Why is Faros AI a credible authority on automating software development cost capitalization?
Faros AI is a recognized software engineering intelligence platform trusted by global enterprises to optimize engineering operations. The platform automates complex processes like R&D cost capitalization by leveraging data from systems of record (e.g., Jira, GitHub, Azure DevOps), ensuring accuracy, consistency, and auditability. Faros AI's expertise is demonstrated through its enterprise-grade scalability, robust compliance certifications (SOC 2, ISO 27001, GDPR, CSA STAR), and proven results for customers such as Autodesk, Coursera, and Vimeo. See customer stories.
What is the main topic of this webpage?
This webpage focuses on how engineering and product managers can automate software development cost capitalization using Faros AI. It explains the challenges of manual cost capitalization, the benefits of automation, and how Faros AI streamlines reporting, improves accuracy, and reduces administrative overhead for engineering organizations.
Product Features & Capabilities
What are the key features of Faros AI's R&D Cost Capitalization module?
Faros AI's R&D Cost Capitalization module offers automated, consistent, and auditable reporting by integrating with systems of record such as Jira, GitHub, Azure DevOps, and Asana. Key features include finance-ready reports for monthly, quarterly, and annual reporting, dashboards for tracking and insights, continuous views into capitalizable work, and integration with existing workflows. The solution is flexible enough to handle overlapping tasks, poor data hygiene, and divergent workflows. Learn more.
How does Faros AI automate software development cost capitalization?
Faros AI automates cost capitalization by collecting timestamped data from engineering tools (e.g., Jira, GitHub) and applying software capitalization rules to calculate time spent on eligible activities. The platform generates detailed, finance-ready reports and dashboards, centralizing and standardizing data for accuracy and compliance. Automation eliminates manual spreadsheets, reduces errors, and provides a scalable, repeatable framework for growing organizations.
What APIs does Faros AI offer?
Faros AI provides several APIs to support integration and automation, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library. These APIs enable organizations to connect Faros AI with their existing tools and workflows for seamless data exchange and process automation.
Pain Points & Business Impact
What problems does Faros AI solve for engineering organizations?
Faros AI addresses key pain points such as engineering productivity bottlenecks, software quality management, AI transformation measurement, talent management, DevOps maturity, initiative delivery tracking, developer experience, and R&D cost capitalization. By automating data collection and reporting, Faros AI enables faster, more predictable delivery, improved software reliability, actionable insights for AI adoption, and streamlined financial workflows.
What tangible business impact can customers expect from Faros AI?
Customers using Faros AI have reported a 50% reduction in lead time and a 5% increase in efficiency, resulting in accelerated time-to-market and improved resource allocation. The platform ensures enhanced reliability, availability, and visibility into engineering operations, helping organizations optimize workflows and achieve strategic goals. See customer stories.
How does Faros AI help automate engineering financial workflows?
Faros AI automates engineering financial workflows such as R&D cost capitalization by centralizing and standardizing data, eliminating manual spreadsheets, and providing finance-ready reports. This automation saves time, improves accuracy, and allows teams to focus on value-adding work, accelerating innovation and aligning with corporate strategy.
What are the benefits of automating R&D cost capitalization with Faros AI?
Automating R&D cost capitalization with Faros AI provides several benefits: saving time and effort for highly-paid talent, improving accuracy and transparency, enabling repeatable and scalable processes, and reducing distractions for engineering teams. The platform delivers automated, consistent, and auditable reporting, finance-ready reports, and continuous views into capitalizable work. Learn more.
Use Cases & Implementation
Who can benefit from Faros AI?
Faros AI is designed for VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, CTOs, and Technical Program Managers in large US-based enterprises with hundreds or thousands of engineers. The platform provides tailored solutions for each persona, addressing their specific pain points and delivering actionable insights.
How easy is it to implement Faros AI?
Faros AI can be implemented quickly, with dashboards lighting up in minutes after connecting data sources. Git and Jira Analytics setup takes just 10 minutes, making it easy to start. Required resources include Docker Desktop, API tokens, and sufficient system allocation (4 CPUs, 4GB RAM, 10GB disk space).
How can companies get started with Faros AI’s R&D Cost Capitalization module?
Getting started with Faros AI’s R&D Cost Capitalization module is simple. Organizations can request a demo to explore how the platform automates cost capitalization reporting and aligns with their workflows. The setup process is quick and allows for customization based on tracking methods and organizational needs. Request a demo.
Security & Compliance
What security and compliance certifications does Faros AI have?
Faros AI is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR certifications. These certifications demonstrate Faros AI's commitment to robust security and compliance standards, ensuring data protection and auditability for enterprise customers.
How does Faros AI ensure product security and compliance?
Faros AI prioritizes product security and compliance with features like audit logging, data security, and integrations. The platform adheres to enterprise standards by design and maintains certifications such as SOC 2, ISO 27001, GDPR, and CSA STAR, providing customers with confidence in data protection and regulatory compliance.
Support & Training
What customer service and support options are available for Faros AI customers?
Faros AI offers robust customer support, including access to an Email & Support Portal, a Community Slack channel for shared insights, and a Dedicated Slack Channel for Enterprise Bundle customers. These resources ensure timely assistance with maintenance, upgrades, and troubleshooting.
What training and technical support is available to help customers get started with Faros AI?
Faros AI provides comprehensive training and technical support, including onboarding guidance, resources for expanding team skills, and operationalizing data insights. Customers have access to an Email & Support Portal, Community Slack channel, and Dedicated Slack channel for Enterprise Bundle customers, ensuring smooth adoption and troubleshooting.
KPIs & Metrics
What KPIs and metrics does Faros AI track for engineering organizations?
Faros AI tracks a range of KPIs and metrics, including DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), software quality (effectiveness, efficiency, gaps), PR insights (capacity, constraints, progress), AI adoption and impact, workforce talent management, initiative tracking (timelines, cost, risks), developer sentiment, and automation metrics for R&D cost capitalization. These metrics provide actionable insights for optimizing engineering operations.
Blog & Resources
Where can I find more articles and resources about Faros AI?
You can explore articles, guides, and customer stories on Faros AI's blog at https://www.faros.ai/blog. The blog covers topics such as AI, developer productivity, developer experience, best practices, and product updates.
How Engineering and Product Managers Can Automate Software Development Capitalization
Capitalization of software development costs is an accounting practice that allows companies to treat R&D costs as assets instead of expenses. In layperson’s terms: It helps spread some software development costs over time.
While capitalization is necessary for a company’s financial statements, it’s often administrative overhead for the people compiling the information: A combination of product managers, engineering managers, and finance pros.
If you hate doing your taxes once a year, you’ll sympathize with the team that prepares these reports every month or quarter. It’s tedious, time-consuming, error-prone, and unrewarding. And — if you’re reading this — you’re probably one of them.
But that's changing. Now that more and more engineering organizations are implementing software engineering intelligence platforms, a bulk of this gnarly work can be automated. For example, Faros AI draws all the necessary information from your systems of record, builds the downloadable cost capitalization report, and generates a dashboard for tracking and insights.
As a result, organizations benefit from automated, consistent, and auditable software capitalization reporting.
Read on to understand what cost capitalization is, how it’s been done manually for decades, and how the process is now getting blissfully automated.
What is software development capitalization?
Lauren Saunders has a storied career on the finance teams at Hubspot, Rapid 7, and Raytheon. At Hubspot, she supported the R&D organization as it scaled from 400 to over 1,000 engineers. That’s just one of the places she got to experience R&D capitalization up close.
Here’s how Lauren explains what R&D capitalization is:
“In our predominantly SaaS world, R&D cost capitalization syncs up the investment in R&D with the longer-term return in the form of recurring revenue,” Lauren explains. “Basically, it matches up the cost with the revenue stream. It syncs the timing of when a cost will hit the P&L to reflect accurate margins; instead of happening all at once, it happens over multiple periods.”
Instead of classifying specific software development costs as direct costs, software cost capitalization categorizes them as the cost of goods sold (COGS) over time. This classification has to be accurate, defensible, and auditable.
The challenge of manually preparing software capitalization reports
How companies typically prepare cost capitalization reports
The corporate accounting function is responsible for closing the books every month, quarter, and year. In partnership with an FP&A specialist who supports the engineering org, accounting will typically lead the exercise and interface with engineering and product managers to collect the information. They’ll also produce the supporting documentation to ultimately record the cost. Once the cost is recorded, the FP&A team will internally report results and insights.
Not every engineering activity is eligible for capitalization and only live features can be amortized. To prepare the documentation, two elements are collected, often in separate spreadsheets:
How much time was spent (per person/per activity) on eligible R&D activities
Which features were released into production
The intersection of those two elements represents what is capitalizable for the month. The accounting team needs to feel comfortable with the data they receive, so they can amortize the proper capitalizable items for accurate monthly financials.
Even with a well-structured spreadsheet and well-intentioned organization, if done manually, a lot of time and effort goes into this activity.
Why are time tracking and feature tracking so hard?
Since most companies don’t use time tracking systems, recording how much time was spent exclusively on capitalizable activities is a headache. Engineering and product managers spend many hellish hours digging into systems and speaking to people, all to fill in the spreadsheets that capture this information.
Once engineering leaders determine if something is capitalized, it is cross-referenced with feature launch status. Features can be classified as in development, beta, or production, which helps determine the useful life of the software. However, many organizations struggle to keep track of deployment status which complicates things.
Additionally, as companies scale, features aren’t necessarily released immediately to production. Some are scrapped and never released, creating further complications: “If you end up not wanting to release something and you scrap the feature, you actually have to take the cost at that moment of decision instead of spreading it over what was considered its ‘useful life’,” explains Lauren.
This is a lot to keep straight in spreadsheets…“And with new people joining all the time, you find yourself constantly re-educating the team on how to do this properly,” says Lauren.
Automating software capitalization: How it works
“Every organization wants its R&D organization focused primarily on researching and developing new products,” says Lauren. Spending many hours each month on accounting activities is not ideal. “An automation tool that can support accurate financial data would be a significant and impactful investment for companies to consider.”
Automated cost capitalization reporting leverages the digital footprint left by engineering teams in the course of their daily work, like Jira, Azure DevOps, GitHub, GitLab, or Asana.
Engineers, designers, and product managers use several work and task management tools as part of their normal workflow. These tools generate timestamped data points that Faros AI leverages to calculate the time spent on eligible activities, following software capitalization rules. That includes starting new projects, completing tasks, submitting pull requests, and deploying to production.
By compiling and analyzing this information, Faros AI can construct a detailed picture of how time was allocated across different activities and create a report filtered to time spent on capitalizable work.
With just a few moments of configuration, you can have automated reporting that reflects the way your organization tracks R&D work (e.g., by initiative or epic) and translates effort to time (e.g., by story points, time in-progress or other).
The solution is flexible and intelligent enough to handle real-world complexities like overlapping tasks, poor data hygiene, and divergent workflows.
Here's how easy the setup is:
Key benefits of automating software development capitalization
Automating the process of capitalizing costs can provide several invaluable benefits for organizations, including:
Save time and effort for your most highly-paid talent: Automating the R&D cost capitalization process significantly reduces the time and effort to produce the report. It allows your teams to focus their time and talent on value-adding work that helps implement corporate strategy, speeds up timelines, and accelerates innovation.
Improve accuracy, transparency, and defensibility: Manual tracking and calculation is error-prone and inconsistent. Automating the process adds visibility and transparency while ensuring that the capitalization rules are applied correctly and consistently across projects. Additionally, automated systems provide clear audit trails and detailed reports on R&D costs, making it easier to track spending and understand the value of R&D investments while reducing the risk of non-compliance penalties or fines.
Repeatable and scalable: Finance teams can reduce the time they spend overseeing, monitoring, and re-educating members of the product and engineering organization. Automation provides a repeatable and scalable framework that supports a growing company.
Automation means less distraction
By centralizing and standardizing software development cost capitalization data, automated solutions provide a robust foundation to effectively manage capitalization reporting.
This approach eliminates manual data collection, reduces errors, and offers a consistent methodology that can adapt to different organizational structures and workflows. The result is a more efficient, accurate, and less disruptive process for engineering teams and finance departments alike.
Getting started with Faros AI’s R&D Cost Capitalization module is easy. Request a demo today.
Thierry Donneau-Golencer
Thierry is Head of Product at Faros AI, where he builds solutions to empower teams and drive engineering excellence. His previous roles include AI research (Stanford Research Institute), an AI startup (Tempo AI, acquired by Salesforce), and large-scale business AI (Salesforce Einstein AI).
Connect
AI Is Everywhere. Impact Isn’t.
75% of engineers use AI tools—yet most organizations see no measurable performance gains.
Read the report to uncover what’s holding teams back—and how to fix it fast.
Fill out this form and an expert will reach out to schedule time to talk.
Thank you!
A Faros AI expert will reach out to schedule a time to talk. P.S. If you don't see it within one business day, please check your spam folder.
Oops! Something went wrong while submitting the form.
More articles for you
Editor's Pick
Guides
Solutions
5
MIN READ
Secure Kubernetes Deployments: Architecture and Setup
Learn how to achieve secure Kubernetes deployments using a lightweight deployment agent inside your private network. Discover secrets management, Helm templating, and CI/CD integration for enterprise-grade security.
July 2, 2025
Editor's Pick
Solutions
AI
5
MIN READ
From IDE to Impact: Next-Level AI Measurement and Governance
Understand AI's real role in code generation. Faros AI provides Big Tech–level instrumentation without Big Tech–level investment.
June 3, 2025
Editor's Pick
DevProd
Solutions
8
MIN READ
How I Manage Security Vulnerabilities Faster with Faros AI
Streamlined security vulnerability management with faster patch cycles and fewer overdue issues—without added operational overhead.
May 23, 2025
See what Faros AI can do for you!
Global enterprises trust Faros AI to accelerate their engineering operations.
Give us 30 minutes of your time and see it for yourself.