Spec-based
vehicle evaluation
Make supplier evaluations reviewable against spec basis and evidence.
By cross-referencing OEM specifications, evaluation-item sheets, supplier submissions, past results, and simulation logs, AskDona organizes — for each vehicle — the items to run, the judgment conditions, the relevant spec passages, the evidence to check, and any missing information, raising the review quality of the results.
The results arrive. But tracing the basis behind them takes time.
In vehicle development, the items to be evaluated change with the model, installed features, and control conditions. Even when a supplier submits results, what the OEM wants to confirm isn't just the result.
Which spec passage was the basis? Why was an item judged out of scope? Which logs or evidence were checked? Where is additional confirmation needed? When these aren't tied to the result, review, inquiries, and rework take time.
Aren't you repeating these checks, model by model and item by item?
Batch Assessment
Take assessments into an era
you run together with an AI agent.
Evaluations once done one at a time, by hand —
now run all at once by an AI agent, grounded in the evidence.
Batch Assessment's AI agent shows not just the result, but the spec basis and evidence behind it, in the same format.
For each vehicle's evaluation items, Batch Assessment checks your registered specs, evaluation items, and evidence, and an AI agent performs a first-pass organization. Alongside the draft judgment, it presents — item by item — the reasoning, the spec passage it rests on, the evidence to check, and any missing information.
Rather than reading the supplier's results from scratch, the OEM reviews what the AI agent organizes — and focuses on validating out-of-scope calls, requesting missing evidence, and scrutinizing items to confirm.
For each item, a list of what reviewers need.
Frequently asked questions
Items managed in OEM specs and evaluation-item sheets that change by model, installed feature, and control condition. It checks each item against your registered specs and evidence, and an AI agent performs a first-pass organization.
No. The AI agent presents the draft judgment, reasoning, spec basis, candidate evidence, and missing information — but the final evaluation decision is made by the OEM after reviewing the results.
For each item, it presents the relevant OEM-spec passage, the judgment conditions, and the evidence to check (simulation logs, time-series data, signal values, and so on) — kept in a form you can trace back later.
Yes. Just register your existing materials — vehicle specs, functional requirements, evaluation-item sheets, judgment criteria, submission formats — and the AI agent references them across the board. No need to rebuild them.
Items out of scope for a given model or installation are flagged as out of scope, with the reason — so you keep both the applicability decision and its basis.