Best Agentforce Alternatives in 2026: 14 AI Agent Platforms for Teams Outside the Salesforce Stack

Updated August 2026

Need an agent platform without a Salesforce license sitting underneath it? Microsoft Copilot Studio and Google Gemini Enterprise are the closest managed-suite equivalents, priced on the same consumption-credit logic Agentforce uses. Already on Salesforce but the quote came back at $2 a conversation and your CFO asked what that looks like at 20,000 conversations a month? Sierra, Decagon, and Fin (formerly Intercom) do the same customer-facing agent job as a dedicated, model-agnostic vendor instead of a CRM add-on. And if you just want a working agent shipped this week, no procurement cycle, no Salesforce admin required, Lindy and Zapier Agents get you there in an afternoon. This guide ranks 14 real Agentforce alternatives across those three buying situations, ordered by relevance to an Agentforce-searching reader rather than alphabetically.

Pricing below is verified directly against each vendor's own pricing page in August 2026, and labeled "(reported)" wherever a vendor keeps its number private and only third-party or buyer-reported figures exist.

Key Facts

• Salesforce holds a 20.0% share of the global CRM market per IDC's Worldwide Semiannual Software Tracker, meaning roughly four out of five enterprise buyers run their pipeline on something other than Salesforce, per Salesforce's own newsroom coverage of the IDC ranking.
• Enterprises buying ready-made AI agent solutions instead of building their own rose from 53% in 2024 to 76% in 2025, per Menlo Ventures' State of Generative AI in the Enterprise report.
• Gartner predicts over 40% of agentic AI projects will be canceled by the end of 2027, citing unclear business value and inadequate risk controls as the leading causes.
• 57% of organizations now have AI agents running in production, rising to 67% among enterprises with 10,000 or more employees, per LangChain's State of Agent Engineering survey of 1,340 practitioners.
• Only one in five companies (21%) has a mature governance model for autonomous agents, even as most plan to expand agent use within two years, per Deloitte's State of AI in the Enterprise.

Why Teams Look Past Agentforce

Three walls send buyers searching for "agentforce alternatives" instead of just signing the quote. The first is structural: Agentforce reasons over live Salesforce records with no integration layer in between, which is genuinely the platform's strength, but it means the value is concentrated for orgs already deep in Salesforce. If your CRM, case data, or opportunity records live somewhere else, that grounding advantage doesn't transfer, and you're paying for a capability built around data you don't have there.

The second is cost at volume, and it is harder to forecast than it used to be. Salesforce no longer publishes a rate for the Conversations model: that tile on its own pricing page now reads "Contact us", so the only usage number you can budget against up front is Flex Credits. $500 buys 100,000 credits, a standard action costs 20 credits (about $0.10), a voice action costs 30 (about $0.15), so 50,000 monthly actions burn a $500 pack in roughly two weeks. Salesforce's own worked example prices a self-service order-status conversation at 2 actions, about $0.20, but a multi-step resolution burns considerably more, and all of it sits on top of the required Service Cloud license. Salesforce's Foundations offer includes 100,000 free Flex Credits for Enterprise Edition orgs and above, a proof-of-concept allowance, not a production budget. See Salesforce's official Agentforce pricing for the current rate card.

The third is implementation weight. Standing up an agent inside a CRM's governance model and flow builder is a real project, not an afternoon. A team wanting to test whether an agent can do the job at all often reaches for a no-code builder first and migrates later if it sticks. AI agent ROI covers how to model that decision.

How Agentforce's Pricing Compares

Understanding which pricing model an alternative uses matters more than the headline number, because it changes what you're incentivized to optimize.

Quick Comparison Table

Direct Enterprise Alternatives: Same Weight Class, Different Ecosystem

These five compete with Agentforce on its own turf: a managed platform an admin configures, backed by a vendor's compliance program. The right pick is rarely "the best platform in the abstract." It's whichever ecosystem your data already lives in.

1. Microsoft Copilot Studio: SharePoint, Dataverse, and Teams Grounding

Copilot Studio's core bet mirrors Agentforce's: ground an agent in data your organization already has, with no separate pipeline to build. For a Microsoft 365 and Azure shop, that means SharePoint documents, Dataverse records, and Microsoft Graph, plus native deployment into Teams, the same structural advantage Agentforce offers Salesforce shops, aimed at a different, larger installed base.

Pricing: Copilot Studio user license free. Tenant Copilot Credits: a prepaid pack of 25,000 credits costs $200/month on an annual commitment, about $0.008 per credit, or pay-as-you-go via Azure at roughly $0.01 per credit with no commitment. New Azure accounts get a one-time $200 credit. Source: Microsoft's official Copilot Studio licensing documentation.

Best for: Microsoft 365 and Azure-standardized organizations that want Agentforce's grounding advantage inside an ecosystem they already run, without adding a Salesforce license. How to build an AI agent with Copilot Studio covers the build side, Best Copilot Studio alternatives covers where teams go when it does not fit, and Agentforce vs Copilot Studio goes deeper on this specific matchup.

2. Google Gemini Enterprise: Workspace and Search Grounding

Google renamed Agentspace to Gemini Enterprise on October 9, 2025, folding enterprise search and agent orchestration into one seat-based product. The pitch: grounding across Workspace plus 100+ third-party connectors, an argument that plays the same structural card Agentforce plays for Salesforce, just for teams whose daily work lives in Docs, Sheets, and Gmail instead.

Pricing: No reachable public pricing page from Google directly. Third-party reporting puts the Business edition at roughly $21 per seat/month annual and Standard/Plus at roughly $30-$35 per seat/month annual (reported, unconfirmed by Google). Confirm current numbers with Google Cloud sales before budgeting.

Best for: Google Workspace and BigQuery-standardized organizations. Copilot Studio vs Gemini Enterprise compares this option against the Microsoft equivalent head to head.

3. ServiceNow AI Agents: Workflow and CMDB Grounding, Now With Moveworks

ServiceNow's version of the same argument: agents grounded in the CMDB and case data the Now Platform already holds, spanning Agent Studio for building, an AI Agent Orchestrator for coordinating multiple agents on one task, and an AI Control Tower for governance. ServiceNow completed its acquisition of Moveworks on December 15, 2025, folding a front-end employee assistant and enterprise search into the same platform.

Pricing: No public price list; ServiceNow directs buyers to a custom quote. Since April 2026, ServiceNow restructured into three AI-native tiers, Foundation, Advanced, and Prime, with Prime the only tier carrying fully autonomous agents. Third-party estimates put core tiers around $90 to $200+ per user per month depending on tier (reported, unconfirmed by ServiceNow).

Best for: Enterprises already running ServiceNow for ITSM, HR, or service work that want the same "already in our system of record" grounding argument Agentforce makes, aimed at a different ecosystem. See best AI agents for helpdesk and ticketing for the full internal-IT comparison.

4. IBM watsonx Orchestrate: A Prebuilt Agent Catalog With Deployment Flexibility

watsonx Orchestrate combines agent building, multi-agent orchestration, and a catalog of prebuilt agents for HR, procurement, sales, and IT, deployable on IBM Cloud, AWS, or fully on-premises. That on-premises option is the real differentiator for enterprises with sovereignty or air-gapped requirements that Agentforce, a pure SaaS product, can't meet.

Pricing: No single confirmed public price. Third-party reporting cites an Essentials plan from around $500/month and a Standard plan (adding workflow automation, document processing, and the prebuilt catalog) around $6,360/month (reported, unconfirmed by IBM directly). IBM describes pricing as scaling with active users and consumption.

Best for: IBM-standardized enterprises, or ones with strict deployment sovereignty requirements, that want a prebuilt agent catalog instead of building from zero and don't want a SaaS-only vendor.

5. Amazon Bedrock Agents (AgentCore): Model-Agnostic Runtime for AWS-Native Teams

Where Agentforce ties you to Salesforce's own model choices, Bedrock AgentCore splits agent infrastructure into separately metered components (compute, gateway, memory, identity, policy) that work with Claude, Llama, Mistral, or any model in Bedrock's catalog. There's no bundled product, no subscription, and no vendor lock to one foundation model.

Pricing: Consumption-based, no subscription, no minimum. Runtime $0.0895 per vCPU-hour plus $0.00945 per GB-hour. Gateway API invocations $0.005 per 1,000 calls. Memory: short-term $0.25 per 1,000 events, long-term storage $0.75 per 1,000 records/month. Policy authorization $0.000025 per request. New AWS customers get up to $200 in Free Tier credits. Foundation model inference billed separately under standard Bedrock pricing. Source: aws.amazon.com/bedrock/agentcore/pricing.

Best for: AWS-native engineering teams that want a model-agnostic runtime instead of being tied to one vendor's roadmap and one per-conversation meter. For the fuller enterprise-suite field, see best enterprise AI agent platforms.

Customer Service Specialists: Purpose-Built for the Job Agentforce Sells

Agentforce's headline use case is a customer-facing conversation that resolves without a human. These six compete for that job as a dedicated product, not a CRM add-on, and several are honest about how expensive that specialization gets at enterprise scale. See best AI agents for customer service for the full 13-agent ranking this section draws from.

6. Sierra: Fully Managed, Outcome-Priced, Minimal In-House AI Ops

Sierra's pitch is the opposite of Agentforce's self-serve credit model: a fully managed agent a vendor's own team builds and tunes, priced entirely on outcomes rather than seats or credits. Sierra raised a $950 million Series E in May 2026 at a $15.8 billion valuation, per TechCrunch's coverage, consistent with an enterprise-only sales motion built for teams that want the vendor doing the tuning, not a self-serve console.

Pricing: Custom, quote-only, entirely outcome-based. Reported estimates of $150,000 to $350,000+ annually.

Best for: Enterprises that want a dedicated vendor's team running the agent rather than an in-house Salesforce admin managing flows and permission sets.

7. Decagon: Fully Agentic Resolution Across Chat, Email, and Voice

Decagon sells an AI concierge built for complex, multi-step resolution across chat, email, and voice at enterprise ticket volume, positioned against scripted bots rather than against other agentic platforms. Its own resolution rate glossary entry defines the metric plainly: resolved issues divided by total issues, where resolved means no follow-up is needed, and the company cites 50 to 80% resolution for mature deployments.

Pricing: Custom, quote-only. Buyer-reported base platform fee $50,000 to $95,000/year; median annual contract roughly $400,000/year; a per-resolution add-on (reported near $0.50) is negotiated, not published.

Best for: Enterprises wanting the deepest agentic resolution across every channel, without Agentforce's dependency on an existing Service Cloud license.

8. Fin (formerly Intercom): Outcome Pricing, Now Pending a Salesforce Acquisition

Fin's advantage over Agentforce has always been that it works across many helpdesks, not just one vendor's own ticketing system, and prices per outcome instead of per seat. The honest catch as of August 2026: Salesforce signed a definitive agreement to acquire Fin for roughly $3.6 billion in a deal announced June 15, 2026, expected to close in Salesforce's fiscal Q4 2027. A team picking Fin specifically to stay outside the Salesforce ecosystem should know that ecosystem is about to include it.

Pricing: $0.99 per outcome (resolution, procedure handoff, or disqualification); $9.99 per qualified lead; 50-outcome/month minimum ($49.50 floor). Seat plans priced separately. See Fin's pricing.

Best for: Teams wanting outcome-based pricing without an enterprise sales cycle today, with eyes open that Fin's independence from Salesforce is temporary.

9. Zendesk AI Agents: The Clearest Resolution Definition, If You're Already on Zendesk

Zendesk folds AI resolution into every Suite and Support plan and publishes the most explicit resolution accounting in the category: a conversation lands in Assisted Escalation, Contained Resolution, or Verified Resolution, and only the last tier, confirmed by a 72-hour hold plus an LLM check on the transcript, actually bills.

Pricing: Suite plans from $55/agent/month (Suite Team) to $115/agent/month (Suite Professional), annual. AI resolutions run roughly $1.20-$2.00 each depending on volume. Copilot add-on roughly $50/agent/month. See Zendesk's resolution tier documentation.

Best for: Support orgs already running Zendesk that want agentic resolution layered onto ticketing they've already built, with the clearest billing logic in the category.

10. Ada: The Longest-Running Dedicated AI CX Vendor

Ada has run dedicated AI customer service deployments longer than most names on this list, built for teams handling at least 300,000 annual conversations. It shifted from purely outcome-based to conversation-based pricing because large buyers wanted predictable costs tied to volume rather than variance tied to results, and now offers both bases depending on the deal.

Pricing: Custom, quote-only. Buyer-reported figures put the median annual contract around $70,000/year, with a broader range of $30,000 to $300,000+ depending on volume.

Best for: High-volume enterprises (300,000+ annual conversations) wanting a long-tenured, dedicated CX vendor rather than a CRM's bolted-on agent feature.

11. Cognigy: A No-Code, CCaaS-Agnostic Layer, Now Under NICE

Cognigy built a no-code agentic AI platform designed to plug into whichever contact-center platform you already run, Genesys, Avaya, or others, rather than requiring you to switch. NICE closed a $955 million acquisition of Cognigy in September 2025, folding it into the CXone Mpower roadmap while, notably, keeping it operating independently enough to keep serving its existing Genesys and Avaya customers.

Pricing: Not independently published since the NICE acquisition; historically quote-only, now routed through NICE's enterprise sales process. Confirm current terms directly; don't assume a pre-acquisition rate card still applies.

Best for: Contact centers wanting a no-code, CCaaS-agnostic voice and chat layer rather than a CRM-anchored one. See best AI agents for call centers for the full voice-specific comparison.

No-Code Builders: Ship an Agent This Week, Not This Quarter

Agentforce's implementation inside a CRM's permission model and flow builder is a real project. These three let a business user configure an agent in hours, no engineer or Salesforce admin required. See best no-code AI agent builders for the deeper ranking of this class.

12. Lindy: AI "Employees" Instead of Workflow Steps

Lindy's framing is narrower and more literal than most no-code builders: instead of assembling a workflow, you delegate an entire job function, inbox management, call screening, meeting scheduling, to an AI "employee" that runs continuously. That makes Lindy the fastest on-ramp on this list for a team that wants to test whether an agent can do a job at all before committing to a platform-wide rollout.

Pricing: Plus $29.99/month per user (3,000 credits). Pro $99.99/month (15,000 credits). Max $199.99/month (35,000 credits). Enterprise custom, adds HIPAA BAA, SSO, and audit logs. Every seat's credits pool into a shared workspace balance. Source: lindy.ai/pricing.

Best for: Founders and small ops teams wanting to ship a working agent this week without a CRM purchase or a per-conversation meter running underneath it. How to build an AI agent with Lindy covers the setup, and best Lindy alternatives covers this specific category in more depth.

13. Relevance AI: A Multi-Agent "Workforce," Not Just One Bot

Relevance AI's framing differs from most of this list: instead of one agent doing one job, you assemble a team of agents that hand work to each other, an "AI workforce" mirroring a human department. That fits a process with distinct steps, research, then drafting, then review, better than Agentforce's single-agent-per-conversation model.

Pricing: The public pricing page now leads entirely with Enterprise, sales-gated messaging. Lower self-serve tiers reportedly still exist for direct signups: Free around 200 actions/month, Pro around $19/month annual (2,500 actions), Team around $234/month annual. Treat all of these as reported and confirm live. See relevanceai.com/pricing.

Best for: Ops teams designing a genuinely multi-step, multi-agent process outside Salesforce's data model. Multi-agent systems covers the underlying design pattern, and best Relevance AI alternatives covers this specific category in more depth.

14. Zapier Agents: Widest App Catalog for an Agent to Call as Tools

Zapier's bet: the fastest way to a working agent is giving it access to the automation platform teams already run. Zapier Agents sits on top of core Zapier, letting an agent reason over a task and call any of its 9,000-plus app integrations as a tool, a much wider connector catalog than Agentforce's Salesforce-centric toolset.

Pricing: Free (400 agent activities/month). Zapier Agents Pro $400/year, about $33/month (1,500 activities/month). Enterprise custom. Core Zapier priced separately: Free (100 tasks/month), Professional from $19.99/month, Team from $69/month, both annual. Source: zapier.com/pricing.

Best for: Ops teams already running Zapier that want an agent layer without adding a new core system or a per-conversation Salesforce meter.

How to Choose: Decision Framework

Start with why Agentforce does not fit, then match that reason to an ecosystem suite, customer-service specialist, controlled runtime, or no-code builder.

| If you need... | Pick... | Why | |---|---|---| | Agentforce's grounding argument, different ecosystem | Microsoft Copilot Studio or Google Gemini Enterprise | Same "already in our data" logic, no Salesforce license required | | The customer-facing agent job, fully managed | Sierra | Outcome-priced, vendor-run, no in-house AI ops team needed | | Deep multi-step resolution across chat, email, and voice | Decagon | Purpose-built for complex enterprise ticket flows | | Outcome pricing without a six-figure sales cycle | Fin | $0.99/outcome, self-serve reachable, but watch the Salesforce deal | | Agentic resolution on top of ticketing you already run | Zendesk AI Agents | Clearest resolution-tier billing in the category | | A no-code, CCaaS-agnostic voice and chat layer | Cognigy | Plugs into Genesys, Avaya, and other contact-center platforms | | A model-agnostic runtime you control end to end | Amazon Bedrock Agents | No lock to one vendor's model or pricing meter | | A prebuilt agent catalog with on-premises deployment | IBM watsonx Orchestrate | HR, procurement, and sales agents, sovereignty-friendly | | A working agent shipped this week, no engineers | Lindy | Delegates a whole job function, not just workflow steps | | A genuinely multi-agent, multi-step process | Relevance AI | Agents hand off work to each other, not one bot doing it all | | The widest app catalog for an agent to call as tools | Zapier Agents | 9,000+ integrations available as agent tools |

What to Do Next

Match your reason for looking, not the vendor everyone else picks. If your data lives outside Salesforce, start with Copilot Studio or Gemini Enterprise depending on your ecosystem. If the cost problem is per-conversation spend, get a real quote from Fin or Zendesk AI Agents against your actual monthly volume, and get one from Salesforce too, since the Conversations rate is now quote-only. If you just want to know whether an agent can do the job before committing to any of this, spend a week in Lindy or Zapier Agents on one bounded task first. That result will tell you more about which class fits than any comparison table, including this one.

If you are still deciding between the three broad classes of agent platform rather than replacing Agentforce specifically, the AI agent platforms guide compares no-code builders, managed enterprise suites, and developer frameworks side by side.