and inventory. Get a change-review package listing affected records, revision mismatches and open questions for engineering, sourcing and production.
Prototype and pilot builds
Bring the planned bill of materials, drawing revision index, parts-availability report and open action list. Get a readiness brief against your build checklist: missing parts, conflicting revisions and unresolved actions, with recorded owners and the source of each finding.
The supplier checklist. The change coordinator's way of spotting a mismatched revision. The build lead's questions before a pilot run. Those details can live in a procedure, loose notes or someone's head.
Fully Powered Studio captures that existing know-how and turns it into instructions, templates and checks. The next person preparing the package can use the same method, with your team's judgment built in.
For teams developing hardware, robotics, electronics, aerospace and space products, or energy equipment. Start with the handoffs between engineering, sourcing and the people preparing the next build.
Once the product is in regular production, recurring order, receiving and shipment workflows have their own needs. Explore those on our manufacturing page.
Start with files and exports your business has approved for its AI workspace. The workflow assembles the package and flags differences against your rules. Your team reviews the prepared work and updates the source systems.
Your engineering, sourcing and program leads set the standard and test the results. They make the technical decisions, approve suppliers and release changes.
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.
Have a broader brief? Start directly with Team & company implementations. Establishing a new function? Our reusable workflow foundations provide a separate starting point, adapted to your business.
Bring a checklist, a recent package or the person who knows the handoff. We'll show you where our technology can help your team prepare the next one.