AI agent & agentic workflow services
Give AI the context, tools, and boundaries it needs to help complete real work.
XCentium designs and implements AI agents and agentic workflows that connect with enterprise data, applications, APIs, knowledge, and business processes. We define what an agent should know, what actions it can take, when people remain involved, and how the workflow should be monitored and governed.
Move beyond conversational prototypes
An AI agent becomes useful when it can do more than generate an answer.
It may need to retrieve trusted information, interact with a business application, call an API, update a record, trigger a workflow, request an approval, or hand the task to a person when the situation requires it.
That makes the systems around the agent as important as the model itself.
We design agentic workflows around the complete process, including data, tools, integrations, permissions, actions, escalation, evaluation, monitoring, and human oversight.
How we help with agentic workflows
Use-case & workflow design
Identify workflows where agents can provide meaningful value and define objectives, inputs, decisions, actions, success criteria, and escalation paths.
Agent design & orchestration
Design agents with clear responsibilities and coordinate multiple tools, systems, or agents when a process requires more than one step.
Enterprise data & knowledge connections
Give agents access to the approved customer, product, operational, content, knowledge, or other enterprise context required for the task.
Tools, APIs & actions
Connect agents with applications, APIs, automation, and enterprise workflows so they can take defined actions rather than only generate responses.
Human oversight & escalation
Define where approval is required, when an agent should stop or escalate, and how people remain accountable for higher-risk decisions and actions.
Evaluation, monitoring & governance
Test agent behavior, monitor performance, control access, manage costs, track actions, and refine workflows as real-world usage reveals opportunities for improvement.
Common challenges we help solve
AI assistants that cannot take meaningful action
Agents without reliable business context
Disconnected tools and enterprise systems
Unclear boundaries around agent actions
Workflows with too many manual handoffs
No human escalation path
Limited monitoring and evaluation
Security and permission concerns
Agent pilots that cannot move into production
Related platforms
CASE STUDY
Funko
We partnered with Funko to implement Salesforce Service Cloud and Agentforce for more connected customer support.
Contextual AI responses
Connected Agentforce with knowledge and commerce data.
Automated common requests
Supported order-status inquiries and eligible rewards enrollment.
Agent handoffs
Enabled authentication, case creation, and live-agent transfers.
Service visibility
Added service-level tracking and customer feedback measurement.
Related assessments & offers
AI use case workshop
Identify practical AI opportunities aligned to your business goals, workflows, and operational priorities.
Salesforce Agentforce IT service discovery workshop
Modernize IT support with AI-powered service operations
Contentstack Agent OS 2-week strategy & enablement sprint
Prioritize a high-value use case, develop a lightweight Agent OS implementation, and define next steps through a focused two-week sprint.
Frequently asked questions
An agentic workflow uses one or more AI agents to complete parts of a business process by interpreting goals, using approved information and tools, and taking defined actions. The workflow can include rules, automation, system integrations, approvals, monitoring, and human escalation.
XCentium provides AI agent and agentic workflow services across use-case identification, workflow design, agent architecture, enterprise-data connections, tool and API integration, orchestration, human oversight, evaluation, monitoring, governance, and implementation.
A chatbot primarily interacts through conversation. An AI agent can potentially use business context and approved tools to complete tasks or take actions within a workflow. Some agents may have a conversational interface, but conversation alone does not make a system agentic.
Yes. Depending on the technology environment, agents can connect with applications, APIs, databases, knowledge sources, workflow tools, and other systems. Access should be limited to what is required for the use case.
Human oversight can include approval steps, confidence thresholds, escalation rules, restricted actions, permissions, logging, monitoring, and defined situations in which the agent must stop and involve a person.
XCentium works with Microsoft AI services, Salesforce Agentforce, OpenAI, and Anthropic for agents and workflow automation. For content and experience workflows, relevant capabilities include SitecoreAI Agentic Studio, Optimizely Agent Platform, Contentstack Agent OS, Contentful AI Actions and agent integrations, and Storyblok Agents. We connect the selected tools with enterprise data, applications, permissions, approvals, and monitoring appropriate to the workflow.
Yes. Through managed services, XCentium can provide technical support for deployed AI applications and agents, including monitoring, integration troubleshooting, access configuration, usage and cost review, and validation of changes. Agentic workflow engagements focus on design and implementation; ongoing support helps maintain the deployed technology. Business decisions and escalated requests stay with the designated business teams.
Turn AI into part of the workflow
If your AI initiatives can answer questions but cannot yet help complete real work, we can help connect agents with the systems, data, actions, and controls they need.