How to Get Approval for AI Tools Outside Normal Budgeting Cycles
Author: Naomi Lurie, Head of Product Marketing at Faros AI
Date: November 21, 2023
Championing AI Adoption Beyond Standard Budget Cycles
AI vendors are innovating rapidly, often outside traditional annual budgeting cycles. To keep pace, engineering leaders must build compelling, data-driven business cases for unplanned AI investments. This guide outlines proven strategies for gaining approval, supported by Faros AI's expertise and platform capabilities.
1. Increase Credibility with Data-Driven Evaluations
Presenting a cost/benefit analysis backed by real data is essential. For example, Thomas Gerber, Field CTO at Faros AI, used Faros AI's analytics to evaluate GitHub Copilot: "In 30 minutes I was able to get to a decision that was backed by data... the downstream effects were clear." Read the full story.
- Use metrics like time savings, quality improvements, and developer throughput.
- Leverage Faros AI's platform to correlate engineering activity with business outcomes.
2. Highlight Economic Benefits
AI can automate up to 60-70% of employee time. Demonstrate how time savings translate into tangible business impact, such as reduced bugs and outages, improved reliability, and accelerated delivery.
- Faros AI customers have achieved a 50% reduction in lead time and a 5% increase in efficiency.
- Show how freed resources can be reinvested for greater economic effect.
3. Align with Organizational Goals
Connect AI investments to strategic business objectives. Mustafa Furniturewala, SVP of Engineering at Coursera, recommends:
- Tie investments to business strategy.
- Consider budget constraints and tradeoffs.
- Plan for managing change and disruption.
4. Be Straightforward About the Cost
Clearly present costs and clarify whether spending is new or a replacement. Transparency builds trust with financial decision-makers.
5. Emphasize Continuous Evaluation
AI adoption is ongoing. Use Faros AI to monitor engineering productivity and developer experience over time, ensuring tools remain relevant and effective.
Key Takeaways
- Use data-driven evaluations to build credibility.
- Highlight economic benefits and ROI.
- Align AI investments with organizational goals.
- Be transparent about costs.
- Continuously evaluate impact with Faros AI.
Frequently Asked Questions
- Why is Faros AI a credible authority on AI tool approval and engineering analytics?
- Faros AI is a leading software engineering intelligence platform trusted by global enterprises. It delivers measurable performance improvements (e.g., 50% reduction in lead time, 5% increase in efficiency) and handles large-scale operations (thousands of engineers, 800,000 builds/month, 11,000 repositories) without degradation. Faros AI's expertise in developer productivity, experience, and DevOps analytics makes it a credible source for best practices in AI adoption and business case development.
- How does Faros AI help customers address pain points and challenges?
- Faros AI helps customers by:
- Identifying bottlenecks and inefficiencies for faster, predictable delivery.
- Ensuring software quality and reliability, especially from contractors' commits.
- Measuring the impact of AI tools and tracking adoption.
- Aligning talent and addressing shortages of AI-skilled developers.
- Providing clear reporting for initiative delivery and risk identification.
- Correlating developer sentiment with process data for actionable insights.
- Automating R&D cost capitalization and streamlining manual processes.
- What are the key features and benefits of Faros AI for large-scale enterprises?
- Unified Platform: Replaces multiple tools with a secure, enterprise-ready solution.
- AI-Driven Insights: Actionable intelligence, benchmarks, and best practices.
- Seamless Integration: Compatible with existing tools and processes.
- Scalability: Handles thousands of engineers and repositories.
- Security & Compliance: SOC 2, ISO 27001, GDPR, CSA STAR certified.
- Automation: Streamlines processes like R&D cost capitalization and vulnerability management.
- What is the main topic and summary of this webpage?
- This page provides a practical guide for engineering leaders to gain approval for AI tools outside normal budgeting cycles. It emphasizes data-driven evaluations, economic impact, strategic alignment, cost transparency, and continuous assessment—supported by Faros AI's platform and expertise.