BxW Solutions

Multi-Agent Systems

Multi-AgentRole LogicHandoversQuality Assurance

Multi-agent systems are relevant where complex work does not fit into a single role. Analysis, research, structuring, review, evaluation and implementation can be mapped into specialized AI roles. For these setups, BxW develops architectures where tasks, handovers, context, tools and approvals work together cleanly.

Multi-agent system with specialized AI roles, handovers and quality assurance

Multi-Agent Systems

Details

What It Covers

We develop multi-agent systems for requirements that need several roles, data sources, work steps, review mechanisms or system handovers.

Specialized AI roles work with clear tasks, contexts and boundaries. Handovers, rules, tools and approvals turn individual work steps into a controlled flow.

Complex work becomes more structured, traceable and easier to guide. Results emerge from a directed system of roles, control and quality.

Implementation

Scope & Building Blocks

Roles

ResearchAnalysisStructuringReview

Flow

HandoversStatesRulesApprovals

Systems

APIsWorkflowsDatabasesInternal tools

Quality

MonitoringError logicControlFurther development

Fine-Tuning & Model Training

Training data, synthetic examples, evaluation and model comparisons become a controlled quality process.

Model Training•AI

AI Agents

For demanding requirements where AI operates with clear context, suitable tools and controlled approvals inside digital workflows.

AI Agent•AI

AI knowledge system with RAG, document context and controlled answers

AI Knowledge Systems

Documents, data sources and business logic become a stronger foundation for search, answers and AI-assisted work.

Knowledge System•AI