WagaLabs Assistant: one assistant, every source.

An intelligent orchestration platform – not just a chatbot. It routes every question to the right source, so users get one place for all their information. Ready to deploy, easy to customize for any client.

Our challenges

Users switch between docs, databases, and APIs to get answers - and still miss the right source.

  • Scattered knowledge - policy, legal, and procedural content across many systems.
  • Live data and documents live in different places; combining them manually is slow.
  • No single entry point - users don’t know where to look first.
  • Keeping answers accurate and compliant across documents and real-time data.

One entry point → smart routing → combined answers

WL Assistant gives organisations a single conversational interface to knowledge bundles, real-time data, external services, and custom tools. The system decides which source or search method to use based on the question, context, and user role - so answers combine the right documents and live data.

How we handle it

We provide an AI assistant built on AI Core, WagaLabs’ reusable orchestration platform. It can be deployed in cloud or on premise and customized to client’s needs.

Multi-bundle knowledge library


Semantic and hybrid search within documents, policies, procedures.

Intelligent routing

Document query → knowledge library,

Real-time question → database or API,

Complex question → multi-step agents.

Custom tools and integrations


Client workflows, MCP-style connections, database and API connectors.

Enterprise-ready


Role-based access, auditability (e.g. Langfuse), security and governance.

Start with one knowledge bundle and expand. The full vision spans across multiple bundles, databases, tools, and integrations. Fully configurable per client.

Key capabilities

Multi-bundle knowledge library

Multiple configurable bundles per client: general knowledge, legal docs, domain-specific. Multi-format support (PDF, Word, HTML, Markdown), rich metadata, and semantic + classic + hybrid search. All your client’s knowledge bases in one place - search by meaning or exact match.

Intelligent orchestration

Query routing: documents, databases, APIs, multi-step agents. Multi-source answers in one response. Context-aware: conversation history, user role, and workflow state influence where we look. Ask in plain language; WL Assistant figures out where to look and how to combine the answer.

Custom tools and integrations

Custom agents for client workflows, data quality, and analysis. MCP-style integration to internal and external systems. Database connectors and APIs for real-time and historical data. Plug in your client’s systems - WL Assistant talks to their data and their tools.

Security, access & observability

Granular permissions per bundle, tool, and document; role-based access and client-specific roles. Langfuse (or similar) for traces, token usage, cost, and why the orchestrator chose a tool. Enterprise-grade control and full visibility into how it works and what it costs.

The solution

Chat interface, knowledge bundles, orchestration, intergration.

WagaLabs assistant. The right side of the screen is chat with the assistant where you can ask for information and rate the usefulness of the sources where the information is from. The left side is a history of rated sources.
WagaLabs assistant logs a history of chats, where you can check the conversation, delete it, or make a new one.
Clicking on the source opens a window with the origin of the source and a link to it that you can copy.

Features

Our AI-augmented document solution transforms documents into structured, actionable data by combining advanced AI models with automated workflows.

Combined knowledge

Our solution combines knowledge from several sources that are in use (wikis, ticket systems, documentation etc.) and queries it for a comprehensive approach.

Improving sources

Because of access to several sources, AI can compare, relate and extract the exact information needed. If the source is not adequate, AI wil learn from our ratings and improve.

Context-aware analysis

Advanced AI models analyze the relationships between fields, sections, and values within a document to improve extraction accuracy and handle complex document structures.

One assistant. Every source. Ready to deploy.

WL Assistant routes every question to the right place – documents, live data, APIs, and custom tools. Combined answers, enterprise-ready security and observability, and a single conversational interface. Start with one knowledge bundle and expand.

Satisfied clients