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Detect outdated dependencies, fragile integrations, and code-level issues before they cause outages or escalate into major failures.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.
We review whether system and API-level documentation accurately reflects current implementation and dependencies.
Our team evaluates how clearly business workflows are captured and whether they align with real operational behavior.
We assess the structure and accessibility of internal knowledge resources to support efficient onboarding and collaboration.
Ensuring environments can be reproduced reliably, we verify setup steps, tooling alignment, and configuration consistency.
Identifying areas where essential system knowledge depends on individuals rather than shared documentation helps reduce continuity risk.
Our engineers examine whether delivery, deployment, and incident workflows are documented and consistently followed.
We confirm that documentation is maintained as the system evolves to prevent outdated guidance and operational drift.
WAF pillars (primary → secondary): Operational Excellence → Reliability, Security.
We determine how clearly responsibilities are separated across components and how services interact at a structural level.
Our experts analyze alignment between system structure and real business domains to reduce cross-domain coupling.
Evaluating load behavior and failure recovery helps ensure the architecture can scale predictably under growing demand.
We examine data models and transfer patterns to identify bottlenecks, duplication, or integrity risks.
The team outlines feasible architectural evolution paths that minimize risk while improving modularity and maintainability.
WAF pillars (primary → secondary): Reliability → Performance Efficiency.
We map interactions to reveal latency points, dependency chains, and communication overhead.
Our team inventories internal and external APIs to understand stability, ownership, and versioning exposure.
Evaluating event flow and message contracts ensures traceability, decoupling, and reliability in distributed systems.
We review resilience and backoff strategies to prevent cascading failures and inconsistent state propagation.
WAF pillars (primary → secondary): Reliability → Operational Excellence, Performance Efficiency.
Our engineers examine IaC structure, modularity, and version control to ensure reliable provisioning.
We analyze segmentation and failover patterns to minimize blast radius and improve reliability.
Identifying mismatches between resource allocation and workload demand helps optimize cost and performance.
We verify backup frequency, recovery time objectives, and scaling mechanisms for operational continuity.
WAF pillars (primary → secondary): Reliability → Cost Optimization, Performance Efficiency.
We highlight where AI can meaningfully enhance workflows, automation, or user experience.
Our team reviews data paths and API structures to determine technical readiness for AI integration.
Ensuring compliance, privacy controls, and auditability is essential before introducing AI into production workflows.
We assess compute, storage, and monitoring capabilities necessary for model serving or inference workloads.
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.
The audit maps dependencies, technical debt hotspots, and modernization risks to define a pragmatic, staged improvement path rather than a disruptive rewrite.
The audit evaluates scalability, service boundaries, operational resilience, and team delivery maturity to ensure the system can handle increased load and complexity.
The audit reveals where compute, storage, and networking resources are over- or under-utilized, offering prioritized recommendations with estimated savings and ROI.
The audit reviews documentation quality, CI/CD pipelines, observability maturity, and knowledge transfer practices to align delivery with current operational needs.
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.
They don’t just write code, they think through projects to make sure they find the best solution. Because of their thorough researching processes, their deliverables consistently exceed expectations.
Michael Rodriguez
CEO, InnovateTech Solutions
We are happy to share our thoughts on how professional, committed, and flexible CIGen is. The team we have worked with is always respectful and organized. Listening is one of their biggest strengths, as every time we present an idea for improvement we receive many suggestions for its realization.
Justas Beržinskas
Co-Founder at Kloogo
Working with the CIGen team is a rewarding and satisfying experience. Professionally, they are smart experts committed to understanding your needs and bringing to life what you are looking for. I think they are warm and welcoming people. I am looking forward to working again with the CIGen team.
Andreas Mildner
Co-Founder and Manager at GenieME
We have been working with CIGen for a few years. Our close cooperation brings significant value and result. They think from a business perspective, meet time-lines and budget. We have completed several projects and continue working together. Happy to recommend!
Michael Nilsson Pauli
CEO & Co-founder at Kodexe
The team addresses concerns promptly and generally completes tasks on time. Moreover, they pay close attention to the client’s needs. They work hard and take ownership of their tasks, resulting in a truly smooth collaboration.
Nandu Majeti
CTO at Rocktop Technologies
CIGen delivered a high-quality coded mobile app, which satisfied our requirements. They communicated daily and asked only relevant questions to identify the key to the project development. We were impressed with their expertise.
Alexander Schultz
CEO at Third Act
Thanks to CIGen, we reduced our technical debt and received ample support for their strategic technical initiatives. The team has a great project management approach and always aims to improve their partnership with us. Moreover, their members are proactive and highly skilled.
Karl Otto Aam
CTO at Skytech Control
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
Agenda:
1. 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).
Agenda:
1. 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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