Comparison

Salesforce Agentforce Alternatives: The CRM AI Tools to Compare (2026)

Salesforce Agentforce is the loudest name in CRM AI right now, but it is an agent platform built for large, Salesforce-native organisations, and it is priced by consumption in a way that makes a mid-sized budget hard to plan. This guide compares the main alternatives, says who each one is best for, and clears up the mix-up that trips up most buyers: several of these tools are not doing the same job at all.

The short version

Why teams look for an Agentforce alternative

Agentforce is built for organisations already standardised on Salesforce, with clean CRM data, admin capacity, and the volume to justify an autonomous agent platform. It is also priced by consumption, so the bill scales with usage rather than sitting at a flat seat price. A mid-sized team that is not deep on Salesforce, or that cannot forecast its agent volume, often goes looking for something lighter, more predictable, or scoped to the specific job that hurts.

Agentforce is Salesforce's agentic layer, launched in 2024, that lets you build and deploy AI agents across Sales, Service and Marketing Cloud to act on your CRM data: resolving support cases, qualifying leads, and taking multi-step actions with less human hand-holding than an assistant. It is capable and it is native to Salesforce, which is the point. Its pricing, though, is consumption-based rather than a flat per-seat fee. Salesforce publishes more than one model: a per-conversation rate of around $2, Flex Credits reported at about $500 per 100,000 credits (a standard action consuming roughly 20 credits, about $0.10), and, added in 2026, a per-user digital-labour option from around $125 per user per month. All of that sits on top of a paid Salesforce edition.

None of that is a criticism. It is a fit. If you are a large team already running Sales or Service Cloud, with the data and the admins to feed agents well, Agentforce may be exactly right and you should shortlist it. If you are a 90-person firm that is not on Salesforce, or whose real problem is that reps spend their day on data entry rather than deflecting thousands of tickets, a full agent platform is more than you need, and its consumption pricing is a budget you cannot yet forecast. The rest of this guide is for the many teams in between.

First, which job are you buying for?

Before comparing tools, get clear on the job, because "CRM AI" bundles several different jobs together and most of these products are strong at one of them. Buying an autonomous agent platform to fix a data-entry problem, or a copilot to fix a lack of high-volume deflection, is the most common and most expensive mistake here.

"CRM AI" on a vendor page can mean any of four quite different things. Getting the job right before you compare tools saves you from paying agent-platform money for an upkeep problem, or buying a light assistant when you actually needed autonomous agents at volume. In short, the four jobs are:

The tools below sit in different places on that list. Comparing them purely on price or on a feature checklist hides the fact that they are not all trying to do the same thing.

Agentforce alternatives at a glance

Tool Best for Org size Pricing Core strength
Salesforce Agentforce Salesforce-native orgs that want autonomous agents acting inside the CRM they already run Mid-market to enterprise Consumption: ~$2/conversation or Flex Credits (~$500 per 100k), plus a per-user option from ~$125/user/mo Autonomous agents across Sales, Service and Marketing Cloud, native to your Salesforce data
HubSpot Breeze Teams already on HubSpot that want AI agents billed by outcome, not by seat SMB to mid-market Outcome-based: Customer Agent $0.50/resolved conversation, Prospecting $1/lead, Data $0.10/answer AI agents native to the HubSpot CRM, priced when the task actually lands
Microsoft Copilot for Sales Microsoft 365 shops that want a selling assistant sitting over their existing CRM Mid-market to enterprise $50/user/mo standalone, or $20/user/mo added to M365 Copilot A copilot inside Outlook and Teams that connects to Salesforce or Dynamics 365
Zoho Zia Cost-conscious mid-market teams on Zoho CRM that want AI bundled, not billed separately SMB to mid-market Bundled in Zoho CRM Enterprise/Ultimate from ~$40/user/mo (or Zoho One ~$37/user/mo) Lead scoring, enrichment, forecasting and an assistant included with the licence
Clay Revenue teams that want to find, enrich and score pipeline before it ever reaches the CRM SMB to enterprise Free tier; Launch $185/mo; Growth $495/mo (CRM sync from Growth up) Data enrichment and outbound orchestration upstream of the CRM (a different job)
Frntir Teams whose real pain is CRM upkeep eating selling time, not a new agent platform Any £6,000/yr per colleague (£500/mo) A named AI colleague with persistent memory that keeps the CRM current and remembers the account

Pricing is indicative and shown in the currency each vendor publishes (USD for the US-based tools; Frntir in GBP). Agentforce is consumption-priced, so the figures shown are Salesforce's published models, not a single seat price. UK buyers should factor in FX and VAT, and verify current pricing directly before shortlisting, since these tools change their AI pricing often.

The alternatives, one by one

Each tool is described by what it is best at, and where it is the wrong fit. A comparison where one option wins every row is not worth reading.

The incumbent

Salesforce Agentforce

The benchmark for autonomous agents inside a CRM: agents that act on your Salesforce data across Sales, Service and Marketing Cloud, deflecting cases and taking multi-step actions with limited hand-holding. Its strength is depth and nativeness. If you are already on Salesforce, with clean data and the admin capacity to configure and supervise agents, and you have the volume of conversations to justify them, that is exactly what Agentforce is for, and it is one of the most complete platforms in the category.

Best for: mid-to-large organisations already standardised on Salesforce that want autonomous agents acting on their CRM data, and can forecast the consumption. Less ideal for: teams not on Salesforce, or whose real need is upkeep or a single recurring job, for whom the platform is heavier and its usage-based bill harder to plan than the problem warrants.

If you already run HubSpot

HubSpot Breeze

Breeze is HubSpot's AI layer: agents and copilots native to the HubSpot CRM, covering customer support, prospecting and data upkeep. Its most interesting move is pricing. In April 2026 HubSpot shifted several Breeze agents to outcome-based pricing, so you pay when the task actually completes rather than per attempt: the Customer Agent is $0.50 per resolved conversation, the Prospecting Agent $1.00 per recommended lead, and the Data Agent $0.10 per answer, drawn from HubSpot credits. For a smaller team that is the appeal, cost tracks results rather than seats or raw usage. The catch is the same as any native tool: the value is real only if HubSpot is already your CRM.

Best for: teams already on HubSpot that want native agents with pay-for-outcome pricing. Less ideal for: organisations not on HubSpot, for whom adopting the CRM to get the agents is a far bigger decision than the AI.

If you live in Microsoft 365

Microsoft Copilot for Sales

Copilot for Sales is an assistant, not an autonomous agent: it sits inside Outlook and Teams, drafts and summarises, surfaces CRM data where sellers already work, and writes updates back to Salesforce or Dynamics 365. It is priced at $50 per user per month standalone, or $20 per user as an add-on for teams that already have Microsoft 365 Copilot. Its advantage is location: if your sellers live in Outlook and Teams all day, the assistant meets them there rather than in another tab. Note that Microsoft has begun moving its role-based AI toward a consumption "Copilot Credits" model, so confirm current pricing before you commit.

Best for: Microsoft 365 shops that want a selling assistant over their existing CRM, met inside the tools reps already use. Less ideal for: teams that need agents to act autonomously at volume, since a copilot waits to be asked rather than running the job itself.

The bundled, cost-conscious pick

Zoho Zia

Zia is Zoho's AI, built into Zoho CRM rather than sold as a separate product: lead and deal scoring, anomaly detection, forecasting, best-time-to-contact, and a conversational assistant. Its defining feature is the bill. Zia is included in Zoho CRM's Enterprise and Ultimate plans, from around $40 per user per month, with no separate AI add-on or usage credits, and it comes bundled into Zoho One (around $37 per user per month annual) as well, which makes it the cheapest of the mainstream options because it rides a licence you already pay for. It is more assistant than autonomous agent, and it is strongest when Zoho is your CRM.

First-hand note: this is the one tool on the list we run ourselves. Frntir's own lead flow sits on Zoho CRM, so we can say from using it that Zia's scoring and enrichment arrive switched on with the licence, with no separate AI line on the invoice. It is genuinely useful for keeping a pipeline scored; it is not trying to be an autonomous, multi-cloud agent platform, and does not price like one.

Best for: cost-conscious SMB and mid-market teams on Zoho CRM that want AI bundled into the licence rather than metered. Less ideal for: teams not on Zoho, or those needing high-volume autonomous agents, which is beyond what a bundled assistant is built to do.

A different job: pipeline data

Clay

Clay is on this list mostly so you can rule it out for the right reason, because it is not an Agentforce competitor in the same sense. It sits upstream of the CRM: finding prospects, enriching records from dozens of data providers, and scoring or routing them before a human or an agent ever works them. It runs on a dual credit system (data credits for enrichment, actions for platform work) with a free tier, a Launch plan at $185 a month, and a Growth plan at $495 a month, where CRM sync to Salesforce or HubSpot first becomes available. If your problem is that the records reaching your CRM are thin or stale, Clay fixes that. It does not resolve customer conversations or keep the CRM tidy once records are in.

Best for: revenue teams that want clean, enriched, prioritised pipeline flowing into the CRM. Less ideal for: anyone expecting a customer-facing agent or CRM upkeep, which is a different job entirely from data enrichment.

A different kind of option

Frntir (the AI-colleague approach)

Frntir is not a like-for-like Agentforce competitor. The tools above are AI you switch on inside a CRM. Frntir builds AI Synths: named AI colleagues with persistent memory that are given a recurring job rather than a platform to log into, and that work across the tools your team already uses. For CRM that usually means the upkeep nobody enjoys and that quietly decides whether the pipeline can be trusted: logging the calls, emails and meetings, chasing the fields reps leave blank, and keeping the record current so the numbers are real. Because a Synth remembers the work it does as a by-product of doing it, the account context carries from one cycle to the next. The trade-off: a CRM agent platform can run large volumes of customer-facing conversations inside its own system; a Synth owns the specific jobs it is given and is not a full customer-facing agent platform.

Best for: teams whose real pain is that reps lose selling time to CRM data entry and the record is never quite current, rather than needing a new agent platform. Less ideal for: organisations that need to deflect thousands of customer conversations autonomously inside one CRM, which is what an agent platform is built for.

Pricing: £500/mo per full-time colleague (£6,000/yr), no setup fee, whole team included.

Before you buy: the AI you may already own

One check saves a lot of money here. If you already run a modern CRM, a good part of what an AI agent platform sells (an assistant, lead scoring, drafting, summarising) is probably already in your stack or a cheap add-on, so test what you own before buying a separate platform.

Most CRMs used by mid-sized teams now ship AI in the box or nearby: Zoho has Zia bundled, HubSpot has Breeze, Microsoft has Copilot across Dynamics 365, and Salesforce layers assistive AI into its own editions before you ever reach Agentforce. A separate, autonomous agent platform earns its price when you genuinely need agents acting unattended at volume, and you have the clean data and admin capacity to run them safely. If you have not yet switched on and lived with the AI you already pay for, that is the cheapest first move, and it will show you whether an agent platform is the real gap or whether the gap is somewhere the platform does not reach.

CRM AI glossary (2026)

A few terms come up on every vendor page in this category. Here is what they mean.

Agentic AI / AI agent
Software given a goal that then decides and takes the steps to reach it, acting across a conversation or workflow with limited human hand-holding, rather than waiting for each instruction.
Copilot / assistant
AI that sits beside a person and helps on request: drafting, summarising, suggesting a next step. The human stays in control and clicks send. The line between copilot and agent is how much the tool does unattended.
Deflection
The share of customer queries an AI resolves without a human. It is the headline metric support agents are sold on, and the number a usage-based tool will quote back to justify its cost.
Consumption / usage-based pricing
You pay for what you use (conversations, actions, credits) rather than a flat fee per seat. It scales with activity, which makes it flexible but hard to forecast until you have run real volume.
Outcome-based pricing
You pay only when the AI completes a defined result, such as a resolved conversation or a delivered lead, rather than per attempt. It shifts some of the risk of the AI misfiring onto the vendor.
Lead scoring and enrichment
Scoring ranks leads by how likely they are to convert; enrichment fills in the missing details (company, role, contact data) from outside sources. Both are about the quality of records before anyone works them.
System of record
The single tool that holds the authoritative version of your data (here, the CRM). Some AI tools become part of it; others sit over or upstream of it without replacing it.
Data hygiene / CRM upkeep
Keeping records complete, current and de-duplicated: logging activity, filling blank fields, correcting stale entries. It is the work that quietly decides whether the pipeline can be trusted.

Which should you choose?

Match the tool to your situation, not to a leaderboard. There is no single winner here, because these tools are built for different CRMs, different budgets and different jobs.

The question underneath the tool choice

Every tool here helps in some way. The deeper question is whether your problem is volume or continuity. If you are drowning in customer conversations and need to resolve them at scale, an agent platform is the answer. If instead the same recurring job (keeping the CRM current, logging what happened, chasing the fields reps skip) never quite gets done because it lives between people and no one owns it, a bigger platform will not fix that. That is the gap an AI colleague is built for, and it is a different decision from picking the best CRM AI agent.

Related guide: AI agents vs copilots vs chatbots vs digital workers

Sources and method

Vendor capabilities and positioning are drawn from each company's own site and from 2026 third-party coverage. Salesforce Agentforce launched in 2024; its pricing is consumption-based and Salesforce publishes several models (a per-conversation rate of about $2; Flex Credits reported at ~$500 per 100,000 credits, a standard action ~20 credits or ~$0.10; a per-user option from ~$125/user/mo added in 2026), from Salesforce's own Agentforce pricing pages and 2026 coverage in Constellation Research. HubSpot Breeze outcome pricing (Customer Agent $0.50 per resolved conversation, Prospecting Agent $1.00 per recommended lead, Data Agent $0.10 per answer, drawn from HubSpot credits, effective April 2026) is from HubSpot's own company-news announcement and MarTech. Microsoft Copilot for Sales pricing ($50/user/mo standalone, $20/user/mo as an M365 Copilot add-on; note the shift toward consumption "Copilot Credits") is from Microsoft's own pricing and 2026 licensing guides. Zoho Zia (bundled in Zoho CRM Enterprise/Ultimate from ~$40/user/mo, and in Zoho One from ~$37/user/mo annual, with no separate AI line item) is from Zoho's own pricing pages. Clay pricing (free tier; Launch $185/mo; Growth $495/mo, where Salesforce/HubSpot CRM sync begins; dual data-credit and action model, revised March 2026) is from Clay's own pricing page and 2026 pricing breakdowns. Frntir pricing (£500/mo, or £6,000/yr, per full-time colleague) is our own list price. Figures are indicative and shown in the currency each vendor publishes; these tools change their AI pricing frequently, so confirm current figures directly before shortlisting. Last reviewed August 2026. If you spot anything out of date, tell us and we will correct it.

Frequently asked questions

What is the best alternative to Salesforce Agentforce?
There is no single best alternative, because these tools do different jobs. If you already run HubSpot, HubSpot Breeze gives you agents native to that CRM with pay-for-outcome pricing. If you are a Microsoft 365 shop, Microsoft Copilot for Sales adds a selling assistant over the CRM you already have. If you want AI bundled into the licence rather than metered, Zoho Zia comes switched on with Zoho CRM. If your problem is upstream, getting clean, enriched pipeline in before anyone works it, Clay is a data tool, not an agent. And if the real pain is that CRM upkeep eats your reps selling time, an AI colleague such as Frntir owns that recurring job. Match the tool to the job, not to a ranking.
How much does Salesforce Agentforce cost?
Agentforce is priced by consumption, so there is no single seat price. Salesforce publishes more than one model: a per-conversation rate of about $2, and Flex Credits reported at around $500 per 100,000 credits, where a standard action consumes roughly 20 credits (about $0.10) and a voice action about 30. In 2026 Salesforce also added a per-user option framed as digital labour, reported from around $125 per user per month, giving buyers a flatter alternative to usage billing. The practical catch for a mid-sized team is that consumption pricing makes the monthly bill hard to predict until you have run real volume through it, and Agentforce generally assumes you are already on a paid Salesforce edition underneath. Get a current quote directly and model your own expected volume.
Is there a cheaper Agentforce alternative for a mid-sized business?
Yes, in two directions. If you want AI inside a CRM without a separate meter, Zoho Zia is bundled into Zoho CRM Enterprise and Ultimate from around $40 per user per month with no separate AI line item, which is the cheapest of the mainstream options because it rides the licence you already pay for. If you want outcome pricing rather than seats, HubSpot Breeze charges when a task actually completes (Customer Agent at $0.50 per resolved conversation, for example). Both are lighter and more predictable than Agentforce consumption for a smaller team. The trade-off is scope: neither reaches as far as a fully autonomous, multi-cloud agent platform, which for many mid-sized teams is more than the problem needs.
What is the difference between an AI agent and a CRM copilot?
A copilot sits beside the person and waits to be asked: it drafts an email, summarises a call, or suggests a next step, but a human is still driving and clicking send. Microsoft Copilot for Sales and much of Zoho Zia are copilots. An AI agent is given a goal and takes the steps to reach it, deciding and acting across a conversation or a workflow with less hand-holding: resolving a support case end to end, or qualifying and routing a lead. Agentforce and HubSpot Breeze agents sit here. The distinction matters for both cost and control: an agent can do more unattended, but you have to decide how much autonomy you are comfortable giving it and how it is supervised. For a fuller breakdown, see our field guide on AI agents, copilots, chatbots and colleagues.
Do I still need Agentforce if my CRM already has AI built in?
Often not to begin with. Most modern CRMs now ship AI in the box or as a cheap add-on: Zoho has Zia, HubSpot has Breeze, Microsoft has Copilot across Dynamics 365, and Salesforce itself layers assistive AI into its editions. A separate agent platform earns its price when you genuinely need autonomous, high-volume agents acting on your data, and you have the clean data and admin capacity to run them well. If you have not yet switched on and used the AI you already pay for, that is the cheapest first move, and it will also tell you whether an agent platform is really the gap.
Where does an AI colleague fit against a CRM AI agent?
A CRM AI agent lives inside a specific platform and is scoped to that platform jobs: deflecting support tickets, or drafting replies for reps in the CRM. An AI colleague (what Frntir calls a Synth) is scoped to a recurring job instead, and works across the tools your team already uses rather than only inside one CRM. For sales that usually means the upkeep nobody enjoys: logging calls, emails and meetings, chasing the missing fields, and keeping the record current so the pipeline is trustworthy, with memory that carries the account context from one cycle to the next. The trade-off is coverage: a CRM agent platform can run large volumes of customer conversations inside its own system; a Synth owns the specific jobs it is given and is not a full customer-facing agent platform. If your pain is deflecting thousands of tickets, buy the agent platform. If it is that your reps spend their selling time on data entry, that is the gap a colleague is built for.
Aidan Dunphy Cyril Le Roux
Aidan Dunphy & Cyril Le Roux are the co-founders of Frntir.

Aidan has 25+ years in product strategy and technology leadership (B.Sc. Mathematics, Executive MBA). Cyril has 20+ years scaling product organisations, including as VP Product at TransferGo (MBA, The Open University). Frntir builds AI Synths for mid-sized businesses.

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