AI & Automation
How much time does your organization lose to repetitive, manual processes? Agentic workflows offer a smarter way forward: workflows that understand context, take autonomous actions, and only involve people when human expertise is truly needed. Move beyond isolated AI experiments and limited point solutions. Build a future-proof approach to AI-driven automation.
For retailers, wholesalers and brands with complex data landscapes, automation is no longer optional. Combine integrations, automation and Agentic AI to create smarter workflows that reduce manual effort, minimize errors and scale with your business.
Maintain full control through visibility, logging and reliable governance. Build a solid foundation for continuous automation and AI adoption across your organization. XSARUS helps you achieve this with an orchestrated approach that empowers your teams to build and expand AI-driven workflows themselves.
Where AI & Automation delivers immediate value
AI only creates value when it becomes part of your business processes. That's why we focus on the operational workflows where data, automation and AI come together.
- Inventory allocation and fulfilment
Intelligent orchestration between OMS WMS, ERP and e commerce platforms for multichannel delivery. - Returns and RMA processes
Automated handling of return registration, inventory adjustments and customer communication. - Content publication and distribution
Automatically publish product information to marketplaces, feeds and social channels. - Promotion and pricing rules
Dynamic price updates and promotional campaigns across PIM, e commerce and marketing tools. - Quote to Cash flows
From quotation to invoicing: automated price validation, approval flows and invoice processing, including AI driven anomaly detection. - Intelligent Document Processing IDP
Automated processing of commercial documents such as contracts, product feeds and invoices. - Identity driven processes
Secure login and authorisation within your flows via Identity Providers such as Azure AD or Okta.
AI in de flow: from assistance to autonomy
AI should be embedded throughout your automation strategy. AI assistants enrich data, detect anomalies, route information and generate content, all within clearly defined guardrails. The next step is agentic workflows: processes that can independently make decisions and execute actions based on your business context and policies.
Take it one step further with XSARUS IP. Extend standard AI agents with your own recipes, business logic and reusable components. Accelerate implementation while creating a solution that differentiates your business, fully embedded within your security and governance framework.
How to build agentic workflows
Automation without a clear strategy leads to fragmented processes and inconsistent outcomes. Our pragmatic approach helps you build AI automation step by step.
- Automation Quickscan: we analyse your processes and identify three to five workflows with the highest impact, including document driven processes.
- Blueprint and guardrails: we define agreements on data contracts, security, observability and AI governance.
- MVP flows: the most critical flow goes live, including AI assistance and IDP where it adds value.
- Scale towards agentic: step by step, with measurable KPIs and governance.
Technology & tooling
The right technology stack enables scalable agentic workflow automation. We work with a modular architecture that easily adapts to new technologies and AI innovations, including:
- Workato: Low-code automation with real-time workflows, monitoring and AI agents.
- Alumio: Configuration-first iPaaS for complex commerce and PIM processes.
- Microsoft Azure: Enterprise automation, document processing and AI integrations within a trusted Microsoft environment.
- NocoDB: Structured data layer for managing, enriching and exposing structured data. It can also serve as the starting point for workflows and AI processes.
- n8n: Flexible workflow automation for AI-driven processes and agents.
- OpenRouter: LLM layer that provides access to multiple AI models through a single layer. This prevents dependency on a single vendor.
- Kubernetes & RabbitMQ: Runtime layer that provides scalability, reliability and the processing of large volumes of tasks and message streams.
With this modular architecture, you benefit from maximum flexibility while avoiding vendor lock-in.
