Definitions, capability levels, evaluation methods, governance controls, and implementation guidance for e-commerce digital employees — an open industry standard for hiring, managing, and trusting digital labor.
Standard ID YEP-DE-EC-2026-001 · v1.1 · June 2026 | 47 pages · CC BY 4.0
Organizational AI adoption reached 88% in 2025, yet AI agent deployment remains in the single digits across nearly all business functions (Stanford AI Index 2026).
Levels attach to specific actions, not whole systems. The same employee may run low-risk lookups at L4 while high-risk commitments stay at L1/L3. Higher is not better — authority is earned through evidence.
The digital employee retrieves, drafts, and recommends. The human executes every action and owns the outcome.
Receives store, order, customer-service, logistics, content, and ad events. It normalizes source identity before the digital employee acts.
What a digital employee is, and what is not. Terms, eight conformance criteria (DEF-001–008), and scope.
Job descriptions for digital labor: objectives, SOPs, KPI/SLA, authorization boundaries, and accountable owners.
A decoupled reference stack: intake, perception, knowledge, policy engine, decisioning, tools, audit, and human oversight.
Six core capabilities with metrics and handoff conditions: perception, cognition, decision-making, execution, learning, and business outcomes.
L1–L5 autonomy levels mapped to human-oversight modes, upgrade conditions, and prohibited actions.
The five-stage evidence chain, plus runtime metrics across efficiency, quality, stability, safety, experience, and business value.
Seven control domains, P0–P3 incident classification, kill switches, and consumer protection.
A 90-day blueprint, organizational roles, a maturity model, and continuous-improvement loops.
Each role ships with objectives, core responsibilities, key system interfaces, per-action autonomy levels, KPIs, handoff conditions, and required controls — the way you would write a job description for a human hire.
Findings are anchored to the Stanford AI Index 2026, McKinsey, Bain, and Visa, and aligned with NIST AI RMF and WEF agent-governance guidance. External figures are background evidence, never conformance thresholds.
Reference roles draw on production digital employees serving Shopify brands across apparel, jewelry, and consumer goods.
Published under CC BY 4.0: adopt, critique, extend, and translate freely with attribution.
From single components to production high-autonomy systems, so vendors can state exactly what they sell and merchants can state exactly what they buy.
47 pages of definitions, L1–L5 autonomy levels, evaluation methods, governance baselines, six reference roles, and a 90-day implementation blueprint — free under CC BY 4.0.
