Your outsourced AI function for manufacturers.

Choose the path that matches your needs now. Learn independently, bring an unresolved company decision to AI Direction, or add ongoing support for approved AI tools and workflows. Each option can stand alone.

Implementation comes later, and only when a real workflow has an owner, permitted information, a human decision boundary, a current baseline, and evidence that changing it is worthwhile.

1. Learn

   Build practical judgment.

   Start the free, self-guided Manufacturing AI Academy without a paid AI license or company files—or discuss a bounded company learning engagement.

   Explore the free Academy →
2. Decide

   Choose where AI fits.

   Use a free Fit Call to test relevance, then a fixed-scope AI Direction Sprint when leadership needs an evidence-backed decision.

   Review AI Direction →
3. Manage

   Operate and improve AI responsibly.

   Use recurring fractional AI leadership to support approved tools and workflows alongside management, quality, and IT or MSP.

   Review Managed AI →

Magnetta begins with the current workflow and the decision it is meant to improve—not a preferred product. The method retains a stop decision throughout: education, a process correction, an approved existing tool, another provider, or no AI may be the right result.

Bounded implementation is available downstream when the problem, owner, information boundary, human authority, operating measure, and smallest adequate technology layer are clear enough to evaluate.

1. 01

   Frame and bound

   Name the work, owner, source, friction, consequence, permitted information, human decision, and current measure.

2. 02

   Choose and evaluate

   Prefer the smallest adequate layer, test representative cases, preserve exceptions, and keep a named person able to reject the output.

3. 03

   Operate or stop

   Support approved use, record issues and changes, compare performance, and correct, pause, retire, or avoid the workflow when evidence requires it.

Familiar front door Approved employee interface

Least-complex approved connection for each source or action

Approved knowledge

Owned sources, permissions, revisions, and citations

Bounded workflows

Defined task, tools, state, evaluation, and review

Systems of record

ERP, QMS, PLM, CRM, and controlled repositories

AI management around every layer Owners · permissions · evaluation · support · cost · change · retirement

Boundary: Authentication enables a connection; it does not authorize every source, record, or action.

Magnetta's strongest initial fit is generally a manufacturer with roughly 20–500 employees—especially below 250—that lacks a dedicated AI function, has an internal IT lead or MSP, and wants a practical decision rather than an enterprise transformation program.

Connecticut is the primary direct-service market, with deeper attention to aerospace and other evidence-heavy work. The method can apply elsewhere when the workflow, owners, information boundary, and required specialist authority are a credible fit.