Fifteen modules.
One governed lifecycle.
The AWP functional modules translate the Digital Employee journey into defined capabilities, inputs and outcomes. Together they establish an operational path from creation to accountable investigation.
What each module
is responsible for.
The module descriptions below follow the supplied AWP functional module specification. The sequence reflects the 15-step user journey.
Digital Employee Factory
Create the Digital Employee using its name, archetype, domain, role and initial purpose. The employee is created and made available to downstream modules.
Create EmployeeEmployee Blueprint
Define role, objectives, responsibilities, skills, operating boundaries and escalation rules. Establish what the Digital Employee is expected to do.
DefineMCP Provider Selection
Select the capability and data provider based on available MCP providers, purpose and data boundary.
Select MCPKnowledge Binding
Bind knowledge sources, knowledge scope and applicable domain or process information to the selected Digital Employee.
KnowledgeTarget Process Context
Resolve a process variable or target, tag, business description and process context to a known industrial variable and its meaning.
TargetMCP Provider Health
Verify that the selected MCP provider is reachable and ready for use.
HealthMCP Tool Discovery
Discover available provider capabilities and tools, including descriptions and operating modes.
DiscoverMCP Tool Test
Execute a real MCP invocation with the selected tool, required arguments and target variable; verify the response.
TestEmployee Capabilities
Establish the authorised tool and capability set using employee identity, MCP tools, permissions and policies.
AuthoriseDigital Employee Workspace
Capture a natural-language business or engineering request against the selected employee, provider, knowledge and target.
AskLive Investigation
Coordinate understanding, planning, AWP authorisation, MCP execution, evidence generation and answer production.
ExecuteEvidence Explorer
Display evidence objects, MCP calls, sources, results, confidence and provenance for an investigation/run ID.
EvidenceInvestigation Trace
Show the end-to-end decision trajectory: objective, plan, authorisation, tools, evidence and conclusion.
TraceEvaluation
Measure task completion, tool selection, policy compliance, trajectory completeness, evidence grounding and overall score.
EvaluateAudit Governance
Maintain a durable audit trail showing who, what, when, tool, policy, evidence and run outcome.
AuditHow a request becomes
an evidence-backed answer.
Natural-language request and selected Digital Employee.
Parse request, resolve target tag/process description and understand context.
Understand intent, select tools and create an investigation plan.
Check employee permissions and validate the plan against policy.
Call authorised tools and capture tool status and metadata.
Store results as evidence artefacts, track provenance and summarise findings.
Analyse evidence, identify leads and state limitations.
Present findings, investigation leads, unknowns and recommended next steps.