Finance Stakeholder Visibility Into AI Usage and Spend
Finance teams can now track AI costs by workflow instead of waiting for monthly invoices to arrive.
Tatiana Osei-Mensah
Staff Writer, AI Operations & Governance
Tatiana Osei-Mensah
Tatiana came to technology journalism through a decade of work in enterprise IT governance and compliance consulting, giving her a practitioner's eye for where AI scaling initiatives succeed or stall inside large organizations. She focuses on the operational and policy layers that sit between model capability and real-world deployment.
6 stories
Attributing AI Infrastructure Costs to Business Units and Products
Most AI spending goes untracked because invoices don't match organizational structure.
Tatiana Osei-Mensah
Real-Time LLM Cost Tracking by Team, Project, and Model
Finance teams can now see exactly where their AI budgets go, by team and project in real time.
Tatiana Osei-Mensah
Gateway-Layer Observability vs. Provider Dashboard Visibility
Gateway-layer observability reveals cross-provider costs and failures before they happen, not after.
Tatiana Osei-Mensah
LLM Proxy vs. LLM Gateway Architectural Differences
Proxies move traffic; gateways enforce who gets to send it and under what rules.
Tatiana Osei-Mensah
Eliminating Provider Credential Sprawl in AI Teams
AI-assisted code leaks credentials twice as fast as human-written code.
Tatiana Osei-Mensah