Short answer: Salesforce Agentforce is a strong AI agent layer inside the Salesforce ecosystem. Syntheka is a vendor-agnostic governance plane that integrates with Salesforce plus everything else. Many teams will use both: Agentforce for the customer service automation inside Salesforce, Syntheka for the governance plane across all systems. Here is the full comparison, including where Agentforce wins.
| Dimension | Salesforce Agentforce | Syntheka |
|---|---|---|
| Core question | “How do I deploy AI agents inside the Salesforce ecosystem?” | “How do I govern AI agent actions across my whole stack, including Salesforce and the systems around it?” |
| Ecosystem | Salesforce-only (Service Cloud required) | Vendor-agnostic: SAP, Salesforce, NetSuite, custom, MCP-native |
| Pricing model | $2.00 per conversation overage (per published Salesforce announcements) | Fixed-tier ($500/$2,000/Enterprise); outcome-aligned option for verified recoveries |
| Approval DAG | Workflow rules with role-based access | Native: six-state approval DAG with segregation of duties, server-enforced |
| Audit trail | Salesforce event log + Audit Trail feature | Append-only bi-temporal trail with hash chain; causal-ID replay |
| Deployment | Salesforce-hosted (multi-tenant) | Self-hosted or private cloud; data stays in your perimeter |
| Verification model | Non-negative feedback + no escalation (per published Salesforce rules) | Customer-verified per claim (Zendesk verified mode per W2); never assumed |
| Best fit | Customer service automation inside Salesforce Service Cloud | Governance plane across the whole AI agent estate, including the systems around Salesforce |
Sources: Salesforce Agentforce published announcements (salesforce.com/products/agentforce), Syntheka GTM-PLAN-2026-09-27 §2. Pricing and feature claims are dated 2026-10-09 and may change.
If your entire customer service operation runs inside Salesforce Service Cloud and you want AI agents inside that surface, Agentforce is the right starting point. Syntheka's strength is the cross-system layer.
Agentforce inherits Salesforce's years of conversation tooling (Service Cloud + Einstein + Data Cloud). If your team is already on that stack, Agentforce is the lower-friction path.
If the AI agent's primary context is CRM data (customer, case, opportunity), Agentforce has the native integration. No new ingestion layer needed.
Syntheka governs the AI agent action across the whole stack: SAP, NetSuite, custom systems, vendor portals, anything reachable via MCP. Agentforce is Salesforce-only.
Syntheka's segregation of duties is enforced server-side in the approval DAG. The initiator cannot self-approve. Salesforce workflow rules are configurable; enforcement is configurable.
Syntheka runs in your infrastructure. The agent actions, the approvals, the audit trail — all inside your perimeter. If your data sovereignty or regulated environment is a hard requirement, this is the deciding factor.
If you are choosing between Syntheka and Agentforce, the most common outcome is: keep Agentforce for the customer service automation inside Salesforce, and add Syntheka for the cross-system governance plane. The pilot is built around that outcome.