Decision Model Registry

Estimates enterprise AI cost exposure by combining usage, pricing, and operational risk drivers before production scale.

Compares build and buy pathways using expected-value financial logic, implementation timelines, and risk-adjusted outcomes.

Scores enterprise AI readiness and deployment risk across governance, security, compliance, and reliability controls.

Assesses whether architecture choices are proportionate to business need, team capability, and operating context.

Measures enterprise architecture complexity using weighted structural drivers and cumulative technical debt signals.

Detects over-engineering by comparing cloud component complexity against workload needs and team readiness.

Evaluates enterprise integration landscapes for fragility, coupling, and operational burden.

Quantifies long-term dependency risk by assessing portability, contractual constraints, and ecosystem concentration.

Matches enterprise data platform choices to workload characteristics, governance needs, and operating model constraints.

Estimates Data Cloud and platform service credit consumption across usage mode, environment, and bundle economics.

Guides Data Cloud home-org strategy using capability fit, operating constraints, and platform governance considerations.

Selects ingestion and federation patterns based on latency, data volume, integration topology, and lifecycle constraints.

Evaluates multi-org design trade-offs for data sharing, governance control, and enterprise operating scale.

Synthesizes architecture signals into a structured summary to support executive decision alignment and next-step planning.

Models Agentforce credit burn from first principles: token overflow inflation, billing model break-even analysis, and voice stack cost decomposition across action volume and deployment patterns.

7-step AI pipeline that ingests curated RSS feeds, applies binary relevance triage via CF Workers AI, deduplicates with semantic embeddings, and uses Vertex AI (Gemini) for deep architectural impact extraction and macro trend synthesis.

Structured comparison of architecture trade-offs across opposing approaches, with expert verdict and contextual conditions.