Digital Workforce / Product Proof
NexusClaw makes AI employees real execution subjects inside enterprise systems: identity determines authority, work definitions determine capability, and approval plus audit determine how critical actions are controlled and traced.
The interfaces below are current product surfaces, not conceptual renders. Follow one evidence path across identity, configuration, execution, human control, and audit.
01 / Identity & Authority
Identity is an authorization rule, not a profile label. NexusClaw supports exactly two identities and rejects ambiguous half-configured states.
Independent employee
Uses a dedicated service account and role, acting as its own authorization subject with explicit job, organization, data access, and audit identity.
Assistant
Has no independent service account and inherits the authenticated task initiator’s authority. If the user cannot access an object, the assistant cannot cross that boundary.
02 / Employee Builder
The builder keeps responsibilities and operating boundaries together: topics define the job, actions define approved tools, knowledge and SOPs provide evidence, while guardrails, tests, access, and observability determine production readiness.
Dedicated service account or task-initiator authority
Job responsibilities, scope, and output goals
Tools, skills, and sensitive-operation levels
Sources of truth and standard operating procedures
Boundary checks, regression, and readiness
Data scope, outcomes, and failure traces
03 / Governed Execution
The execution engine does not stop at generating an answer. It builds permission-aware context, plans actions, calls tools, passes policy checks, and writes structured outcomes plus evidence back to the business object.
From a user, event, business record, or external channel.
Only information allowed by workspace, identity, role, and object access.
The goal is decomposed and approved tools run step by step.
Sensitive actions, exceptions, and high-risk steps pause for control.
Business results, tool calls, owners, and audit records are written together.
04 / Human Control & Audit
Before a sensitive action runs, the approval center gives an accountable person the risk, object, current step, and recent action. After execution or blocking, audit preserves object, risk, operation, and learning-use evidence.
Approvers can inspect execution context and choose approve or reject. Sensitive work never disappears inside invisible automation.
Events can be filtered by execution, trace, object, risk, and action, including whether evidence entered the governed learning loop.
Customer Evaluation Checklist
Switch identity types and verify the source of authority and configurable controls change together.
Task the employee with an out-of-scope object and verify retrieval plus tools deny by default.
Trigger a high-risk write and verify an approver can inspect context and take over.
Start from a result and trace execution, tool calls, approval, and audit records.
This page shows current identity, employee configuration, execution-control, and audit surfaces. Digital employees cannot expand their own authority. Behavior improvements require testing, approval, and a release gate; this is not a claim of unsupervised self-evolution.
We will use your roles, object permissions, approval points, and outcome requirements to walk one digital employee from configuration through execution, handoff, and audit.
