Document processing
Automatic analysis, summarization and structured processing so business data can reach the right place with less manual administration.
Not black-box AI, but a controllable service chain
The FlexPortals AI module is built from composable, independently supervised AI services. Its purpose is not to create standalone AI applications, but to accelerate existing enterprise processes: document processing, content analysis, search, classification, data extraction and natural-language querying.
How we use AI in development
The right AI can be connected for each task
The system can connect to different models and services from multiple AI providers. For content extraction, classification, summarization, search or analysis, each processing step can use the service best suited to the task.
AI processing can run with public services, but customer-side, self-hosted AI components can also be integrated. This allows the architecture to adapt to security, data handling and compliance expectations.
Public AI services
Own AI infrastructure
Customer-side integration
Documents, knowledge materials and enterprise data with AI support
The module supports concrete business tasks: less manual entry, faster search, better data extraction and natural-language access to information stored in the system.
Content extraction
Relevant business data can be extracted from PDFs, scanned documents or images: identifiers, dates, partners, amounts, item numbers and other fields.
Classification and summarization
Recognizes invoices, delivery notes, CMR documents, contracts, internal records or custom document types, and creates quick decision-support summaries.
Documentation indexing and AI chat
Internal documentation, policies and knowledge materials can be searched in natural language instead of folders and filenames.
Analysis of tabular data
Lists, datatable views and structured enterprise data can be analyzed in natural language, even across larger data volumes.
Spoken-style chat for enterprise data
Users can ask natural-language questions about documents, system data, deviations or relationships.
Typical use cases
Helps where many processes repeat
The FlexPortals AI module is strongest when files, including image-based files, need to be analyzed and made searchable in natural language together with other uploaded files.
Request consultationAutomatic processing of incoming documents
Processing PDFs or photographed/scanned documents received by e-mail: content extraction, classification, data recognition, filing and searchability.
Recognition of CMR, delivery notes, invoices, etc.
The file can be filed, and access control can be set automatically based on recognition of its content.
AI search across enterprise documentation
Internal documentation, policies and project materials can be indexed for natural-language search.
Automatic filing of e-mail attachments
Attachments can be filed in FlexPortals, categorized and made searchable with minimal manual intervention.
AI analysis of structured enterprise data
Lists and enterprise data displayed in the system can be analyzed in natural language, helping users reach business conclusions faster.
Fast AI-assisted development with senior engineering control
We combine the advantages of modern AI-assisted development with stable architecture, security and long-term maintainable engineering delivery.
Faster technical groundwork
AI is well suited to speeding up monotonous, repetitive and large-volume technical preparation tasks.
Senior review on every code path
Every solution that enters the system goes through experienced developer review, architectural fitting and optimization.
Rapid prototyping and validation
New ideas, features and process concepts can be tested, validated and refined in a short time.
Stable enterprise delivery
Speed never replaces security, consistent code quality or long-term maintainability.
A development model that is both fast and dependable
We combine the strengths of modern AI-assisted development methods: rapid iteration, high development speed, fast prototyping and creative exploration, with the strengths of senior engineering: stable architecture, long-term maintainability, security, consistent code quality and reliable operation.
The result is a development model that is fast, flexible and innovative while preserving the reliability, transparency and professional quality expected from enterprise systems.
Rapid prototyping
Deliberate AI usage
Senior engineering control
Stable architecture