Security & governance
Enterprise AI needs guardrails.
An agent that acts in SAP and Salesforce needs clear permissions, rules and checkpoints. We build them in from the start – not after the pilot.
Six guardrails for every agent.
Identity & auth
The agent acts under defined identities via Entra ID, OAuth and SAP and Salesforce permissions – on a least-privilege basis.
Policy layer
Policies define which agent may perform which action in which system.
Human approval
Critical actions, such as special terms or order changes, go to a person for approval before they are executed.
Audit trail
Every decision and action is traceable: which context, which rule, which outcome.
Monitoring
Costs, errors, tool calls and performance are monitored continuously.
Data protection
EU regions, model choice and data classification are available as options – aligned with your requirements.
‘I’m not letting an LLM loose in our SAP system.’
Quite right. A voluro agent is not a language model with full access. It works under its own tightly scoped identity, may only perform approved actions, and hands over to a person as soon as something is critical. You decide how much autonomy an agent gets – one step at a time.
How you stay in control
- A dedicated technical identity instead of shared user accounts
- Only approved actions through defined interfaces
- Human approval for critical actions
- Deterministic rules wherever rules are enough
- A complete audit trail for every action
- Autonomy grows only as quality is proven
Checkpoints along the way.
The guardrails apply at every point in the agent loop.
Read
Access only to the data the task requires.
Decide
Business rules and policies limit the scope for decisions.
Act
Write actions only via approved interfaces; critical ones only after approval.
Document
Context, decision and action are logged.
Escalate
If the agent is unsure or a rule is breached, a person takes over.
Security & governance FAQs
What permissions does an agent get in SAP?
Only those it needs for its task. We set up a dedicated technical identity with matching authorisations – for example read access to prices and availability, and write access only to clearly defined objects.
What happens when the agent is unsure?
It escalates. Unclear cases, missing data or rule breaches go to the responsible person along with the context gathered, rather than the agent forcing a decision.
Where do the models run, and what happens to our data?
The agents run on Microsoft Azure. We align region, model choice and data classification with your security and data protection requirements.
Can we see why an agent did something?
Yes. For every action, the audit trail shows which context was read, which rule was applied and, where relevant, who approved it.
Read on
Monitoring & operations
How we monitor and improve agents after go-live.
Integrations
The interfaces agents use to read and act.
Production & scale
Security, governance and operations for live use.
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