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ZD AI AGENT · Vehicle R&D and Testing Agents

Project Management Agent
Projects that report themselves

Project Management Agent

Using multi-step AI reasoning, the agent consolidates project data, monitors key milestones, assesses project health, warns of emerging risks and recommends priority tasks, cutting reporting and coordination effort.

Automatic
Weekly report generation
Real-time
Risk alerting
Intelligent
Priority recommendations
Health score
Quantitative project assessment
AI control centrePROJECT · INTELLIGENCE
LLM Industry knowledge base RAG retrieval Automated execution
WORKFLOW

Workflow

1
Data aggregation
2
Consolidated analysis
3
Health assessment
4
Risk alerting
5
Task recommendations
Automatic
Project weekly reports
Real-time
Early intervention on risks
Precise
Critical path identification
Direct
Less time spent reporting and coordinating
ADVANTAGES

Advantages

01Lower cost, higher output

Weekly reports are generated automatically, cross-team coordination effort is reduced, and reporting workload for engineering managers drops significantly.

02Risks surfaced early

Monitors blockers, resource conflicts and supplier delays in real time, raising warnings early so that teams can act.

03Better decisions

Analyses project health, identifies the critical path and recommends the tasks that matter most.

04Multi-step reasoning

Brings together weekly reports, risks, milestones, resources and blockers, and the AI proposes actions.

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

01Automated data reporting · NEV manufacturer

Financial monthly reports generated automatically: preparation time drops from 2 hours to 5 minutes, saving about 20 person-days a month, with over 99% data accuracy and reports delivered on time every time.

02Project management agent · Multi-step reasoning

Brings together weekly reports, risks, milestones, resources and blockers, generates the weekly report automatically, warns of risks in real time and recommends the five things to push next week.

Project Management Agent

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