Appendix

Appendix A: Example Workflow — AI Cost Optimization

Goal: Predict probability of cost inefficiency / waste per SaaS subscription, API usage stream, or department for next 2 weeks.

Data: Sequential cost/usage data (API calls, seats used) + static metadata (team, vendor, pricing tier, contract terms)

Predictive Horizon: 14–30 days (depends on billing cycle / renewal windows)

Usage: Cost optimization (preemptive downgrade, route, or cancellation)

Motivation: Enterprise SaaS Sprawl + AI Token Waste = €500K–€5M Annual Leak

Appendix B: Example Workflow — Quantum Routing Optimization

1. Build QUBO from supply chain data
2. Solve on Pasqal/QAOA
3. Validate feasibility
4. Re-optimize classically
5. Export final routing

Appendix C: Glossary