Custom AI4Fusa Agents

Define the work and deliverables first

Battermachine starts with the documents and procedures your automotive development team uses. We identify recurring analysis tables, requirements or verification documents to support, then confirm the required inputs and output formats.

AI4Fusa currently supports HARA, FSR, TSR, FMEA, DFA, FMEDA and test case drafting. We use this existing scope as a starting point to agree on the agents, deliverable formats and review steps needed for your project.

Use your templates and reference knowledge

We review the templates, terminology, reference material and applicable criteria you provide. We configure how agreed material is retrieved and used in drafting, including the fields needed to review its sources and conditions of use.

We distinguish what AI can draft from what engineers must judge. Information that needs project evidence, such as safety classification rationale, actual failure rates, diagnostic evidence and test results, is handled using customer sources and engineering review.

• Adapt deliverable templates and customer terminology
• Configure reference retrieval and draft generation
• Define review items for inputs, assumptions and open issues

Review representative examples before agreeing on implementation

We compare source inputs with AI drafts using examples that represent the work. Items that do not meet your review criteria are revised, and conditions requiring confirmation or further decisions are recorded.

Deployment, intended users, data handling and support scope are agreed for each project. AI drafts require final engineering judgment and approval. The implementation scope and deliverables are confirmed in an individual proposal.

Frequently asked questions