Regain Control of Your Legacy Systems
Secure, AI-assisted code analysis and modernization planning — without risking your data.
Knowledge Blindness
PROBLEM
Minimal or outdated documentation causing blind spots and operational risk
IMPACT
Your team can't confidently make modernization decisions—time and cost estimates are unreliable.
Developer Friction
PROBLEM
Undocumented code, lost developer knowledge, and fragmented specifications
IMPACT
Onboarding takes months, not weeks. Maintenance becomes a bottleneck.
Architecture Risk
PROBLEM
Outdated requirements obscure behavior, dependencies, and architecture fit
IMPACT
Refactor vs. extend vs. rewrite decisions lack clarity — leading to costly missteps.
Security First
● Data never leaves your protected environment
● No external model training or unauthorized sharing
● Private or API-based compute options—your choice
● Compliance-ready (CCPA, GDPR, HIPAA, PCI-DSS, export controls)
Speed
● Rapid, parallelized analysis using AI agents and automated pipelines
● Weeks, not months, to actionable insights
● Faster ROI through accelerated delivery
Actionable Intelligence
● Clear architecture understanding and dependency mapping
● Specific refactoring roadmap with trade-offs explained
● Risk assessment with modernization recommendations
● Pragmatic decision framework: rewrite vs. improve vs. extend
Stage #1:
Data Analysis & Preparation
What We Do
● Review and assess your documentation and code samples
● Clean, normalize, tag, and structure all inputs
● Identify gaps, inconsistencies, and missing modules
● Prepare data for AI analysis and embedding generation
What You Get
● Data quality report with actionable insights
● Structured dataset ready for analysis
Stage #2:
AI Orchestration & Analysis
What We Do
● Generate embeddings and build vector database
● Deploy WebUI chat interface connected to multifunctional AI agent
● Configure specialized agents (summaries, alignment, vulnerabilities, refactoring recommendations)
● Run automated analysis tasks using AI agent powered workflows
What You Get
● Live WebUI connected to your RAG powered
AI Agent
● Initial AI-generated insights and traceability maps
Stage #3:
Human Review & Validation
What We Do
● Senior experts review and validate all AI outputs
● Correct, refine, and expand findings based on deep development expertise
● Finalize recommendations and technical commentary
● Ensure accuracy and business alignment
What You Get
● Verified insights and validated findings
● Corrected outputs refined by human expertise
● Recommendations tailored to your business context
Stage #4:
Final Documentation & Delivery
What We Do
● Prepare complete deliverables package
● Create roadmap, audit summary, backlog,
annotated code
● Provide governance materials for ongoing use
● Finetune multifunctional AI agent with WebUI access
What You Get
● Complete modernization audit & documentation package
● Ready-to-use AI-powered set up & knowledge agent for internal use
Fully Commented,
Explained Source Code
● Every function documented
and explained
● Developers ramp up in days, not
months
● Reduces onboarding risk and
accelerates feature delivery
Technical & Functional
Documentation
● Current, maintainable documentation reflecting actual system behavior
● Replaces outdated specs with living
reference material
● Single source of truth for architecture
and design decisions
Architecture &
Quality Assessment
● Precise health snapshot of your current system
● Dependencies, vulnerabilities, and technical debt identified
● Specific refactoring roadmap with prioritization
Modernization
Decision Framework
● Clear rewrite vs. improve vs. extend
analysis
● Trade-off analysis with time and cost
estimates
● Executive summary for boardroom-
ready business cases
AI-Powered
Knowledge Agent
● Continues assisting your team post-
engagement
● Interactive WebUI for questions about code, architecture, dependencies
● Reduces ongoing support burden and accelerates decision-making
01
Faster Developer Onboarding
● Reduce onboarding timeline from months to weeks
● New team members productive faster
● Lower training costs and ramp-time risk
02
Lower Maintenance Risk
● Eliminate blind spots in your codebase
● Proactive vulnerability and technical debt identification
● Confident refactoring and feature development
03
Confident Modernization Planning
● Full technical clarity before major decisions
● Reduce scope creep and cost overruns
● Data-driven business case for rewrite vs. improve
04
Immediate Productivity Boost
● AI-assisted code understanding accelerates feature delivery
● Developers spend less time investigating legacy behavior
● Teams focus on innovation, not archaeology
Data Isolation
● Processing runs in isolated, secure silos
● Your code never trains public models
● Option for private, self-hosted infrastructure
Flexible Deployment
BUSINESS: API-based (faster, cost-efficient, security managed by provider)
PRIVATE: Self-hosted (maximum control, dedicated infrastructure)
Compliance-Ready
● CCPA, GDPR, HIPAA, PCI-DSS, export controls
● Audit-friendly workflows and documentation
● Governance materials included
Transparent Oversight
● Human expert review of all AI outputs
● Client approval gates at each stage
● Full visibility into methodology and findings
Delivery Manager
● Single point of contact for timelines and coordination
● Project governance and status reporting
● Client success and outcome alignment
AI Solution Architect
● Selects optimal models and tools for your codebase
● Designs agent orchestration and analysis workflow
● Defines security posture and deployment architecture
Business Analyst
● Maps business context and acceptance criteria
● Ensures technical findings align with strategic goals
● Translates technical insights into business language
Data Scientist
● Leads data quality and preprocessing
● Designs and optimizes embeddings pipeline
● Ensures analysis foundation is sound
Technical Architect
● Leads code review and technical validation
● Verifies AI findings against expert judgment
● Ensures recommendations are pragmatic and implementable
Ops / DevOps
● Hosts and manages vector database infrastructure
● Manages private model deployments if applicable
● Monitoring, scaling, and security operations
AI Agents &
Automation Engineers
● Implements and tunes specialized task agents
● Prompt engineering and pipeline optimization
● Monitors analysis quality and coverage
Timelines Overview
Stage 1
(Data Analysis & Preparation)
WEEKS 2+
Stage 2
(AI Orchestration & Analysis)
WEEKS 2+
Stage 3
(Human Review & Validation)
WEEKS 2+
Stage 4
(Final Documents & Delivery)
WEEKS 2+