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Your benefits

This page answers the question that comes after the technology: what does it get us? Not as a feature list, but as a change – per role, with the figures we can back up.

Four problems, four answers

Challenge

Our answer

AI usage grows faster than the overview of it – at the end of the month a five-figure bill arrives that nobody saw coming.
Costs are captured per agent and per model call; budget limits stop runaway agents automatically.
Employees use their own AI tools without IT or compliance knowing – often without knowing themselves which data is leaking out. Or the other way round: they do nothing at all, because they are afraid of doing something wrong.
One approved path for all AI usage, with policies that are enforced technically rather than by memo.
Regulators demand complete logs. Who ran which agent, when, and with what data?
Every model call produces a log entry that can no longer be altered – six months directly accessible, up to five years in the archive, across every AI provider.
Whoever builds on a single model provider loses control over prices, availability, and data processing.
All providers sit behind one shared interface – switching to an alternative is possible at any time.

What you get out of it

Technological sovereignty

Complete provider freedom without being tied to one vendor: local open-source models or the interfaces of the large providers, your choice. Company data does not leave the building uncontrolled.

Bureaucracy that runs in the background

Permission management, data-protection policies, complete logs for the EU AI Act, and cost control all run automatically. Nobody has to assemble them at the end of the quarter.

Productivity that stays

Instead of permanent dependence on external service providers, we invest in enabling your team. In the end your own people operate the agents – and drive the innovation themselves.

Benefits by role

Executives

The problem is rarely that too little AI is being used. It is that nobody can say what it costs and where it happens. DAOS makes AI spending steerable and secures independence from individual technology corporations.

What changes: AI stops being a collection of isolated solutions and becomes one overall strategy that grows with your requirements, while maintenance and compliance stay manageable.

IT leadership

Instead of separate tools per department, one central management layer for models, permissions, and security – as installable standard software for local operation, not as another cloud subscription. The resources registry discovers for itself what exists in the system, rather than hoping for well-kept lists.

What changes: shadow AI and isolated solutions become managed AI – with an inventory, and with full control down to every single machine capable of running AI agents locally.

Compliance and risk

All AI access in the company is logged and steered at one place. The architecture keeps data local and enforces requirements technically instead of recommending them. Log entries cannot be altered once written.

What changes: evidence is no longer a project but a by-product of operation. Risk analysis, audit documentation, and the readjustment of policies run along semi- or fully automatically.

Department leads

An environment ready to use immediately, to run AI agents for specialist tasks safely – without informal cloud usage and without waiting for internal approval from the IT or legal team. The boundaries are in place before the first agent starts.

What changes: your people build workflows themselves, inside rules nobody has to enforce case by case any more. If a use is not compliant, the team can correct course itself and implement it properly.

What that delivers measurably

€150,000
saved per company in additional maintenance and staffing costs
Dromni project record from more than 10,000 working hours together
12+
production-ready AI systems in operation
trend rising sharply
4x
faster enablement than the competition
performance commitment by Dromni

What DAOS is not

  • Not another chat tool. DAOS replaces neither models nor interfaces; it manages AI agents. There are no limits to how you design your agents – except the ones you set yourself.
  • Not a consulting project without end. The rollout ends when your team works independently. The software carries on afterwards, operated by your people.
  • Not a replacement for your IT. DAOS takes the management of models, keys, and evidence off IT's hands – not the responsibility for the system landscape, nor the freedom to shape it.
  • Not a closed box. Providers, models, and modules are interchangeable. That is the whole point. You stay flexible and innovative.

Your next step

Would you like to benefit from DAOS as well? Get in touch or book a slot directly – we work through your benefits together instead of arguing with averages.