Agentic Al Services

We start with a collaborative 4-hour Ideation Workshop tailored to a specific business line or function (Finance, HR, Administration, Legal, etc.). Together, we identify high-impact, ready-to-transform processes—those with delays, manual coordination, or inefficiencies that Agentic AI can address. We co-create back-of-the-envelope business cases to estimate potential value and perform an impact-feasibility analysis to prioritize the most promising opportunities for implementation.

We conduct a focused two-day session to examine your selected use case in depth. Together, we assess data readiness and confidentiality needs, define end-user roles, and evaluate adoption potential. We refine the business case with realistic time and effort estimates while designing a value-tracking approach to ensure the solution delivers on its promise.

Over six weeks, we use process mining to reveal bottlenecks and identify the best starting points for Agentic AI integration. We then design, build, and test the agentic solution, addressing key challenges along the way. This phase enables precise value realization estimates and provides a validated foundation for broader deployment.

We design the overall integration architecture, develop interfaces, and align on Change Management with clear Adoption KPIs to ensure readiness across your IT landscape.

Platform: Over eight weeks, we deploy our GenAI OS platform with built-in guardrails, security, and governance, providing a robust foundation for multi-agent workflows across multiple business processes.

Data: We enable seamless integration of operational data from different departments and silos to ensure agents have AI-ready inputs. This includes establishing strong knowledge management, access controls, and policies for handling sensitive data, permissions, and retention requirements.

We design learning journeys and train end users to maximize adoption. This includes onboarding new process components into Agentic workflows to ensure continuous improvement and long-term success.

Xebia moves enterprises from GenAI pilots to production-ready execution. Our intelligent agents plan, act, and adapt within live workflows, automating high-volume, decision-heavy processes like customer service, claims handling, and HR operations, delivering measurable efficiency and faster time-to-value.

Xebia combines deep AI engineering, process mining expertise, and cloud-native architecture to design collaborative multi-agent systems. From custom LLM-powered agents, leveraging leading models such as Claude by Anthropic, to enterprise deployment on our GenAI OS, we build secure, scalable, and industry-aligned solutions co-created with leading clients.

Xebia’s agentic solutions are enterprise-ready, built on GenAI OS using open standards and hyperscaler-native components and accelerated AI infrastructure powered by partners such as NVIDIA. With built-in governance, observability, guardrails, and modular architecture, we support secure orchestration of hundreds of agents across multiple business processes.

Agentic AI automates complex processes by deploying autonomous agents that reason, adapt, and coordinate across systems. Instead of following fixed scripts, agents interpret context, manage exceptions, and execute multi-step decisions. This enables scalable automation of high-variance workflows while maintaining governance, resilience, and measurable operational impact.

Xebia’s agentic AI solutions reduce manual coordination, accelerate cycle times, and improve accuracy in decision-heavy processes. With structured data extraction, domain-trained agents, and human-in-the-loop validation, organizations gain efficiency, compliance, and measurable operational impact at scale.

Agentic AI is a better fit when workflows involve variability, unstructured data, or contextual decision-making. Unlike rule-based automation, it adapts dynamically to changing inputs and edge cases. It’s most effective in processes requiring reasoning, cross-system coordination, and continuous learning rather than deterministic, repetitive task execution.

Xebia begins with a structured adoption journey: a 4-hour ideation workshop to identify high-value use cases, followed by enablement sessions to assess data readiness and adoption needs. Process mining reveals bottlenecks, ensuring agentic solutions target measurable, high-impact opportunities.

Agent-to-agent system design involves multiple specialized AI agents collaborating to achieve shared objectives. Each agent performs a distinct role while coordinating through structured communication. This modular architecture improves scalability, resilience, and clarity of responsibility, making complex enterprise automation more manageable and governable.

Multi-agent orchestration coordinates multiple agents within a structured workflow, enabling collaboration and shared state management. Individual deployment limits automation to isolated tasks. Orchestration supports interdependent decision-making, centralized monitoring, and adaptive execution, making it better suited for complex, enterprise-scale automation environments.

Across industries, Xebia has delivered measurable impact for global enterprises with AI-driven automation: 95% reduction in manual email sorting and 80% fewer missed opportunities in travel; faster claims handling in insurance; accelerated credit underwriting via document extraction; improved banking query resolution; and 90% automated broadcast labeling.