Is the technology capable of supporting the investment thesis or growth plan?
Assurance
Audit the system, not just the component.
Technology risk rarely sits in one component. It emerges through the interaction of architecture, infrastructure, delivery practices, organisational design, security and commercial constraints.
Novelleq establishes an independent, evidence-led view of that system. We separate material risk from accumulated noise, connect findings to business consequence and give decision-makers a practical basis for action.
The work is designed for executive use without losing technical depth. Every conclusion can be traced to evidence, assumptions remain visible and remediation priorities reflect value, urgency and feasibility.
Which risks are material now, and which can be accepted or sequenced?
Where is technical debt constraining reliability, delivery or valuation?
What must change before a transaction, migration or transformation proceeds?
Common audit and due diligence work.
The audit pattern is selected around the decision being made. A transaction needs different evidence than a vendor dispute, a cloud review or a software integration failure, but the method always preserves traceability from technical fact to business consequence.
Software architecture audit
Assessment of system boundaries, modularity, scalability, resilience, maintainability, technical debt and architectural decisions that may constrain growth or change.
Codebase and engineering quality audit
Targeted repository review covering code structure, testing strategy, dependency risk, build health, release discipline, maintainability and the quality controls used by the team.
Software integration audit
Review of APIs, event flows, data contracts, message queues, batch interfaces, identity propagation, failure handling and ownership across integrated systems.
External vendor delivery audit
Independent examination of technology services delivered by external vendors to large organisations, including obligations, acceptance evidence, service quality, access, security and practical control levers.
Infrastructure and cloud audit
Assessment of cloud, hybrid or on-premise environments across topology, security configuration, resilience, observability, capacity, cost drivers and operational ownership.
Investment and M&A technology due diligence
Buy-side or sell-side diligence that tests the technology narrative against architecture, product, delivery, security, people, data, suppliers and forward investment needs.
A whole-system view of technology risk.
The assessment follows the relationships between the product, architecture, infrastructure, data, delivery organisation and commercial commitments. This avoids treating symptoms in isolation or overstating issues that have limited business consequence.
Product & architecture
System boundaries, critical flows, architectural fitness, scalability, integration patterns, product roadmap alignment and constraints created by legacy decisions.
Engineering & delivery
Planning reliability, development flow, test strategy, release controls, production feedback, delivery dependencies and the organisation's ability to change safely.
Infrastructure, data & security
Operational architecture, resilience, environments, observability, access, data stewardship, recovery assumptions and the exposure created by third parties.
Organisation & economics
Leadership capacity, decision rights, team structure, critical-person risk, suppliers, investment history, cost drivers and the credibility of forward plans.
What the engagement can cover.
Scope is proportionate to the decision and designed around the evidence needed to move.
- 01Software architecture and codebase assessment
Evaluate system boundaries, maintainability, scalability, testability and dependency risk using documented evidence and targeted technical review.
- 02Infrastructure and cloud assessment
Review topology, resilience, security controls, capacity, observability, cost drivers and operational ownership across cloud, on-premise and hybrid estates.
- 03Delivery and deployment audit
Assess engineering flow from planning to production, including quality gates, release controls, environments, CI/CD and change-failure risk.
- 04Technology due diligence for investment and M&A
Test the technology narrative against architecture, people, delivery, security, data and operating evidence, then translate findings into transaction implications.
- 05Engineering organisation review
Examine decision rights, leadership capacity, team topology, critical-person dependencies, supplier exposure and the ability to execute the roadmap.
- 06Remediation and investment roadmap
Convert findings into sequenced actions, ownership and decision gates instead of leaving leadership with an undifferentiated issue register.
Methods and tooling.
Novelleq uses recognised frameworks where they improve the quality of evidence, but avoids turning an audit into a generic checklist. Tooling is selected according to access, risk and the system under review.
Methodologies
- 01Technical due diligence evidence model
Evidence is captured against the investment thesis or executive decision, with explicit materiality thresholds, assumptions, confidence levels and remediation consequences.
- 02C4 and dependency mapping
System context, containers, components, deployment topology, data flows and third-party dependencies are mapped at the level required to explain risk and change impact.
- 03Secure software assurance
Where relevant, review draws from OWASP ASVS, OWASP SAMM, NIST SSDF and threat-modelling practices to assess how security is designed, built and governed.
- 04Delivery and operability assessment
Engineering flow is examined through planning evidence, CI/CD, release history, incident learning, DORA-style delivery signals and production feedback.
Evidence & tooling
- 01Repository and code analysis
Review may include Git history, build pipelines, automated test evidence, CodeQL, Semgrep, SonarQube or equivalent static-analysis and maintainability signals.
- 02Dependency and supply-chain review
Software composition, SBOM, container and dependency evidence can be assessed through tools such as Snyk, Dependabot, OSV, Trivy and CycloneDX-compatible outputs.
- 03Cloud and infrastructure evidence
Cloud-native inventories, Terraform or other IaC repositories, configuration exports, policy-as-code results and observability data are used where access permits.
- 04Delivery-system telemetry
Jira, Azure DevOps, GitHub, GitLab, CI/CD, monitoring and incident-management evidence is analysed to compare progress claims with observable delivery behaviour.
Evidence is collected, tested and translated for the decision forum.
The method is proportionate to the transaction or decision. It protects technical depth while maintaining a concise line of sight to value, risk and action.
- 01
Frame the decision
Agree the investment thesis, transformation objective, materiality thresholds, scope boundaries, stakeholders and the questions the work must answer.
- 02
Examine the evidence
Review artefacts, systems and operating data; interview accountable leaders and specialists; and test claims through targeted technical inspection.
- 03
Triangulate findings
Compare technical evidence, observed operating behaviour and management narrative. Record uncertainty rather than presenting assumptions as fact.
- 04
Make the path actionable
Prioritise consequences, define options, establish remediation ownership and give the board, investment committee or executive team a defensible decision brief.
When leadership brings us in.
- An investment or acquisition requires an independent technology view
- Delivery performance no longer matches business expectations
- A major modernisation programme needs a credible starting point
- Leadership needs to distinguish material risk from technical noise
What the work produces.
- Executive risk narrative and decision brief
- Evidence register with prioritised findings
- Architecture, infrastructure and delivery assessment
- Pragmatic remediation and investment roadmap
- Management readout and technical working sessions
Focused assessment of a defined system or programme
Enterprise-wide technology audit
Buy-side or sell-side technology due diligence
Post-transaction validation and remediation planning
Engagement shape, governance and team composition are agreed only after the decision context, constraints and required evidence are understood.
Practical questions before an engagement begins.
Scope, independence, access and responsibilities are resolved before work starts so the mandate can produce decision-ready evidence.
01How technical is the assessment?
Technical depth follows the risk. A review may include architecture and repository analysis, infrastructure configuration, delivery evidence, operational telemetry and targeted sampling. Executive reporting remains concise, while the supporting evidence is retained for technical teams.
02Can the work support an investment or acquisition timeline?
Yes, when scope and access are established early. The mandate is structured around the decision timetable, with material findings surfaced as they are validated rather than held until a final presentation.
03What happens after the report?
The work can end with an independent decision brief or continue into remediation planning, post-transaction validation, programme assurance or accountable delivery. Any continuation is separately scoped so independence and ownership remain clear.
A useful audit does more than describe the present. It gives leadership a defensible basis for the next decision.Discuss a priority