01
Dynamic, token-based AI billing makes standard monthly budgets obsolete.
fyscal · Autonomous finance workflow
Where did the AI budget go?
Track and allocate dynamic model tokens, cloud APIs, and team infrastructure spend automatically. AI-native controlling agents give forward-thinking finance leaders instant cost governance.
The manual AI cost tracking reality
“API model rates fluctuate. Cloud compute nodes scale dynamically. R&D sandbox keys are created. The monthly cloud invoice spikes, but finance cannot identify which project, team, or experiment drove the costs.”
02
AI API keys and sandboxes lack documented corporate owners or business outcomes.
03
Finance only identifies wasteful compute spikes weeks after they occurred.
See the agent think in evidence, not black boxes.
A concept view of how fyscal traces discrepancies and produces reviewable reconciliation steps.
Model and Team-level AI Spend Mapping
Allocation Model (August 2026)
| Vendor / API | Logged Cost | Assigned Team | Identified Driver |
|---|---|---|---|
| OpenAI (GPT-4o) | €18,450 | Engineering (Search Product) | Batch vector indexing |
| Anthropic (Claude 3.5 Sonnet) | €12,800 | Unassigned (API Key #028) | Unknown sandbox usage |
| Amazon Web Services (SageMaker) | €44,200 | Data Science (R&D Platform) | Deep training checkpoints |
Unassigned AI Spend Flagged: €12,800
fyscal controlling agent trace: Anthropic key #028 consumed €12,800. Key origin traced to marketing sandbox test. Budget owner: Unassigned. Suggested action: Request allocation and business justification.
Evaluate your workflow with fyscal
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