Salesforce Agentforce
Build, deploy, and manage AI agents on Salesforce
What Salesforce Agentforce does
Agentforce is Salesforce’s platform for building and managing autonomous AI agents that can take action, not just generate responses. These agents work across your business to support employees, engage customers, and automate workflows in real time.
XCentium helps organizations implement Agentforce to create practical, production-ready AI solutions. We connect agents to your data, workflows, and systems so they can operate reliably and deliver measurable business value.
Salesforce Agentforce capabilities
Agent design and deployment
Build and configure AI agents with Agentforce Builder using natural language, low-code and pro-code tools, reusable actions, and Agent Script.
Hybrid reasoning and workflow orchestration
Combine AI reasoning with deterministic logic, business rules, and workflows to create agents that can adapt while maintaining greater control and predictability.
Connected data and actions
Ground agents in Salesforce and enterprise data, including Data 360, and connect them with workflows, APIs, applications, and business processes.
Conversational experiences
Deliver AI agent experiences across supported digital channels, including text and voice, for both customer- and employee-facing use cases.
Testing, observability, and optimization
Test agent behavior before deployment, monitor performance, and continually refine agents using Agentforce testing and observability capabilities.
Governance and guardrails
Apply instructions, permissions, security controls, and guardrails to help agents operate within defined business and governance requirements.
How XCentium helps you put Agentforce to work
We design, implement, integrate, and optimize Agentforce around your business processes, data, systems, and automation goals.
This includes identifying and prioritizing use cases, designing agent behavior and workflows, connecting agents to enterprise data and applications, and integrating the actions agents need to complete tasks.
We also help with testing, deployment, governance, monitoring, and ongoing optimization so Agentforce can operate reliably as part of your broader Salesforce and technology environment.
Business outcomes with Salesforce Agentforce
Reduce manual work across teams
Improve response times and operational efficiency
Deliver consistent and scalable customer interactions
Support real-time automation across business processes
Enable teams to focus on higher-value work
Salesforce fit & implementation assessment
Choosing the right platform and approach is critical.
We evaluate your current systems, business goals, and architecture to define the best path forward with Salesforce.
Frequently Asked Questions
Salesforce Agentforce is a platform for building, deploying, and managing AI agents that can use business data, workflows, and connected systems to answer questions and take approved actions.
Agentforce can support employees and customers, retrieve information, update records, initiate workflows, automate tasks, and work across Salesforce and connected enterprise systems.
Agentforce can be used to automate repetitive, information-intensive, and multi-step work across customer and employee experiences.
Common use cases include answering customer questions, retrieving knowledge, checking order status, qualifying leads, researching accounts, preparing sales meetings, creating cases, assisting shoppers, supporting employees, and initiating business workflows.
The right use case should have clear business value, reliable underlying data, measurable outcomes, and appropriate controls.
Data 360 can provide Agentforce with trusted business context from Salesforce and external data sources.
Organizations can use Data 360 to connect, harmonize, and activate customer and enterprise data so agents have access to relevant information when answering questions or taking actions.
The value of the agent depends heavily on the quality, accessibility, permissions, and governance of the data behind it.
Einstein refers to Salesforce’s broader AI capabilities, including predictive and generative AI embedded across Salesforce.
Agentforce focuses specifically on AI agents that can reason about tasks, use available data and tools, and take actions within business processes.
The technologies can work together and should be evaluated based on the business capability an organization needs rather than treated as completely separate alternatives.
Yes. Agentforce can work with data, APIs, applications, workflows, and business processes across Salesforce and connected enterprise systems.
Depending on the use case, agents may need to interact with ERP, commerce, CMS, customer service, data, knowledge, identity, payment, or other systems.
The integration architecture should define what information and actions an agent can access, which system owns each process or dataset, and when human approval is required.
An Agentforce implementation starts with identifying the business processes and use cases where AI agents can provide measurable value.
Implementation can include agent design, instructions and business logic, workflow automation, data grounding, integrations, actions, permissions, security, testing, deployment, governance, monitoring, and ongoing optimization.
Organizations should also define how agent performance will be measured and when an agent should escalate a task or interaction to a person.
Yes. XCentium has experience implementing Agentforce and helping organizations identify practical opportunities for AI agents across Salesforce.
For Funko, XCentium integrated Agentforce with Salesforce Knowledge and commerce data to provide contextual customer-service responses. The solution also included customer authentication, automated case creation, live-agent transfers, and automation around common service requests.
XCentium’s broader expertise across Salesforce service, commerce, data, integrations, and automation supports Agentforce initiatives that depend on connected business processes and enterprise data.
Look for a partner that can address the systems and business processes behind the agent, not just the conversational experience.
Relevant capabilities include Salesforce architecture, Agentforce, data, knowledge, integrations, automation, permissions, security, testing, escalation, monitoring, and AI governance.
An experienced partner should be able to explain where an agent gets trusted context, what tools and data it can access, which actions it can take, when human involvement is required, and how performance will be measured after deployment.