RESOURCE 03 · OPERATING MODEL
Artiplane Process Engine turns approximately thirty years of Fashion & Retail operating experience into a structured library of more than 6,000 process variants—then adapts that reference model to the company’s roles, systems, data and controls.
Business goal
PROCESS METAMODEL
The library count represents scoped variants across channel and market—not 6,000 disconnected diagrams.
Buying, product, collection, merchandising, planning, production, inventory, allocation, replenishment, pricing, supply chain, logistics, retail, commerce, wholesale, customer, finance, sustainability, marketing and corporate work.
A canonical process is specialized by brand, market, channel, season, collection, category and geography. Local differences remain explicit instead of being buried in notes.
Each activity decomposes into input, work, decision, human, system and output steps with declared inputs, outputs, owner, capability, workflow, system, data and policy.
Thresholds, segregation of duties, approvals, exception paths and evidence requirements travel with the process version and execution.
AUTOMATION SUITABILITY
Each step is scored across repeatability, data readiness, variability, reversibility, impact, regulatory exposure, explainability and accountable ownership.
Deterministic, frequent, well-instrumented and reversible work with stable interfaces and measurable acceptance criteria.
A capability assembles evidence, detects exceptions or drafts a proposal while the person retains judgement and decision authority.
A bounded objective requires several tools, systems and tasks, but policies, budgets, escalation and expected output can be declared.
Only for low-risk, observable and reversible actions inside explicit thresholds, with kill switch, rate limits, audit and sampled review.
Ambiguous, strategic, relational, safety-critical or high-impact judgement remains human-led; Artiplane can improve context without automating authority.
LIFECYCLE
Process definitions are versioned operating assets.
Import existing models and evidence, interview accountable roles, observe system traces and identify variants, workarounds and control gaps.
Compare current and target variants; estimate cycle time, handoffs, wait, failure modes, cost, policy load and automation confidence before release.
Assign owner, approvers, effective date, affected markets, compatibility and rollback. Material changes pass review before becoming available to Digital Workers.
Execution evidence reveals exceptions and drift. Recommendations change the model only through controlled versioning—not by silently rewriting the process.
Continue through the architecture
How Artiplane models fashion operating processes, typed activities, human decisions and automation suitability across people, systems and Digital Workers.