Evidence-backed decision brief

Which AI sales agent fits an outbound prospecting team?

Compare Relevance AI and Salesforce Agentforce across pricing, prospecting capabilities, deployment, enterprise controls, data policy, integrations, and execution evidence.

Decision context · Sales and revenue operations leaders evaluating governed prospecting automation
Candidate inclusion rule

Included when the product is a maintained sales-prospecting Agent with public first-party documentation for outbound workflows and the listed decision requirements. The current cohort is Relevance AI and Salesforce Agentforce; inclusion is not a ranking or claim that no other product qualifies.

Decision-Relevant Intelligence CoverageEvidence coverage86%

12 of 14 candidate-requirement cells have current Source-Backed or Execution-Verified answers.

2visible evidence gapsGaps remain unknown; they are not treated as product failures.
Decision requirements

What matters for this choice?

Adjusting these requirements is recorded only as an aggregate demand signal.

6 differing fields
Decision shortcut

Start with what can change the decision

This is a map of comparable evidence and unresolved questions, not a score, ranking, winner, or recommendation.

Shortlist ready · 86% covered

Evidence snapshot 2026-08-2112 source checksRefresh required

Start here

Pricing · Capabilities · Deployment · Enterprise controls · Privacy & data policy · Integrations

These are the selected requirements where at least two candidates have reliable, distinct answers. Use them to narrow the shortlist first.

Confirm before choosing

No non-execution intelligence gaps

The remaining uncertainty is limited to governed execution evidence.

Relevance AI6/7 requirements supported6 of 7
Salesforce Agentforce6/7 requirements supported6 of 7
6

requirements with supported differences

  • Pricing2/2 candidates have reliable evidence across 2 documented answers.
  • Capabilities2/2 candidates have reliable evidence across 2 documented answers.
  • Deployment2/2 candidates have reliable evidence across 2 documented answers.
  • Enterprise controls2/2 candidates have reliable evidence across 2 documented answers.
  • Privacy & data policy2/2 candidates have reliable evidence across 2 documented answers.
  • Integrations2/2 candidates have reliable evidence across 2 documented answers.
0

intelligence gaps

All selected non-execution requirements have reliable answers.

2

execution evidence gaps

These remain unknown unless publication-approved governed execution evidence exists. Source documentation cannot close them.

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Foundation Release

This comparison describes available evidence. “Unverified” means no matching accepted evidence—not that a feature is unavailable. It is not a universal ranking, score, recommendation, or purchasing decision.

Swipe horizontally to compare candidates. Candidate names remain visible while you review fields.

Agents
RARelevance AI

Relevance AI

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SASalesforce

Salesforce Agentforce

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Pricing

Relevance AI publishes Free, Pro, Team, and Enterprise plans.

Source-Backed

Salesforce publishes Agentforce packages and usage pricing.

Source-Backed
Deployment

Relevance AI is delivered as a managed enterprise agent platform with an embedded deployment/onboarding path. The official page does not establish customer self-hosting.

Source-Backed

Agentforce agents are built and activated in eligible Salesforce organizations and can be deployed through configured connections to Salesforce experiences, mobile, Slack, messaging, and other supported channels. Editions and add-on licenses vary by agent type.

Source-Backed
Capabilities

Relevance AI agents plan tasks, use tools, integrate with business systems, and can run autonomously or with human approval.

Source-Backed

Agentforce provides documented agent building, actions, orchestration, and Salesforce data grounding.

Source-Backed
Enterprise controls

Relevance AI documents enterprise security and administrative controls.

Source-Backed

Agentforce respects Salesforce licenses, permission sets, field-level security, and sharing settings; access to standard and custom actions additionally depends on the referenced Salesforce products, classes, flows, templates, and configured permissions.

Source-Backed
Privacy & data policy

Relevance AI states that its enterprise platform offers data residency, PII masking, audit logs, and no training on customer data. Contract-specific retention, subprocessors, and region selection still require procurement review.

Source-Backed

Salesforce documents Agentforce integration with the Einstein Trust Layer, including a zero-data-retention policy for third-party LLMs and controls intended to keep customer data from being used to train third-party models; organization-specific processing terms still require procurement review.

Source-Backed
Integrations

Relevance AI provides documented integrations for agent tools and business systems.

Source-Backed

MuleSoft connects Agentforce with third-party systems through documented APIs and connectors.

Source-Backed
Decision boundary

What you can take away

This page is ready to support a shortlist. Agenova currently supports 12 of 14 selected cells with reliable evidence. Validate the remaining 2 gaps before purchase or deployment.

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