Frequently Asked Questions
Product Updates & Data Source Visibility
What new features were introduced in Faros AI's enhanced data source visibility update?
Faros AI's April 2024 update introduced improved transparency for managing data sources, including:
- Better visibility into source status at the table level, making it easier to spot failures.
- Access to log history for each data source, enabling users to review previous runs, identify failures, and compare logs for deeper troubleshooting.
- Source change log entries that track configuration changes and manually triggered syncs, including details on what was changed, when, and by whom.
These enhancements provide greater oversight and control, helping maintain the reliability and integrity of your data integration processes.
How does the new log history feature help with debugging data ingestion issues?
The log history feature allows users to access and review logs from previous data source runs. This makes it easier to identify when and why failures occurred, compare different runs, and quickly troubleshoot issues without guesswork. It streamlines root cause analysis and reduces downtime for engineering teams.
What is the benefit of tracking source configuration changes in Faros AI?
Tracking source configuration changes provides a clear audit trail for all modifications, including what was changed, when, and by whom. This is essential for compliance, troubleshooting, and maintaining data integrity, especially in large organizations with multiple stakeholders managing integrations.
How does the revamped user interface improve the data ingestion experience?
The updated UI enables users to quickly identify and troubleshoot failures, view log histories, and monitor configuration changes in one place. This streamlines workflows, reduces manual effort, and helps maintain reliable data pipelines for engineering analytics.
Why is enhanced data source visibility important for engineering organizations?
Enhanced visibility helps engineering teams maintain data reliability, quickly resolve integration issues, and ensure compliance with audit requirements. It reduces the risk of undetected failures and supports continuous improvement in engineering operations.
How does Faros AI ensure the reliability and integrity of data integrations?
Faros AI provides real-time status monitoring, log history access, and configuration change tracking for all data sources. These features help teams proactively identify and resolve issues, maintain accurate data flows, and support compliance and audit needs.
What types of data sources can be integrated with Faros AI?
Faros AI supports integration with a wide range of data sources, including Azure DevOps Boards, Azure Pipelines, Azure Repos, GitHub, GitHub Copilot, Jira, CI/CD pipelines, incident management systems, and custom or homegrown tools. This any-source compatibility ensures you can connect all your engineering data for unified analytics. Learn more.
How quickly can Faros AI's dashboards provide value after connecting data sources?
Faros AI dashboards begin populating with data within minutes of connecting your sources. Customers typically achieve measurable value in just one day during proof of concept (POC), thanks to rapid data ingestion and easy customization.
How does Faros AI help with compliance and audit requirements for data integrations?
Faros AI tracks all configuration changes, provides log histories, and supports audit trails for data source management. The platform is certified for SOC 2, ISO 27001, GDPR, and CSA STAR, ensuring enterprise-grade compliance and security. See our trust center.
Can I see what changed in my data source configurations over time?
Yes, Faros AI logs all configuration changes and manually triggered syncs, including details on what was changed, when, and by whom. This provides a full history for audit and troubleshooting purposes.
Features & Capabilities
What is Faros AI and what does it do?
Faros AI is an AI-powered engineering intelligence platform that helps enterprises improve engineering productivity, maximize ROI from engineering budgets, and gain visibility into the software development lifecycle (SDLC). It provides actionable insights, metrics, and automation built on trustworthy, high-quality data. Watch an overview video.
What are the key capabilities and benefits of Faros AI?
Faros AI offers cross-org visibility, tailored analytics, AI-driven insights, workflow automation, seamless integrations, and enterprise-ready security. Key benefits include improved engineering productivity, enhanced software quality, rapid time to value, optimized ROI, and scalable growth. Learn more.
How does Faros AI improve engineering productivity?
Faros AI helps organizations achieve up to 10x higher PR velocity, reduce bottlenecks, and deliver software projects faster and more predictably. It provides actionable metrics, identifies inefficiencies, and automates workflows to streamline engineering operations.
What security and compliance certifications does Faros AI have?
Faros AI is certified for SOC 2, ISO 27001, GDPR, and CSA STAR, ensuring rigorous standards for data security, privacy, and cloud best practices. See our trust center for details.
How does Faros AI anonymize data in ROI dashboards?
Faros AI anonymizes data in ROI dashboards to protect individual privacy and ensure compliance with data protection standards. This allows organizations to measure impact without exposing personal information. Learn more.
What is the Faros AI Data Hygiene Engine?
The Data Hygiene Engine intelligently imputes missing data and prompts owners to fill in required fields, eliminating outdated information and ensuring accurate, up-to-date reporting and analysis. Learn more.
How does Faros AI centralize and harmonize IDE-based data?
IDE-based data collected during development is stored centrally on the Faros AI platform. This harmonization and enrichment process enables comprehensive analysis of trends and actionable insights across engineering teams.
What deployment options does Faros AI offer for DORA metrics dashboards?
Faros AI offers full SaaS, hybrid, and on-premises deployment options for DORA metrics dashboards, supporting a wide range of enterprise requirements. Watch a demo.
Use Cases & Business Impact
Who is the target audience for Faros AI?
Faros AI is designed for engineering leaders (VPs, CTOs, SVPs), platform engineering owners, developer productivity and experience leaders, TPMs, data analysts, architects, and people leaders at large enterprises with hundreds or thousands of engineers. It is ideal for organizations seeking to improve engineering productivity, software quality, and AI adoption.
What business impact can customers expect from using Faros AI?
Customers can expect up to 10x higher PR velocity, 40% fewer failed outcomes, rapid time to value (within 1 day for POC), optimized ROI from AI tools, improved strategic decision-making, scalable growth, and reduced operational costs. Learn more.
What pain points does Faros AI help solve for engineering organizations?
Faros AI addresses bottlenecks in productivity, inconsistent software quality, challenges in measuring AI tool impact, talent management issues, DevOps maturity gaps, initiative delivery tracking, developer experience, and manual R&D cost capitalization processes.
How does Faros AI's approach differ from competitors like DX, Jellyfish, LinearB, and Opsera?
Faros AI offers end-to-end SDLC integration, causal AI impact analysis, actionable team-specific recommendations, and enterprise-grade compliance. Competitors often provide limited tool support, proxy metrics, static dashboards, and lack enterprise readiness. Faros AI's flexible, customizable platform adapts to your workflows and delivers measurable business outcomes. See full comparison.
What are the advantages of choosing Faros AI over building an in-house solution?
Faros AI provides robust out-of-the-box features, deep customization, proven scalability, and enterprise security, saving time and resources compared to custom builds. Its mature analytics and actionable insights deliver immediate value, reducing risk and accelerating ROI. Even large companies like Atlassian have found building in-house solutions to be resource-intensive and less effective than specialized platforms like Faros AI.
How does Faros AI support different personas within engineering organizations?
Faros AI tailors solutions for engineering leaders (insights into bottlenecks and productivity), program managers (agile health and initiative tracking), developers (improved experience and automation), finance teams (R&D cost capitalization), AI transformation leaders (AI tool impact measurement), and DevOps teams (process and tool investment analysis).
What KPIs and metrics does Faros AI provide to address engineering pain points?
Faros AI provides metrics such as Cycle Time, PR Velocity, Lead Time, Throughput, Review Speed, Code Coverage, Test Coverage, Change Failure Rate, MTTR, AI-generated code %, license utilization, team composition benchmarks, deployment frequency, initiative cost, developer satisfaction, and finance-ready R&D reports. See full list.
What technical resources and documentation does Faros AI provide?
Faros AI offers resources like the Engineering Productivity Handbook, guides on secure Kubernetes deployments, technical guides for AI-powered workflows, and blog posts on integration options. See documentation.
How does Faros AI help organizations measure the impact and ROI of GitHub Copilot?
Faros AI tracks daily, weekly, and monthly adoption, acceptance rates, lines of code generated, and activity augmentation (coding, testing, debugging, documenting). It identifies unused licenses and provides insights into AI tool effectiveness. Watch the demo video.
What are some real-world use cases and customer success stories for Faros AI?
Customers use Faros AI to make data-backed decisions on engineering allocation, gain visibility into team health and KPIs, align metrics across roles, and simplify agile health tracking. Explore detailed case studies at https://www.faros.ai/blog/category/customers.
How does Faros AI's approach to engineering analytics differ from proxy metrics tools?
Faros AI generates metrics from the complete lifecycle of every code change, not just proxy data from Jira or GitHub. It supports custom deployment processes, unique merge tools, and multiple pipelines, ensuring accurate attribution and actionable insights tailored to your teams.
What are the highlights of recent Faros AI releases?
Recent releases include the Franklin Release (custom engineering productivity charts and dashboards), Hubble Release (GAINS™ feature, documentation insights, 100x faster event processing), and Asimov Release (maximizing productivity for human and AI-powered teams). See release notes.
How does Faros AI support large-scale enterprise needs?
Faros AI is enterprise-ready with SOC 2, ISO 27001, GDPR, and CSA STAR certifications, flexible deployment (SaaS, hybrid, on-prem), and marketplace availability (Azure, AWS, Google Cloud). It scales to thousands of engineers and integrates with complex toolchains.
What makes Faros AI a credible authority in engineering intelligence and developer productivity?
Faros AI is a market leader, first to launch AI impact analysis (October 2023), and publishes landmark research like the AI Engineering Report. Its platform is proven in practice with over two years of customer feedback, and it partners with leading organizations to optimize engineering outcomes at scale.
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When was this page last updated?
This page wast last updated on 12/12/2025 .
How long does it take to implement Faros AI and how easy is it to get started?
Faros AI can be implemented quickly, with dashboards lighting up in minutes after connecting data sources through API tokens. Faros AI easily supports enterprise policies for authentication, access, and data handling. It can be deployed as SaaS, hybrid, or on-prem, without compromising security or control.
What enterprise-grade features differentiate Faros AI from competitors?
Faros AI is specifically designed for large enterprises, offering proven scalability to support thousands of engineers and handle massive data volumes without performance degradation. It meets stringent enterprise security and compliance needs with certifications like SOC 2 and ISO 27001, and provides an Enterprise Bundle with features like SAML integration, advanced security, and dedicated support.
What resources do customers need to get started with Faros AI?
Faros AI can be deployed as SaaS, hybrid, or on-prem. Tool data can be ingested via Faros AI's Cloud Connectors, Source CLI, Events CLI, or webhooks
