AI Reporting and Data Assistant (KAIRA)
- Customer
- Kariyer.net
- Project manager on the customer side
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- Year of project completion
- 2025
- Project timeline
- May, 2025 - September, 2025
- Project scope
- 80 man-hours
- Goals
- KAIRA aims to empower business teams with instant, AI-driven data access and automation. The goal is to reduce analysis turnaround times by 90%, operational costs by 40%, and improve revenue-generating decisions by 20%. By enabling natural language queries for data, feeding campaign platforms with segmented product lists, and dynamically generating target audiences for CRM tools, KAIRA transforms how organizations consume data.
- Project Results
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- 90% reduction in average analysis time
- 40% decrease in operational workload for data teams
- Up to 20% revenue uplift through improved decision-making
- 3x increase in dashboard usage by business users
- Full integration with CRM and campaign systems for activation
- Boosted data literacy and self-service culture across departments
The uniqueness of the project
KAIRA is not just an AI data assistant — it’s a full-scale framework that combines natural language understanding, automated SQL generation, CRM activation, campaign management, and self-service analytics. Its ability to operate across both structured BI environments and operational platforms (e.g. Insider, DEngage) sets it apart from typical AI tools. Built in-house, KAIRA adapts to local language, custom data models, and company-specific business terms.- Used software
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- Backend: Python, FastAPI
- AI Layer: Open-source LLMs (Qwen, Mistral) with RAG architecture
- Data Platform: Azure Synapse, SQL Server, PostgreSQL
- BI Layer: Power BI, Power BI Report Server
- CRM Integration: Insider, DEngage
- Metadata Governance: DataHub OSS
- Deployment: Dockerized on Kubernetes
- Difficulty of implementation
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Building a generative AI framework tailored to local business needs posed several challenges:
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Training open-source models with internal data dictionaries and user intents
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Integrating structured metadata with AI for governance compliance
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Ensuring data privacy and system performance in hybrid cloud/on-prem environments
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Aligning business units, IT, CRM, and data governance in a shared framework
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- Project Description
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KAIRA (AI Reporting and Data Assistant) is a next-gen AI framework developed in-house to automate data analysis, enhance CRM operations, and dynamically manage e-commerce campaigns — all through natural language input.
Business users can query data in plain Turkish (or English), receive instant visualized dashboards, and export SQL directly. The same assistant can also generate campaign product lists for e-commerce platforms based on user conditions, or prepare dynamic audiences for communication tools like Insider or DEngage.
KAIRA serves as a layer between the data warehouse and operational tools, reducing the dependency on data teams and democratizing access to insights. Integrated with metadata management systems and aligned with data governance rules, it enables faster, smarter, and more scalable analytics. - Project geography
- The project was developed and implemented in Turkey, with potential scalability to other regions. It supports local language NLP (Turkish), regional regulatory compliance, and localized CRM tools.