Use cases
Where controlled AI agents make the difference
AI agents pay off where recurring work involving sensitive data is spread across several systems. That is exactly where the risk is greatest. AEGIS makes such deployments manageable: each agent receives only the tools and the action level its task requires, and every action is checked and logged before it is executed.
Deployment scenarios
The following scenarios describe typical tasks that we work out with pilot organisations. In each case, what matters is not what the agent can do, but what it is allowed to do: which tools are on the allowlist and the highest action level it can reach.
Document processing
Starting pointContracts, official notices, medical reports or invoices arrive in large numbers and have to be read, assigned and summarised. The work is demanding enough to tie up skilled staff, and uniform enough to wear them out.
Role of AEGIS
The agent may read documents from specified folders (level 0) and write summaries or assignment suggestions to a working folder (level 1). Deleting, moving files into other departments' repositories or passing anything to the outside are not on the list. A manipulated document therefore cannot get the agent to send out files.
Mailbox and appointment coordination
Starting pointA large share of correspondence consists of follow-up questions, scheduling and standard information. At the same time, the mailbox is the place where attackers can most easily plant crafted texts.
Role of AEGIS
The agent reads incoming messages, categorises them and prepares draft replies. Sending is a level 2 action with an external effect. It remains blocked or is approved only for clearly defined cases, such as replies to known addresses without attachments. This makes the mailbox usable without it becoming an exit route for indirect prompt injection.
Internal research in your own knowledge base
Starting pointKnowledge is held in manuals, legal briefs, guidelines and project folders. New members of staff ask colleagues because searching takes too long.
Role of AEGIS
A local knowledge base (RAG) answers questions from your own documents and cites the sources. The agent works on a read-only basis. Because the model and the knowledge base reside within your infrastructure, neither the documents nor the questions leave your organisation.
Data maintenance in business systems
Starting pointMaster data, deadlines and status fields in business applications go out of date because nobody has time to keep them current. Errors only come to light once they have consequences.
Role of AEGIS
The agent detects discrepancies and proposes corrections. Write access to the business system takes the form of individually approved tools with a fixed format, not a general database connection. Every change is recorded in the log as a signed intent with its parameters and can therefore be checked after the fact.
Sectors with particular requirements
| Sector | Particular requirement | What AEGIS contributes |
|---|---|---|
| Law firms and advisory | Professional confidentiality; client data must not reach third parties uncontrolled | Local operation, nothing sent without approval, evidence of every action |
| Healthcare | Health data as a special category of personal data; for larger facilities, the NISG 2026 (Austria's Network and Information Systems Security Act 2026, which transposes NIS2) | Data stays in-house, strict action levels, log for documentation and reporting channels |
| Public sector and critical infrastructure | High requirements for resilience, traceability and independence from providers | Offline capability, free choice of models, tamper-evident audit log |
| Financial services | Regulatory documentation obligations, protection against unauthorised transactions | Transactions only as individually approved tools, separation of duties, signed approvals |
Local rather than cloud
Many agent offerings require documents, mailboxes and business data to be transferred to a cloud service. For organisations bound by professional secrecy or handling sensitive client data, that is often where the discussion ends. AEGIS is built to run on your own hardware: models run locally, logs and the knowledge base reside on your server or NAS, and the system also works without an internet connection.
This has a second advantage: sovereignty with respect to providers. Because AEGIS is not tied to any model provider, you can switch models when better ones become available, without rebuilding rules, logs and workflows. Vendor lock-in never arises in the first place.
When AEGIS is not the right tool
If you only occasionally have texts drafted or translated, you do not need agent governance - a well-configured assistant is enough. AEGIS pays off when agents are to access real systems and real data and you have to answer for what they do. We clarify which of your processes are suitable in the initial consultation of the pilot programme.