Bounded tasks
Agents receive a clear purpose rather than blanket access to the entire organisation.
Specialised agents instead of uncontrolled autonomy
Local AI agents for business – capable, bounded and accountable.
Paulina coordinates specialised agents for knowledge, documents, research, analysis and process steps. Every agent works with a clear task, approved sources and defined boundaries.
For SMEs & industry
A business agent needs more than a capable language model.
Productive agents require an identity, roles, permitted tools, data access, stop rules and human responsibility. PaulinAI brings these elements together in one local-first platform.
Minimum privileges
Each agent sees and uses only the sources and tools approved for its task.
Human approvals
Critical results and actions are submitted to a responsible person before execution.
Source grounding
Answers and decisions can be traced back to approved evidence.
Sensitive-data protection
External AI and web search are disabled for processes involving sensitive data.
Auditability
Relevant steps, tools and handovers are documented for review.
Introduce with control
From a defined process to productive local AI.
- 01
Define the task
Goal, inputs, output and professional boundaries are described unambiguously.
- 02
Assign permissions
Sources, tools and actions are approved according to the least-privilege principle.
- 03
Test approvals
Exceptions, manipulation attempts and critical handovers are tested during the pilot.
- 04
Coordinate agents
Several specialised agents can collaborate within one controlled workflow.
Practical use cases
What companies can improve in concrete terms.
Knowledge agent
Answers internal questions exclusively from approved sources and cites the evidence.
Document agent
Captures, structures and compares documents before a person approves the result.
Process agent
Coordinates recurring steps across systems and escalates defined exceptions.
Related solutions
Continue with the topics that fit your project.
Frequently asked questions
Clear answers.
Do PaulinAI agents work completely autonomously?+
Only within explicitly defined boundaries. Critical actions, exceptions and externally visible steps can require human approval.
Can agents access different data sets?+
Yes. Access is controlled separately by agent, user group and source.
Can an agent operate software without an API?+
Yes. Controlled browser and desktop automation can integrate existing user interfaces.
Which specialised agent can deliver value first?
We define the task, boundaries, sources and approvals for a secure pilot agent.