Clear process boundaries
Start, result, roles, exceptions and escalations are defined before automation begins.
From an individual task to a controlled workflow
AI process automation that does more than answer – it executes controlled workflows.
Paulina coordinates knowledge, rules, specialised AI agents, applications and human approvals in accountable business processes.
For SMEs & industry
A good AI process connects decisions with controlled actions.
Many automations stop at a text suggestion. PaulinAI carries defined steps forward: reading data, checking content, operating systems, preparing decisions, requesting approval and documenting results. Critical actions remain with people.
Specialised agents
Every agent receives a bounded task, defined tools and only the necessary permissions.
Human approvals
High-risk or externally visible steps pause until they are consciously confirmed.
Existing systems
APIs, files, databases, browsers and desktop applications are orchestrated together.
Logged handovers
Relevant decisions, sources and handovers remain traceable.
Measurable value
Cycle time, errors, enquiries and manual handovers are compared before and after the pilot.
Introduce with control
From a defined process to productive local AI.
- 01
Map the process
The real workflow, its variants, media breaks and responsibilities are made visible.
- 02
Define controls
Permissions, data classes, approvals, stop rules and logging are specified.
- 03
Pilot the workflow
A limited process variant is tested under control with real data.
- 04
Scale the value
Proven components are transferred to further variants, teams and locations.
Practical use cases
What companies can improve in concrete terms.
Enquiries and quotations
Collect information, check completeness and prepare a draft ready for approval.
Service and maintenance
Classify reports, assign knowledge, prepare actions and document handovers.
Documents and invoices
Extract data, compare it with master data, flag deviations and submit for approval.
Related solutions
Continue with the topics that fit your project.
Frequently asked questions
Clear answers.
How does AI process automation differ from a chatbot?+
A chatbot primarily answers questions. A controlled AI process reads defined data, performs permitted steps, waits for approvals and documents the result.
Can we start with a small process?+
Yes. A frequent, tightly scoped workflow with clearly measurable value is usually the best entry point.
Do people remain responsible?+
Yes. Roles, approvals and escalations ensure that professional and legal responsibility is not handed to a system without control.
Which workflow consumes unnecessary time today?
In the initial meeting, we scope a suitable process and determine which steps can be automated and which should require approval.