Agentic Index
Agentforce vs ServiceNow AI Agents (2026)
Salesforce Agentforce and ServiceNow AI Agents are the two heaviest enterprise agent bets, and they are converging on each other's territory: Salesforce prices agent work through consumption based Flex Credits at roughly five hundred dollars per one hundred thousand credits on top of platform subscriptions, anchored in CRM, while ServiceNow prices through enterprise sales per user and package with assists metering, anchored in workflow, and is pushing into CRM with the Moveworks acquisition closed in December 2025 as its conversational capstone. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Buy where your system of record sits: customer data gravity favors Agentforce, workflow and employee service gravity favors ServiceNow.
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Salesforce and ServiceNow are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 955 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Salesforce if
- Customer 360 data in Salesforce is what your agents need to act on.
- Sales and service automation carry the business case.
- Consumption pricing tied to agent actions matches how you want to pay.
Choose ServiceNow if
- IT, HR, and operations workflows are where agent labor saves you the most.
- Governance, audit trails, and structured fulfillment are hard requirements.
- Platform consolidation on ServiceNow, including its conversational front door, is your direction.
| Feature | S Salesforce |
S ServiceNow |
|---|---|---|
| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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SalesforceIntegrations & Tool Calling Agents act on the customer's systems through actions. Agentforce Builder connects agents to data, channels and existing Salesforce assets including Flows, Apex, MuleSoft APIs and prompt templates, and out of the box actions cover common jobs such as order and reservation management. Sourcesalesforce.com/agentforce/agent-builderread 2026-09-18 |
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ServiceNowIntegrations & Tool Calling Agents act through tools added in the guided setup, such as catalog items, and reach outside systems as an MCP client through Action Fabric, which ServiceNow describes as MCP server, MCP client and A2A together, with A2A used to orchestrate multiple systems and processes. Sourceservicenow.com/platform/action-fabric.htmlread 2026-09-18 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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SalesforceWorkflow Orchestration Agent Script defines how work moves through an agent: every request begins at an agent router that sets initial variables and classifies the request, then the agent processes a subagent and transitions between subagents along paths the script defines. Across agents, an orchestrator agent can invoke specialized agents in other Salesforce orgs and outside Salesforce through the Agent API, and a flow action can invoke an agent as one step of a longer automation. Sourcedeveloper.salesforce.com/docs/ai/agentforce/guide/ascript-flow.mdread 2026-09-18 |
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ServiceNowWorkflow Orchestration The Autonomous Workforce deploys AI specialists that do whole jobs and orchestrate teams of AI agents to deliver outcomes from start to finish. Action Fabric uses the A2A protocol for complex multi agent workflows across systems and processes. Sourceservicenow.com/products/ai-agents.htmlread 2026-09-18 |
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Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
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SalesforceTriggers & Channel Coverage Headless agents are called without a human trigger from a user interface. An Apex trigger or a scheduled job calls the agent as part of a background process, and a standard AI Agent action lets any flow, including one started by a record change, invoke an active agent with a prompt. Sourcedeveloper.salesforce.com/blogs/2025/04/build-headless-agents-with-the-agent-api.htmlread 2026-09-18 |
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ServiceNowTriggers & Channel Coverage In the guided setup, an administrator adds triggers that run the AI agent automatically when certain conditions are met, so the agent starts when an event occurs rather than only in chat. Agents also work conversationally through the ServiceNow Otto panel and Virtual Agent. Sourceraw.githubusercontent.com/servicenow/servicenowdocs/australia/markdown/intelligent-experiences/add-trigger-aia.mdread 2026-09-18 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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SalesforceKnowledge Grounding & RAG Agents are grounded in the customer's own material. An Agentforce Data Library connects an agent to trusted unstructured or semi-structured sources, such as files or a knowledge base, which the customer adds to the library and the agent retrieves from when it answers, and new material is added to the library with no retraining. Sourcedeveloper.salesforce.com/docs/ai/agentforce/guide/headless-examples-agent-adl.mdread 2026-09-18 |
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ServiceNowKnowledge Grounding & RAG When an AI agent is set up, tools and the customer's own information are added to it, including Knowledge Graphs that give the agent the relationships between real world entities to improve its outputs, for example a Knowledge Graph added to an approval agent. New knowledge is added this way, without retraining the model. Sourceraw.githubusercontent.com/servicenow/servicenowdocs/australia/markdown/intelligent-experiences/add-tool-aia.mdread 2026-09-18 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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SalesforceMemory & State Persistence Agent Script variables let an agent deterministically remember information across conversation turns and keep context throughout the session, shared by every subagent, and a session ID carries that context across invocations. Data 360 and Customer 360 give agents live customer records, which are the business records themselves, and Salesforce does not describe a memory the agent keeps across sessions. Sourcedeveloper.salesforce.com/docs/ai/agentforce/guide/ascript-ref-variables.mdread 2026-09-18 |
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ServiceNowMemory & State Persistence AI agents keep a long term memory of user specific facts. When an agent runs, the platform checks the interaction for facts that match the agent's configured memory categories and stores them as semantic memory records in the AI Agent Memories table, scoped to the user, so one user's memory records sit apart from business data and can be found and handled on their own. Categories such as software preferences, workplace context and communication style are defined globally and mapped to specific agents, and an agent only learns and retrieves memories for the categories mapped to it. Sourceraw.githubusercontent.com/servicenow/servicenowdocs/australia/markdown/intelligent-experiences/aia-ltm-categories.mdread 2026-09-18 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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SalesforceHuman Oversight & Guardrails Escalation to a person is a built-in agent utility: utils.escalate hands the conversation to a human service rep through an Omni-Channel routing connection the customer defines, and instructions tell the agent when to call it. Agent Script structures what the agent may do, with every request passing an agent router that classifies it before any subagent runs and explicit transitions between subagents, and Salesforce's own guidance recommends a person check model responses before they are shared in most use cases. Sourcedeveloper.salesforce.com/docs/ai/agentforce/guide/ascript-ref-utils.mdread 2026-09-18 |
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ServiceNowHuman Oversight & Guardrails Each tool an AI agent uses can be set to run in supervised execution mode, chosen as the execution mode when the tool is added in the guided setup, so a person oversees the tool's actions and the potential impact of an agent not executing as expected is contained, while other tools run autonomously. The mode is set per tool, so low risk and high risk actions can run under different levels of autonomy, and AI Agent Studio also sets guardrails on each agent. Sourceraw.githubusercontent.com/servicenow/servicenowdocs/australia/markdown/intelligent-experiences/add-tool-aia.mdread 2026-09-18 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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SalesforceSecurity, Identity & Governance Salesforce holds attestations scoped to the agent layer itself, including a SOC 2 report and a SOC 3 report for the Einstein Platform and Agentforce on Hyperforce, an ISO 42001 certificate covering the Salesforce AI Platform and Agentforce, a PCI attestation of compliance for Data Cloud, the Einstein Platform and Agentforce, a C5 report, an IRAP assessment and Spain ENS High for the Einstein Platform and Agentforce, alongside FedRAMP High and Moderate and ISO 27001 categories. Sourcecompliance.salesforce.com/enread 2026-09-18 |
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ServiceNowSecurity, Identity & Governance ServiceNow's Trust and Compliance Center lists FedRAMP authorization for its Government Community Cloud. Platform controls include SAML 2.0 single sign on, including SSO across multiple providers, role based multi factor authentication and access control, and agents run as dedicated service accounts with scoped roles. Sourceservicenow.com/company/trust.htmlread 2026-09-18 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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SalesforceObservability & Auditability Every step of an agent interaction is recorded. The Agentforce Session Tracing data model and the Generative AI Audit and Feedback data model capture turns, messages, LLM calls, actions, metric scores and feedback, and the Session Trace OTel API exports a full session as OpenTelemetry-format JSON for any observability tool or OTLP collector. Trace files can also be managed from the command line during development, and the Einstein Trust Layer keeps an audit trail of generations. Sourcedeveloper.salesforce.com/docs/ai/agentforce/guide/otel-api.mdread 2026-09-18 |
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ServiceNowObservability & Auditability Agent runs are recorded as sessions, traces and spans kept for analysis, and the customer sets the retention. Session, trace and span data is kept for 30 days by default, and a system administrator can shorten the window or stop retaining trace data for data minimization requirements, and choose whether the data stays available for analysis. AI agents using desktop actions also report each action they take back to the user in the ServiceNow Otto panel. Sourceraw.githubusercontent.com/servicenow/servicenowdocs/australia/markdown/intelligent-experiences/mon-ai-configure-trace-retention.mdread 2026-09-18 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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SalesforceDeployment & Data Residency Salesforce runs on Hyperforce, its public-cloud infrastructure, where customer data is generally stored in the country where the customer's org is located, provided the services in use are available in that Hyperforce country, and a secure backup of an org can be held in a secondary Hyperforce region. Sourcesalesforce.com/platform/public-cloud-infrastructureread 2026-09-18 |
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ServiceNowDeployment & Data Residency ServiceNow offers a separate environment for regulated customers, the Government Community Cloud with FedRAMP, alongside its standard cloud, and customers that need a government authorized boundary run there. Sourceservicenow.com/company/trust.htmlread 2026-09-18 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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SalesforcePrebuilt Agents, Templates & Packs Agentforce Builder starts agents from out of the box subagents, actions and templates that cover common jobs such as order management, reservation management and general FAQs, which the customer then extends and refines with natural language instructions. Sourcesalesforce.com/agentforce/agent-builderread 2026-09-18 |
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ServiceNowPrebuilt Agents, Templates & Packs Buyers deploy out of the box AI agents or build their own, and ServiceNow names ready made agents across domains, such as change request planning, change template suggestion, supplier approval, asset evaluation and post incident review agents. Sourceservicenow.com/products/ai-agents.htmlread 2026-09-18 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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SalesforceModel Flexibility & Routing An administrator sets the org-level model for Agentforce on the Agentforce Agents page in Setup, and Agent Script overrides it for a specific agent or subagent with a model configuration naming any supported model. The supported list spans Salesforce-managed models from OpenAI, Anthropic on Amazon Bedrock, Google Gemini on Vertex AI and Amazon Nova, most running inside the Salesforce trust boundary, and customers can also bring their own model. Sourcedeveloper.salesforce.com/docs/ai/agentforce/guide/ascript-model.mdread 2026-09-18 |
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ServiceNowModel Flexibility & Routing An administrator chooses the model provider for AI agents. In AI Agent Studio settings, the model provider tab leads to AI Admin Hub, where the default provider is selected from Now LLM Service, AWS Claude, Azure OpenAI and Google Gemini, and models can be tested in the skill kit before switching. ServiceNow notes that agents should be retested after the global model changes, and that in some regions using a different provider requires consent. Sourceraw.githubusercontent.com/servicenow/servicenowdocs/australia/markdown/intelligent-experiences/select-aia-llm.mdread 2026-09-18 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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SalesforceAPIs, SDKs & MCP Extensibility The Agent API opens a conversation with an agent, sends prompts synchronously or as a server-sent event stream with progress, text-chunk and end-of-turn events, and closes the session, authenticated through a connected app with OAuth scopes, with a published Postman collection and Node.js client. Inside the platform, an invocable action runs any active agent from Apex or Flow, and Salesforce Hosted MCP Servers expose Salesforce data and automation to external AI agents and LLM applications over MCP. Sourcedeveloper.salesforce.com/blogs/2025/04/build-headless-agents-with-the-agent-api.htmlread 2026-09-18 |
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ServiceNowAPIs, SDKs & MCP Extensibility Action Fabric lets any AI agent, including Claude, ChatGPT and Gemini, execute governed ServiceNow actions headlessly through MCP, A2A and traditional protocols. The MCP Server Console is a central control plane for exposing ServiceNow resources to external AI agents with native governance, and ServiceNow can also act as a secondary agent over A2A. Sourceservicenow.com/platform/action-fabric.htmlread 2026-09-18 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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SalesforceTesting, Debugging & Optimization Agents are tested before release with scored test cases. A test spec describes test cases as utterances with the expected agent behavior, can set context variables and include out-of-the-box metrics in the output, and is created and run in a development org from the command line or the Agentforce Testing Center, with pass and fail results. Sourcedeveloper.salesforce.com/docs/ai/agentforce/guide/agent-dx-test.mdread 2026-09-18 |
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ServiceNowTesting, Debugging & Optimization Agentic evaluations run AI agents and agentic workflows against defined datasets to verify quality before deployment. Each run scores performance, identifies issues and suggests optimizations, with custom metrics added through a parser tool and a results page for analysis. Sourceraw.githubusercontent.com/servicenow/servicenowdocs/australia/markdown/intelligent-experiences/agentic-evals.mdread 2026-09-18 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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SalesforceBrowser & Computer Use Salesforce does not describe an Agentforce agent operating a browser or desktop interface. Agents act through actions, flows, Apex, APIs, prompt templates and MCP tools, reached through the agent router and subagents in Agent Script. Sourcedeveloper.salesforce.com/docs/llms-genai.txtread 2026-09-18 |
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ServiceNowBrowser & Computer Use With AI Desktop Actions, an agent triggered from the ServiceNow Otto panel performs tasks on an external website or web application, opening the site in a separate browser tab, carrying out the steps and reporting its actions back in the panel, through the ServiceNow Web Automation Chrome extension connected to the instance. Adaptive desktop actions handle interactions beyond custom UI, including triple-click, double-click, right-click, native prompts, dialogues and alerts, administrators configure the allowed websites, and the agent runs as a dedicated service account. Sourceraw.githubusercontent.com/servicenow/servicenowdocs/australia/markdown/intelligent-experiences/na-ai-wa-access-using-nap.mdread 2026-09-18 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | S Salesforce |
S ServiceNow |
|---|---|---|
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Entry price Lowest public entry point |
$500 per 100,000 Flex Credits, with a standard action consuming 20 credits ($0.10). Per conversation and per user options are also offered. | No public price. Sold through enterprise sales, priced per user and package, with agentic features metered as assists. |
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Pricing confidence How public the numbers are |
Public, partial | Contact only |
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Billing Primary billing axis |
Flex Credits drawn down per agent action, a per conversation rate or per user licensing, all on top of Salesforce edition subscriptions. | Per user and per product package subscriptions on the Now Platform, plus agentic features consumed as metered assists. |
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Variable cost Workload / overage exposure |
High variable cost | High variable cost |
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Free tier / trial Try before you buy |
No free tierTrial
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No free tierTrial
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Buying motion Self-serve vs sales call |
Sales call | Sales call |
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