AI Refactoring Assessment | Altimi

AI Refactoring Assessment

Reduce risk. Accelerate modernization. Validate your next move.
A short, decision-focused product to safely prepare your AI-powered refactoring journey.

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Duration3–5 Weeks
WorkstreamsAssessment + Spike
OutcomeThe Decision Pack

Trusted by teams at

Siemens Apport Etteplan BenQ SofteBank Tidal Greenbone

Why it matters

Traditional modernization often starts with “refactor first, validate later.” With AI now in the mix, that approach is too risky.

AI Refactoring Assessment replaces guesswork with a structured phase that helps you:

Reduce decision risk
Understand where to start and which modernization path is actually feasible.
Find the best AI leverage
Identify areas where AI can support transformation or documentation safely.
Achieve readiness
Leave with a clear blueprint and validated assumptions for delivery.

Two linked workstreams

1. Analytical Assessment

Diagnostic deep dive into architecture and modernization blockers.

  • Architecture and module landscape review
  • Dependency and impact mapping
  • Technical debt analysis
  • Refactoring candidate segmentation
  • Initial AI suitability scan
Outcome: Current-state baseline, risk-aware sequencing, and prioritized logic.

2. Technical Spike

Focused technical test that validates your riskiest assumptions.

  • Feasibility of migration patterns
  • Coexistence strategy (Legacy vs Target)
  • AI-assisted routines (codemods, transformation)
  • Test generation and documentation check
Outcome: Evidence-based view of what works and how AI can accelerate safely.

The Decision Pack

Cohesive deliverables ready for stakeholder buy-in.

Executive Summary High-level findings and modernization path.
Risk Map Priority-ranked issues and mitigation plan.
Refactoring Roadmap Sequence, dependencies, and safe start points.
Backlog Foundation Initial epics and work packages for planning.
Spike Findings Validated assumptions and automation potential.
AI Governance Notes Human-in-the-loop guardrails and control points.

Indicative Timeline

A 4-week typical engagement. 3 weeks for compact scope, 5 for broader environments.

Week 1: Kick-off & Intake
Access setup, stakeholder sessions, scope alignment.
Week 2: Analytical Assessment
Architecture review, dependency mapping, risk segmentation.
Week 3: Technical Spike
Targeted validation and AI proof points.
Week 4: Synthesis & Roadmap
Consolidated findings, readout workshop, decision support.

Case Studies

Modernization results from real projects. These are actual Altimi engagements where legacy systems were modernized under pressure.

Germany · IoT / Utilities
Cuculus GmbH
Challenge: Project delayed, regulatory deadline at risk.
Scope: Architecture (Java/Kotlin), test automation.
  • Regulatory deadline met
  • 300% capacity growth
Iceland · Finance
RB Bank Iceland
Challenge: Legacy banking systems modernization.
Scope: Core system modernization & mobile app encryption.
  • Full financial compliance
  • Improved security quality
Sweden · E-commerce
JetShop
Challenge: Scaling platform performance.
Scope: Platform modernization (ASP.NET MVC, AWS).
  • Stable platform for 3,000+ businesses
  • Improved scalability
Denmark · Logistics
Apport Systems
Challenge: WMS process alignment.
Scope: Development of new WMS & logistics applications.
  • Improved usability
  • Multi-year stable partnership

Pricing Options

PackageDescriptionPrice
Assessment onlyAnalytical review, findings, and roadmap.€ 8 000
Assessment + SpikeFull dual-stream validation (Recommended).€ 10 000
Extended ReadinessWorkshops, estimation, and mobilization inputs.€ 20 000

What we need from you

  • Read-only access to repositories and docs
  • Short workshops with engineering leads
  • Decision-maker access for alignment

Critical success factor:

Fast feedback = assessment accuracy.

Book an intro call
Research & Insights

Data-Driven Modernization Insights

Explore our research-backed playbook built from parallel deep research streams.