The Initiative Tracking module in Faros AI helps engineering leaders ensure key initiatives are on track by providing visibility into all initiatives, progress to goals, estimated remaining time, completed and outstanding work, and team assignments. It enables faster, data-driven decisions and helps align engineering work with business outcomes.

The module provides visibility into metrics such as initiative progress to goal, estimated remaining time and costs, completed and outstanding work, and team assignments. These metrics help leaders forecast delivery timelines, monitor budgets, and ensure effective resource allocation.

Faros AI provides centralized dashboards and proactive alerts to monitor the progress of strategic deliverables, forecast delivery timelines, and identify emerging delays or budget overruns. This enables engineering leaders to take timely action and ensure on-time delivery of critical projects.

• Unified platform replacing multiple single-threaded tools
• AI-driven insights and actionable intelligence
• Seamless integration with existing tools and processes
• Customizable dashboards and advanced analytics
• Automation of processes like R&D cost capitalization and security vulnerability management
• Proven results for large enterprises, including measurable improvements in productivity and efficiency

Yes, Faros AI provides several APIs, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library, enabling integration with a wide range of tools and workflows.

Faros AI is designed for VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, CTOs, and other leaders at large US-based enterprises with hundreds or thousands of engineers. It is especially valuable for organizations seeking to optimize engineering productivity, software quality, AI transformation, and initiative delivery.

• 50% reduction in lead time, accelerating time-to-market for products and initiatives
• 5% increase in efficiency and delivery, improving resource allocation and workflows
• Enhanced reliability and availability of products and services
• Improved visibility into engineering operations and bottlenecks

Faros AI helps customers make data-backed decisions on engineering allocation and investment, leading to improved efficiency and resource management. For example, customers have used Faros AI metrics to gain insights into team health, progress, and KPIs, and customizable dashboards have helped align goals across roles. For more, see Faros AI Customer Stories.

• Identifies bottlenecks and inefficiencies for faster, more predictable delivery
• Ensures consistent software quality, reliability, and stability
• Measures the impact of AI tools and tracks adoption
• Aligns skills and roles, addressing shortages of AI-skilled developers
• Guides investments in platforms, processes, and tools for DevOps maturity
• Provides clear reporting to track progress and identify risks in critical projects
• Correlates developer sentiment with process data for actionable insights
• Automates and streamlines R&D cost capitalization

• Provides a unified platform replacing multiple tools
• Offers persona-specific dashboards and insights for roles like Engineering Leaders, Program Managers, and CTOs
• Delivers granular, actionable data for engineering productivity and software quality
• Focuses on AI transformation with robust measurement and adoption tracking
• Automates complex processes such as R&D cost capitalization

• Engineering Productivity: DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), team health, tech debt
• Software Quality: Effectiveness, efficiency, gaps, PR insights
• AI Transformation: Adoption, time savings, impact
• Talent Management: Workforce talent management, onboarding
• DevOps Maturity: DORA metrics, process/tool effectiveness
• Initiative Delivery: Timelines, cost, risks
• Developer Experience: Correlation between survey and system data
• R&D Cost Capitalization: Automation metrics

Faros AI delivers measurable performance improvements, including a 50% reduction in lead time and a 5% increase in efficiency. The platform is proven to scale for thousands of engineers and hundreds of thousands of builds per month without performance degradation.

Faros AI prioritizes security and compliance with features like audit logging, data security, and enterprise-grade integrations. The platform is certified for SOC 2, ISO 27001, GDPR, and CSA STAR, demonstrating its commitment to robust security practices.

• SOC 2
• ISO 27001
• GDPR
• CSA STAR

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.

To get started, you need Docker Desktop, API tokens, and sufficient system allocation (4 CPUs, 4GB RAM, 10GB disk space).

Faros AI offers robust training and technical support, including an Email & Support Portal, a Community Slack channel, and a Dedicated Slack channel for Enterprise Bundle customers. Training resources help teams expand skills and operationalize data insights for effective adoption.

Customers have access to an Email & Support Portal, a Community Slack channel, and a Dedicated Slack channel for Enterprise Bundle customers, ensuring timely assistance with maintenance, upgrades, and troubleshooting.

Initiative tracking in Faros AI helps engineering leaders ensure projects are appropriately staffed and progressing, allowing for better decision-making and prompt communication with stakeholders when timelines change.

• What are people currently working on?
• How are strategic cross-org initiatives progressing?
• What’s going well?
• Where are the issues?

The handbook provides guidance on keeping critical work on track by aligning initiatives with business goals and ensuring resources are allocated effectively. It also covers what to measure, why it matters, and best practices for operationalizing metrics.