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Our approach to powerful multi-agent systems

Successfully introducing multi-agent systems in small and medium-sized enterprises requires more than just modern AI technology; it requires a deep understanding of the company, clear goals, and a well-thought-out, flexible system design. We start by analyzing your company's actual starting point: processes, tools, employees, regulatory requirements, and the areas that require the most effort on a daily basis. Based on this, we work with you to define achievable goals and ensure that your employees are truly empowered by company-specific AI agents – powerful tools that make their daily work noticeably easier. In the design process, we rely on modular, secure, and vendor-independent architecture principles to avoid expensive lock-in effects and give you the freedom to take advantage of better offers or new AI technologies at any time.

Before a multi-agent solution can be developed, it is essential to have a precise understanding of the current setup. This includes:
 

  • Analysis of the existing tool and system landscape (e.g., ticket systems, DMS, CRM, ERP)

  • Overview of AI tools already in use (e.g., chatbots, automations, copilots)

  • Understanding of business processes and employee roles

  • Identification of areas with the greatest manual effort

  • Assessment of the regulatory environment (e.g., GDPR, data protection, industry-specific requirements)

  • Comparison with the typical resources and budget constraints of an SME

  • Goal: Create a realistic, pragmatic basis for deploying agents efficiently.

Architecture and processes
Process

The successful introduction of agents begins with clearly defined common goals—and an awareness of the added value that AI can offer employees:

  • Joint definition of goals (efficiency, workload reduction, quality, speed, automation)

  • Identification of relevant stakeholders (IT, specialist departments, management)

  • Clarification of expectations and key performance indicators

  • Ensuring internal approval, especially in small teams

  • Empowerment of employees:

    • Employees receive AI agents that are specialized for their own company

    • Agents act as personal digital assistants that take on work, provide knowledge, and automate routine processes

    • This results in a noticeable boost in productivity, which is extremely valuable in everyday SME operations

  • Promoting a positive attitude toward AI by clearly communicating its benefits and transparency

  • Realistic prioritization based on SME capacities


Goal: A clear, achievable target framework that provides real support to employees and is supported by all stakeholders.

Define Target
MultiAgent Flow
MS Teams mutliagent demo integration. Update Jira Issue based on meeting transcript

A technical and organizational blueprint for future agent landscapes is created:

  • Defining access to third-party systems (Jira, CRM, ERP, databases)

  • Developing a suitable authorization model:

    • Do agents act as users?

    • Do they use temporarily delegated rights?

    • Or do they work as separate agent identities?

  • Definition of agent roles and flows (code, low-code, no-code)

  • Focus on ease of use and low IT costs

  • Planning of a secure access model (SSO, OAuth, tenant protection)

  • Avoidance of vendor lock-in:

    • Large AI platforms often tie users to expensive, proprietary ecosystems.

    • Many functions are only available in high-priced licenses.

    • Modular architecture (integration layer, flow designer, LLM module) creates full flexibility.

    • Companies can use cheaper LLMs or new providers at any time.

  • Ensuring maintainability and expandability for future requirements


Goal: A secure, flexible, and long-term cost-efficient system design without dependence on individual AI providers.

To make implementation feasible for companies, other factors should be taken into account:

  • Cost control: Transparent, modular cost models with a focus on predictability

  • Rapid implementation: Solutions that deliver real benefits in the short term

  • Low complexity: Intuitive operation and simple configuration

  • Training & enablement: Empowering employees to use agents effectively

  • Support & further development: Ensuring operation without a large in-house IT department

  • Preventing vendor lock-in:

    • Consciously selecting technologies so that change is possible at any time

    • SMEs retain the freedom to use new models, providers, or toolchains

    • Protection against expensive dependencies that only become apparent later

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