YUANSUAN | ENGINEERING AI SOLUTIONS

Start with the Right Engineering ProblemThen Prove the Value

Turn one costly, repeatable, measurable problem into a bounded task that can run, produce evidence, and pass reviewProve value in one pilot, then scale only when the evidence supports it

Assess Your First Pilot See the Method

What Makes a Pilot Worth Running

Clear Value

High cost · High frequency · Measurable

Bounded Task

Object · Inputs · Constraints · Method

Clear Acceptance

Results · Evidence · Business metrics

01 | FOUR VALUE PROPOSITIONS

Four Ways Engineering AI Creates Value in Real Workflows

Apply Engineering AI where design, validation, operations, and decisions matter most

ENGINEERING AI VALUE SYSTEM

DESIGN | VALIDATE | OPERATE | DECIDE

VERIFY WITH CONFIDENCE

Verify with Confidence

Validate faster. Decide with confidence.

Unify models, analysis, tests, and runtime evidence in one traceable validation loop

LIFECYCLER&D DesignEngineering Release

DESIGN BEFORE FREEZE

Design Before Freeze

Explore earlier. Learn faster at lower cost.

Bring computation into concept development and compare more options before design freeze

LIFECYCLER&D Design

PREDICT BEFORE FAILURE

Predict Before Failure

Detect earlier. Act with more lead time.

Combine operating data and engineering models to forecast trends, identify risk, and intervene earlier

LIFECYCLEOperations

DECIDE WITH SIMULATION

Decide with Simulation

Simulate more options. Choose the better action.

Simulate and compare candidate actions across complex constraints, multiple objectives, and uncertainty

LIFECYCLEOperationsDecision Support

02 | STANDARDIZE THE PROBLEM

Turn an Engineering Need into a Clear, Computable Problem

Define one problem through scope, diagnosis, decision, and assurance

Four Layers, Eight Factors

A shared engineering problem language

Standard Problem Definition

Ready for capability composition

Four Layers, Eight Factors

A shared engineering problem language

Scope

Object & Boundary

Task & Conditions

Diagnosis

Problem & Baseline

Mechanism & Causes

Decision

Goals & Metrics

Decisions & Interventions

Assurance

Constraints & Risks

Evidence & Verification

Structure

ENGINEERING PROBLEM STANDARDIZATION

Engineering Need → Standard Problem → Capability Requirements

Engineering Problem Standardization Engine

Identify

Engineering Need

Object / Issue / Scenario

Standardize

Standard Problem

Scope / Diagnosis / Decision / Assurance

Specify

Capability Requirements

Methods / Resources / Workflow

Standardize

Standard Problem Definition

Ready for capability composition

Scope Definition

Boundary map / condition matrix

Diagnostic Definition

Baseline / mechanism hypotheses

Decision Definition

Targets / controllable variables

Assurance Definition

Risks / verification plan

Capability Requirements

Methods / resources / workflow

Design Principles

Computable

Quantified baselines / goals / constraints

Solvable

Clear decision variables / intervention space

Verifiable

Evidence / method / acceptance aligned

03 | COMPOSE CAPABILITIES BY VALUE

Compose Six Platform Capabilities Around the Job

Use the same capabilities in different combinations for different outcomes

TASK-SPECIFIC CAPABILITY COMPOSITION

3/6CORE 1SUPPORT 2

SUPPORT01

Workflow Coordination

Connect tasks, data, and workflows end to end

CORE02

Trusted Solving & Validation

Close the loop from solving through evidence

SUPPORT03

Reusable Method Packaging

Turn proven methods into callable capabilities

NOT USED04

Intelligent Solution Generation

Generate, explore, and optimize engineering designs

NOT USED05

Engineering State Prediction

Forecast system states and emerging risk

NOT USED06

Autonomous Engineering Decisions

Plan and act within governed boundaries

Verify with Confidence=Workflow×Validated Analysis×Method Reuse

04 | TASK CONTRACT

Define the Outcome in an Acceptance-Ready Task Contract

Set the boundary, execution method, acceptance criteria, and evidence in one contract

Task Definition

Task Scope

Task Execution

Task Acceptance

02 | DEFINE ENGINEERING TASK

Verify with Confidence

VERIFY WITH CONFIDENCE

Eight Engineering Problem Factors

Problem Facts

Object

Analysis task / model / case

Mechanism

Physics model / solver flow

Condition

Loads / boundary / parameters

Data

Material data / test results / versions

Task Definition

Goal

Reach a trusted result faster

Constraint

Error / resources / tools

Evidence

Correlation / runtime records / review report

Process

Check / solve / correlate / accept

Value Path

Baseline

Manual handoffs make validation slow and hard to reproduce

Target

Unify analysis, review, and evidence

Acceptance Criteria

Cycle / manual effort / reproducibility

Where to Start

Start with a frequent wheel 13° impact task that already has test data

Verify with Confidence | CURRENT EXAMPLE CHAIN

Task ContractDEFINED

EVT-WHEEL-13-01

Task PackageTO PACKAGE

PKG-WHEEL-13-01

EvidenceTO GENERATE

EVD-WHEEL-13-01

Trustworthy Engineering AI Delivery

Trusted Results

Traceable Process

Bounded Execution

05.1 | PACKAGE AND EXECUTE

Package the Contract into a Governed, Runnable Task

Bundle runtime assets and controls, then route the package to the right product

Contract Input

Execution Payload

Governance Control

Product Routing

WORKING EXAMPLE | WHEEL 13° IMPACT

Task ContractDEFINED

EVT-WHEEL-13-01

Task PackagePACKAGED

PKG-WHEEL-13-01

EvidenceTO GENERATE

EVD-WHEEL-13-01

02 | ENGINEERING TASK PACKAGE

Wheel 13° Impact Engineering Task Package

Execution assets and governance rules in one package

PKG-WHEEL-13-01

Execution Payload

Assets required to run the task

Data

Geometry / material / test baseline

Models

Wheel / impact hammer / contact

Methods

Mesh check / impact solve / correlation

Execution Unit

13° Impact Validation App

Runtime

Solver / version / compute

Execution Controls

Keep execution bounded, traceable, and review-ready

Execution Flow

Check → solve → extract → correlate

Approval Gates

Engineer review / task release

Acceptance Rules

Deformation / failure / error limits

Evidence Template

Logs / contours / correlation report

Execution Assets

5/5 READY

Governance Rules

4/4 COMPLETE

Product Route

LUBAN

Task Status

READY TO RUN

ENGINEERING TASK PACKAGE

=Runnable Payload×Governed Flow×Acceptable Results×Traceable Evidence

NEXT | RUN THE PILOT AND REVIEW THE EVIDENCE

05.2 | ACCEPT THE PILOT

Use One Task to Prove the Result, Evidence, and Business Value

If it passes, capture the package and scale it into a task class and workflow

BoundedEvidence-backedAcceptable

Four-Week Pilot | Wheel 13° Impact ValidationILLUSTRATIVE ENGINEERING OBJECT · NOT A CUSTOMER RESULT

WORKING EXAMPLE | WHEEL 13° IMPACT

Task ContractDEFINED

EVT-WHEEL-13-01

Task PackagePACKAGED

PKG-WHEEL-13-01

EvidenceTO ACCEPT

EVD-WHEEL-13-01

Defined Pilot Task

Task Objective

Run one wheel 13° impact simulation and produce test-correlation evidence

01Pilot Object

One wheel design and its 13° impact test setup

02Required Inputs

Geometry or mesh / material / impact hammer / speed and angle / test results

03Execution

Model check / impact solve / response extraction / test correlation

04Acceptance

Deformation / failure location / key response / test correlation meet contract limits

Contract IDEVT-WHEEL-13-01VersionV1.0

LUBAN Runs the Task

Run the task package and capture a complete audit trail.

W1Lock Inputs

Lock the wheel model, 13° impact setup, and acceptance limits

W2Compose the Runtime

Use validated analysis with the required workflow, methods, and execution assets

W3Correlate Results

Solve impact, extract response, and correlate with test

W4Complete Acceptance Review

Review engineering results, evidence, and task value

Product Execution Roles

LUBAN

Primary · Run the task and retain the audit trail

GEWU

Expert · Simulation setup and engineering review

MOZI

Orchestration · Multi-step coordination and human gates

Evidence & Acceptance Review

ILLUSTRATIVE ACCEPTANCE REVIEW

Illustrative data shows the acceptance structure, not a customer result

SAMPLE | RESULT

MetricContract LimitSample Result

ENGDeformation

Consistent with test trend

CORR 0.94

ENGFailure Location

Inside agreed region

MATCH

ENGKey Response

Within contract error limit

Δ 4.8%

VALUECycle Time

Lower than manual baseline

6.2→2.1h

VALUEManual Effort

Lower than manual workflow

5.5→1.4h

VALUEEvidence Complete

All required evidence archived

3/3

SAMPLE ENGINEERING EVIDENCE

SAMPLE · SOLVER R24.7 · 3/3

Impact Stress Contour

SYSTEM

S-N Curve

SYSTEM

Assessment Result

SYSTEM

Reserved Evidence IDEVD-WHEEL-13-01VersionDRAFT V0.1

Acceptance Decision

Evidence decides whether to scale

Submit the Evidence

Run record / correlation / engineering review

Complete Acceptance Review

Compare results with the contract criteria

GO | PassREVISE | Revise

GO | MOVE TO REUSE

Capture the Task Package

Templates / parameters / rules / workflow

Scale What Passed

Reuse across wheel variants, vehicle programs, and validation teams

REVISE | RETURN FOR REVISION

Revise Contract or Package

Update scope, inputs, methods, or acceptance rules, then rerun

RETURN TO: CONTRACT / PACKAGE

06 | INDUSTRY WORKFLOWS

One Engineering AI Method, Four Industry Workflows

Keep domain logic intact while standardizing the problem, capability mix, and task package

CROSS-INDUSTRY TRANSFER

Standard Problem

Capability Mix

Task Package

Industry Workflow

Keep the domain knowledge. Reuse the engineering method.

Automotive & Transportation

From one-off simulation to a connected R&D loop

KEY ENGINEERING WORKFLOW

01Design

02Simulation

03Test correlation

04Release

CAPABILITY MIX

Design Before FreezeVerify with Confidence

PILOT ENTRY

Wheel 13° impact

ACCEPTANCE OUTCOME

Impact deformation and failure location correlate with test trends

TYPICAL ENGINEERING TASKS

02Structural lightweighting

03Bending/radial fatigue validation

04Pre-tooling risk review

Advanced Manufacturing

From experience-driven processes to computation-led manufacturing

KEY ENGINEERING WORKFLOW

01Process definition

02Window exploration

03Defect prediction

04Reuse

CAPABILITY MIX

Design Before FreezeVerify with ConfidencePredict Before Failure

PILOT ENTRY

Process-window optimization

ACCEPTANCE OUTCOME

Process windows and defect boundaries are reproducible and reusable

TYPICAL ENGINEERING TASKS

02Defect prediction

03Quality analysis

04Standardized method reuse

Energy & Power

From condition monitoring to predictive maintenance and decision support

KEY ENGINEERING WORKFLOW

01Validation

02State prediction

03Risk simulation

04Operating decision

CAPABILITY MIX

Verify with ConfidencePredict Before FailureDecide with Simulation

PILOT ENTRY

Wind-turbine prediction

ACCEPTANCE OUTCOME

Detect risk earlier and make warnings and root-cause candidates reviewable

TYPICAL ENGINEERING TASKS

02Equipment fault diagnosis

03Nuclear engineering validation

04Operating-risk simulation

Water & Emergency Management

From dashboards to forecasting, warning, and scenario planning

KEY ENGINEERING WORKFLOW

01Sensing

02Prediction

03Warning

04Coordinated dispatch

CAPABILITY MIX

Predict Before FailureDecide with Simulation

PILOT ENTRY

Basin flood prediction

ACCEPTANCE OUTCOME

Flood peaks, inundation extent, and dispatch outcomes are verifiable

TYPICAL ENGINEERING TASKS

02Flash-flood warning

03Reservoir coordination

04Urban flooding simulation

HOW THE METHOD TRANSFERS

Standard Problem×

Value Path×

Capability Mix×

Task Package

Explore Engineering Practice

07 | SCALE WHAT WORKS

Scale One Validated Task into a Reusable Engineering Intelligence System

Replicate task packages, connect workflows, and build evidence, methods, and capability with every run

Validated Task

Reusable Task Class

Connected Workflow

Capability Flywheel

ENGINEERING INTELLIGENCE SCALE PATH

13° Impact Validation

Wheel Validation Task Class

Wheel R&D Workflow

Controlled Autonomous R&D

Validated Task

Pass Acceptance Review

Review engineering results, evidence, and business impact together

Stage Result

Turn one 13° impact task into a validated, repeatable loop

Scale Gate

Results, evidence, and business value meet the task-contract thresholds

Reusable Asset

Task contract, task package, and evidence

Prove the ValueRunnableVerifiableTraceable

Reusable Task Class

Build a Reusable Task Class

Parameterize assets and inputs while reusing methods and acceptance rules

Stage Result

From one impact task to a wheel validation task class

Scale Gate

The task template is configurable and reproduces stable results across assets

Reusable Asset

Task templates, method assets, and acceptance rules

Replicate TasksStandardizedConfigurableReplicable

Connected Workflow

Connect the Engineering Workflow

Connect upstream and downstream tasks through shared context and evidence

Stage Result

From task-class reuse to a wheel R&D validation workflow

Scale Gate

Tasks, data, and accountable roles connect continuously across the workflow

Reusable Asset

Shared context, task chain, and evidence chain

Connect TasksCross-disciplineCross-teamCross-system

Capability Flywheel

Operate the Capability Flywheel

Reuse, learn, and improve within explicit governance boundaries

Stage Result

From one workflow to controlled autonomous R&D

Scale Gate

Governance boundaries, feedback loops, and human checkpoints are complete

Reusable Asset

Shared knowledge, engineering methods, and decision logic

Build Compounding CapabilityHuman-AIControlledEvolving

Validated Task

Prove the Value

Pass Acceptance Review

Review engineering results, evidence, and business impact together

Reusable Task Class

Replicate Tasks

Build a Reusable Task Class

Parameterize assets and inputs while reusing methods and acceptance rules

Connected Workflow

Connect Tasks

Connect the Engineering Workflow

Connect upstream and downstream tasks through shared context and evidence

Capability Flywheel

Build Compounding Capability

Operate the Capability Flywheel

Reuse, learn, and improve within explicit governance boundaries

Scale Mechanism

Task Contract

Goal / boundary / criteria

AI Execution

Capability / tools / process

Engineering Evidence

Results / records / review

Validated Task Instance

Task contract / method / acceptance evidence

Task Templating

Input template / method flow / acceptance rules

Reusable Task Package

Object A · Object B · Project C

Multiple Task Packages

Trusted tasks / method templates / acceptance rules

Shared Context

Object · Data · Model · Evidence

Connected Task Chain

Orchestration / result handoff / cross-discipline work

Engineering Workflow Network

Task chains / engineering context / evidence chains

Capability Flywheel

Execute → Capture evidence → Update methods → Strengthen capability

Every Next Task Gets Better

Improve the quality and speed of each task that follows

Scale Gate & Asset

Stage Result

Turn one 13° impact task into a validated, repeatable loop

Scale Gate

Results, evidence, and business value meet the task-contract thresholds

Reusable Asset

Task contract, task package, and evidence

Runnable·Verifiable·Traceable

Stage Result

From one impact task to a wheel validation task class

Scale Gate

The task template is configurable and reproduces stable results across assets

Reusable Asset

Task templates, method assets, and acceptance rules

Standardized·Configurable·Replicable

Stage Result

From task-class reuse to a wheel R&D validation workflow

Scale Gate

Tasks, data, and accountable roles connect continuously across the workflow

Reusable Asset

Shared context, task chain, and evidence chain

Cross-discipline·Cross-team·Cross-system

Stage Result

From one workflow to controlled autonomous R&D

Scale Gate

Governance boundaries, feedback loops, and human checkpoints are complete

Reusable Asset

Shared knowledge, engineering methods, and decision logic

Human-AI·Controlled·Evolving

Every task that passes acceptance review becomes the starting point for the next cycle of reuse and improvement

AcceptCaptureReuseImprove

NEXT | START WITH ONE PILOT

Start with One Bounded, Measurable Engineering Task

Define it, run it, review the evidence, then decide whether it is ready to scale

PILOT PATH

Select the Task

Choose a valuable, bounded problem

Define the Contract

Set goals, inputs, constraints, and acceptance

Package and Run

Execute with the right assets and controls

Review the Evidence

Check results, process, and business impact

Decide What Scales

Scale the task or revise the package

READY TO START

Clear valueBounded taskClear acceptance

STARTING INPUTS

Real problemExisting data and workflowAcceptance criteria

FIRST OUTPUTS

Task contractEngineering task packageEngineering evidence

Start Your First Pilot Explore Engineering Practice

Bring one real engineering problem. We will assess whether it is pilot-ready.