Turn process knowledge
into industrial capability.
AWP brings Digital Employees into process-intensive production environments where work depends on plant data, engineering datasets, enterprise systems, technical documents, approved tools and accountable operational decisions.
Specialist roles.
Connected execution.
Domain role families below are illustrative configurations of the AWP Digital Employee model. Each employee has an identity, role, objectives, responsibilities, knowledge, skills, authorised tools, workflows, policies, human escalation and evaluation.
Process operations
Process monitoring, production context, operating reports and deviation review.
Illustrative role: Process Operations WorkerProduction performance
Throughput, yield, production reporting and operational analysis.
Illustrative role: Production Performance AdvisorQuality & laboratory
Quality measurements, laboratory results, specifications and traceability.
Illustrative role: Quality Intelligence WorkerMaintenance & reliability
Equipment condition, work orders, maintenance knowledge and reliability.
Illustrative role: Maintenance AdvisorEngineering & process change
Engineering datasets, technical documents, change context and review.
Illustrative role: Engineering Change AdvisorOperational excellence
Cross-functional context, evidence, findings and repeatable workflows.
Illustrative role: Operational Excellence TutorGround every employee
in the operating context.
Procedures, operating instructions and controlled documents.
Process and engineering measurements and derived datasets.
ERP, MES, CMMS, EAM, LIMS and related applications where available.
DCS, SCADA, historians and industrial telemetry through approved interfaces.
Structured data, technical files, manuals and reports.
Data lakes, warehouses and analytics platforms.
Approved domain services, MCP providers and third-party tools.
From request to
evidence-backed result.
The same AWP execution controls apply: understand the request, resolve context, plan, authorise, execute through approved tools, collect evidence, reason and present findings.
Governance is part
of the workforce.
Industry fit is configured
and validated in context.
The supplied AWP documents identify Manufacturing as an industry workforce pack, with production, process, quality, maintenance, plant reliability, engineering change, supply chain and operational excellence. The source does not specify a separate manufacturing data schema or validated connector catalogue; these must be defined during industry and customer implementation.
The page describes an AWP industry application model. It does not imply that all integrations, domain employees or workflows are preconfigured or production-deployed. Data access, tool behaviour, validation criteria, permissions and approval gates are established for the specific environment.
Start with the work.
Design the right employee.
Identify a priority workflow, define the employee's skills and boundaries, connect approved tools, and validate the evidence and outcomes.