Turn commodity trading complexity into operating advantage.

We design current and target operating models for trading organizations, implement them through systems and process change, and instrument the operation with intelligence, integrations, and automation, so profit and risk performance are visible and controllable.

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Trading Operations Reality

Desk speed. Risk certainty. Close that holds up.

Front, middle, and back office win when the same truth drives every decision.

Front Office
Faster pricing + attribution clarity—without breaking limits.
Middle Office
Independent control with clean MTM, VaR, and explainability.
Back Office
Deterministic settlement → reconciliation → audit-ready close.
Execs
One operating layer that compresses cycles and reduces surprises.
Data Layer

The data layer is how trading organizations turn volatility into control, speed, and defensible results.

Most firms have “data.” What they don’t have is an integrated, governed foundation that reconciles trades → positions → exposure → settlement → financial outcomes. The result is time lost, explainability gaps, and risk hidden inside tooling friction.

Why

Commodity trading is a chain reaction. If one link breaks—curve governance, deal capture, allocations, settlement, invoicing—leaders feel it later as P&L variance, limit anxiety, or a messy close.

Reduce “multiple P&L truths”
Stop spreadsheet dependency
Make results explainable
How

We build a governed data foundation that sits alongside your ETRM/CTRM and finance stack— using contracts, lineage, and quality gates—so analytics and automation are safe.

Canonical models (trade, position, curve, exposure, settlement)
Event-driven ingest + curated marts
Controls: validation, snapshots, access, audit trails
Goal

Create a single, governed path from operational reality to executive truth—so you can trust exposure, trust P&L, and trust the close. Then use it as the foundation for automation and AI that won’t break controls.

Risk: consistent exposures + scenario snapshots
Finance: faster reconciliation + clean close
Trading: faster signals + attribution clarity
Value delivered
Fewer surprises. Faster decisions. Defensible numbers.
Trading
Intraday P&L + drivers
Risk
Limit confidence + audit trails
Accounting
Cleaner close + reconciliation
Modern Architecture

From Data Integration to Control Plane

Integration moves data. A control plane governs behavior. In commodity trading, the difference is whether volatility becomes a report—or a preventable outcome.

01
Data Integration

ETL, APIs, and feeds connect systems and power reporting. Necessary plumbing—useful for hindsight, limited under decision pressure.

PipelinesInterfacesReporting
02
Governed Data Layer

Canonical models, lineage, time semantics, and reconciliation create a single, explainable path from trade to P&L—turning integration into truth.

Canonical modelsLineageSnapshots
03
Control Plane

A governing operating layer above systems and data—defining rules, authority, validation, escalation, and audit—so decisions and automation execute safely at speed.

Rules-as-softwareDecision rightsAuditability
Why it matters now

Volatility is persistent, decision windows are compressing, and AI is moving into production—while audit, credit, and regulatory scrutiny increases. In this environment, speed without governance becomes risk.

Volatility + compressed cycles
Higher scrutiny (audit / credit / compliance)
AI in production demands guardrails
What it unlocks

A control plane treats rules and decision rights as first-class architecture. It governs self-service analytics, automation, and agentic AI—so execution is fast, explainable, and auditable.

Rules-as-software (limits, sanctions, tariffs)
Authority + escalation (human-in-the-loop)
Lineage, evaluation, and audit trails by default
Raise the conversation above integration.
Arcelian designs governed data layers and extends them into production-grade control planes— without risky rip-and-replace.
Arcelian Capability GraphStable domains • Living patterns

A control-stack built for modern commodity markets.

We don’t sell a static services list. We operate five stable control domains—then continuously codify new market signals into patterns, playbooks, and roadmaps.

5domains shown
Pattern01

Decision & Control Plane

Governed decisions • validated execution • audit-ready traceability

API-first control planeCloud-native control planeRegTech control plane designRisk & controls automationAgentOps governance
Built as governed artifacts: models, policies, tests, and runbooks.
Pattern02

Integration & Interoperability Plane

Events + APIs • canonical objects • cross-platform orchestration

API-first orchestrationCloud-native integration patternsDigital interoperability blueprintDigital interoperability patternsIntegration architecture patternsIntegration control planeIntegration control plane architectureintegration roadmap
Built as governed artifacts: models, policies, tests, and runbooks.
Roadmap03

ETRM Architecture & Modernization

Modernize without ripping the core • keep controls intact

ETRM architectureETRM modernization roadmapWallet-to-CTRM integration roadmap
Built as governed artifacts: models, policies, tests, and runbooks.
Roadmap04

RegTech & Financial Integrity

Compliance velocity • defensible controls • clean close

RegTech integration roadmapStablecoin compliance playbook
Built as governed artifacts: models, policies, tests, and runbooks.
Playbook05

AI & Automation Governance

Safe tool-use • SoD alignment • monitoring & drift controls

AI integration playbookAgentOps governance
Built as governed artifacts: models, policies, tests, and runbooks.
Trading Decision Control Plane™Operating Layer • Governed Execution

From data integration to a decision control plane.

Most firms move data for reporting. Arcelian builds the Trading Decision Control Plane™ that governs exposure, P&L, limits, and audit trails — and becomes the foundation for safe automation and agentic AI.

Desk-speed clarity
Explain P&L + drivers without spreadsheet archaeology.
Risk without drag
Limits, snapshots, and lineage are defaults — not add-ons.
Close that holds up
Reconciliation reduces breaks; audit trails are always available.
From Data Integration to Control Plane

Integration moves data. Control governs outcomes.

Traders, risk, and accounting all feel the same pain: multiple versions of truth, slow explains, and late surprises. A control plane is the operating layer that defines how decisions are validated, attributed, escalated, executed, and audited — across systems and teams.

Unified Exposure + P&L Truth
Canonical objects: trade → position → exposure → settlement
Deterministic attribution and explain
Snapshots for VaR/stress and close
Limits + Authority by Design
Hard/soft limits with escalation
Human-in-the-loop where it matters
Audit trails on every decision hop
Governed Automation + Agentic AI
Tool-use policies and SoD alignment
Continuous evaluation and drift monitoring
Cost-to-decision visibility (token + compute)
Start with a Control Plane Blueprint.
Map decision flows, define governance gates, and land an MVP without rip-and-replace.

Ready to make the target state real?

If volatility, control gaps, or platform fragmentation is creating hidden P&L variance, we’ll help you see exactly where it’s happening—and what to do next.

Contact Arcelian