Agentforce's core is AI agents that operate with data and actions from the Salesforce ecosystem. An alternative should be compared by the expected outcome and by systems of record, agent governance, channels, available data, operational cost, and ecosystem dependency, not just by a generic list of features.
- check_circleAgentforce is the autonomous AI agent layer from Salesforce, built on the Salesforce Platform.
- check_circleAgentforce uses the Atlas reasoning engine and is configured in Agent Builder, based on Salesforce CRM data.
- check_circleOmniSmart's AI agent handles voice (phone calls) and text (WhatsApp with official API and chat).
- check_circleOmniSmart does not depend on an external CRM platform for the AI agent to work — CRM, telephony, and AI come together.
What is the starting point for comparison with Agentforce?
Agentforce is considered here for its focus on AI agents that operate with data and actions from the Salesforce ecosystem. The first step is to record which of these capabilities already support the operation and cannot be lost in a change.
The architecture should clarify where the agent queries data, what actions it can perform, and how it hands off the case to a person.
- Current core: AI agents that operate with data and actions from the Salesforce ecosystem
- Compare: systems of record, agent governance, channels, available data, operational cost, and ecosystem dependency
- Separate native feature from integration or additional service
- Test data, channels, exceptions, and human transfer
Requirements for comparing Agentforce and OmniSmart
The value of an alternative to Agentforce in Brazil depends less on the solution name and more on how it fits into the process. Before the proposal, it is advisable to confirm which ecosystem should execute and record each action with users and technical stakeholders.
The search intent is addressed from the angle of comparison between agent platforms, data, actions, and governance. The expected outcome should be written in an observable way so that business, technology, and operations evaluate the same thing.
Requirements that change the answer
Before the proposal, it is advisable to confirm which ecosystem should execute and record each action with users and technical stakeholders. It is also necessary to list data, users, integrations, volume, and constraints that are part of this scope.
In an alternative to Agentforce in Brazil, decisions about access, support, contingency, and traceability can change the solution even when the main function seems equivalent.
- Scope: comparison between agent platforms, data, actions, and governance
- Decision question: which ecosystem should execute and record each action
- Data, permissions, and systems involved
- Exceptions, contingency, and acceptance criteria
OmniSmart's role in an alternative to Agentforce in Brazil
The OmniSmart architecture positions the alternative to Agentforce in Brazil within the flow of an integrated customer service, sales, and telephony platform, with defined responsibilities and records.
The design preserves the system that should remain the data source and defines where each event of the alternative to Agentforce in Brazil will be recorded. This division avoids redundant integrations and fragmented history.
Testing, deployment, and review
The rollout of the alternative to Agentforce in Brazil into production should be gradual, monitored, and accompanied by criteria to correct the design.
After acceptance, the deployment receives steps, responsibilities, monitoring, and review. Deadline, price, and availability are not assumed by the page; they are included in the project proposal.
Validate the alternative to Agentforce in Brazil with a real scenario
Before the proposal, it is advisable to confirm which ecosystem should execute and record each action with users and technical stakeholders. OmniSmart helps turn this answer into architecture, scope, and deployment criteria.
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