6 Best Agentforce Alternatives for Customer Support Teams (2026)

Your agents work in Service Cloud. You want AI to handle more customer requests, but moving the team out of Salesforce is not on the table. Which Agentforce alternatives can take on the AI work while Cases and human support stay where they are?

Start with the request you want to automate. An email already sitting in a Salesforce Case needs an agent that can work on that Case. A website question that turns into a live conversation needs a different handoff. If the request involves a refund or account change, the AI also needs permission to act in the system that owns that transaction.

For a support team keeping Service Cloud, Chatbase, Fin (now part of Salesforce), Ada, and eesel AI have particularly relevant Salesforce workflows. Decagon and Kore.ai belong on the enterprise shortlist when the job extends into more systems, channels, or custom agent workflows. The right choice depends on where the customer starts, what the AI must do, and where a human takes over. Each vendor section below is based on that vendor's own Salesforce documentation, and I've pointed out where the docs leave gaps you'll want a demo to fill.

Which Agentforce alternative fits a Service Cloud support team?

If your team wants AI to work on existing Salesforce Cases, begin with Chatbase, Fin, and eesel AI. Chatbase documents automatic Case replies, drafts for review, and Case creation when a customer chat needs follow-up. Fin documents a deployment that follows Service Cloud Case assignment rules.

eesel AI concentrates on work inside the Case queue. Their handoff and billing models differ, so the right shortlist depends on where requests arrive and what a person must do next.

If live transfer into Salesforce is the deciding requirement, compare Ada’s Salesforce Chat and Messaging paths with Fin’s handoff and the separately configured Salesforce Live Chat action in Chatbase. Add Decagon and Kore.ai if the project spans more systems or channels. The exact Case and escalation path belongs in the demo.

What should stay in Salesforce when you replace Agentforce?

Agentforce may be a sensible choice when the agent needs deep access to Salesforce data, permissions, and workflows. A team invested in Salesforce custom objects and Flows should compare that native setup carefully. Agentforce can also connect to external systems; replacing it does not, by itself, make a customer workflow simpler. Salesforce's AIforce, announced in September 2026, is a separate interface layer for using Salesforce data and workflows in other AI tools; it isn't a new name for Agentforce.

The reason to evaluate alternatives is usually more specific. Your CX team may need to launch a customer-facing AI agent across a website and other channels while Service Cloud remains the human workspace. Or you may need AI to address an existing Case queue without moving agents to another helpdesk. Another buyer may need a vendor to help build and govern a complex workflow across Salesforce, payments, and an order system.

Start with two requests the AI should handle and one that needs a person. Use those same examples throughout the comparison.

Compare how each alternative reaches Service Cloud

Case actions and human handoff need separate checks. A vendor can support one without supporting the other in the way your team needs. Here is how the six options connect to that work:

• Chatbase: Replies to Salesforce Cases or drafts them for review; customer chat can create a Case.
  Check: Case creation versus separately configured live chat handoff.

• Fin: Handles Service Cloud Cases while keeping assignment and human work in Salesforce.
  Check: The entry and handoff channels in your deployment.

• Ada: Supports Salesforce Chat and Messaging handoffs and documented Salesforce actions.
  Check: Which handoff route and actions your contract includes.

• eesel AI: Describes Case replies, notes, routing, and field updates inside Service Cloud.
  Check: Case eligibility, permissions, and what counts as a billable handled Case.

• Decagon: Connects customer-facing AI across Salesforce and other systems.
  Check: The Case and human-agent workflow in your Salesforce setup.

• Kore.ai: Offers Salesforce live-agent transfer and separate agent-assist integrations.
  Check: Which product and integration support each required workflow.

1. Chatbase: Customer-facing AI with Salesforce Case workflows

Suppose a customer writes from your website about an issue the AI can't resolve. Chatbase can open a Salesforce Case for the team. If the request arrives as a Case instead, the AI can reply or prepare a draft for an agent to review. Those are the three paths described in Chatbase's Salesforce integration. As an AI customer support platform, Chatbase also handles the conversation before it becomes a Case.

Its Salesforce setup lets you select the user the AI replies as and write Salesforce-specific instructions, including when to escalate. A separate draft action lets an agent review and edit a proposed response.

For teams supporting customers beyond the Case queue, Chatbase's customer support workflows cover answers, actions, and human handoff. Decide which escalations should go to Service Cloud and whether your staff will also use Chatbase's workspace. If you are comparing the website experience, our Salesforce chatbot article covers that use case.

Case creation or live transfer?

Case creation leaves a record for follow-up. Live transfer keeps the customer in a conversation. Chatbase's Salesforce actions document both paths; live chat needs additional Salesforce org configuration. The live route should be scoped on its own if your customers expect to speak to someone immediately.

Chatbase's pricing page lists plans and enterprise billing options. For this use case, cost depends on volume, channels, and the handoff design.

Chatbase's Helpdesk can handle human conversations and tickets too; a team committed to Service Cloud should decide whether it needs that additional workspace.

2. Fin: AI in front of a Service Cloud team

Salesforce completed its acquisition of Fin on September 10, 2026. Fin now sits alongside Agentforce in Salesforce's customer service AI portfolio, with a documented path for working on existing Case queues.

It can respond to Cases created from email and web forms, follow Salesforce Case assignment rules, and hand work into Service Cloud. Salesforce reporting can still track Cases involving Fin. That is a practical fit for an established Case operation. Setup covers knowledge syncing, a Salesforce connection, handoff configuration, and testing.

Fin's Salesforce channels and outcome billing

The channel boundary is easy to miss. Fin documents live chat in Fin Messenger with handoff to Salesforce In-App Messaging. Salesforce Messenger live chat and several social and mobile channels are listed as coming soon. Its wider product channel list doesn't tell you what is live in the Salesforce deployment.

Fin advertises pricing from $0.99 per outcome, with a monthly minimum commitment for use with an existing helpdesk. Its rules count a configured Procedure handoff as billable, while certain default or workspace-rule escalations are not.

Model those paths separately if many customers need a person. Our Fin alternatives comparison covers the wider platform decision.

3. Ada: When the handoff design drives the choice

For Ada, the first decision is whether you need live chat or ongoing messaging. Salesforce Chat is for real-time transfer. Salesforce Messaging supports an asynchronous exchange where a customer can leave and return. If your agents aren't always available for live chat, those are materially different experiences.

Ada's documented Salesforce Action block can look up, create, or update a Case during a handoff. Ada notes that the block may not be included in every package.

Its fit depends on the actions your contract includes and how much context reaches the person taking over. Our Ada alternatives comparison covers the wider platform choice. A support team with a defined escalation process and staff to maintain it across regions may find Ada worth the implementation work. Pricing requires a quote covering channels, actions, Salesforce setup, and volume.

4. eesel AI: When the Salesforce Case queue is the project

eesel AI's Salesforce offer starts in the Case queue. The vendor says its agent can draft and send replies, add notes, route Cases, change fields, and return difficult work to people. Its Salesforce integration page advertises $0.40 per Case handled, but its current paid plan starts at $299 per month for a batch of credits. The pricing page says there is no separate platform fee or per-seat charge.

That makes eesel relevant to a team with a backlog of repeat email and web Cases. The decisive detail is how a routine Case and a sensitive exception move through your assignment rules when the AI changes a record.

On the current plan, a ticket the agent works on counts as one credit. Ask eesel which published pricing model applies to your Salesforce rollout before comparing costs with a conversation, outcome, or message credit.

5. Decagon: For connected service actions across channels

Decagon belongs on an enterprise shortlist when the customer’s request crosses Salesforce and operational systems. It describes connections to CRMs, helpdesks, call centers, and knowledge sources, including Salesforce. Its integration page describes syncing support tickets and customer data from Salesforce and using standard workflows for actions and escalations.

Consider a subscription cancellation. The AI has to identify the account, follow the cancellation policy, act in the subscription system, and update the customer. Salesforce may hold the Case, but it may not own the subscription. Decagon's Salesforce connection alone doesn't establish permission to perform that change.

Decagon is a stronger candidate when those connected tasks happen at substantial volume across channels. Its proposal should spell out Case creation or updates, what reaches a human, and the system behind each write action. Our Decagon alternatives comparison covers the broader enterprise-agent choice.

6. Kore.ai: For a broader enterprise agent program

Kore.ai's Salesforce agent documentation covers transferring an AI conversation to a Salesforce live agent. Separately, its AgentAssist package supports human agents inside the Service Cloud console. The platform makes more sense when Service Cloud is part of a larger contact-center and business-systems project.

Those are different uses of AI. One answers a customer and escalates; the other helps an agent working on a Case. A large organization may need both, alongside voice and other connected systems, but it should get a design and price for each part rather than treat “Kore.ai plus Salesforce” as a single feature.

Kore.ai suits a business with integration and operations staff to maintain agents across several systems. A narrow Case-reply or website-handoff project may have a smaller implementation path elsewhere.

Follow one support request through the system

Imagine a customer writing, “My order shows delivered, but I cannot find it.” The same message can enter by email, website chat, or messaging. Before comparing vendors, decide what a good outcome looks like in each path.

If it arrives as a Salesforce Case, the AI could respond, prepare a draft, add an internal note, or pass it to a person. To answer the delivery question, it needs current order data and the right policy. If it lacks either, the next step is a handoff.

If it begins in website chat, the AI may be able to look up the shipment. If it can't, the customer might need a Salesforce Case for follow-up or a live conversation. The Case fields, transcript, and customer identity determine how much the person taking over has to reconstruct.

If action is required, Salesforce may contain the Case while an order platform controls replacement shipments. The AI needs access to the system that can perform that action and a fallback if it fails. A Salesforce connection doesn't supply permissions in the order platform.

Give each vendor these three variants in a demo. Compare the resulting Case record and customer experience. When work must follow an approved sequence, Chatbase Procedures can define a trigger, ordered steps, conditional branches, and the Actions those steps call. Access to an external order system still needs its own action and permissions.

Compare the billable unit, not the headline price

Salesforce's Agentforce pricing page lists Flex Credits at $500 per 100,000 credits and a $2 charge per Help Agent resolution. Flex Credit usage depends on the actions and features in a workflow. Salesforce says its calculator estimates exclude Salesforce licenses, Data 360 credit costs, and implementation.

Fin’s published $0.99 per outcome follows its own outcome definition, which can include certain completed Procedure handoffs. eesel's current paid plan starts at $299 per month with credits for tickets the agent works on, while its Salesforce integration page still advertises $0.40 per Case handled.

Chatbase publishes subscriptions and message-credit limits, with flexible billing for enterprise customers. Ada, Decagon, and Kore.ai need proposals for the intended deployment. None of these units is automatically equivalent to one resolved customer issue.

For a useful forecast, estimate a month of incoming Cases and conversations. Divide them into requests the AI can answer, requests that need a system action, and requests that must reach a person.

Then ask each vendor to price that exact mix, including minimum commitments, channels, implementation, overages, and what counts as a billable event. Look at agent rework and repeat contacts alongside the invoice.

When staying with Agentforce makes sense

An alternative is not automatically the right move. If Salesforce already holds the required data and actions, and your team has built the relevant Flows and permission model, consider improving your current agent. Compare that work and cost with another integration. A dedicated support agent may be a better fit if it serves your required channels, handoff, knowledge, or workflow ownership more effectively.

What to ask in the final demo

Bring your support lead and Salesforce admin into the same session. Ask the vendor to show:

1. An AI response to an existing Case and the resulting Case history.

2. An exception the AI should send to a human, including the agent’s view.

3. A customer-facing chat that creates a Case or transfers live, whichever you actually need.

4. One approved action in the system that owns the data, with a failed-action fallback.

5. The billing event for each of those requests and the roles needed to maintain the workflow.

Record where the customer waits, where the human works, and how the team corrects an AI mistake. Use those observations alongside the proposal.

Once a pilot is live, measure more than the share of conversations that never reach an agent. Track repeat contact and reopened Cases for the same issue, incorrect actions, and how much context a human has to reconstruct after handoff. A lower transfer rate won't help if customers return or agents have to redo the work.

Choosing a starting point

If you need a customer-facing agent and a documented path into Salesforce Cases, look at Chatbase. If your priority is AI handling Cases while agents keep their existing Service Cloud workspace and assignment rules, put Fin high on the list.

Choose Ada for a deliberate Salesforce Chat or Messaging handoff design, and eesel when existing Case work is the central job. Bring Decagon or Kore.ai into a larger evaluation when the request demands custom connected actions or broader enterprise orchestration.

For Chatbase, bring one Case the AI may answer and one that needs a person. If you want to keep your agents in Service Cloud while adding customer-facing AI, discuss your Case and handoff workflow with the Chatbase team. To compare the broader category, see our Salesforce support platforms comparison.

Frequently asked questions

Can Chatbase replace Agentforce while we keep Service Cloud?

For the documented workflows here, yes: Chatbase can reply to Salesforce Cases, draft replies for review, and create a Case when a customer chat needs a person. Real-time transfer to a Salesforce agent is a separate action with additional org configuration. Map your existing Agentforce actions and channels against those capabilities before replacing a live workflow.

Does a Salesforce integration mean the AI can update Cases?

No. An integration can provide knowledge, sync records, create a Case, or support a handoff without granting the AI every Case action. Ask the vendor to demonstrate the exact read and write permissions your workflow requires.

Is a created Case the same as a live-agent handoff?

No. Case creation gives the team a record for follow-up. A live handoff connects the customer to a person in a conversation. Check which path your chosen tool supports and what context transfers.

Which Agentforce alternative is cheapest?

Headline rates don't settle it. The vendors bill for different units, and implementation and agent rework add cost. Compare quotes for the same mix of Cases, chats, actions, and escalations.