SSIA-PCF: Sustainability Strategy and Insights Agent [Enhanced]
Pick a product. A deterministic engine computes its carbon footprint, and every row cites its emission factor. The strategy brief on top is LLM-written but never computes a number: every claim carries a citation, and a judge verdict is shown before you read it.
How this maps to a production AWS lakehouseThe documented worked example: 0.5 kg aluminium + 0.3 kg plastic + 0.2 kg electronics. Reproduces the design doc's 9.4 kg CO₂e exactly.
| Component | Method | Computation | kg CO₂e | Factor |
|---|---|---|---|---|
| Aluminium frame | process | 0.5 kg × 12 kg CO₂e / kg | 6.00 | |
| Plastic panel | process | 0.3 kg × 6 kg CO₂e / kg | 1.80 | |
| Electronics | eeio | 0.2 kg × 8 kg CO₂e / kg | 1.60 |
How this was computed
Hotspot components use process-based factors (emission factor × mass). Non-hotspot components use EEIO sector factors to cover the long tail. Transport, when enabled, is mass × distance × mode factor.
The ±13% band is the emissions-weighted data-quality mix (process ±10%, EEIO ±30%, transport ±15%). Every row above cites the factor it used. Click any chip to inspect it.
A note on allocation: this demo allocates by mass for simplicity. In production PCF systems the allocation methodology (mass, economic, or product-movement-based) is the decision that moves the number, and it is only as good as the underlying data quality.
Aluminium drives this footprint; the electronics tail is the data gap.
The footprint is 9.40 kg CO₂e (±13%) on a cradle-to-gate basis, quantified per the GHG Protocol Product Standard.
The aluminium frame is the largest single contributor; it carries the highest process factor in this bill of materials and the largest mass among hotspot components.
The electronics remainder is estimated with a sector-level EEIO factor, the least precise method in the mix; it widens the uncertainty band more per kilogram than any process-based row.
- ▸Engage the aluminium supplier for supplier-specific emissions data first: it is the dominant row and currently computed on an industry-average process factor.
- ▸Request component-level activity data for the electronics assembly to move it from EEIO to process-based accounting and narrow the ±13% band.
- ▸Evaluate lower-carbon aluminium routes (recycled content, low-carbon smelting); any change flows through the same audited factor table, keeping the number defensible.
Brief is being read in the state it was written for. 6 claims trace to provided evidence, citation coverage 100%, 2 assertions re-verified against the live computation.
The math is deterministic and auditable. The LLM narrates and strategizes over numbers that already exist; it never computes one.
A personal reconstruction of a concept I architected independently during my consulting tenure, built entirely with synthetic data and illustrative emission factors modeled on open sources (USEEIO, DEFRA-style). No client data, employer materials, or proprietary IP. Strategy brief prose was generated with Claude against the computed evidence and cached. Everything in the Trust panel runs live in your browser on every render: citation coverage, assertion re-verification, and the implicit-conflict check that compares the state the brief was written for against the state you are looking at.