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ZD AI AGENT · Vehicle R&D and Testing Agents

Requirements & Testing Agent
From requirements to test cases

Requirement to Test Agent

A large language model reads requirement documents in depth to extract test points, flag duplicates automatically and generate test cases in one click, connecting requirements to testing and addressing scattered requirements, disordered management and slow alignment.

70%+
Faster organising and alignment
~10 seconds
Requirement analysis to test cases
One-click
Batch test case generation
Automatic
Duplicate flagging
Requirements to test casesREQUIREMENT · TO · TEST
LLM Industry knowledge base RAG retrieval Automated execution
WORKFLOW

Workflow

1
Requirement input
2
AI parsing
3
Test point extraction
4
Case generation
5
Gap flagging
70%+
Time for organising, aligning and completing requirements
~10 seconds
Analysis time per document
Automatic
Duplicate and gap detection
Full process
Requirements-to-cases loop
ADVANTAGES

Advantages

01Higher efficiency

Time spent organising, aligning and completing requirements is cut by more than 70%, removing manual cross-checking.

02Accurate and intelligent

Detects ambiguous requirements and flags duplicates automatically, avoiding invalid tests and wasted effort.

03End-to-end loop

From requirement parsing to case generation in a single step, shortening preparation time at the start of a project.

04Proven in practice

Deployed at a joint-venture OEM: requirement analysis and detailed test cases in just over 10 seconds, with a mind map of the requirement flow generated at the same time.

SERVICES

Services

TECH STACK

Technology Foundation

01LLM engine

A large language model serves as the reasoning core, tuned on automotive R&D and testing corpora to support requirement parsing, root cause reasoning and code generation.

02Industry knowledge base + RAG

Brings together ZD simulation knowledge, historical fault cases and diagnostic experience with retrieval-augmented generation, so output matches real engineering contexts.

03On-premises deployment

Supports local and private-cloud deployment so R&D data never leaves the company, meeting OEM data security and compliance requirements.

04Closed-loop automated execution

Agent output connects directly to test execution, simulation scheduling and ticketing systems, so results flow automatically and are tracked to closure.

CASES

Deployments

01Joint-venture OEM in Shanghai · R&D and testing LLM

Requirement analysis and detailed test cases in just over 10 seconds, with an automatic requirement mind map for faster reading. The LLM and RAG knowledge base run on-premises so data stays secure.

02OEMs in multiple regions · Test case agent

Case generation accuracy of 95%-98% after tuning, in production use for up to 21 months and savings of up to 16 person-months per customer.

Requirements & Testing Agent

ZD Technology · AI agents for vehicle R&D and testing