Agent development
Your customers expect your software to think along. We build the agent that makes it possible—and integrate it into your existing product.
Software vendors are facing the question: How do I get AI into my product? Not as a chatbot gimmick, but as real value that automates processes and makes customers more productive.
The hurdles
Lack of know-how
Prompting, agent pipelines, security (prompt injection), and harness design are specialized fields.
Complex integration
The agent must access business data, respect user permissions, and fit into existing workflows.
Hard-to-measure quality
When is an agent “good enough”? How do you test it? How do you measure success?
What we deliver
1. Analysis & conception
Which of your customers’ processes are suitable for agentic automation?
Where is the greatest leverage (quick wins vs. strategic investment)?
Which data sources does the agent need? How is access secured?
Architectural design: Agent pipeline, security model, and integration layer.
2. Agent implementation
The pipeline (agentic workflow / harness)
No agent without guardrails. We build a defined pipeline that ensures the AI operates in a controlled manner:
Security check: Prompt injection detection and input validation.
Context enrichment: Loading business data (via MCP or API calls).
Skill selection: Finding the right resolution strategy for the request.
Execution: AI generates the result based on context + skill.
Validation: Reviewing the output, incorporating human-in-the-loop where necessary.
Output: Returning the structured result back to the host system.
Integration layer
MCP server: Standardized access to your software data for the agent.
CLI tools: Command-line interface for agent-driven actions.
Skills: Documented action guides (Markdown) that the agent uses as recipes.
Webhook/event integration: The agent reacts to real-time events in your software.
Security
Two-stage prompt injection detection (regex + LLM)
Role-based access control (RBAC)
Audit trail via OpenTelemetry
Human-in-the-loop (HITL) for write operations
GDPR-compliant data storage (on-premises deployment possible)
3. Skill system
Skills are the core. They transfer the expertise of your support team or power users into reusable, trainable building blocks:
No-code: Skills are simple Markdown files featuring conditional logic and tool references.
Editable: Configurable via a management console or directly in the repository.
Versioned: Managed in Git with full review processes and rollback capabilities.
Testable: Automated test data loops run against defined scenarios.
4. Measurement & optimization
- KPI dashboard: Tracking processing times, success rates, and cost per transaction.
- A/B testing: Comparing performance of different skills and prompts.
- Test data loops: Systematic regression testing against historical cases.
- Continuous optimization based on performance metrics.
Master AI integration: Systematically and without hurdles.
Transform your application from a simple utility into an active, thinking assistant. We support you from initial analysis to the secure deployment of the agent pipeline in your existing product.
