Document analysis
Document analysis is designed around your users, operational rules and measurable business objectives.
Emerging Technology
AI-Powered Software Solutions
Apply AI to real business processes with control
Apply AI responsibly to documents, search, support and content workflows.
Data
Model
Action
Classify document
Summarize thread
Route request
LLM integration
Document classification
Human-in-the-loop outputs
Data security assessment
Service overview
What is AI-Powered Software Solutions?
Apply AI responsibly to documents, search, support and content workflows.
We examine users, roles, data and integrations before defining a maintainable solution. The result is designed for everyday operations rather than a generic feature checklist.
Security, performance, accessibility and scalability are considered from the beginning so the product can evolve safely as your organization grows.
- Reduce manual work and avoidable errors
- Create one reliable source of operational data
- Improve visibility and accountability
Scope
What we build
Classification
Classification is designed around your users, operational rules and measurable business objectives.
Customer-service assistants
Customer-service assistants is designed around your users, operational rules and measurable business objectives.
Summarization
Summarization is designed around your users, operational rules and measurable business objectives.
Intelligent search
Intelligent search is designed around your users, operational rules and measurable business objectives.
Workflow support
Workflow support is designed around your users, operational rules and measurable business objectives.
Delivery model
How we work
- 01
Scenario assessment
We prioritize LLM, classification, and document needs together.
- 02
Data preparation
We organize training and reference document sets.
- 03
Prototype development
We code a limited-scope pilot flow.
- 04
Quality measurement
We measure accuracy, hallucination risk, and latency.
- 05
Human review design
We define approval steps for risky outputs.
- 06
Controlled expansion
After a successful pilot, we expand scope in phases.
System architecture
Example system architecture
We design a controlled stack from user interfaces through API, backend and data layers, with CRM, ERP, payments and third-party services connected where they belong.
Corporate documents
CRM / support
Application interface
LLM orchestration
Document processing
Classification service
Human review queue
Search index
Audit logs
Corporate documents
CRM / support
Capabilities
Technologies we use
- Node.js
- TypeScript
- PostgreSQL
- LLM APIs
- Authentication
- Cloud
- Next.js
- React
Our approach
Why Pars Medya?
Pars Medya combines business analysis, product design and software engineering in one accountable team. We communicate clearly, avoid unnecessary complexity and build maintainable systems that can grow with your organization and international ambitions.
Right problem selection
We apply LLMs to repetitive content work—not every problem needs AI.
Document efficiency
Structured information is extracted from long documents.
Classification support
Requests route by topic and priority; final decisions can stay with people.
Responsible use
We do not claim unverifiable success or ranking guarantees.
Access control
Sensitive data classification and permissions are assessed before the project.
Outcomes
What this delivers for your business
Faster information access
Semantic search across corporate documents saves time.
Assisted classification
Incoming requests pre-classify toward the right team.
Document summaries
Long contracts and reports appear as working summaries.
Human oversight
Critical outputs can pass through a review queue.
Measurable quality
Accuracy and coverage metrics are tracked during pilot.
Process-integrated AI
Classification and summary results feed into workflows.
Use cases
Where this service fits
Growing organizations
Teams replacing spreadsheets and disconnected tools with managed workflows.
Multi-team operations
Processes requiring shared data, approvals and clear responsibilities.
Digital products
Customer-facing services that need secure and scalable technology.
FAQ
Questions teams usually ask
How long does a ai-powered software solutions project take?+
Timing depends on scope, roles, integrations and migration needs. After discovery we provide a realistic phased plan.
Can the solution integrate with our existing systems?+
Yes. We assess available APIs and secure data-transfer options before defining the integration approach.
Do you provide support after launch?+
Yes. Monitoring, maintenance and further development can continue under an agreed support model.
How do you approach security?+
We apply least-privilege access, validation, auditability and secure delivery practices according to the project’s risk profile.
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Share your document, classification, or knowledge assistant need—we will propose a responsible LLM plan.