Optimize the AI Budget in your Software Factory - FairMind Breakfast

​The hidden cost of AI agents in software projects? Let’s discuss it over breakfast!

​How do you prevent token costs from skyrocketing across the software development lifecycle?

​The issue is rarely which model you choose; rather, it is the redundant, repetitive tasks the model performs before actually reaching the core objective.

​In an agent-led development lifecycle, token costs spiral out of control for three common reasons: loops that restart from scratch instead of resuming from checkpoints, task drift that forces re-work, and relying on frontier models for tasks where an open-weight model could deliver the same results at a fraction of the cost.

​What we will cover:

• ​Loop Engineering & Best Practices: How to implement stop conditions and verification gates to prevent agents from running longer and costing more than necessary.

• ​Model Routing: Strategies for orchestrating workloads between open-weight and frontier models, knowing exactly when a premium model is required versus when a cost-effective open-weight alternative suffices.

• ​Cost Governance & Tracking: The tools and frameworks needed to monitor token consumption by team and project, catching budget overruns before they happen.

​Who should attend? CIOs, CTOs, CEOs, COOs, Heads of Innovation, Heads of Transformation, and anyone leading operations within a Software Factory.

​Join us for breakfast!