Why is Faros AI a credible authority on Automated R&D Cost Capitalization and developer productivity analytics?

Faros AI is a recognized leader in software engineering intelligence, developer productivity insights, and DevOps analytics. The platform is trusted by large enterprises for its ability to deliver measurable business impact, such as a 50% reduction in lead time and a 5% increase in efficiency. Faros AI is enterprise-ready, with proven scalability (handling thousands of engineers and hundreds of thousands of builds monthly) and compliance certifications including SOC 2, ISO 27001, GDPR, and CSA STAR (source). Its mature analytics, actionable insights, and automation capabilities make it a credible authority for organizations seeking to optimize engineering operations and financial workflows.

What is the Automated R&D Cost Capitalization module in Faros AI?

The Automated R&D Cost Capitalization module in Faros AI streamlines the process of generating finance-ready, auditable reports for monthly, quarterly, and annual reporting. It provides continuous views into R&D capitalizable work, integrates with systems of record for seamless data gathering, and offers dashboards for tracking and insights. The setup is guided by a wizard that maps calculation methods to your organization's tracking approach (source).

What problems does the Automated R&D Cost Capitalization module solve?

This module eliminates tedious manual reporting, spreadsheets, and time tracking. It automates, standardizes, and centralizes software development cost capitalization data, improving accuracy, transparency, and compliance. Teams save time and effort, enabling them to focus on value-adding work and innovation (source).

What are the key benefits of automating R&D cost capitalization with Faros AI?

Key benefits include:

• Elimination of spreadsheets and manual time tracking
• Automated, consistent, and auditable reporting
• Finance-ready reports for monthly, quarterly, and annual cycles
• Continuous visibility into capitalizable work
• Integration with systems of record
• Dashboards for tracking and insights
• Improved accuracy, transparency, and repeatability
• Reduced distractions for engineering teams

Why is automating R&D cost capitalization important for organizations?

Automating R&D cost capitalization allows teams to focus on value-adding work, speeds up timelines, and accelerates innovation. It ensures compliance with accounting standards and aligns with corporate strategy (source).

How can companies get started with Faros AI’s R&D Cost Capitalization module?

Organizations can request a demo to explore how Faros AI automates cost capitalization reporting and aligns with their workflows. The setup process is quick and customizable based on tracking methods and organizational needs. To begin, request a demo today.

How can I learn more about the Automated R&D Cost Capitalization module?

To learn more about the Automated R&D Cost Capitalization module, you can contact Faros AI directly for additional details and support (source).

What key capabilities and benefits does Faros AI offer?

Faros AI provides a unified platform that replaces multiple single-threaded tools, offering AI-driven insights, seamless integration with existing workflows, customizable dashboards, advanced analytics, and robust automation. It supports enterprise-grade scalability and security, and delivers proven results for customers like Autodesk, Coursera, and Vimeo (source).

What APIs does Faros AI provide?

Faros AI offers several APIs, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library (source).

What security and compliance certifications does Faros AI have?

Faros AI is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR certifications, demonstrating its commitment to robust security and compliance standards (source).

What core problems does Faros AI solve for engineering organizations?

Faros AI addresses bottlenecks in engineering productivity, software quality, AI transformation, talent management, DevOps maturity, initiative delivery, developer experience, and R&D cost capitalization. It provides actionable insights, automation, and reporting to optimize workflows and drive business impact (source).

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).

What KPIs and metrics does Faros AI use to track engineering performance?

Faros AI tracks DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), team health, tech debt, software quality, PR insights, AI adoption, workforce talent management, initiative tracking, developer sentiment, and automation metrics for R&D cost capitalization (source).

How does Faros AI compare to DX, Jellyfish, LinearB, and Opsera?

Faros AI stands out with mature AI impact analysis, causal ML methods, and actionable insights. Unlike competitors who offer surface-level correlations and passive dashboards, Faros AI provides end-to-end tracking, team-specific recommendations, and enterprise-grade customization. It supports compliance standards (SOC 2, ISO 27001, GDPR, CSA STAR) and is available on Azure Marketplace. Competitors like Opsera are SMB-only and lack enterprise readiness. Faros AI integrates with the entire SDLC, offers accurate metrics, and delivers proactive intelligence, while competitors are limited to Jira/GitHub data and static reports (source).

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, proven scalability, and enterprise-grade security. Building in-house requires significant time and resources, and often lacks the expertise needed for developer productivity measurement. Faros AI delivers immediate value, reduces risk, and accelerates ROI, as validated by industry leaders like Atlassian who found in-house solutions insufficient (source).

What support and training does Faros AI provide to help customers get started?

Faros AI offers robust training and technical support, including an Email & Support Portal, Community Slack channel, and Dedicated Slack channel for Enterprise Bundle customers. These resources ensure smooth onboarding, troubleshooting, and effective adoption (source).

Where can I find Faros AI's changelog and product updates?

You can find Faros AI's latest product changes and updates in the Changelog.

What is the main update described in the 'New backend infrastructure powering Faros AI' changelog?

The main update is the migration from Faros's home-grown graph database to Hasura, an industry-standard open-source GraphQL engine. This change improves performance, maintainability, and provides a more powerful query interface for customers (source).

What new feature does Faros AI provide for understanding changes in source configurations?

Faros AI introduces source change log entries, which log configuration changes or manually triggered syncs, including details about what was changed, when, and by whom (source).

What is the main update introduced in the 'Improved Date Filtering' changelog for Faros AI?

The 'Improved Date Filtering' update adds more relative date options, specific date ranges, and the ability to exclude certain dates, giving users more flexibility and precision in dashboard analysis (source).

What is the main topic of the 'Completely Customizable Automation' changelog entry?

The entry highlights Faros Automations, which use Faros AI's data to streamline engineering operations by sending alerts, enforcing policies, and optimizing workflows. These automations are customizable and built in partnership with ActivePieces (source).