Automations
This pillar addresses emissions workflows that trace carbon impact across supplier networks, simulate decarbonization scenarios, and support more practical net-zero planning. Pages should explain how a custom workflow architecture helps sustainability teams collect supplier data, model tradeoffs, and operationalize Scope 3 programs without relying on brittle spreadsheet processes.
This foundational workflow automates the end-to-end process of collecting supplier data, applying emissions factors, modeling decarbonization scenarios, and generating audit-ready reports. It replaces manual spreadsheet processes with a multi-agent architecture that integrates with ERP and procurement systems, delivering time savings in reporting cycles and enabling data-driven net-zero planning.
This workflow automates the ingestion, parsing, and validation of supplier-submitted ESG questionnaires and certificates using specialized document agents. It reduces manual data entry by over 80%, standardizes responses for calculation, and flags inconsistencies for review, accelerating the supplier onboarding and annual refresh process for sustainability teams.
This workflow uses LLM and OCR agents to extract product, quantity, supplier, and location data from procurement documents to feed spend-based emissions calculations. It automates a high-volume, error-prone manual task, improving data coverage and accuracy for Categories 1 and 2 while integrating directly with AP and procurement systems.
This workflow deploys monitoring agents to continuously scan ingested supplier data for outliers, missing fields, and improbable values against historical trends and industry benchmarks. It automates data cleansing, reduces the risk of reporting errors, and triggers re-engagement requests, ensuring a higher-quality foundation for emissions accounting.
This specialized calculation workflow automates the application of supplier-specific and spend-based emissions factors to procurement data. It handles complex allocation logic, currency conversions, and factor updates, delivering accurate, repeatable Category 1 totals and replacing error-prone manual modeling in Excel.
This workflow automates the aggregation of cradle-to-gate emissions data across bill-of-materials and multi-tier suppliers to calculate a single Product Carbon Footprint. It models complex supply chains, applies lifecycle stages, and generates PCFs at scale for product portfolios, supporting eco-design and customer disclosure needs.
This simulation workflow allows sustainability and procurement teams to model the emissions and cost impact of switching suppliers, adopting new materials, or changing logistics routes. It automates scenario analysis against baseline data, providing quantifiable trade-off insights to inform sourcing strategies and net-zero roadmaps.
This workflow integrates carbon impact data directly into the procurement workflow, providing real-time emissions estimates for purchase orders and sourcing events before approval. It enables carbon-weighted decision-making, reduces the carbon footprint of incremental spending, and requires API integrations with sourcing platforms and ERP systems.
This workflow automates the assembly, formatting, and submission of Scope 3 data into frameworks like CDP and the Corporate Sustainability Reporting Directive (CSRD). It maps internal data to framework requirements, drafts narrative responses, and creates audit trails, cutting manual reporting effort by weeks and improving compliance accuracy.
This monitoring workflow automatically tracks supplier emissions performance against targets, identifies laggards, and triggers personalized communication or corrective action plans. It replaces manual supplier management, ensures continuous engagement, and helps procurement teams focus intervention where it has the greatest reduction impact.
This risk workflow correlates supplier emissions data with geopolitical, regulatory, and financial risk signals to automatically flag high-risk vendors in the supply chain. It enables proactive risk mitigation, informs diversification strategies, and integrates external data feeds with internal supplier master data.
This integration workflow automates the bidirectional flow of supplier, material, and spend data between core ERP systems (SAP, Oracle) and specialized carbon accounting platforms. It eliminates manual data exports and reconciliation, ensuring the carbon ledger is always based on the latest financial and operational data.
This workflow automates the challenging process of collecting and validating emissions data from sub-tier suppliers (Tier 2, Tier 3) who lack direct relationships. It uses agentic outreach, secure data-sharing protocols, and estimation modeling to build a more complete picture of upstream Scope 3 impact.
This industry-specific workflow automates the tracking of embedded carbon across the complex battery supply chain, from mining and refining to cell manufacturing and assembly. It addresses the unique data challenges of critical minerals, integrates with PLM systems, and supports compliance with regulations like the EU Battery Passport.
This workflow automates the aggregation of carbon and water footprint data from disparate raw material suppliers across global apparel supply chains. It normalizes data from farm-level to fabric mill, enabling accurate footprint calculation for individual garments and collections to support sustainable sourcing and labeling.
This workflow automates the modeling of emissions across the agricultural, processing, distribution, and retail stages of food production. It integrates IoT sensor data from farms, processing yields, and cold-chain logistics to provide a granular, actionable view of carbon hotspots from field to consumer.
This workflow automates the collection and calculation of embodied carbon data for thousands of building material SKUs from suppliers. It integrates with BIM and estimating software, allowing project teams to compare design options based on carbon impact alongside cost, accelerating low-carbon construction planning.
This workflow automates the calculation and aggregation of carbon footprints for a retailer's entire private label portfolio. It connects sourcing data with supplier-specific emissions factors, enabling category managers to identify high-impact products and work with suppliers on reduction initiatives at scale.
This analytics workflow uses historical emissions data, procurement forecasts, and macroeconomic indicators to predict future Scope 3 emissions. It automates the creation of carbon budgets, identifies potential overshoots early, and supports more accurate financial planning for internal carbon pricing or offset procurement.
This advanced analytics workflow models the supply chain as a graph and uses network analysis agents to automatically identify concentrated nodes of emissions risk (hotspots). It reveals hidden dependencies and concentration risks, guiding targeted reduction efforts and building more resilient, low-carbon supply networks.
This workflow automates the collection and normalization of public peer emissions data, then benchmarks a company's Scope 3 performance against relevant industry cohorts. It provides an automated competitive intelligence layer, highlighting performance gaps and opportunities for improvement without manual research.
This governance workflow automatically documents every data point, assumption, emission factor, and calculation step in the Scope 3 accounting process. It creates a immutable, queryable audit trail that satisfies internal audit and external assurance requirements, turning a manual compliance burden into an automated byproduct.
This control workflow automates the governance of emissions data, ensuring that only authorized users can view, edit, or approve figures based on their role and the data's sensitivity. It manages multi-level approval chains for reported numbers, embedding compliance and control directly into the operational workflow.
This compliance workflow continuously monitors official channels and legal databases for updates to disclosure regulations like CSRD or the SEC climate rule. It parses changes, maps them to internal data processes, and alerts relevant teams, reducing the risk of missing critical updates that affect reporting obligations.
This procurement integration workflow automatically calculates and applies a carbon score to every supplier response in an RFx (Request for Proposal/Quote). It embeds emissions impact directly into the sourcing evaluation criteria alongside cost and quality, enabling objective selection of lower-carbon suppliers.
This workflow automates the translation of carbon emissions into a monetary value using an internal carbon price, then adds this cost to the traditional TCO calculation for sourcing decisions. It makes the carbon impact financially tangible for procurement teams, directly influencing buying behavior toward lower-carbon options.
This legal workflow automates the drafting of ESG and emissions reduction clauses for supplier contracts based on negotiated targets and baseline data. It integrates with CLM systems, ensures contractual consistency, and reduces legal review cycles for sustainability teams embedding requirements into procurement.
This stakeholder communication workflow uses a RAG (Retrieval-Augmented Generation) system to automatically generate accurate, consistent answers to investor questions about Scope 3 emissions, reduction targets, and strategy. It prepares finance and IR teams for engagements by pulling from approved disclosures and internal data.
This workflow automates the generation of accurate, verified carbon footprint data for individual products, formatted for consumer-facing labels or e-commerce detail pages. It connects PCF calculations with product information management (PIM) systems, enabling scalable transparency and green marketing claims.
This workflow automates the modeling of emissions impact from circular economy initiatives like recycling, remanufacturing, or product-as-a-service models. It compares linear and circular scenarios for specific product lines, quantifying the carbon reduction potential to inform investment and design decisions.
This logistics-focused workflow analyzes supplier shipment data (mode, distance, load factor) to model and recommend lower-carbon transportation alternatives. It automates the identification of optimization opportunities, such as modal shifts or consolidation, and integrates with Transportation Management Systems (TMS) for execution.
This workflow automates the complex accounting of emissions from purchased capital goods (Scope 3, Category 2) by applying depreciation schedules aligned with the asset's lifetime. It removes manual estimation, ensures consistent application of the GHG Protocol, and improves the accuracy of long-term emissions reporting.
This governance workflow uses graph logic and agentic checks to identify and prevent double-counting of emissions where a company's Scope 3 output is another entity's Scope 1 or 2. It is critical for consortiums or value chains seeking to aggregate accurate total footprints without inflation.
This workflow automatically scores suppliers based on their emissions impact, reduction potential, and strategic importance to generate a prioritized engagement list. It then orchestrates personalized outreach campaigns, tracking responses and follow-ups, maximizing the ROI of supplier collaboration efforts.
How We Work
One-fit-all AI don't work for modern businesses. At Inferensys, we aim to understand your business & custom requirements; which we use to define most efficient agentic workflows, the data, and the tools for your business.
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We understand the task, the users, and where AI can actually help.
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We define what needs search, automation, or product integration.
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We implement the part that proves the value first.
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We add the checks and visibility needed to keep it useful.
Read moreThe first call is a practical review of your use case and the right next step.
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