Agentic AI

Controlled AI automation with security and governance

AI-based agents that execute complex tasks in multiple steps while following clear rules, integrating tools, and maintaining human oversight. Security, monitoring, and governance are central.

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The Challenge

AI systems that act without limitations can make wrong decisions, cause security risks, and act opaquely. Companies need agents that follow clearly defined boundaries, are monitored, and only act where their value outweighs the risks. Lack of governance and monitoring can make the use of AI risky.

Typical Use Cases

  • Automation in customer service with defined escalation to support staff.
  • Document processing and case handling with clear rules and controls.
  • Code assistance and software development with AI that takes over subtasks but does not make final decisions.
  • Analysis of complex data with AI support that structures results and requires human approvals.

Our Contribution

Agentic Workflows

  • Conception and implementation of multi-step agents that process complex tasks in a structured manner.
  • Integration of specialized tools and services (e.g., databases, APIs, planning tools) to extend an agent's capabilities.
  • Definition of clear handover points to human decision-makers to control the agent in a controlled manner.
  • Ensuring that agents only act in defined areas and do not make cross-cutting decisions.

Production-Grade Agentic AI

  • Monitoring of agent performance, logging, and telemetry for ongoing surveillance.
  • Security mechanisms such as least-privilege access, role models, kill switches, and prompt filtering.
  • Evaluation processes and benchmarks for objective assessment of agent performance.
  • Governance guidelines for defining responsibilities, review processes, and approval workflows.

Our Approach

1

Use case identification: Precise definition of the business problem and delimitation of the task area for the agent.

2

Agent architecture: Design of agent logic including tool integration, decision rules, and control points.

3

Implementation: Building the agent, integrating required systems, and defining security mechanisms.

4

Test and evaluation: Conducting controlled experiments, performance measurement, checking for unwanted behaviors.

5

Secure operation: Establishing monitoring, alerting, and governance to ensure responsible use.

We use proven frameworks and develop customized solutions, placing transparency and security at the center.

Responsibility

We take responsibility for agent design, implementation of security architecture, and continuous evaluation. The client defines the domain context, decides on intervention points, and determines the final results.

Delivered Outcomes

Use of AI agents that complete tasks efficiently and reliably without losing control.

Reduced manual effort while maintaining security and compliance guidelines.

Traceable and verifiable decisions thanks to logging, telemetry, and audit trails.

Secure framework conditions for scaling AI-based automation projects.

Let's talk

Use AI responsibly. Together we develop agentic workflows that deliver measurable benefits while remaining secure and transparent. Contact us to take your processes to the next level with agentic AI.

Contact

GreenVee