Agentforce makes sense when your support already lives inside Salesforce. The teams shopping for an alternative are usually not unhappy with Salesforce. They are running tickets a CRM-native agent was not built to finish, or they do not want their AI roadmap tied to their CRM license.
A Salesforce Agentforce alternative is an AI customer support platform you would evaluate instead of Salesforce's Agentforce agent, usually because you need deeper multi-step action-taking, regulated-grade auditability, channel coverage beyond Service Cloud, or independence from Salesforce licensing. In 2026 the credible alternatives split into two camps: agentic platforms built to resolve complex tickets end-to-end, and broader suites or helpdesks that bundle AI into an existing stack.
Agentforce is commonly cited at around $2 per conversation (and/or via Flex Credits) on top of existing Salesforce licensing, and is genuinely strong when your data, cases, and routing already sit in Service Cloud.
Teams look beyond Agentforce most often for regulated workflows (KYC, disputes, claims), deep action chains across systems Salesforce does not own, true multi-channel including voice, or to avoid tying their AI roadmap to one CRM.
Gartner predicts agentic AI will autonomously resolve 80% of common customer service issues by 2029, up from low double-digits in 2024.
The 2026 evaluation has shifted from deflection rate to whether the agent can prove what it did: every tool call, every reasoning step, replayable for a compliance review.
Pricing models now vary widely: per-conversation, per-resolution, usage-based, and bundled-with-CRM, so the lowest sticker price is rarely the lowest total cost once licensing is counted.
Last updated: June 2026
Agentforce earned its place. For organizations standardized on Salesforce Service Cloud, it puts AI resolution next to the data and cases it already manages, with a large partner ecosystem behind it. This guide is not a takedown. It is a buyer-neutral shortlist for the situations where Agentforce is not the obvious fit: when your hardest tickets need multi-step actions across systems Salesforce does not own, when a regulator will ask for an audit trail, when you need native voice on the same engine as chat, or when standardizing your AI roadmap on a CRM license is a cost you would rather not lock in. Each platform below leads a different one of those situations. We rank Lorikeet first because it is purpose-built for the regulated, multi-step end of the market, and we say plainly where it is not the right call. It is worth noting that Lorikeet coexists with Agentforce in some accounts, so the choice is not always either-or.
What Is a Salesforce Agentforce Alternative?
A Salesforce Agentforce alternative is any AI customer support platform a team evaluates in place of Salesforce's Agentforce, typically an agentic AI that resolves tickets across chat, email, voice, and SMS without a human in the loop. The category ranges from regulated-industry specialists to enterprise agent platforms to AI layered on a different helpdesk.
The useful way to group alternatives is by what the agent can actually do and where it lives. Agentforce is strongest acting on Salesforce data and Service Cloud workflows. The alternatives people shortlist tend to push on one of three axes: depth of action-taking (chaining five or more tool calls across Stripe, a core banking system, a pharmacy, and a CRM in one ticket), regulated-grade controls (provable guardrails and replayable audit trails), or independence from a specific CRM or helpdesk. A platform can be a better fit than Agentforce on one axis and a worse fit if your operation is already fully standardized on Salesforce. There is no single best AI support tool, only the best fit for your hardest tickets.
Resolution: A ticket the AI handled to completion without human help. Definitions vary by vendor, which is why who controls the definition matters at procurement.
Action chain: A sequence of tool calls the AI runs to finish a ticket (verify identity, check a transaction, update a record, send confirmation), as opposed to a single retrieval-and-reply.
Lorikeet is an AI customer support platform built for complex and regulated businesses such as fintechs, healthtechs, and insurers. It builds AI concierges that resolve multi-step tickets end-to-end across chat, email, voice (sub-1-second latency), SMS, and WhatsApp, pairing natural-language and deterministic workflows with defence-in-depth controls: pre-launch adversarial simulations, inbound message checks, outbound guardrails, and 100% automated post-resolution QA. It integrates with Salesforce and coexists with Agentforce, so it can sit above your stack rather than inside one vendor's.
At-a-Glance Comparison
At a glance
Platform: Lorikeet · Best For: Regulated, multi-step ticket resolution with audit trails · Key Strength: Defence-in-depth controls; chat + email + voice + SMS + WhatsApp on one engine · Pricing: ~$0.80–$0.95 per chat/email/SMS resolution, ~$1.20–$1.50 per voice; escalations not charged
Platform: Decagon · Best For: Large enterprises with big support budgets and embedded-engineering deployments · Key Strength: Voice + chat + email; per-conversation or per-resolution pricing · Pricing: Custom; median total contract reportedly near $400K/year
Platform: Sierra · Best For: Enterprises wanting outcome-only billing and a strong procurement story · Key Strength: Pure outcome-based pricing · Pricing: Not published; contracts reportedly $50K-$200K/year
Platform: Fin by Intercom · Best For: High-volume deflection on Intercom (or Salesforce/HubSpot) helpdesks · Key Strength: Lowest published per-outcome price; fast to launch · Pricing: $0.99 per resolution; $29/seat/month helpdesk if not already a customer
Platform: Ada · Best For: Mid-market teams with high chat volume and a long-track-record preference · Key Strength: Established multi-channel chatbot-to-agent platform · Pricing: Not published; median annual contract reportedly ~$70K
Platform: Forethought · Best For: Teams wanting solve + triage + assist + QA in one stack · Key Strength: Multi-agent platform with natural-language Autoflows · Pricing: Median reported ~$59.5K/year (acquired by Zendesk, 2026)
Platform: Gradient Labs · Best For: Financial services teams in the UK and Europe wanting a regulated-first agent · Key Strength: Built for regulated CX; procedure-based agent · Pricing: Custom (contact sales)
Why Teams Look Beyond Agentforce
Agentforce is a strong product for the Salesforce-native case. The reasons buyers add it to a competitive evaluation are specific, and naming them honestly helps you decide whether you even need an alternative.
Your hardest tickets need real action chains across systems Salesforce does not own. Agentforce is at its best acting on Salesforce data. But "verify identity, find why the transfer failed in the payments provider, refund the fee, update the address, log it for audit" is a multi-step chain that reaches well outside the CRM, and that is where CRM-native agents tend to escalate. If your hard 20% of tickets are the ones that drive cost and risk, action-chain depth across your full stack matters more than CRM proximity.
A regulator will ask what the AI did. In fintech, healthtech, and insurance, the artifact that matters is a replayable record of every tool call and reasoning step, plus controls your compliance team can sign off on before launch. General-purpose CRM agents were not primarily designed for that examination, so confirm the depth of the audit trail rather than assuming it.
You need native voice on the same engine as chat and email. Many support operations take card locks by phone, confirmations by email, and disputes by chat. If voice runs on a separate stack and is bolted to chat with a transcript handoff, customers repeat themselves and CSAT drops. Teams with real voice volume look for a single engine across channels.
You do not want your AI roadmap tied to your CRM license. Agentforce cost and capability scale with your Salesforce footprint. Teams that want to keep their support AI decision independent of CRM licensing, or that run a mixed stack, look for an agent that sits above the CRM rather than inside it.
You want a resolution definition you control. Conversation-based pricing is predictable, but some teams prefer outcome pricing where they decide what counts as resolved and escalations are never billed.
If none of these apply and you are deep in Service Cloud, Agentforce may well be your answer. If one or more do, the seven platforms below are where to look.
The 7 Best Salesforce Agentforce Alternatives in 2026
1. Lorikeet
Lorikeet is the AI customer support platform built for complex and regulated businesses. It builds AI concierges that resolve multi-step tickets end-to-end across chat, email, voice, SMS, and WhatsApp on a single workflow engine, and it is designed so your compliance team can sign off before launch rather than review incidents after. Where Agentforce optimizes for AI resolution living inside Salesforce, Lorikeet optimizes for finishing the hard, regulated tickets correctly and provably across whatever systems they touch, and it integrates with Salesforce so it can coexist with or sit above your CRM.
Key Features
End-to-end multi-step resolution: chains tool calls in the right order (verify identity, run a risk check, update a CRM, draft a message, escalate when blocked) and recovers when a tool errors mid-chain. A Team of Agents can dispatch sub-agents to call third parties, such as a merchant on a dispute.
Defence in depth: pre-launch adversarial simulations and red-teaming, inbound message checks, outbound guardrails, and 100% automated post-resolution QA via the Coach agent.
Combinable workflows: natural-language and deterministic structured workflows in one interaction, all configured in plain English.
True omnichannel on one engine: chat, email, SMS, WhatsApp, and voice with sub-1-second latency and automatic language switching, plus outbound re-engagement.
Audit trails and least-privilege scoped integrations across Salesforce, Zendesk, Intercom, Front, Kustomer, Talkdesk, Twilio, and core systems; SOC 2, BAA-ready (HIPAA), GDPR-aligned, with US/AU/UK data residency.
Ideal For
Fintechs, healthtechs, and insurers whose hardest tickets are regulated and multi-step, and whose toughest stakeholder in procurement is the compliance lead. About 80% of Lorikeet's customers are US financial institutions and fintechs. Published outcomes in this segment include a regulated fintech reaching roughly 85% automation with equal-or-better CSAT. The Coach agent is also deployable standalone for 100% automated QA at around $0.25–$0.30 per ticket.
Pricing
Outcome-based and usage-scoped: approximately $0.80–$0.95 per chat, email, or SMS resolution and approximately $1.20–$1.50 per voice resolution, with Coach around $0.25–$0.30 per ticket. The customer holds the veto on what counts as a resolution, and escalations are not charged. For context, human-handled tickets typically cost about $1.25 to $4 each.
A Real Limitation
Lorikeet is deliberately built for complex, regulated workflows. If your operation is fully standardized on Salesforce Service Cloud, your tickets are mostly straightforward, and you want AI resolution sitting directly on top of CRM data with minimal new tooling, Agentforce will be the more natural fit. Lorikeet's depth is worth it when the hard tickets are the ones that matter and they reach beyond the CRM.
2. Decagon
Decagon is an enterprise AI agent platform with named consumer and fintech customers and a white-glove deployment model. It runs chat, email, and voice, and lets customers choose per-conversation or per-resolution pricing. It is a credible Agentforce alternative at the top of the market, where buyers want a premium, heavily supported rollout that is not tied to a single CRM.
Key Features
Per-conversation or per-resolution pricing, customer-selectable.
Voice, chat, and email in one platform.
Embedded engineering during the launch period.
Production deployments processing large interaction volumes.
Strong enterprise procurement and brand story.
Ideal For
Large enterprises with substantial support budgets that can dedicate resources to a months-long, vendor-led deployment and want a top-of-market premium agent independent of their CRM.
Pricing
Not published. Industry data suggests a platform fee plus per-conversation or per-resolution fees, with median total contract value reported near $400,000 per year. The embedded-engineering model is sold as a feature; the honest read is that it also reflects how much configuration the platform needs.
3. Sierra
Sierra is the enterprise AI agent company from Bret Taylor and Clay Bavor, known for pure outcome-based pricing and a strong enterprise sales motion. It supports voice, chat, and email and pitches incentive alignment: you pay only when the AI fully resolves a case. For Salesforce-native teams weighing a CRM-bundled agent against a standalone one, Sierra is a common comparison.
Key Features
Outcome-only pricing; escalations to humans cost nothing.
Voice, chat, and email channels.
Branded agent persona approach to deployment.
High-touch implementation with embedded staff.
Strong CFO-level procurement narrative.
Ideal For
Large enterprises that want billing aligned strictly to successful resolutions and have the procurement appetite for a six-figure annual commitment.
Pricing
Not published. Enterprise contracts are reported in the $50,000-$200,000 per year range, with per-resolution rates negotiated case by case. One thing to test in a regulated context: any vendor paid only on full resolution has an incentive to favor easy tickets, so confirm how the hard cases are priced and handled.
4. Fin by Intercom
Fin is Intercom's AI agent and the per-outcome pricing benchmark for the category. It resolves a large share of common tickets fast, works on Salesforce and HubSpot as well as Intercom, and has the lowest published per-resolution rate. For teams whose volume is high and whose tickets are mostly common, it is a strong, lower-cost alternative to a CRM-bundled agent.
Key Features
$0.99 per resolved outcome, among the lowest published per-resolution rates.
Works with Salesforce and HubSpot helpdesks, not only Intercom.
Fast trial-to-deployment path for high-volume deflection.
Optional copilot for human agents.
Strong knowledge-base retrieval and reply quality.
Ideal For
High-volume teams that want the lowest published per-outcome price and a quick path to deflection, especially those already on Intercom or comfortable adding it.
Pricing
$0.99 per outcome, plus a $29/seat/month Intercom helpdesk fee if you are not already a customer. The lowest sticker price is not always the lowest total cost: Fin is built around retrieval-and-reply plus a defined set of actions, so probe action-chain depth and audit logging if your hard tickets are multi-step or regulated.
5. Ada
Ada is one of the most established AI support vendors, with public customers across fintech and consumer brands. It has expanded from chat into voice and email and pitches itself on autonomous resolution rate. It is a safe shortlist entry for buyers who value a long track record over a newer entrant or a CRM-bundled option.
Key Features
Claimed autonomous resolution rate of up to 83% on supported workflows.
Multi-channel: chat, voice, and email.
Mature integrations with Salesforce, Zendesk, and major helpdesks.
Knowledge-base ingestion and content tooling.
Established enterprise deployment playbooks.
Ideal For
Mid-market and enterprise teams with high inbound chat volume that prefer an incumbent with a long history over a newer entrant.
Pricing
Not published. Marketplace data shows a median annual contract around $70,000, with a wide range based on company size. Ada's roots are in chatbots, so probe depth on multi-step action chains and audit logging if those are central to your use case.
6. Forethought
Forethought offers a multi-agent platform spanning resolution, triage, agent assist, discovery, and QA. Its Autoflows use natural-language business logic rather than rigid decision trees. Zendesk announced the acquisition of Forethought in 2026, which is worth factoring into a multi-year decision.
Key Features
Multi-agent stack: solve, triage, assist, discover, and QA.
Autoflows: natural-language business logic instead of decision trees.
Multi-channel: chat, email, voice, SMS, and API.
Broad system integration library.
Strong agent-assist tooling for hybrid models.
Ideal For
Mid-market and enterprise teams wanting a unified stack that goes beyond resolution into triage and QA, and who are comfortable joining Zendesk's roadmap post-acquisition.
Pricing
Median reported annual contract around $59,500, with a range roughly $40,000-$160,000. Voice add-ons increase cost. If you sign now, you are signing into Zendesk's direction for the product.
7. Gradient Labs
Gradient Labs is a newer entrant building an AI support agent for regulated industries, with a focus on financial services in the UK and Europe. Its agent follows defined procedures and is positioned around compliance-conscious CX, making it a relevant Agentforce alternative for regulated teams outside the US that want a focused, non-CRM-bundled vendor.
Key Features
Procedure-following agent aimed at regulated workflows.
Positioning centered on financial services and compliance.
Focus on accuracy and controlled behavior over raw deflection.
European market presence and data-handling focus.
Helpdesk integrations for resolution and handoff.
Ideal For
Financial services and fintech teams, particularly in the UK and Europe, wanting a regulated-first agent and a focused vendor relationship.
Pricing
Custom (contact sales). As a newer platform, validate breadth of channels and integration depth against your specific stack during evaluation.
Agentforce is a strong default when your support already lives in Salesforce. The alternatives above each win a different situation: regulated depth, enterprise scale, low-cost deflection, established mid-market, a multi-agent stack, or non-US financial services. See how Lorikeet resolves complex, regulated tickets end-to-end.
How to Choose a Salesforce Agentforce Alternative
Start from your hardest tickets and your stack, not your average ticket. The five lenses below sort the alternatives faster than a feature matrix.
Action-Chain Depth Across Your Whole Stack
Can the agent chain at least three to five tool calls across systems in the right order, hold state, and recover when one tool errors, including systems Salesforce does not own? Ask what happens when a payments or core-banking API returns a 5xx mid-chain. If the answer is "we escalate," you are looking at retrieval-and-reply, not end-to-end resolution.
Regulated-Grade Controls
If a regulator could examine your support, you need provable guardrails and a replayable record of every tool call and reasoning step. Ask whether you can run the guardrail test suite before go-live and read the pass/fail report. Controls that support your compliance obligations beat marketing claims of being "compliance-friendly."
CRM and Helpdesk Independence
Decide whether you want an agent inside a specific CRM or helpdesk (Agentforce on Salesforce, Fin on Intercom) or one that sits above your stack. The former is simpler if you are already committed; the latter keeps your AI roadmap from being tied to a single vendor's licensing and direction.
Channel Coverage on One Engine
Card locks come by phone, confirmations by email, disputes by chat. Confirm the same agent works across channels with shared memory, rather than voice running on a separate stack bolted to chat by a transcript handoff. Sub-second voice latency matters once volume is real.
Pricing Model and Resolution Definition
Compare total cost, not sticker price. Per-conversation pricing looks predictable until you add CRM licensing and the hard tickets that never fully resolve. Ask who defines a resolution and whether escalations are billed.
Questions to Ask Each Vendor
Show me an end-to-end audit trail for a real decision your AI made last week, with every tool call and the reasoning between them.
What is your fallback when a payments or core-system API returns a 5xx mid-chain: retry, escalate, or roll back?
Can my compliance team run your guardrail test suite before go-live and read the report?
Who defines what counts as a resolution, and are escalations billed?
Does voice run on the same workflow engine as chat and email, and can the agent take actions on a call?
Lorikeet's Take on Agentforce Alternatives
Agentforce puts AI resolution next to Salesforce data, and for a team deep in Service Cloud with mostly straightforward tickets that proximity is real value. The reason teams end up here is almost always the same: the tickets that carry the most cost and risk are multi-step and regulated, they reach across systems Salesforce does not own, and a CRM-native agent was not built to finish them or to prove what it did afterward. Some teams also simply do not want their AI roadmap bound to a CRM license.
That is the gap Lorikeet was built for. The bar we hold ourselves to is whether your compliance team can sign off on the behavior before launch, and whether the agent is correct on the hard tickets (KYC, disputes, transfers, claims) rather than only the easy ones. Because Lorikeet integrates with Salesforce and coexists with Agentforce, this is not always a rip-and-replace decision. If that is your bar, see how Lorikeet handles end-to-end resolution. If your operation is fully standardized on Salesforce and your hardest ticket is a password reset, Agentforce fits.
Key Takeaways
Agentforce is a strong default when your support already lives inside Salesforce Service Cloud; most teams shopping for an alternative need depth, regulated controls, native voice, or independence from CRM licensing, not just a lower price.
The seven alternatives each win a different situation: Lorikeet for regulated multi-step resolution, Decagon and Sierra for enterprise scale, Fin for low-cost high-volume deflection, Ada for established mid-market, Forethought for a multi-agent stack, and Gradient Labs for UK and European financial services.
Evaluate from your hardest tickets and your full stack: action-chain depth, replayable audit trails, channel coverage on one engine, and who defines a resolution.
Lorikeet prices per outcome (about $0.80–$0.95 per chat/email/SMS, about $1.20–$1.50 per voice), lets the customer define a resolution, does not charge for escalations, and integrates with Salesforce so it can coexist with Agentforce rather than forcing a replacement.
Conclusion
Choosing an Agentforce alternative in 2026 is less about price and more about fit for your hardest tickets and how committed you are to Salesforce. If your support is mostly straightforward and already lives in Service Cloud, Agentforce remains an excellent choice. If your hard tickets are multi-step, span core systems outside the CRM, and will face a compliance review, you need an agent built to finish and prove that work.
The seven platforms here are all credible depending on your stack, scale, and risk profile. Lorikeet is the strongest fit when regulated, end-to-end resolution is the job and your compliance team is the toughest stakeholder in the room, and it can coexist with the Salesforce you already run.
Evaluating alternatives to Agentforce? Book a Lorikeet demo and bring your hardest tickets; we will run them against your guardrails before you sign.
