System Inventory
APIs, jobs, integrations, infrastructure, and data stores mapping
- Clear understanding
- Dependency mapping
- Impact analysis
A concise, evidence-driven method to identify what parts of a legacy estate truly need modernization—prioritizing risk, value, and feasibility. Includes scope, criteria and signals, a lightweight scoring model, a two-week assessment plan, safe AI assist, and practical artifacts to produce.
Use a short, structured assessment to decide what to modernize first. Start with objective signals across architecture, operability, data, security/compliance, and TCO; score value vs risk; and produce a pragmatic plan—favoring incremental moves with clear rollback points.
APIs, jobs, integrations, infrastructure, and data stores mapping
Reliability, performance, security, compliance, and operability snapshot
Business process and SLA alignment with modernization priorities
Refactor, re-platform, strangler migration, or rewrite recommendations
30-60 day improvements with immediate value and risk reduction
Value, cost, risk, and time-to-first-value analysis per candidate
| Category | Key Signals | Assessment Focus |
|---|---|---|
| Architecture | God classes, shared DB tables, tight runtime coupling | Modularity, boundaries, and dependency management |
| Runtime | Timeouts, tail latencies, cascading failures, rollbacks | Reliability, performance, and failure recovery |
| Codebase | Low test coverage, flaky tests, global state, dead code | Changeability, maintainability, and technical debt |
| Dependencies | Unsupported runtimes, critical CVEs, transitive risks | Security, stability, and upgrade paths |
| Security | Missing validation, weak auth, secrets in code | Controls, posture, and vulnerability management |
| Compliance | Untracked PII, retention gaps, weak audit logs | Data handling, governance, and regulatory requirements |
| Data | Undocumented schemas, migration breakage, tight coupling | Integrity, portability, and architecture |
| Operability | Sparse metrics, manual deploys, poor rollback | Observability, automation, and release management |
| Factor | Weight | 0 (Low) | 1 | 2 | 3 (High) |
|---|---|---|---|---|---|
| Business Criticality | 3 | Peripheral | Supports non-core workflow | Supports core workflow | Revenue/mission critical |
| Risk Exposure | 3 | Minimal | Localized | Cross-team | Org-wide or regulatory |
| Change Velocity | 2 | Rare changes | Quarterly | Monthly | Weekly/daily |
| Cost Pressure | 2 | Acceptable | Rising | High | Unsustainable |
| Talent Availability | 2 | Plenty | Some | Scarce | Critical scarcity |
| Compliance Impact | 2 | None | Low | Moderate | High (PII/regulated) |
Target items with weighted score ≥ 2.1 and safe path to first value in ≤ 90 days.
Align on objectives, constraints, SLAs, and acceptable risk windows
Map services, data stores, integrations; capture reliability and performance metrics
Analyze code, dependencies, data flows; validate signals with subject matter experts
Propose refactor/re-platform/strangler/rewrite options with rollback plans
Present priorities, quick wins, and 90-day plan; confirm owners and decision gates
Summarize modules and surface risky couplings within private boundaries
Generate candidate unit and contract tests for human review and validation
Create draft diagrams from repos and infrastructure code for expert validation
Explain impact and outline upgrade steps for security findings
Classify sensitive data and propose de-identification strategies
No production data exposure; human approval required; audit trails maintained
Shared databases across domains without transactional boundaries
Critical path depends on unmaintained libraries or unsupported runtimes
No automated rollback; weekend releases with recurring hotfixes
Secrets in code, missing audit trails, weak access controls
Undocumented batch jobs with implicit ordering and fragile dependencies
Repeated incidents with timeouts, retry storms, and unclear ownership
Implement safe deployment and rollback capabilities
Establish service level objectives and golden signals monitoring
Generate SBOMs, upgrade critical CVEs, centralize secrets
Decouple reporting from OLTP via replicas or change data capture
Capture architecture as code with diagrams and infrastructure references
Comprehensive dependency graph and component mapping
Reliability, performance, and change metrics with historical context
Business process alignment and impact analysis with prioritization
Prioritized candidate list with options and implementation strategies
30-60 day improvements with assigned owners and success criteria
Business case analysis and 90-day execution roadmap
Clear triggers, models, and ROI for bringing in external guidance—augmented responsibly with AI
Read more →Ship safer upgrades—predict risk, tighten tests, stage rollouts, and use AI where it helps
Read more →A clear criteria-and-evidence framework to choose and evolve your stack—now with AI readiness and TCO modeling
Read more →Turn strategy into a metrics-driven, AI-ready technology roadmap
Read more →Make risks quantifiable and investable—evidence, scoring, mitigations, and decision gates
Read more →Get an evidence-based assessment and 90-day roadmap that balances speed, cost, and risk with clear modernization priorities.