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QpiAI Agent Hive

Solution blueprint / reference workflow

Engineering decisions, grounded in evidence.

Connect technical evidence, coordinate specialist agents and preserve engineer validation across the full decision path.

See the architecture
Reference workflowIssue or non-conformance
  1. GatherDesign, simulation and quality records
  2. InvestigateAgents check the relevant evidence
  3. PrepareFindings and sources stay together
  4. DecideEngineer approves, revises or escalates
  5. UpdateApproved action goes back to the right system
Solution blueprint / reference workflow. This page shows a proposed architecture. It is not a customer case study, completed deployment or production result, and it makes no results claim.

Build one engineering case around the decision.

Bring source evidence together, preserve its authority and give every agent and reviewer the same technical context.

Sources

CAD and PLMGeometry, configuration, revision and product structure
CAE and testsModels, assumptions, results and observations
Requirements and operationsSpecifications, QMS, ERP, issues and prior reports

Assemble the case

Resolve the configurationIdentify the affected part, assembly and released revision
Retrieve relevant evidenceConnect the right studies, tests, issues and requirements
Find prior decisionsSurface similar investigations, changes and dispositions

Enterprise Context

Shared engineering contextObjective, configuration, evidence, constraints, relationships, decisions and permissions stay connected.

Agent work

Investigation agentsCoordinate retrieval, comparison and hypothesis checks
Simulation agentsReview technical evidence around the specialist solver
Quality agentsConnect non-conformance context and prior dispositions

Decision

Engineer validatesInspect sources, reasoning, assumptions and recommendation
Approve, revise or escalateThe responsible engineer remains the decision owner
Governed writebackApproved action returns to PLM, QMS, ERP or issue workflow

Use the same operating model around two demanding workflows.

FE review and non-conformance disposition show how engineering evidence and enterprise workflow can meet without blurring authority.

Reference workflow

FE analysis and design iteration

Agent Hive organizes the review around the CAE study. The solver remains the validation authority and the engineer decides what follows.

  1. Study completesModels, assumptions and result fields are available
  2. Evidence is reviewedRegions requiring attention are connected to context
  3. Alternatives are consideredConstraints and design implications remain visible
  4. Specialist validation runsFull solver evidence is used where required
  5. Engineer decidesRecommendation, report and next action are approved
Reference workflow

Non-conformance investigation and disposition

Agent Hive links quality intake with the technical evidence and previous decisions required for an engineering disposition.

  1. Non-conformance is raisedIssue details and attachments enter the workflow
  2. Context is retrievedPart, supplier, quality and configuration evidence
  3. Related evidence is comparedPrior dispositions, simulation, tests and reports
  4. Disposition is preparedRecommendation, sources and reasoning stay attached
  5. Engineer approves the actionGoverned update returns to the source workflow

Define what good looks like before release.

Evaluation criteria should reflect engineering evidence, known cases, reviewer needs and the boundaries of each specialist tool.

Evidence coverage

Is the right technical record present?

Check configuration, revision, requirements, analysis, tests and relevant history.

Source traceability

Can a reviewer open every source?

Recommendations remain connected to the exact evidence used to produce them.

Known-case evaluation

Does the workflow behave on agreed examples?

Use reviewed historical cases and defined acceptance criteria before release.

Human approval

Is the decision boundary explicit?

Agents recommend. Authorized engineers approve, revise or escalate controlled actions.

Keep engineering context inside the environment you control.

Private cloud, VPC and on-premises patterns preserve the same context, permissions, approval gates and audit record.

Private engineering environment

Run Agent Hive inside your private cloud or VPC.

Keep engineering data, identity and audit records inside your environment, with access only to approved model endpoints.

Customer VPC boundary

Engineering teamsSSO and permissions
Agent HiveContext, agents and audit
Approved modelsPolicy-controlled access

Talk through the blueprint

Map it to one engineering decision your team owns.

Bring the trigger, source systems, specialist tools, reviewers and approval boundary. We will map the reference workflow around them.

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