Cost Control for Running AI Agents
Promise
Full AI power, controlled costs.
Imagine rolling out AI agents across the whole company – as many and as often as the business allows – and still never having to fear a month-end bill nobody saw coming – because you're running on your own in-house resources. That is exactly the confidence DAOS, the Dromni Agent Operating System, delivers for cost control: scale AI to the fullest without anyone being held accountable for a runaway agent loop or a silent price hike from a cloud provider.
The challenge
- Unpredictable bills from runaway agents: Autonomous AI loops or inefficient prompts quietly rack up thousands in API costs before anyone even notices.
- Dependence on individual cloud providers: Relying on a handful of hyperscaler APIs leaves you exposed to their pricing – increases hit you directly and uncontrollably.
- No cost transparency: Without a breakdown by department, agent, or workflow, budgeting stays guesswork instead of control.
Our answer
The answer is intelligent routing between local and cloud models: high-frequency standard tasks run automatically on free, local models inside your own network; expensive cloud models are only engaged when the task's complexity truly demands it. Real-time cost monitoring keeps every agent's spend visible, and automatic budget limits stop runaway costs before they occur.
Without cost control
Hyperscaler
With DAOS
Hyperscaler
Internal cost
Illustrative representation – not real cost figures.
Challenge
Our answer
What's behind it
Hybrid Inference Platform
Automatic routing between local open-source models (e.g. Llama via Ollama) and external APIs (Anthropic, OpenAI, Vertex AI) based on task complexity – with no vendor lock-in.
Cost & trace dashboard
Real-time visualization of all token costs and system resources at agent, user, and workflow level. Every cent is attributable to a source.
Policy-based budget limits
Automatic enforcement of cost caps and shutdown of agents on anomalous usage, such as unproductive loops.
A/B testing & profiling
Live model comparison to validate cheaper alternatives for individual sub-tasks – without loss of quality.
Calculate your savings potential
ROI calculator: cost control
Estimate how much intelligent routing between local and cloud models can save.
Illustrative estimate based on your inputs – not a binding quote.
Before & after
Without cost control
- Monthly cloud bill fluctuates uncontrollably.
- An agent loop can escalate unnoticed.
- Costs cannot be attributed to individual teams.
- Provider price hikes hit you in full.
With DAOS
- Predictable, stable operating costs (OPEX).
- Existing hardware is put to use for AI agents.
- Every cent maps to a department, agent, or workflow.
- Switch models with one click, no vendor lock-in.
Use cases
Concrete scenarios – from automatic loop shutdown to a CFO cost breakdown – are in the cost control use cases.
Curious what's in it for your setup? Get in touch or book a slot directly – we'll estimate your specific savings potential together.
