Enterprise AI & RAG solutions

Assistants that answer from your own data — and show where the answer came from

We design retrieval-augmented generation on Azure OpenAI, Azure AI Search and Azure Document Intelligence, grounded in your company’s documents, templates and databases. This is not a slide deck: the same core runs our own website assistant in production and three complete industry reference implementations. Your project starts from a working system, with the edition and knowledge base built around your business.

Key Capabilities:

  • Grounded answers from your own documents, with source citations
  • Bilingual Turkish/English by text and by live voice
  • Relevance filtering, so an unanswerable question gets an honest answer
  • Lead capture, scoring and automatic wrap-up of conversations nobody ended
  • Three industry reference implementations: hospitality, real estate and healthcare
  • Single-tenant on your own Azure subscription, in the region you choose

Microsoft Fabric & data engineering

Data foundations for AI and analytics

For organizations dealing with shipments, billing, operations, or financial data, YazılımAI builds Microsoft Fabric data platforms that are ready for both BI and AI.

What We Deliver:

  • Dataflow Gen2 pipelines to ingest Excel, CSV, PDF and database data
  • Lakehouse architecture with Delta tables and PySpark Notebooks
  • Automated data-quality checks (deduplication, validation, business rules)
  • Power BI models and dashboards fed from the same trusted data layer
  • Real-time data streaming and processing
  • Data governance and security implementation

Full-stack .NET & Blazor applications

Modern business applications on Azure

YazılımAI builds full-stack web applications using ASP.NET Core, Blazor (Server & WASM), and SQL Server / Azure SQL. From admin portals to line-of-business systems, applications are designed for long-term maintainability, clean architecture, and secure deployment on Azure.

Technology Stack:

  • Component-based UIs with Blazor and Syncfusion
  • RESTful APIs with authentication and role-based authorization
  • SQL schema design, optimization, and reporting views
  • Deployment on Azure App Service with CI/CD and monitoring
  • Responsive design for desktop, tablet, and mobile
  • Performance optimization and caching strategies

Custom business systems with optional AI

Workflow-first business applications

Instead of a one-size-fits-all product, we design business systems around each client’s workflow, built with .NET, Blazor and SQL Server. They can be extended with Azure AI features such as assistants, retrieval over operational data and smart recommendations — or run with no AI at all.

Custom Solutions Include:

  • Customer relationship management tailored to your sales process
  • Inventory and order management systems
  • Financial tracking and reporting
  • Project management and resource allocation
  • AI-powered insights and recommendations
  • Integration with existing business tools

AI agents & human-in-the-loop workflows

Automation that still asks before it acts

Where one assistant is not enough, we design specialised agents for sales, document search, reporting, support and email, with routing between them. Anything with commercial or legal consequence passes through an approval gate: the agent drafts, a person decides, and the decision is logged.

What this looks like:

  • Specialised agents with server-side routing between them
  • Approval gates on pricing, contracts, payments and binding offers
  • An email agent that drafts replies and queues them for a person
  • Role-based authorisation and an audit record of every action

Multi-model AI & evaluation

Do not take one model’s word for it

We set up multi-vendor model access over your own documents, so one question can be put to several models at once and one vendor’s model can review another’s draft. Usage is measured per model, and a model with no key configured is never called at all.

What this looks like:

  • Azure OpenAI, Microsoft Foundry, Anthropic and Google from one screen
  • Side-by-side comparison where every model reads identical evidence
  • Cross-vendor review — a model never reviews its own draft
  • Token and cost visibility per model, with unknown reported as unknown

Finance & business automation

Deterministic where it must be, assisted where it helps

The Finance & Accounting module gives you a double-entry ledger, multi-company books, receivables and payables, cash and bank, budgets and deterministic cash-flow forecasting — with an optional AI Copilot whose figures come from the accounting engine and are verified by code. Around it we automate the approval, document and reporting workflows that surround finance. The module is engineering-complete and not yet deployed anywhere; it is a country-neutral accounting core and carries no Turkish statutory compliance.

What this looks like:

  • A general ledger where a person approves and posts every figure
  • Import from spreadsheets or a system you already run, always previewed
  • Document extraction that proposes values a person confirms
  • An AI that can read your reports but cannot post, approve or pay

Custom integrations & legacy modernisation

Connect what you already run

We connect an AI or reporting layer to the systems you already have — databases, APIs, document repositories, ERP, CRM, property-management and hospital systems — and replace manual and spreadsheet-driven processes. Where the target is a ledger, imports preview first, create only drafts, and never write back into your source system.

What this looks like:

  • Read-only database and HTTPS connectors behind a stable interface
  • Idempotent imports: re-importing the same document changes nothing
  • Conflicts surfaced for a person to resolve, never silently overwritten
  • Spreadsheet and paper processes replaced by auditable workflows

Azure architecture, deployment & handover

Your subscription, your region, documented

Every deployment is single-tenant: your own App Service, Azure SQL database, Key Vault and AI Search indexes, provisioned by script into the subscription and region you choose. The provisioning previews by default — nothing billable is created without an explicit instruction — and the steps that stay manual are written down as a checklist rather than implied away.

What this looks like:

  • Scripted, repeatable provisioning that previews before it applies
  • Secrets in Key Vault, managed identity on the App Service, HTTPS only
  • Log Analytics and Application Insights provisioned for your monitoring
  • A read-only validation pass and a handover report with no secret values

Ready to start?

Tell us what you are trying to solve and what form your data takes. That is enough for a first conversation.

Get in Touch