BxW Solutions

AI Agents

AI AgentsTask LogicTool UseApprovals

AI agents are strongest when task, context, data access and tools are defined with precision. Across different setups, BxW has developed agent logic that classifies information, prepares work steps, evaluates data, supports decisions and continues approved actions inside the system. The decisive factor is a clear operating frame in which AI can work reliably, be reviewed and interact with existing systems.

KI-Agenten

Details

What It Covers

We develop AI agents for task areas where context, data sources, tool connections, rules and approvals need to be aligned precisely.

Role, goal, knowledge, permissions, tools, error logic and quality checks are built so the agent can operate within the digital system in a controlled way.

AI becomes a reliable component of productive work: close to data, integrated into systems and aligned with concrete operational requirements.

Implementation

Scope & Building Blocks

Task Logic

RoleGoalContextBoundaries

Data Access

KnowledgeSourcesPermissionsRules

Tools

APIsSystemsWorkflowsInterfaces

Control

ApprovalsTestsError logicQuality

Fine-Tuning & Model Training

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

Model Training•AI

Multi-Agent Systems

When requirements need several perspectives, review steps and handovers, AI becomes a controlled architecture of roles, rules and quality assurance.

Multi-Agent System•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