Local AI Operation for Your IT Infrastructure
Promise
Full control, minimal effort – IT becomes the enabler of AI innovation.
Imagine your IT department being the reason every business unit can start with AI agents right away – without a ticket backlog of individual requests piling up on your desk. That feeling of control is exactly what the local operation of AI agents with DAOS enables: IT becomes the enabler, because the system handles approvals on its own instead of you processing each one by hand.
The challenge
- A constant barrage of individual requests: "May I use this tool?", "May I put this dataset in there?" – every request lands manually on IT's desk and eats time needed for strategic work.
- High expertise barrier & update pressure: Building and running local AI infrastructure demands deep expertise; keeping models and standards current by hand is time-consuming.
- Shadow AI with no overview: Without a central platform, departments adopt their own AI tools – cost, resource usage, and security posture become impossible to oversee.
Our answer
The answer is a central, locally operated platform where IT defines the approval rules once – and the system then applies them automatically to every request. Employees get immediate access to what's approved for them, without every request landing on IT's desk. Operations stay lean: updates, integrations, and security standards are kept current largely automatically.
Without DAOS
With DAOS
Security tiers
Illustrative representation – not a real system architecture.
Challenge
Our answer
What's behind it
Resources Registry
Central capture and classification of all resources into five security tiers of rising clearance (Public, Confidential, Strictly Confidential, Secret, Private) – once defined, the classification then applies automatically to every new request.
Policy System
Three-level rules (system, user, and workload level), model allowlists, and RBAC – IT defines the rules once instead of reviewing every request by hand.
Agent Runtime
Central lifecycle management of all agents (start, stop, restart), isolated container execution, automatic health checks and restarts – operations without constant manual intervention.
Monitoring & testing/profiling
Real-time dashboard of system load, resource usage, and cost per agent – full overview instead of flying blind with shadow AI.
This page views local AI operation from an IT angle. The general solution and the leadership perspective cover the same DAOS foundation for other roles; the legal compliance angle is covered by the EU AI Act Compliance Shield.
Calculate your productivity potential
ROI calculator: IT relief
Estimate how much IT time is freed up when approvals run automatically instead of manually.
Illustrative estimate based on your inputs – not a binding offer.
Use cases
From central policy configuration to automatic hardware checks: the model rollout use cases.
How much ticket load could you automate away? Get in touch or book a slot directly – we'll map the path to lean, controlled operations.