AI for Enterprise Capital and Resource Allocation

Cord helps executive, finance, operations, strategy, and corporate development teams decide where capital, capacity, people, inventory, tokens, and commitments should go next.

What Cord Does

Cord connects system data, files, documents, and team knowledge into an ontology-backed decision graph. Teams use that graph to ask allocation questions, compare scenarios, calculate ROI, and generate board-ready reports with source-level audit trails.

How Cord Works

1. Connect source systems, documents, files, and workflows.
2. Sanitize raw data with AI agents that clean, match, and reconcile records.
3. Ontologize the business into a connected map of systems, people, assets, workflows, commitments, and decisions.
4. Model trade-offs with natural-language queries, graph traversal, scenario analysis, ROI logic, and predictive workflows.
5. Audit every material answer through lineage, citations, calculation paths, and assumption trails.
6. Decide with sourced answers, business cases, dashboards, diligence packs, and board-ready evidence.

Core Use Cases

• True unit economics by customer, asset, unit, segment, product, or market.
• Capital and resource allocation across initiatives, headcount, capacity, inventory, and commitments.
• Prioritization and trade-offs for investments, cuts, product work, vendors, and market expansion.
• M&A diligence, fundraising narratives, sources and uses decisions, and board reporting.
• Agentic finance and operations workflows that preserve context across recurring planning cycles.

How Cord Differs From BI And ERP

BI dashboards show what happened. ERP dashboards show what is recorded in a system of record. Cord helps teams decide what to allocate next, why, under which constraints, with what ROI, and with what audit trail.

Customer Outcomes

Cord-supported customer work has helped companies secure acquisition bids 50% above initial offers, select bids 2x higher than initial offers, move from portfolio averages to unit-level profitability, unify customer contracts into one source of truth, return 20% of daily time to operations leaders, and identify paths to new business and operating expense reduction.

AI-Readable Context

Canonical AI context is available at /llms.txt, /llms-full.txt, /overview.md, /how-it-works.md, /use-cases.md, /compare-bi-erp.md, /security.md, and /outcomes.md.