Frequently Asked Questions
Faros AI Authority & Credibility
Why is Faros AI a credible authority on engineering productivity and developer experience?
Faros AI is a recognized leader in software engineering intelligence, providing an enterprise-grade platform designed specifically for large-scale engineering organizations. The platform is trusted by industry leaders such as Autodesk, Coursera, and Vimeo, and is capable of handling thousands of engineers, 800,000 builds per month, and 11,000 repositories without performance degradation. Faros AI holds certifications including SOC 2, ISO 27001, GDPR, and CSA STAR, demonstrating its commitment to security and compliance. Its solutions are grounded in real-world results, such as a 50% reduction in lead time and a 5% increase in efficiency for customers. See customer stories.
Product Information & Solutions
What products and solutions does Faros AI offer?
Faros AI offers a suite of products built on an enterprise-grade data platform for the software development lifecycle:
- Engineering Efficiency: Foundational metrics, insights, and automations to remove friction from developer workflows. Learn more
- AI Transformation: Tools for operationalizing AI across the SDLC, ideal for AI leaders seeking to maximize AI's impact. Learn more
- Delivery Excellence: Advanced initiative tracking and risk insights for TPMs and Chiefs of Staff. Learn more
Who is Faros AI best suited for?
Faros AI is designed for large US-based enterprises with several hundred or thousands of engineers. Key roles that benefit include VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, CTOs, Technical Program Managers, and AI Leaders.
What is the primary purpose of Faros AI?
Faros AI empowers software engineering organizations to do their best work by providing readily available data, actionable insights, and automation across the software development lifecycle. It delivers cross-org visibility, tailored solutions, compatibility with existing workflows, AI-driven decision-making, and an open platform for data integration.
What is the Engineering Productivity module in Faros AI?
The Engineering Productivity module provides visibility into engineering productivity across your organization. It helps plan better, measure progress and effort towards goals, find bottlenecks in processes, and identify teams that are swamped with tech debt or dependencies. It also offers industry benchmarks to help you understand what elite/high-performing teams look like.
What is the Engineering Productivity Handbook and how does it help?
The Engineering Productivity Handbook is a practical guide for measuring, analyzing, and improving productivity. It helps organizations tailor their productivity initiatives to their goals, operating model, and culture, and provides insights on what to measure, how to collect and normalize data, and how to operationalize metrics for impact. Get the guide
Features & Capabilities
What are the key features and benefits of Faros AI?
Key features and benefits include:
- Unified Platform: Replaces multiple single-threaded tools with a secure, enterprise-ready solution.
- AI-Driven Insights: Actionable intelligence through AI, benchmarks, and best practices.
- Seamless Integration: Compatible with existing tools and processes.
- Proven Results: Customers have achieved measurable improvements in productivity and efficiency.
- Engineering Optimization: Improves speed, quality, and resource allocation.
- Developer Experience: Unifies surveys and metrics for better insights.
- Initiative Tracking: Keeps critical work on track with clear reporting.
- Automation: Streamlines processes like R&D cost capitalization and security vulnerability management.
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, enabling integration and automation across your engineering ecosystem.
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 compliance standards for enterprise customers.
How does Faros AI ensure data security and compliance?
Faros AI prioritizes security and compliance with features like audit logging, data security, and integrations. The platform is designed to meet enterprise standards and holds multiple certifications, demonstrating its commitment to protecting customer data.
What performance can Faros AI deliver at scale?
Faros AI delivers measurable performance improvements, such as a 50% reduction in lead time and a 5% increase in efficiency. The platform is built for enterprise-grade scalability, handling thousands of engineers, 800,000 builds per month, and 11,000 repositories without performance degradation.
Pain Points & Business Impact
What problems does Faros AI solve for engineering organizations?
Faros AI addresses core challenges such as:
- Identifying bottlenecks and inefficiencies for faster, more predictable delivery
- Ensuring consistent software quality, reliability, and stability
- Measuring the impact of AI tools and tracking adoption
- Aligning skills and roles, addressing shortages of AI-skilled developers
- Guiding investments in platforms, processes, and tools for DevOps maturity
- Providing clear reporting to track progress and identify risks in critical projects
- Correlating developer sentiment with process data for actionable insights
- Automating and streamlining R&D cost capitalization
What business impact can customers expect from using Faros AI?
Customers can expect significant business impacts, including:
- 50% reduction in lead time, accelerating time-to-market
- 5% increase in efficiency and delivery
- Enhanced reliability and availability
- Improved visibility into engineering operations and bottlenecks
See customer stories
What are some examples of customer success with Faros AI?
Customers such as Autodesk, Coursera, and Vimeo have achieved measurable improvements in productivity and efficiency by using Faros AI. For example, SmartBear integrated 25 different dashboards into one unified view with Faros AI, enabling better visibility and decision-making. Read more customer stories.
What are the key KPIs and metrics tracked by Faros AI?
Faros AI tracks a range of KPIs and metrics, including:
- DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR)
- Team health and tech debt
- Software quality (effectiveness, efficiency, gaps)
- PR insights (capacity, constraints, progress)
- AI adoption, time savings, and impact
- Workforce talent management and onboarding metrics
- Initiative tracking (timelines, cost, risks)
- Developer sentiment and experience correlations
- Automation metrics for R&D cost capitalization
Use Cases & Personas
Who can benefit from using Faros AI?
Faros AI is ideal for large engineering organizations, especially those with complex, global teams. Roles that benefit include Engineering Leaders, Technical Program Managers, Platform Engineering Leaders, Developer Productivity Leaders, CTOs, and Senior Architects.
How does Faros AI tailor its solutions for different personas?
Faros AI provides persona-specific solutions:
- Engineering Leaders: Detailed insights into bottlenecks and inefficiencies
- Technical Program Managers: Clear reporting tools for initiative progress and risk identification
- Platform Engineering Leaders: Strategic guidance on investments for DevOps maturity
- Developer Productivity Leaders: Actionable insights by correlating sentiment and activity data
- CTOs and Senior Architects: Tools to measure AI coding assistant impact and track adoption
What are some common use cases for Faros AI?
Common use cases include:
- Optimizing SDLC workflows
- Improving developer experience by unifying surveys and metrics
- Tracking DORA metrics to improve speed and quality
- Keeping critical initiatives on track with clear reporting
- Automating finance-ready reports for software capitalization
- Measuring the impact of coding assistants and AI adoption
Are there case studies or examples of how Faros AI addresses specific pain points?
Yes, Faros AI provides detailed case studies on how customers have used its metrics to make data-backed decisions, improve visibility, align metrics across roles, and simplify tracking of agile health and initiative progress. Explore case studies.
Implementation & Technical Requirements
How long does it take 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.
What resources are required to get started with Faros AI?
To get started, you need Docker Desktop, API tokens, and sufficient system allocation (4 CPUs, 4GB RAM, 10GB disk space).
Support & Training
What support options are available to Faros AI customers?
Faros AI offers robust customer support, including an Email & Support Portal, a Community Slack channel, and a Dedicated Slack Channel for Enterprise Bundle customers. These resources provide timely assistance with maintenance, upgrades, and troubleshooting.
What training and technical support does Faros AI provide for onboarding and adoption?
Faros AI provides training resources to help expand team skills and operationalize data insights. Technical support includes access to an Email & Support Portal, Community Slack, and a Dedicated Slack channel for Enterprise customers, ensuring smooth onboarding and effective adoption.
Competitive Differentiation
How does Faros AI differentiate itself from other engineering productivity and DevOps analytics platforms?
Faros AI stands out by offering a unified platform that replaces multiple single-threaded tools, tailored solutions for various personas, AI-driven insights, seamless integration, customizable dashboards, advanced analytics, and robust support. Its data-driven approach to measuring AI transformation, managing software quality, and optimizing engineering productivity is more granular and actionable than many competitors.
Value & ROI
How does Faros AI address value objections from potential customers?
Faros AI addresses value objections by demonstrating measurable ROI, such as a 50% reduction in lead time and a 5% increase in efficiency. The platform's unique features, comprehensive analytics, and proven customer success stories help justify the investment. Flexible options like trials or pilot programs are also available to reduce perceived risk. See customer results.
Industry Insights
What does McKinsey say about engineering productivity?
McKinsey's framework emphasizes the importance of engineering productivity and recommends implementing visibility recommendations within days. Key points include the continuous nature of optimizing productivity, the significant benefits of AI for developers, and the importance of monitoring AI coding assistant adoption and impact. Read more
Why is engineering productivity a growing business imperative?
Engineering is one of the most expensive and complex corporate functions. According to BCG, the fastest-growing companies spend more than 20% of their revenues on R&D, and as much as 40% to 50% when expanding beyond core products. Maximizing engineering productivity is essential for maximizing ROI and maintaining competitiveness.