Agentic Automation
Control Autonomous Operations Across Hybrid and Cloud Environments

Managing diverse automation tools across mainframe, cloud, and distributed environments leads to IT orchestration chaos, manual handoffs, and inconsistent decision-making. This fragmentation results in service outages, increased operational costs, and an inability to gain end-to-end visibility across critical business processes. Recognizing this challenge highlights the need for a unified control plane that can integrate and orchestrate across heterogeneous landscapes, offering decision-makers a clear path toward more reliable and efficient operations.

The retirement of mainframe experts highlights a critical skills gap that can make IT leaders feel the weight of their responsibility to maintain operational stability and support modernization efforts. This challenge underscores the need for proactive strategies to ensure continuity and innovation.

Technical issues often result in service outages, which can erode credibility and make engineers feel their efforts are insufficient. Incomplete audit trails and transparency gaps increase compliance risks, highlighting the need for immediate attention. Traditional automation's lack of adaptability and observability hampers effective governance and risk mitigation.

While the potential of AI is recognized, enterprises often lack the necessary infrastructure and governance frameworks to embed AI effectively into real workflows. Highlighting these gaps can make enterprise leaders feel responsible and motivated to prioritize solutions, which is essential for fostering a proactive approach to AI integration.

Unlike many traditional schedulers, ANOW! Automate offers native support for SAP web service and BAPI calls, enabling direct access to core SAP functionalities. This integration ensures your automations are robust, maintainable, and aligned with SAP best practices, ultimately reducing development time and effort.

We embed AI directly into the orchestration runtime, supporting dynamic, event-driven graph synthesis for adaptable workflows. This enables intelligent, agentic capabilities within strict governance boundaries, ensuring the system remains reliable and flexible for evolving needs. This allows for autonomous decision-making and action while preserving control, compliance, and traceability. Our solution facilitates multi-agent collaboration within policy boundaries, ensuring full observability and auditability for every AI-assisted decision.

Our solution shifts the focus from merely executing jobs to achieving measurable business outcomes. It provides intent-driven execution, prioritization based on business impact, and self-optimizing routing that adapts execution paths dynamically based on performance and telemetry. This continuous adjustment transforms orchestration into an adaptive, impact-driven enterprise control, reducing bottlenecks and proactively addressing potential issues at machine speed.

Our platform extends observability beyond infrastructure metrics to provide real-time orchestration intelligence directly linked to business impact. It quantifies financial exposure to system failures, forecasts SLA breaches, and models systemic risk, turning telemetry into executive decision data. This enables dynamic dashboard assistance andecision-making support for leadersd conversational interfaces for interrogating operational data, accelerating decision-making, and transforming observability into a strategic governance instrument.

Benefit from 40+ years of experience from a global vendor committed to local compliance (e.g., GDPR and ISO 27001), data security, and peace of mind for highly regulated industries.

Implement self-healing, adaptive responses, and autonomous recovery at machine speed, significantly reducing downtime and escalations across your hybrid IT.

Achieve dynamic orchestration that eliminates bottlenecks and accelerates time-to-result, ensuring critical business processes are completed efficiently and reliably.