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Cloud Platform
Conversational AI for business data and organizational knowledge
An AI-powered business intelligence platform that lets users interact with company data, documents, databases, and business systems using natural language — no SQL or complex dashboards required.
by Wansify
Overview
Instead of requiring every business user to understand SQL, reporting tools, or complex dashboards, the AI Knowledge & Analytics Platform provides a conversational interface for accessing business information. Users ask questions in plain language and receive answers as text summaries, data tables, KPI cards, charts, comparisons, and trends — grounded in the organization's actual data and documents via RAG architecture.
Natural language queries like sales totals, top customers, and trend comparisons.
Responses as text, tables, KPI cards, bar/line charts, comparisons, and insights.
Connect PostgreSQL, MySQL, SQL Server, APIs, ERP systems, and business applications.
Upload policies, manuals, SOPs, product docs, training material, and FAQs for AI answers.
Documents → Embeddings → Vector Database → Retrieval → LLM for grounded responses.
Map database schemas to business terminology so non-technical users can ask questions.
Configure LLM providers, prompts, data connections, knowledge sources, and permissions.
Track questions, response latency, model usage, RBAC, tenant isolation, and audit logs.
Benefits
Clear outcomes from day one — built to simplify operations and help your organization work smarter.
Tech stack
Suitable for
Enterprises, management teams, finance departments, sales organizations, operations teams, ERP users, analysts, and organizations looking to make internal data accessible through AI.
AI add-on
Every Wansify product can be extended with custom AI assistants and chatbots — trained on your data, embedded in your workflow, and ready to support customers or staff 24/7.
Extend AI Knowledge & Analytics Platform with an AI assistant trained on your business data — for customers, staff, or both.
In-app AI assistant inside CRM, LMS, gym app, store, or support desk.
Responses grounded in your manuals, FAQs, product catalog, and policies.
Floating chat on your site that connects to your product or knowledge base.
OpenAI, Claude, Gemini, or local models with custom prompts and guardrails.
Quick answers
The AI Knowledge & Analytics Platform is Wansify’s conversational business intelligence product. Users ask questions about company data, documents, databases and business systems in natural language, with no SQL or complex dashboards, and get grounded answers.
Enterprises, management teams, finance, sales and operations departments, ERP users, analysts, and organisations that want internal data and knowledge accessible through AI.
The platform connects to PostgreSQL, MySQL, SQL Server, APIs and ERP or business applications, and indexes policies, manuals, SOPs and product documents through a RAG pipeline. A semantic layer maps database schemas to business terms. Users ask questions and get text summaries, tables, KPI cards, charts and comparisons, while admins control LLM providers, permissions, audit logs and tenant isolation.
Asking for sales totals, top customers and trends in plain language. Letting non-technical teams query databases without SQL. Answering policy and SOP questions from internal documents. Reducing routine report requests to analysts. Combining ERP, database and document knowledge in one assistant.
It is Wansify’s AI platform for asking questions about business data and documents in natural language and getting answers as text, tables, KPI cards and charts.
No. A semantic layer maps database schemas to business terminology, so users ask questions in plain language.
PostgreSQL, MySQL, SQL Server, APIs, ERP systems and other business applications, plus uploaded documents such as policies, manuals, SOPs and FAQs.
Answers are grounded in your own data and documents through a RAG pipeline of embeddings, a vector database, retrieval and the LLM, instead of generic model knowledge.
It includes role-based access control, tenant isolation, audit logs and usage tracking, and admins choose which LLM providers and data connections are allowed.