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.

Request an audit report outline

Why conduct a technical software audit?

Identify hidden technical risks

Detect outdated dependencies, fragile integrations, and code-level issues before they cause outages or escalate into major failures.

Improve scalability & performance

Reveal architectural bottlenecks, inefficient data flows, and resource overuse to enable smoother scaling and faster response times.

Reduce operational & cloud costs

Analyze infrastructure usage and configuration to uncover cost-saving opportunities across compute, storage, and network resources.

Ensure security & compliance

Validate access control, data protection, and configuration practices against standards such as GDPR, ISO, or HIPAA.

Streamline development & delivery

Assess repository structure, CI/CD pipelines, and documentation to improve consistency, maintainability, and team productivity.

Prepare to modernize & adopt AI

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.

Our certified engineers evaluate the clarity, accuracy, and accessibility of the project’s technical knowledge base. This ensures the system can be maintained and scaled without reliance on individual contributors.
API and architecture documentation

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.

Code-level documentation and comments

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.

Knowledge-sharing and onboarding materials

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.

Version alignment and documentation governance

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.

Deliverable: Documentation assessment report with update plan and standardization recommendations.

WAF pillars (primary → secondary): Operational Excellence → Reliability, Security.
We assess how the system is structured, how well components interact, and whether the architecture can support growth, resilience, and modernization.
High-level architecture and service boundaries

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.

Domain-driven design alignment

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.

Scalability, fault tolerance, and data flow

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.

Migration path to modern architecture

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.

Deliverable: Verified or newly created architecture diagrams, with modernization roadmap (if applicable) and risk assessment.

WAF pillars (primary → secondary): Reliability → Performance Efficiency.
This audit module traces how services, data, and external systems communicate to identify reliability risks and dependency complexity.
Synchronous and asynchronous communication flows

Experts map call chains, queue usage, and event propagation between services. Understanding these flows helps reveal latency hotspots and reliability risks.

API and service dependency inventory

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.

Event-driven architecture review

We evaluate whether eventing patterns are consistent and well-defined, including message schemas, routing, and idempotency. Clear event models support scalability and system observability.

Fault handling and retry logic

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.

Deliverable: Communication diagram with risk map (bottlenecks) and suggestions for improving reliability and isolation.

WAF pillars (primary → secondary): Reliability → Operational Excellence, Performance Efficiency.
We analyze whether the infrastructure supports stability, performance, resilience, and cost efficiency across cloud or hybrid environments.
Infrastructure-as-Code practices

DevOps experts evaluate Terraform / Bicep / ARM / CloudFormation templates, parameterization, modularity, and provisioning workflows. Strong IaC practices reduce configuration drift and improve environment reproducibility.

Networking and environment isolation

We review network segmentation, service boundaries, VPC/VNet structure, firewalling, and traffic controls. Proper isolation limits blast radius and improves compliance posture.

Cloud utilization and scaling efficiency

Analysis of compute, storage, and networking usage patterns to determine whether resources align with workload needs. This reveals both cost inefficiencies and performance constraints.

Backup, disaster recovery, and resilience

CIGen specialists assess backup frequency, retention, restoration processes, and system failover behavior. A resilient system must tolerate outages without impacting critical operations.

Deliverable: Infrastructure health report with modernization roadmap, migration plan (where applicable), and cost optimization suggestions.

WAF pillars (primary → secondary): Reliability → Cost Optimization, Performance Efficiency.
AI-savvy engineers evaluate how prepared the system is to adopt AI or LLM-powered workflows based on data structure, interfaces, governance, and workload requirements.
AI use case identification

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.

Architecture compatibility for AI services

Review of the API structures, data accessibility, and processing pipelines to evaluate whether AI services can be integrated with minimal restructuring.

Governance, privacy, and compliance considerations

We check data permissions, retention, access models, and regulatory constraints to ensure responsible AI deployment aligned with legal and organizational policy.

Infrastructure and performance requirements

We assess compute, storage, and observability baselines needed for inference workloads or model hosting. This ensures system readiness before implementation effort begins.

Deliverable: A dedicated AI Readiness Report, including maturity score, proposed AI integration roadmap, recommended tech stack, risk and compliance checklist for responsible AI adoption.

WAF pillars (primary → secondary): Performance Efficiency → Security, Operational Excellence.
CIGen engineers ensure the system follows modern security controls and regulatory expectations, reducing exposure to vulnerabilities and compliance risks.
Identity and access management

We review IAM/RBAC configurations, privilege scoping, and credential lifecycle. Clear access control reduces the risk of unauthorized entry or privilege escalation.

Secrets and dependency security

Assessment of secret storage, secret rotation, and library vulnerability exposure. Strong controls protect sensitive data and prevent supply-chain risk.

Network and data protection controls

We verify encryption, segmentation, ingress/egress rules, and data residency. Ensuring data protection safeguards operations and compliance.

Security policy alignment and audit readiness

Our compliance experts check practices against relevant standards (GDPR, HIPAA, ISO or internal policies). This helps prepare for certification or compliance review processes.

Deliverable: Security posture report with prioritized action plan and quick-win checklist.

WAF pillars (primary → secondary): Security → Operational Excellence, Reliability.
This module aims to identify where the system consumes more resources than required and where performance can be enhanced without architectural overhaul.
Cloud spend and utilization analysis

Our cloud consultants model actual usage patterns against provisioned capacity. This identifies over-allocation, misconfigured scaling, and cost inefficiencies.

Performance bottleneck investigation

We examine service latency, I/O pressure, query execution patterns, and concurrency behavior to locate throughput constraints.

Optimization levers across compute, storage, caching, and networking

The Cloud Cost Optimization experts recommend targeted optimizations that improve performance without redesigning core systems.

Savings and ROI forecasting

We estimate potential cost savings and model expected returns from recommended actions to support budgeting and prioritization.

Deliverable: Cost efficiency report with potential savings breakdown and ROI forecast for recommended optimizations.

WAF pillars (primary → secondary): Cost Optimization → Performance Efficiency, Reliability.
In this audit module effectiveness of your monitoring and diagnostics is assessed, and if incident response capabilities are at supporting stable operation.
Logging, metrics, and tracing coverage

We determine whether system behavior is observable in sufficient detail to troubleshoot issues efficiently.

SLOs, SLAs, and alert rules

Our experts review reliability targets and operational guardrails, ensuring alerting is actionable rather than noisy.

Monitoring platform and toolchain consistency

We check alignment across teams and environments to ensure shared situational awareness.

Incident diagnosis and escalation workflows

We evaluate how incidents are handled, documented, and communicated. Strong response workflows reduce downtime and recovery time.

Deliverable: Operational readiness report with observability gap analysis and best-practice alignment roadmap.

WAF pillars (primary → secondary): Operational Excellence → Reliability, Performance Efficiency.
Evaluation of version control practices, branching strategies, and CI/CD maturity to ensure consistency and productivity in delivery.
Repository layout and branching workflows

We review how code is organized and how teams collaborate in Git. Clear workflows reduce merge conflicts and improve delivery cadence.

CI/CD pipeline design and reliability

The team of DevOps experts assesses automation coverage, build reproducibility, and deployment consistency.

Versioning, tagging, and release management

We review how releases are tracked and rolled back. Consistent versioning improves traceability and stability.

Code review and automation practices

CIGen engineers evaluate review policies, quality gates, and pre-merge automation. Good review practices reduce defects and improve maintainability.

Deliverable: Report with current state analysis, maturity score, and improvement recommendations.

WAF pillars (primary → secondary): Operational Excellence → Security, Reliability.
This module aims to examine code clarity, structure, test coverage, and adherence to established standards to ensure maintainability and long-term evolution.
Standards, patterns, and SOLID adherence

Our certified developers evaluate structural and stylistic consistency. Maintainable code accelerates future development.

Technical debt and legacy hotspot identification

We locate areas that pose high change-risk or slow delivery velocity. Prioritizing these provides significant long-term benefit.

Unit testing depth and CI integration

CIGen's QA experts check test coverage and how tests are integrated into pipelines. Strong testing reduces regressions and deployment anxiety.

Static analysis and refactoring opportunities

We estimate potential cost savings and model expected returns from recommended actions to support budgeting and prioritization.

Deliverable: Per-repository audit sheet with recommendations for modernization, refactoring strategy, and code health assessment.

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.

Schedule an intro call

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.

AI agents in manufacturing monitor equipment, predict maintenance needs, and optimize production workflows. They act as digital supervisors, using sensor data to detect anomalies, plan repairs, and minimize downtime.

Agents can also coordinate supply chain processes, ensuring raw materials are available exactly when needed, reducing waste and operational costs.
In logistics, agents optimize route planning, monitor fleet health, and handle exception management in real time. By integrating with Azure Cognitive Search and RAG pipelines, they provide instant decision support to dispatchers.

Multi-agent systems even coordinate across carriers, enabling more resilient, adaptive supply chains.
AI agents in the retail industry help personalize shopping experiences by analyzing customer data and recommending products in real time. They also manage stock levels, forecast demand, and optimize promotions.

This helps retailers cut overstocking costs while increasing customer satisfaction through more relevant offers.
Agents accelerate campaign management by generating tailored content, automating A/B testing, and monitoring engagement in real time. They help teams focus on strategy while handling execution details.

With Azure integration, agents pull insights from customer data to improve targeting and maximize campaign ROI.
Integrating AI or LLM-based automation requires readiness across data access, architecture, and governance.

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.

Cloud Cost Optimization sprint

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.

Refactoring strategy & prioritization session

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.

CI/CD pipeline implementation support

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.

Modernization architecture design (Azure / AWS)

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.

Download a full modular tech audit framework with predefined packages
Choices can be tough. Specifically those concerning highly technical multi-dimensional complex issues.

For those not sure which modules serve your unique business case best, we have created this cheat-sheet.
Download instantly

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.

Intro call & scope

Clarify goals, pain points, constraints, and expected outcomes. This ensures the audit focuses only on relevant modules and avoids unnecessary analysis.

Access & documentation exchange

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.

System & code analysis

We review codebases, architecture, cloud environments, CI/CD pipelines, logs, and operational workflows. Automated tooling and manual inspection are combined to ensure accuracy.

Stakeholder interviews

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.

Findings consolidation

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.

Audit report & roadmap

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.

Review workshop

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 workshopis 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

Goal: Build a shared understanding of the current system, pain points, and priorities.

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). 
Goal: Transform insights into actionable priorities. 

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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