Enterprise Agentic AI Platform

It is an enterprise Agentic AI platform that enables AI Agents with different areas of expertise to work together as a team. Agents can analyze tasks, share them, hand them over to one another, and run end-to-end processes within defined authorization and approval mechanisms.

Classic AI assistants mostly respond to a single request from a user. This platform enables multiple AI Agents with different roles and capabilities to work as a team toward a shared goal. As a result, it doesn’t just produce information; it can also carry out multi-step processes such as analysis, development, review, documentation, and operations.

The platform can be used to build different Agentic teams based on an organization’s needs. Examples include the Agentic Data Team, Agentic Software Team, SDLC Team, DWHOps Team, operations teams, and C-Level AI Assistants. New teams and use cases can also be designed specifically for your organization.

Teams made up of Agents with different specialties can be designed for areas such as Data Engineering, Data Quality, metadata and documentation, monitoring, error analysis, BI, and DWH operations. This structure is used especially in Agentic Data Team and DWHOps Team scenarios.

Yes. Software and SDLC teams made up of specialized Agents can be designed for requirements analysis, development, testing, code review, documentation, and certain DevOps processes.

For suitable backlog items, scenarios can be designed in which Agentic teams support the analysis, development, testing, and documentation stages. Repeatable, well-scoped development tasks are particularly strong candidates for this approach.

Both options are possible. Ready-made Agent team templates can serve as a starting point. Agent roles, tasks, tools, permissions, and workflows can then be customized to fit your organization’s processes.

No. Every organization has different systems, processes, security policies, and ways of working. On the platform, Agent roles, permissions, workflows, integrations, and approval mechanisms are customized to your organization’s use case.

No. The platform is not designed to replace your current technology ecosystem, but to bring Agentic AI capabilities into it. Integration scenarios can be built with your existing applications, data platforms, development tools, and other enterprise systems.

The platform has an architecture designed to work with external systems and tools. The availability of a specific integration depends on the existing connectors and the project scope. We can evaluate the systems you need together.

Yes. Agent permissions and the actions they can perform can be defined centrally. Critical actions are tied to policy and approval mechanisms so that Agents operate within defined boundaries.

Yes. With a Human-in-the-Loop approach, the process pauses at defined action or decision points and requests approval from an authorized user. This way, the final control over high-impact actions stays with people.

Yes. The platform's governance approach aims to make Agent activities, approvals, and process outcomes traceable end to end. This is especially important for enterprise processes with audit requirements.

Yes. It supports a self-hosted architecture that can run on your organization’s own infrastructure in line with enterprise security and data policies. This is an important advantage for organizations with strict data security and regulatory requirements.

In self-hosted deployments, the platform and its related components can be placed within your organization’s own infrastructure. Data flows depend on the selected AI model, integrations, and architecture, all of which are designed in line with your organization’s security architecture.

Yes. The platform’s architecture is designed to work with different model providers. Depending on your use case and security requirements, either cloud-based or local AI models can be used.

First, suitable business processes and use cases for Agentic AI are identified. Then the required Agent roles, integrations, security, and approval requirements are designed, and a pilot Agent team is created. Based on the pilot results, the scope can be expanded to new teams and processes.

Yes. We can evaluate together how the platform could be positioned using a specific use case from your organization, and where appropriate, start with a controlled PoC.