ESG Architecture & Specifications

A background intelligence layer built on an immutable financial-grade ledger, utilizing the Neural Bus to auto-capture operational events.

Performance & Data Metrics

Event Interception Latency

< 5ms (via the Neural Bus)

Reporting Aggregation

Native database aggregation — annual reports generate in seconds, not minutes

Ledger Model

Append-only by convention — entries are written as emissions or offsets, with corrections posted as new entries rather than edits

Data Integrations

SCM, Fulfillment, Smart Spaces

1. Event-Driven Carbon Interceptors

Aeion ESG is fundamentally designed around background automation rather than manual data entry. It wires directly into the platform's real-time event bus. - Scope 2 (Energy): Intercepts live energy-usage readings from connected facilities. Extracts consumption and location to instantly calculate facility electricity impact. - Scope 3 (Logistics): Intercepts shipment-dispatch events. Weight, distance, and transit method (air/ocean/ground) resolve the precise ton-mile emissions. - Scope 3 (Procurement): Intercepts purchase-order receipt events and estimates embodied carbon from a spend-based emission factor (kg CO2e per dollar spent), posted straight to the ledger with no manual entry. Vendor sustainability-score compliance checks on PO drafting are logged today; blocking PO creation on a failing vendor score is on the roadmap.

2. The Carbon Ledger

The core of the module is a carbon ledger modeled on the same emission/offset transaction shape as the platform's financial billing ledgers. - Emission/Offset Records: Every event is written as an emission or an offset, each carrying the calculation details (factors and inputs used) needed for third-party audit review. The intended workflow is append-only — post a new entry to correct a prior one rather than editing it — though this isn't yet enforced at the database level the way Aeion Finance's ledger is. - High-Performance Aggregation: Reports don't pull thousands of individual records into application memory — the database handles the grouping and summation natively, enabling instantaneous generation of annual corporate reports even over years of ledger history. - Why a ledger and not a spreadsheet: Because each entry records the exact emission factor and the inputs that produced it, an auditor can re-derive any number in the annual report back to the operational event that generated it. A total isn't a cell a consultant typed — it's a query that sums signed entries, so the report is reproducible from the underlying transactions rather than trusted on faith.

3. The Emission Factor Library

The Carbon Calculation Engine never invents a number — it resolves each intercepted event against a library of emission factors and multiplies through by the event's own inputs. - Configurable factors: Factors are drawn from published references (EPA, DEFRA, IEA grid tables) and are configurable per tenant, so a facility on a cleaner regional grid isn't charged the national-average carbon intensity. A factor is a stored coefficient — e.g., kg CO₂e per kWh, per ton-mile, or per dollar of spend — applied at calculation time. - Spend-based and activity-based, hybrid by design: Procurement events without activity data fall back to a spend-based estimate (kg CO₂e per dollar spent by category). Where an event carries real activity data — specific fuel volumes, freight distance and mode, kWh drawn — that activity figure overrides the spend estimate for higher accuracy. The record stores which method was used, so audit review can see exactly how each line was derived. - Scope tagging at the source: Every calculated entry is tagged to the GHG Protocol scope (1 direct, 2 electricity, 3 supply chain) implied by the event that produced it, so scope subtotals in the report are a grouping of real entries, not a manual allocation after the fact.

Frequently Asked Questions

The intended workflow is append-only: corrections are posted as new offsetting entries rather than edits, and every entry retains the emission factor and inputs used to compute it so an auditor can re-derive the figure. Being candid — that convention isn't yet enforced at the database level the way Aeion Finance's ledger is. DB-level write protection is on the roadmap; today the audit value comes from the retained calculation detail on each record.

The design goal is zero manual entry for operational emissions. The Neural Bus intercepts events already flowing through the platform — energy readings from Smart Spaces, shipment dispatches from Fulfillment, purchase orders from SCM — and posts the calculated entry straight to the ledger. You configure emission factors and reporting periods; the platform captures the events.

From a configurable factor library seeded with published references (EPA, DEFRA, IEA grid tables). Procurement without activity data uses a spend-based factor (kg CO₂e per dollar per category); events carrying real activity data — fuel volume, freight distance and mode, kWh — override the spend estimate. Each entry records which method it used.

Reports never pull individual records into application memory. Grouping and summation run natively in the database, so an annual GHG Protocol report over multi-year ledger history generates in seconds rather than iterating thousands of rows in app code.

Aeion ESG integrates with Aeion Spatial's live GPS telemetry. Distance travelled plus fuel type (diesel, electric) resolves precise per-trip emissions in real time. Very small movements are filtered out so the ledger stays readable without losing accuracy on real trips.

Composes with the rest of the OS