Technical software audit: turn complexity into clarity
CIGen’s modular software audit framework delivers clear, actionable insights for modernization, performance, and cost efficiency. Our Azure-certified engineers analyze your systems across ten focus areas, from CI/CD pipelines to cost optimization, and provide a unified report with measurable improvements, modernization roadmap, and ROI projections.
Uncover technical risks and improvement areas to strengthen your digital foundation.

Why conduct a technical software audit?
Detect outdated dependencies, fragile integrations, and code-level issues before they cause outages or escalate into major failures.
Reveal architectural bottlenecks, inefficient data flows, and resource overuse to enable smoother scaling and faster response times.
Analyze infrastructure usage and configuration to uncover cost-saving opportunities across compute, storage, and network resources.
Validate access control, data protection, and configuration practices against standards such as GDPR, ISO, or HIPAA.
Assess repository structure, CI/CD pipelines, and documentation to improve consistency, maintainability, and team productivity.
Evaluate architecture and data readiness to support system modernization, automation, or AI integration opportunities.
Match the technical software system audit scope to your company’s needs
CIGen offers a flexible audit program structured into ten modules. Select only the areas relevant to your goals, whether you are preparing for modernization, optimizing performance, improving operational reliability, or evaluating AI readiness. Each selected module produces a dedicated section of the final audit report with clear findings and next-step recommendations.
This audit explicitly maps findings and recommendations to the Azure Well-Architected Framework (WAF) pillars: Reliability, Security, Cost Optimization, Operational Excellence, and Performance Efficiency.
The audit team assesses whether architectural and API documentation is accurate, up-to-date, and sufficiently detailed for new developers to understand system behavior. The goal is to reduce onboarding friction and reliance on internal knowledge transfer.
We evaluate clarity, consistency, and relevance in code-level documentation, checking whether explanations support maintainability and long-term development. This helps distinguish intentional design decisions from legacy artifacts.
Reviewing wikis, internal guides, onboarding checklists, and training flows. This determines how effectively a new engineer or external team could begin contributing without extended ramp-up time.
We examine how documentation is updated as systems evolve, including ownership, approval workflows, and accuracy control. Consistent governance lowers the risk of outdated or contradictory knowledge.
WAF pillars (primary → secondary): Operational Excellence → Reliability, Security.
Software architects analyze how the system is structured and where logical responsibilities lie. The aim is to determine whether components are properly isolated or tightly coupled in ways that hinder change.
We review the extent to which the system reflects natural business domains. Clear domain boundaries enable scalable feature development and reduce cross-team coordination complexity.
CIGen team assesses how the system performs under load, how failures are contained, and how data moves between services. This highlights bottlenecks, cascading failure risks, and areas where resilience can be improved.
If relevant, tech audit experts outline viable modernization patterns (e.g., modular monolith, microservices transition, event-driven redesign). This provides structured guidance rather than disruptive large-scale rewrites.
WAF pillars (primary → secondary): Reliability → Performance Efficiency.
Experts map call chains, queue usage, and event propagation between services. Understanding these flows helps reveal latency hotspots and reliability risks.
Identification of internal and external APIs the system depends on, along with versioning, rate limits, and integration complexity. This clarifies integration points that may require stabilization or redesign.
We evaluate whether eventing patterns are consistent and well-defined, including message schemas, routing, and idempotency. Clear event models support scalability and system observability.
The review of how services recover from failure, including retry strategies, backoff, and circuit-breaking patterns. Proper fault handling reduces downtime and prevents cascading outages.
WAF pillars (primary → secondary): Reliability → Operational Excellence, Performance Efficiency.
DevOps experts evaluate Terraform / Bicep / ARM / CloudFormation templates, parameterization, modularity, and provisioning workflows. Strong IaC practices reduce configuration drift and improve environment reproducibility.
We review network segmentation, service boundaries, VPC/VNet structure, firewalling, and traffic controls. Proper isolation limits blast radius and improves compliance posture.
Analysis of compute, storage, and networking usage patterns to determine whether resources align with workload needs. This reveals both cost inefficiencies and performance constraints.
CIGen specialists assess backup frequency, retention, restoration processes, and system failover behavior. A resilient system must tolerate outages without impacting critical operations.
WAF pillars (primary → secondary): Reliability → Cost Optimization, Performance Efficiency.
We determine where predictive models, NLP, or LLM-based automations may provide value in workflows, decision support, or user experience. This ensures AI adoption targets real business impact.
Review of the API structures, data accessibility, and processing pipelines to evaluate whether AI services can be integrated with minimal restructuring.
We check data permissions, retention, access models, and regulatory constraints to ensure responsible AI deployment aligned with legal and organizational policy.
We assess compute, storage, and observability baselines needed for inference workloads or model hosting. This ensures system readiness before implementation effort begins.
WAF pillars (primary → secondary): Performance Efficiency → Security, Operational Excellence.
We review IAM/RBAC configurations, privilege scoping, and credential lifecycle. Clear access control reduces the risk of unauthorized entry or privilege escalation.
Assessment of secret storage, secret rotation, and library vulnerability exposure. Strong controls protect sensitive data and prevent supply-chain risk.
We verify encryption, segmentation, ingress/egress rules, and data residency. Ensuring data protection safeguards operations and compliance.
Our compliance experts check practices against relevant standards (GDPR, HIPAA, ISO or internal policies). This helps prepare for certification or compliance review processes.
WAF pillars (primary → secondary): Security → Operational Excellence, Reliability.
Our cloud consultants model actual usage patterns against provisioned capacity. This identifies over-allocation, misconfigured scaling, and cost inefficiencies.
We examine service latency, I/O pressure, query execution patterns, and concurrency behavior to locate throughput constraints.
The Cloud Cost Optimization experts recommend targeted optimizations that improve performance without redesigning core systems.
We estimate potential cost savings and model expected returns from recommended actions to support budgeting and prioritization.
WAF pillars (primary → secondary): Cost Optimization → Performance Efficiency, Reliability.
We determine whether system behavior is observable in sufficient detail to troubleshoot issues efficiently.
Our experts review reliability targets and operational guardrails, ensuring alerting is actionable rather than noisy.
We check alignment across teams and environments to ensure shared situational awareness.
We evaluate how incidents are handled, documented, and communicated. Strong response workflows reduce downtime and recovery time.
WAF pillars (primary → secondary): Operational Excellence → Reliability, Performance Efficiency.
We review how code is organized and how teams collaborate in Git. Clear workflows reduce merge conflicts and improve delivery cadence.
The team of DevOps experts assesses automation coverage, build reproducibility, and deployment consistency.
We review how releases are tracked and rolled back. Consistent versioning improves traceability and stability.
CIGen engineers evaluate review policies, quality gates, and pre-merge automation. Good review practices reduce defects and improve maintainability.
WAF pillars (primary → secondary): Operational Excellence → Security, Reliability.
Our certified developers evaluate structural and stylistic consistency. Maintainable code accelerates future development.
We locate areas that pose high change-risk or slow delivery velocity. Prioritizing these provides significant long-term benefit.
CIGen's QA experts check test coverage and how tests are integrated into pipelines. Strong testing reduces regressions and deployment anxiety.
We estimate potential cost savings and model expected returns from recommended actions to support budgeting and prioritization.
WAF pillars (primary → secondary): Operational Excellence → Reliability, Performance Efficiency.
Is your system hard and/or costly to operate, maintain and scale?
A targeted technical audit provides a clear, evidence-based understanding of what needs to be improved, and how to approach it with minimal disruption.
Use cases: when a technical software audit delivers the most value
Organizations typically conduct a system audit when they are planning a change: scaling teams, introducing new capabilities, or preparing to modernize existing architecture. A structured audit provides a clear, evidence-based understanding of the current system state and the most efficient path forward.
Agents can also coordinate supply chain processes, ensuring raw materials are available exactly when needed, reducing waste and operational costs.
Multi-agent systems even coordinate across carriers, enabling more resilient, adaptive supply chains.
This helps retailers cut overstocking costs while increasing customer satisfaction through more relevant offers.
With Azure integration, agents pull insights from customer data to improve targeting and maximize campaign ROI.
The audit identifies viable AI use cases, evaluates technical fit, and outlines prerequisites for implementation, from data pipelines to compliance considerations.
Clients about our cooperation
See what our clients say about the way our team helped them leverage their business potential.
Optional add-on sprints & implementation support
Some organizations choose to continue beyond the audit to address high-priority improvements right away.
Our optional add-on engagements provide focused, short-duration support to translate audit recommendations into actionable next steps.
Each add-on is delivered with clear scope, defined outcomes, and minimal disruption to current operations.
We perform targeted adjustments to cloud configurations based on audit findingsб including rightsizing, storage tiering, autoscaling policies, and resource lifecycle management.
This sprint aims to unlock quick cost reductions while maintaining system performance and reliability.Poorly structured or siloed data can limit agent performance.
We translate code quality and architectural insights from the audit into a structured refactoring plan with defined sequencing, effort estimates, and risk considerations.
This helps teams focus engineering time where it has the highest long-term impact.Many enterprises struggle to connect AI agents with older applications.
We assist in improving or establishing continuous integration and delivery workflows, including pipeline design, build reproducibility, quality gates, and automated deployment practices.
The goal is to enhance consistency, reduce manual effort, and improve release stability.
We develop an architecture blueprint tailored to your modernization goals, whether adopting modular monolith approaches, container orchestration, microservices, or event-driven patterns.
This provides a clear, phased modernization direction grounded in your current system state and constraints.
For those not sure which modules serve your unique business case best, we have created this cheat-sheet.

Audit delivery process blueprint
A system audit is carried out in a structured, transparent sequence. This ensures minimal disruption, secure access handling, and clear communication throughout. Each stage produces defined outputs that lead toward a consolidated audit report and prioritized improvement roadmap.
Clarify goals, pain points, constraints, and expected outcomes. This ensures the audit focuses only on relevant modules and avoids unnecessary analysis.
We establish secure read-only access and collect existing documentation, architecture diagrams, and relevant environment details. Access is strictly limited to assessment; no changes are made to systems.
We review codebases, architecture, cloud environments, CI/CD pipelines, logs, and operational workflows. Automated tooling and manual inspection are combined to ensure accuracy.
We speak with key engineers and leads to understand context, workflows, and historical technical decisions. This supplements evidence with practical insight into system behavior and constraints.
All observations, diagrams, maturity scores, and risks are synthesized into structured module-based outputs. Each issue is supported by evidence and mapped to potential actions.
We deliver a unified audit report including module sections, prioritized recommendations, and modernization or optimization paths. The roadmap ranks initiatives by effort, impact, and dependencies.
We walk through the report with all stakeholders, clarify decisions, and agree on next steps. Optional follow-up add-ons are defined only if needed.
Special 2-day modernization readiness workshop for Elmia Subcontractor participants
The goal of this 2-day modernization readiness workshop is to map the current system and business context and identify key modernization opportunities.
Deliverables includes a Modernization readiness summary with the following components:
- High-level architecture map
- Maturity snapshot across 5 pillars
- Top 3–5 improvement opportunities
- Short-/mid-term roadmap visualization
- Recommended next steps for optional deep-dive audits
1. Agenda: Kick-off & Alignment
Define workshop goals, success criteria, and deliverables.
2. Business & System Overview
Discuss system purpose, main users, business value, and constraints.
3. Architecture & Infrastructure Mapping
Whiteboard-style mapping of major services, integrations, and data flows.
Identify pain points: scalability, maintainability, deployment, monitoring.
4. Team & Operations Snapshot
Review CI/CD, environment setup, and DevOps practices.
Capture gaps in documentation, process consistency, or visibility.
5. AI & Data Readiness Brainstorm
Identify data sources, decision-making bottlenecks.
Explore potential for AI/LLM augmentation (e.g., automation, analytics).
1. Agenda: Maturity self-assessment
Guided evaluation across five pillars: Reliability, Security, Operational Excellence, Performance, Efficiency, Cost Optimization .
2. Opportunity mapping
Identify “quick wins” (low-effort, high-impact) and strategic initiatives.
Group findings by business value and implementation complexity.
3. Preliminary modernization roadmap
Visualize short- and mid-term improvement plan.
Define next steps for optional deep-dive audit modules (e.g., code quality, infra, AI integration).
4. Wrap-up & executive readout
Present summary of insights and recommendations.
Q&A and next-phase proposal discussion.
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