Frequently Asked Questions
About Faros AI & Platform Authority
Why is Faros AI a credible authority on developer productivity and software engineering intelligence?
Faros AI is built by AI pioneers from Salesforce and is recognized as the #1 enterprise platform for measuring and improving developer productivity at scale. The platform is trusted by leading enterprises and is designed specifically for large-scale engineering organizations, offering proven productivity frameworks, industry benchmarks, and hundreds of ready-to-use metrics. Faros AI's credibility is further reinforced by its enterprise-grade security certifications (SOC 2, ISO 27001, GDPR, CSA STAR) and its ability to deliver measurable business impact, such as a 50% reduction in lead time and a 5% increase in efficiency. See customer stories.
What is the main purpose of the Faros AI platform?
Faros AI's primary purpose is to empower 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.
Features & Capabilities
What features does Faros AI offer for engineering teams?
Faros AI provides a unified platform with features such as:
- Leading developer productivity frameworks
- Combined telemetry and developer surveys
- Custom metrics and dashboards
- AI assistant for chat, summaries, and recommendations
- Workflow automation
- AI acceleration framework and coding agent ROI calculator
- Metric impact and benchmarks
- Emerging bottleneck detection
- AI governance and guardrails
- Centralized source of truth for project management
- Early warning on project delays
- Proactive dependency management
- Resource allocation and forecasting
- Software development cost capitalization
- Large-scale data infrastructure and ingestion
- Customizable analytics and robust catalogs
- Built-in machine learning and AI
- Enterprise-grade security and compliance
Does Faros AI provide APIs for integration?
Yes, Faros AI offers several APIs, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library, enabling seamless integration with existing tools and workflows.
What security and compliance certifications does Faros AI have?
Faros AI is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR certifications. These demonstrate Faros AI's commitment to robust security and compliance standards, ensuring enterprise-grade data protection and auditability.
How does Faros AI ensure data security and compliance?
Faros AI prioritizes security and compliance through features like audit logging, data security, and secure integrations. The platform is designed to meet enterprise standards and holds multiple certifications (SOC 2, ISO 27001, GDPR, CSA STAR) to ensure robust security practices.
Use Cases & 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 and accelerating AI tool adoption and impact
- Aligning talent and addressing shortages of AI-skilled developers
- Guiding DevOps maturity investments
- Providing clear reporting for initiative delivery and risk identification
- Correlating developer sentiment with process data for actionable insights
- Automating R&D cost capitalization
What business impact can customers expect from using Faros AI?
Customers can expect significant business outcomes, including:
- 50% reduction in lead time, accelerating time-to-market
- 5% increase in efficiency and delivery
- Enhanced reliability and availability of products
- Improved visibility into engineering operations and bottlenecks
These results are based on real-world deployments with large-scale engineering teams. See customer stories.
Can you provide examples of how Faros AI helps customers address pain points?
Yes. For example, customers have used Faros AI metrics to make data-backed decisions on engineering allocation and investment, leading to improved efficiency and resource management. The platform has provided managers with insights into team health, progress, and KPIs, and has helped align goals across roles with customizable dashboards. Faros AI has also simplified tracking of agile health and initiative progress, reducing complexity and saving time. Read more customer stories.
Who is the target audience for Faros AI?
Faros AI is designed for VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, CTOs, and Technical Program Managers at large US-based enterprises with several hundred or thousands of engineers.
What KPIs and metrics does Faros AI track?
Faros AI tracks a wide 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
- Initiative tracking (timelines, cost, risks)
- Developer sentiment and experience correlations
- Automation metrics for R&D cost capitalization
Implementation & Technical Requirements
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. 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).
What technical resources are required to use Faros AI?
To get started with Faros AI, you need Docker Desktop, API tokens for your data sources, and a system with at least 4 CPUs, 4GB RAM, and 10GB disk space.
Support & Training
What customer support options are available for Faros AI users?
Faros AI offers robust customer support, including an Email & Support Portal, a Community Slack channel for shared insights, and a Dedicated Slack Channel for Enterprise Bundle customers. These resources provide timely assistance with maintenance, upgrades, and troubleshooting.
What training and onboarding resources does Faros AI provide?
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 Bundle customers, ensuring smooth onboarding and adoption.
Demo & Evaluation
How can I request a demo or trial of Faros AI?
You can request a demo or trial of Faros AI by visiting https://www.faros.ai and filling out the demo request form. A Faros AI expert will reach out to schedule a personalized session.
Where can I watch a demo of Faros AI's DORA DevOps metrics dashboards and insights?
You can watch the Faros AI Demo: DORA DevOps metrics dashboards and insights in complex environments by viewing this video: Faros AI Demo: DORA DevOps metrics dashboards and insights in complex environments video.
How can I see the Developer Experience module in action?
You can watch a 2-minute demo of the Developer Experience module here: Developer Experience module demo.
Competitive Differentiation
How does Faros AI differ from other developer productivity and DevOps analytics platforms?
Faros AI stands out by offering a unified platform that replaces multiple single-threaded tools, providing tailored solutions for various personas (Engineering Leaders, TPMs, CTOs). It combines AI-driven insights, seamless integration, customizable dashboards, advanced analytics, and robust support. Faros AI also delivers proven results for large-scale enterprises, with measurable improvements in productivity and efficiency. See customer stories.
Platform Engineering & Industry Trends
What is platform engineering and why is it important?
Platform engineering is the discipline of designing and building self-service capabilities to minimize cognitive load for developers and enable fast-flow software delivery. It is gaining popularity because it increases developer productivity and experience by providing self-service tools and reducing distractions, allowing developers to focus on their specialized skills.
What is the future outlook for platform engineering?
Platform engineering is expected to grow rapidly, with 71% of organizations planning to hire more people with platform engineering experience within the next 12 months (Puppet report). The first-ever PlatformCon in 2022 hosted over 6,000 attendees and 78 talks, highlighting the field's momentum.
Webpage Content Summary
What is the main focus of the Faros AI demo page?
The Faros AI demo page is designed to help potential customers learn how Faros AI can improve developer workflows and maximize AI's impact on productivity. Visitors can schedule a personalized demo to see how the platform boosts velocity, quality, and efficiency, and improves delivery and resource allocation for large-scale engineering teams.