Pre-sort email and documents.
Classify requests, extract details from invoices or forms and assign them to the right case.
- Document processing
- Data extraction
AI that prepares documents and email workflows – while keeping exceptions visible.
We build workflows that classify email and documents, extract information and prepare checks. Fixed rules determine what may continue automatically; uncertain or consequential cases remain visible and require approval by a responsible person.
What AI can take over in a clearly bounded workflow.
It is useful where content varies but the result can still be reviewed by the responsible team.
Prepare checks and flag exceptions.
Pre-check criteria, summarise information and keep missing or uncertain values visible.
- Pre-check
- Classification
- Approval
Connect approved knowledge and existing systems.
Approved content supports clearly bounded questions. Only confirmed results are passed to existing software through authorised APIs.
- AI assistant
- Knowledge access
- API & workflow
Which technology should handle which part?
Fixed rules handle unambiguous conditions. AI processes variable content. Responsible people decide when context or consequences matter.
Fixed rules check unambiguous conditions.
When conditions are stable and can be expressed completely, conventional automation is the simpler and more traceable solution.
Examples: Required fields · Thresholds · Status changesAI processes variable content.
When language, documents or wording vary, AI can recognise and organise content and prepare a reviewable suggestion.
Examples: Extraction · Classification · DraftingPeople decide when exceptions arise.
Ambiguous, consequential or rare cases remain with a responsible person, with the necessary preparation available in one place.
Examples: Exception · Approval · EscalationA pilot has to hold up against real cases.
We limit the first pilot to one coherent workflow and test typical cases, edge cases, permissions and approvals. Integration follows only when quality, failure handling and operation are traceable.
See our development processWhen AI makes sense – and when it does not.
Sometimes a fixed rule, a better interface or a dependable integration is the better solution. We therefore assess the benefit first and choose the technology second.
A useful first case
The case recurs frequently, representative examples are available and the result can be reviewed by the responsible team. A named person can assess exceptions and corrections.
Not a useful AI case yet
The goal, data basis or ownership is unclear – or a consequential decision is meant to run without visible review. In that case, we first clarify the workflow or use a fixed rule or better integration.
BornAI demonstrates the approach on this website.
A free project description is structured into a category, a possible initial scope, open questions and risks. The result follows a validated format; if the model connection is unavailable, a limited rules-based assessment remains available. Contact details are sent only after a separate confirmation.
Questions about data, integration and a first pilot.
Can existing systems remain in place?＋
Often, yes – provided suitable APIs, imports or controlled handovers are available. We review access early and plan how statuses, failures and corrections flow back into the current workflow.
How do you handle sensitive data?＋
Before choosing a model, we clarify which data may be processed, why it is needed, who may access it and how long it is retained. Data minimisation, permissions and logging are defined for the specific workflow.
What happens when a result is uncertain?＋
We define in advance when a case may continue automatically and when it must be flagged, set aside or sent to a responsible person for approval. The handling of exceptions remains traceable.
What is needed for a first pilot?＋
A narrowly bounded workflow, representative examples, a reviewable target and the necessary system access. Real cases must show whether quality and operational value are sufficient.
Which recurring workflow is consuming unnecessary attention today?
Tell us about one recurring case, the systems involved and typical exceptions. We will assess what can be supported effectively with rules, AI or better integration.