AI Systems
Evaluate cost, ROI, and operational risk of enterprise AI systems.
Architecture Decision Lab
Decision tools for enterprise architecture. Each tool turns a recurring architecture question into a structured evaluation for comparing options, surfacing trade-offs, and testing assumptions.
These tools help analyze architectural trade-offs and complexity in enterprise systems before teams make large platform commitments.
These tools are built to support decision-making before major commitments. They do not replace architectural review or professional judgment.
How Architecture Decisions Work
Architecture decisions often involve uncertainty and incomplete information.
This lab structures decisions into four stages:
- 1. Evaluate AI feasibility
- 2. Assess architecture complexity
- 3. Validate data platform fit
- 4. Finalize platform ecosystem decisions
Each stage has dedicated tools that help teams evaluate trade-offs before committing to architecture.
Current Focus Areas
Active tools are grouped by architecture domain. All tools are publicly available and free to use.
AI Systems
Evaluate cost, ROI, and operational risk of enterprise AI systems.
- Open →
AI Cost Risk Analyzer
ActiveEstimate operational and infrastructure cost exposure for enterprise AI systems before production scaling.
For: Enterprise Architects • AI Platform Teams • Technical Decision Makers Est. Time: 5-10 min - Open →
AI ROI Simulator - Build vs Buy
ActiveEvaluate expected return on enterprise AI initiatives across build-versus-buy options.
For: Enterprise Architects • Engineering Leaders • Technical Decision Makers Est. Time: 5-10 min - Open →
Enterprise AI Risk Scanner
ActiveAssess enterprise readiness for responsible AI deployment across governance, reliability, and compliance.
For: Enterprise Architects • Governance Teams • AI Platform Teams Est. Time: 5-10 min
System Architecture
Evaluate system complexity, integration risk, and architectural sustainability.
- Open →
Architecture Fitness
ActiveRun shared architecture inputs once and evaluate complexity-index and over-architecture diagnostics together.
For: Enterprise Architects • Platform Engineers • Technical Decision Makers Est. Time: 8-12 min - Open →
Enterprise Architecture Complexity Index (EACI)
ActiveMeasure weighted architecture complexity drivers and technical debt pressure.
For: Enterprise Architects • Platform Engineers • Engineering Leaders Est. Time: 8-12 min - Open →
Cloud Over-Architecture Detector
ActiveDetect when cloud design complexity exceeds workload needs and team readiness.
For: Enterprise Architects • Platform Engineers • Engineering Leaders Est. Time: 8-12 min - Open →
Integration Complexity Calculator
ActiveEvaluate operational complexity of enterprise integration landscapes across systems, patterns, and governance maturity.
For: Enterprise Architects • Platform Engineers • Technical Decision Makers Est. Time: 8-12 min - Open →
Vendor Lock-In Risk Analyzer
ActiveEstimate long-term technology vendor dependency risk across proprietary APIs, portability constraints, and integration depth.
For: Enterprise Architects • Technical Decision Makers • Governance Teams Est. Time: 8-12 min
Data Architecture
Evaluate data platform architecture choices and governance alignment.
Platform Ecosystems
Evaluate architectural trade-offs within major enterprise platforms.
These tools help architects reason about platform strategy, ecosystem complexity, and architectural constraints introduced by large enterprise platforms.
Current coverage focuses on Salesforce Data Cloud (Data 360) architecture decisions. Future platform ecosystems may include Snowflake, Databricks, and ServiceNow.
Salesforce - Data Cloud Architecture
- Open →
Salesforce Credits Estimator
ActiveEstimate Salesforce Data Cloud and AI consumption credits to plan platform usage.
For: Salesforce Architects • Platform Engineers • Technical Decision Makers Est. Time: 5-10 min - Open →
Data 360 Home Org Provisioning Advisor
ActiveEvaluate Data Cloud One, existing-org, and dedicated-org provisioning strategies for Salesforce Data 360.
For: Salesforce Architects • Enterprise Architects • Technical Decision Makers Est. Time: 10-15 min - Open →
Data 360 Ingestion & Federation Pattern Selector
ActiveRecommend Data 360 ingestion and federation patterns based on latency, volume, and governance constraints.
For: Salesforce Architects • Data Architects • Platform Engineers Est. Time: 10-15 min - Open →
Data 360 Multi-Org Strategy Simulator
ActiveSimulate independent, shared, and hybrid Data 360 multi-org strategies across governance and reporting needs.
For: Salesforce Architects • Enterprise Architects • Governance Teams Est. Time: 10-15 min - Open →
Agentforce Credit Burn Modeler
ActiveModel Agentforce Flex Credit consumption across agent designs, billing models, and voice deployments to surface cost traps before you go to production.
For: Salesforce Architects • Platform Engineers • Enterprise Architects • Engineering Leaders Est. Time: 5 min - Open →
Data 360 Architecture Summary Generator
ActiveGenerate architecture decision summaries with rationale, trade-offs, risk areas, and governance notes.
For: Salesforce Architects • Technical Decision Makers • Engineering Leaders Est. Time: 5-10 min
Current tools focus on architectural decisions related to Salesforce Data Cloud. Additional Salesforce architecture decision tools may be added in the future, including org strategy, integration architecture, and platform governance.
Decision Domains
System Architecture
Evaluate system complexity, integration risk, and architectural sustainability.
Data Architecture
Evaluate data platform architecture choices and governance alignment.
Platform Ecosystems
Evaluate architectural trade-offs within major enterprise platforms.
Why These Tools Exist
Architecture decisions often involve uncertainty and incomplete information.
The tools in Sarfarajey Lab are experiments in making architecture reasoning more structured. They transform qualitative architecture discussions into quantitative signals that help teams compare options and evaluate trade-offs.
Decision Model Disclaimer
The tools in this lab provide structured decision models designed to help evaluate architectural trade-offs.
Results are directional guidance and should not replace professional architectural analysis or enterprise architecture review.
Architectural decisions should always consider organizational context, operational constraints, and real-world implementation factors.
The models used in these tools simplify complex systems and assumptions may not fully capture every real-world constraint.
Use the outputs as guidance to support architectural reasoning rather than definitive answers.
Platform examples used in this lab illustrate architectural trade-offs across real-world ecosystems. Sarfarajey Lab is vendor-neutral and not affiliated with or endorsed by any platform provider.