System & Risk Assessment
Turn uncertainty into a prioritized plan — architecture, risks, and a modernization roadmap you can execute.
When you suspect hidden risk — or slow delivery — but don’t know where to start.
- You’re running a mission-critical system with unclear fragility
- Incidents, manual workarounds, or “tribal knowledge” keep piling up
- Shipping changes feels risky and slow
- You need a modernization plan with real trade-offs (not theory)
Not a fit if
- You only want a generic audit checklist
- You already have a committed architecture plan and backlog you trust
Outcomes
What you’ll have after 2–3 weeks
Architecture snapshot
Current state, key components, dependencies, constraints
Risk register
Top risks with impact/likelihood + mitigations
Prioritized backlog
“first 90 days” actions + longer roadmap
Modernization options
fix/refactor/replace trade-offs with effort bands
Delivery recommendation
the fastest safe next step (Sprint vs Retainer)
What we review
Product & domain
business goals, workflows, constraints
Code & architecture
modules, boundaries, coupling, testability
Platform & delivery
CI/CD, environments, deploy process
Operations
incidents, monitoring, performance, reliability
Data & integrations
critical flows, data ownership, interfaces
Security posture
access, secrets, basic threat surfaces
Deliverables
Assessment report (PDF)
Findings, risks, and recommended actions with clear priorities.
Architecture map
A readable “this is how it works” view for engineers and leadership.
Risk register
Impact/likelihood, mitigation actions, owners, and sequencing.
Modernization roadmap
90-day plan + phased roadmap (with milestones).
Readout workshop (60–90 min)
Decision support: options, trade-offs, and next steps.
How it works
Kickoff
Goals, constraints, access, stakeholders
Interviews
Engineering + ops + business (timeboxed)
Technical review
Code, platform, ops signals
Synthesis
Risks, priorities, options
Readout
Decisions, roadmap, next step
Timeline & pricing
System size + access + complexity
What drives cost
- Number of repos/services and integration points
- Availability/quality of docs
- Environment and deployment complexity
- Incident history and observability maturity