AI agents for business process automation

We design and build AI agents that independently execute tasks, integrate with enterprise tools, and accelerate key processes. We use enterprise platforms with built-in security, access control, and governance.

Solutions Enterprise Applications

AI is not a one-off tool, but a gradual journey

AI is not a one-off tool or a quick replacement for people. It is a gradual journey that starts with digital foundations, continues through AI assistants, and only then makes sense to move toward autonomous AI agents. We help companies design this journey so that AI truly supports key processes, eases the burden on overloaded teams, and delivers long-term value.

At Aricoma, we combine business understanding, expertise in enterprise applications, and modern AI technologies. Thanks to our technological independence, we can select a solution that fits your environment, meets security and governance requirements, and can be developed step by step. From the initial design to agent-based scenarios, we guide you through every stage safely, meaningfully, and with real business impact.

What are AI agents

AI agents represent the next step in the evolution of enterprise automation. Unlike AI assistants, which respond to user requests, they operate with a clearly defined goal and independently plan and execute tasks across enterprise systems, from document handling to business applications and other tools. They do not just suggest solutions, but drive processes to a concrete outcome.

In practice, they often function as a system of cooperating agents, where each handles a part of the process, for example validation, processing in ERP, or writing results into other systems. This creates an end-to-end solution with minimal human involvement, increasing efficiency, consistency, and the speed of business operations.

Technologies and platforms for agentic AI

Explore the enterprise platforms on which we build agent-based scenarios. We help you choose the approach that best fits your application and process ecosystem.

IBM watsonx

IBM watsonx is an enterprise AI platform that enables building and running autonomous AI agents in a secure and governed environment. It combines agent orchestration, agent-enabled assistants, advanced models for planning and tool use, and control over enterprise data. This makes it possible to create complex agent-based scenarios across processes and applications.

NewgenONE Agentic AI

NewgenONE Agentic AI is an agentic platform designed for autonomous management and automation of business processes. It enables the deployment of specialized AI agents that independently execute tasks, make decisions within defined rules, and interact with enterprise systems. The platform includes agents such as Marvin, Harper, and LumYn, focused on automating routine work, analyzing interactions, and working with data, and supports their operation in a governed enterprise environment.

OpenText Aviator Platform

OpenText Aviator Platform is an enterprise platform for agentic AI that enables the secure and governed deployment of AI agents on top of company data, documents, and processes. It provides a unified framework for permission management, access control, auditability, and control of agent behavior in line with enterprise governance. The platform also supports the integration of tools, APIs, and processes into agent-based workflows that can be reliably operated and scaled in an enterprise environment.

SAP Joule Agents & Joule Studio

SAP Joule Agents and Joule Studio, as part of SAP Build, provide an environment for creating, deploying, and managing AI agents and their capabilities (skills). They enable orchestration of multiple agents across SAP and non-SAP systems, working with processes and data, and the gradual integration of agentic AI directly into business applications and workflows.

Typical use cases for AI agents

AI agents are most valuable where companies face repetitive operations, multiple system involvement, and pressure for speed, consistency, and process control. Unlike simple automation, agents can work with context, make decisions based on rules and goals, and independently execute tasks across applications. As a result, they are not only useful for individual tasks but especially for end-to-end scenarios, such as:

When does using an AI agent make sense

AI agents deliver the greatest value in processes with a clear goal and a repeatable sequence of steps, especially where multiple systems are involved, such as ERP, DMS, CRM, or service tools. When their coordination is handled manually, it creates unnecessary workload. An AI agent can take over operational tasks, ensure a consistent process flow, and free up employee capacity for higher-value work.
They are most effective where speed, accuracy, and traceability are critical, and where clear rules, permissions, and governance are in place. It is this combination of repeatability, multiple applications, and the need for control that creates the right conditions for deploying agentic AI in real-world operations.

Aricoma as your partner on the AI journey

At Aricoma, we are not tied to a single technology. We help you choose the right platform and design an agent-based solution that fits your ecosystem, meets security and governance requirements, and delivers measurable value to key teams. We design a realistic path from pilot to scaling and long-term development, without “AI without foundations.”