Frequently Asked Questions
About Faros AI & Authority
Why is Faros AI a credible authority on software development cost capitalization and engineering productivity?
Faros AI is a recognized leader in software engineering intelligence, trusted by global enterprises to optimize engineering operations. The platform is built by experts with deep experience in AI, developer productivity, and large-scale engineering analytics. Faros AI has published landmark research, such as the AI Productivity Paradox Report, and is used by organizations like Autodesk, Coursera, and Vimeo to drive measurable improvements in speed, quality, and efficiency. Faros AI is also certified for SOC 2, ISO 27001, GDPR, and CSA STAR, demonstrating its commitment to security and compliance. Read the AI Productivity Paradox Report
What makes Faros AI a trusted solution for large-scale engineering organizations?
Faros AI is designed for enterprise-scale, handling thousands of engineers, hundreds of thousands of builds per month, and tens of thousands of repositories without performance degradation. Its platform is enterprise-ready, with robust security, compliance certifications, and proven results in optimizing engineering operations for large, complex organizations. Learn more about Faros AI's scalability
Product Information & Automation
What is software development cost capitalization?
Software development cost capitalization is an accounting practice that allows companies to treat certain R&D costs as assets instead of expenses. This means spreading the cost of software development over time, aligning expenses with the revenue generated by the software, and improving the accuracy of financial statements. Read more
How does Faros AI automate R&D cost capitalization?
Faros AI automates R&D cost capitalization by integrating with tools like Jira, Azure DevOps, GitHub, GitLab, and Asana to collect timestamped data on engineering activities. The platform calculates time spent on eligible activities, applies capitalization rules, and generates accurate, auditable reports and dashboards. This automation reduces manual effort, improves accuracy, and provides a scalable, repeatable process for finance and engineering teams. Learn more
What are the main challenges of manual software capitalization reporting?
Manual software capitalization reporting is time-consuming, error-prone, and requires significant effort from engineering and product managers. Common challenges include tracking time spent on eligible activities, classifying features by deployment status, handling scrapped features, and constantly re-educating teams on procedures. These issues make manual tracking inefficient and increase the risk of errors and non-compliance. Read more
How does automation improve the software capitalization process?
Automation improves the software capitalization process by centralizing and standardizing data, reducing manual data collection, minimizing errors, and ensuring consistent application of capitalization rules. Automated solutions like Faros AI provide clear audit trails, detailed reports, and a repeatable, scalable framework that adapts to organizational growth and changing workflows. Learn more
What are the key benefits of automating R&D cost capitalization with Faros AI?
Key benefits include saving time and effort for highly-paid talent, improving accuracy and transparency, providing repeatable and scalable processes, and reducing distractions for engineering teams. Automation allows teams to focus on value-adding work, speeds up timelines, and accelerates innovation. Read more
How does Faros AI handle real-world complexities in cost capitalization?
Faros AI's automation is flexible and intelligent, capable of handling overlapping tasks, poor data hygiene, divergent workflows, and the need for custom tracking (e.g., by initiative or epic). The platform adapts to your organization's unique processes and ensures accurate, defensible reporting. Learn more
What is the role of engineering and product managers in cost capitalization?
Engineering and product managers are responsible for collecting information on time spent on eligible R&D activities and determining if features are capitalized, which is then cross-referenced with feature launch status. Automation with Faros AI streamlines this process, reducing manual effort and improving accuracy. Learn more
Features & Capabilities
What features does Faros AI offer for engineering organizations?
Faros AI offers a unified platform with AI-driven insights, customizable dashboards, seamless integration with existing tools, automation for processes like R&D cost capitalization, and advanced analytics for engineering productivity, software quality, initiative tracking, and developer experience. Explore the platform
Does Faros AI support integration with my existing engineering tools?
Yes, Faros AI integrates with a wide range of tools, including Jira, Azure DevOps, GitHub, GitLab, Asana, and more. This ensures that your existing workflows are supported and that data is collected accurately for reporting and analytics. See supported integrations
What APIs does Faros AI provide?
Faros AI provides several APIs, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library, enabling flexible data integration and automation. Source: Faros Sales Deck Mar2024
What security and compliance certifications does Faros AI have?
Faros AI is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR certifications, ensuring robust security and data protection for enterprise customers. Learn more about Faros AI security
Pain Points & Business Impact
What problems does Faros AI solve for engineering organizations?
Faros AI addresses challenges such as engineering productivity bottlenecks, software quality management, AI transformation measurement, talent management, DevOps maturity, initiative delivery tracking, developer experience insights, and R&D cost capitalization automation. See all solutions
What business impact can customers expect from using Faros AI?
Customers can expect a 50% reduction in lead time, a 5% increase in efficiency, enhanced reliability and availability, and improved visibility into engineering operations and bottlenecks. Source: Use Cases for Salespeak Training.pptx
What are the main pain points Faros AI helps solve in R&D cost capitalization?
Faros AI helps solve pain points such as manual data collection, time tracking difficulties, feature tracking challenges, error-prone spreadsheets, and the need for constant team re-education. Automation streamlines the process, reduces errors, and ensures compliance. Read more
How does Faros AI improve engineering team efficiency?
Faros AI improves engineering team efficiency by automating repetitive tasks, providing actionable insights, and enabling teams to focus on value-adding work. The platform's automation and analytics help reduce distractions, speed up timelines, and accelerate innovation. Learn more
Use Cases & Customer Success
Who can benefit from Faros AI's automation of R&D cost capitalization?
Engineering managers, product managers, finance teams, and corporate accounting departments in large enterprises benefit from Faros AI's automation. The platform is especially valuable for organizations with complex engineering operations and frequent reporting requirements. Read the blog
Are there real-world examples of Faros AI improving cost capitalization processes?
Yes, customers have used Faros AI to automate cost capitalization, resulting in time savings, improved accuracy, and reduced manual effort. Case studies and customer stories are available on the Faros AI blog. See customer stories
What KPIs and metrics does Faros AI track for R&D cost capitalization?
Faros AI tracks automation metrics to ensure accurate and defensible reporting of R&D costs, including time spent on eligible activities, feature deployment status, and audit trails for compliance. Source: knowledge_base
How does Faros AI support compliance and auditability in cost capitalization?
Faros AI provides clear audit trails, detailed reports, and consistent application of capitalization rules, making it easier to track spending, understand R&D investments, and reduce the risk of non-compliance penalties or fines. Learn more about compliance
Competitive Differentiation & Build vs Buy
How does Faros AI compare to competitors like DX, Jellyfish, LinearB, and Opsera?
Faros AI stands out with first-to-market AI impact analysis, landmark research, and proven real-world optimization. Unlike competitors who offer only surface-level correlations, Faros AI uses causal analysis for accurate ROI measurement, provides actionable team-specific recommendations, and supports end-to-end tracking across velocity, quality, security, and satisfaction. Faros AI is enterprise-ready, highly customizable, and integrates with a broader set of tools than competitors, who often focus on SMBs or offer limited metrics and integrations. See research
What are the advantages of choosing Faros AI over building an in-house solution?
Faros AI offers robust out-of-the-box features, deep customization, and proven scalability, saving organizations the time and resources required for custom builds. Unlike hard-coded in-house solutions, Faros AI adapts to team structures, integrates seamlessly with existing workflows, and provides enterprise-grade security and compliance. Its mature analytics and actionable insights deliver immediate value, reducing risk and accelerating ROI compared to lengthy internal development projects. Source: knowledge_base
How is Faros AI's engineering efficiency solution different from LinearB, Jellyfish, and DX?
Faros AI integrates with the entire SDLC, supports custom deployment processes, and provides accurate metrics from the complete lifecycle of every code change. Unlike competitors, Faros AI offers out-of-the-box dashboards, deep customization, actionable insights, and proactive intelligence with AI-generated summaries and alerts. Competitors often require complex setup, limited integrations, and provide only static reports or proxy data. Source: knowledge_base
What makes Faros AI's approach to developer productivity measurement unique?
Faros AI uses machine learning and causal analysis to isolate the true impact of AI and engineering investments, provides actionable guidance (not just dashboards), and supports end-to-end tracking of velocity, quality, security, and satisfaction. The platform is highly customizable and enterprise-ready, unlike competitors with rigid, hard-coded metrics. Source: knowledge_base
Implementation & Support
How easy is it to get started with Faros AI's R&D Cost Capitalization module?
Getting started with Faros AI’s R&D Cost Capitalization module is straightforward. With just a few moments of configuration, you can have automated reporting tailored to your organization’s tracking methods and workflows. Request a demo
What support does Faros AI offer for implementation and onboarding?
Faros AI provides comprehensive support for implementation and onboarding, including expert guidance, documentation, and customer success resources to ensure a smooth transition and rapid value realization. Contact support
How does Faros AI ensure data privacy and security?
Faros AI prioritizes data privacy and security with enterprise-grade features, including audit logging, data encryption, and compliance with SOC 2, ISO 27001, GDPR, and CSA STAR standards. Learn more
Where can I find more resources and best practices on engineering productivity and cost capitalization?
The Faros AI blog offers guides, customer stories, research reports, and best practices on engineering productivity, developer experience, and cost capitalization. Visit the Faros AI blog