10 Best Fin AI Alternatives in 2026 (From $0.05 per Conversation to Enterprise)

Fin is the default name in AI customer support agents, so much so that Intercom renamed the whole company after it in 2026, shortly before Salesforce agreed to acquire it. It is a genuinely strong agent. What sends teams looking for alternatives is usually the bill: $0.99 for every outcome on every plan, where an "outcome" includes a customer who simply stops replying, so cost scales with volume in ways that are hard to forecast. There are two honest questions to ask before comparing tools. First: do you want the same per-outcome model for less? There are agents from $0.05 per conversation. Second, and less asked: do you need a customer-facing bot at all, or does your team need AI working inside the inbox, included in the price? This guide covers both, ten real Fin alternatives grouped by tier, plus the different approach, and where Fin is still the right call.

If you are looking to leave the Intercom platform entirely rather than just replace the AI agent, see our Intercom alternatives guide and the Drag vs Intercom comparison.

A note on pricing: verified July 2026 from vendor pages and published analyses. AI agent pricing changes fast; confirm on each vendor's site.

Fin alternatives compared at a glance

Tool	Tier	Pricing model	Best for
Hugo (Crisp)	Budget self-serve	~$0.05/conversation (credits in Crisp plans)	Small teams wanting the cheapest published rate
Featurebase Fibi	Budget self-serve	$0.29/resolution + $29/seat	SaaS teams consolidating support + feedback
My AskAI	Budget sidecar	$0.10/ticket flat	Keeping your helpdesk, replacing just the AI layer
eesel AI	Budget sidecar	$0.40/task; simulation mode	Testing on historical tickets before paying
Parahelp	Specialist	Unpublished (~$0.50-$1.00/res. est.)	Technical SaaS with complex tickets
Lorikeet	Specialist	Custom	Regulated industries (fintech, health)
Sierra	Enterprise	~$150K+/yr	Large enterprises, deep customization
Decagon	Enterprise	~$50K platform fee + usage	Enterprise reliability + testing focus
Ada	Enterprise	Custom	High-volume containment/deflection
Salesforce Agentforce	Enterprise	~$2/conversation + licensing	Salesforce-standardized service orgs
Fin (baseline)	Category default	$0.99/outcome, 50/mo min, seats $29-$132	Teams wanting the proven default, incl. standalone on other helpdesks
Drag	Different approach	$12 to $24/seat, AI included, no per-outcome fees	Teams that need AI in the team's inbox, not a customer-facing bot

(Drag is intentionally not numbered among the agents: it is not a per-outcome bot. Its row is the different approach, covered in its own section below.)

First, understand what you are being charged for

Per-outcome and per-resolution pricing only charges when the AI closes a conversation, which sounds fair until you read each vendor's definition. Fin counts an "assumed resolution" when a customer exits without asking for more help, which in practice includes customers who gave up. Per-conversation pricing (Hugo, Agentforce) charges for every exchange the AI touches, resolved or not, but at much lower rates. Flat per-task or per-ticket pricing (eesel, My AskAI) is the most predictable. And one honest number to plan around: vendors advertise 65 to 86 percent resolution, but production data clusters at 40 to 70 percent, with Fin's own case studies at 42 to 50. Whatever you choose, model your real volume at a realistic resolution rate before signing. For the wider picture of how AI is priced across support tools, see the AI pricing models section of our shared inbox guide.

Budget self-serve agents (the Fin model, for less)

1. Hugo - cheapest published rate, built on MCP

Hugo is Crisp's AI agent (launched 2026, at hugo.ai) and currently the cheapest published rate in the category at roughly $0.05 per conversation, twenty times below Fin's per-outcome price. It connects to your tools through MCP, is model-agnostic (Claude, ChatGPT, Llama), and resolves autonomously with human handoff.

• Pricing: ~$0.05/conversation via credits bundled in Crisp plans (Mini $45 includes $5, Essentials $95 includes $25, Plus $295 includes $75). Credits expire monthly; Hugo stops answering when they run out unless Pay-As-You-Go is on.
• Watch-outs: only lives inside Crisp (platform commitment), chat-first heritage, and the credit model needs monitoring.

2. Featurebase Fibi - lowest per-resolution rate

Fibi charges $0.29 per AI resolution plus $29 a seat, the lowest published per-resolution rate, inside a platform that bundles support, help center, and product feedback.

• Pricing: $0.29/resolution + $29/seat; free plan available.
• Watch-outs: a full platform switch, not a bolt-on; younger product than the enterprise tier.

3. My AskAI - flat-rate sidecar on your existing helpdesk

My AskAI plugs into Intercom, Zendesk, and others and replaces just the AI layer at a flat $0.10 per ticket, the "keep your helpdesk, swap the AI bill" play.

• Pricing: $0.10/ticket.
• Watch-outs: you still pay for the helpdesk underneath; lighter platform than the agents above.

4. eesel AI - test it on your history before paying

eesel plugs into 14+ helpdesks at $0.40 per task and its simulation mode runs the agent against your historical tickets so you can measure your real resolution rate before spending anything, a genuinely useful de-risking step in a category full of optimistic benchmarks.

• Pricing: $0.40/task (pay-per-task since early 2026); Enterprise from $2,100/mo.
• Watch-outs: thin independent review base relative to claimed customer count; double-platform cost applies here too.

Specialist agents

5. Parahelp - for technical SaaS with complex tickets

Parahelp (YC-backed, used by Perplexity and Replit) is built for hard, technical, multi-step tickets and is vendor-managed rather than self-serve, closer to a deployed engineering service than a widget.

• Pricing: unpublished; market estimates $0.50 to $1.00 per resolution with contracts starting in the low five figures.
• Watch-outs: demo-gated pricing, vendor dependency for configuration, and you still need a helpdesk underneath.

6. Lorikeet - for regulated industries

Lorikeet targets regulated scale-ups (fintech, health) with an escalate-rather-than-guess design stance and audit-friendly operation, the right instinct where a wrong answer is a compliance event.

• Pricing: custom.
• Watch-outs: aimed at regulated scale-ups; overkill for a simple FAQ load.

Enterprise platforms

7. Sierra

Enterprise conversational AI with deep customization; contracts typically $150K+ a year. For organizations with the volume and engineering resources to consume a platform.

8. Decagon

Enterprise agent platform positioned on reliability and testing; ~$50K annual platform fee plus per-conversation usage.

9. Ada

High-volume containment and deflection with standardized workflows; custom enterprise pricing.

10. Salesforce Agentforce

AI embedded in Salesforce Service Cloud at roughly $2 per conversation plus licensing. Worth noting: Salesforce is acquiring Fin, so Agentforce and Fin are heading into the same house, which makes the Salesforce path worth understanding even if you never planned it.

The consolidation backdrop (read before signing multi-year)

Two of the biggest names in this list changed hands in 2026: Salesforce agreed to acquire Fin (deal signed June 2026, not yet closed; pricing unchanged for now), and Zendesk acquired Forethought, a multi-agent platform with median contracts around $59.5K. Consolidation is not a reason to avoid these products, but it is a reason to weigh contract length, data portability, and roadmap risk. An agent you configure deeply is expensive to leave.

A different approach: the whole inbox, not just a bot

Full disclosure: Drag is our product, and it is deliberately not in the numbered list above, because it is not a per-outcome customer-facing agent. It is the other answer to the Fin bill. Many teams evaluating Fin discover mid-evaluation that what they actually need is not a bot talking to customers, it is AI working inside the team's inbox: drafting replies, summarising threads, triaging and tagging, included in the seat rather than metered. Drag does that inside Gmail from $18 a seat with no per-outcome fees, publishes its own MCP server (43 tools across 11 categories) so assistants like Claude can act on your inbox directly, and has a customer-facing agent, Drag Agent, in early access. If your volume is modest and your team resolves most things themselves, this path usually costs a fraction of any metered agent, and nothing about it bills you when a customer walks away. If you specifically need autonomous customer-facing resolution at scale today, choose from the list above.

When Fin is still the right choice

Fin earned the default position. It has the lowest published per-outcome rate among the big names, a 14-day trial, the largest review base in the category, and, underrated, it now runs standalone on eight-plus other helpdesks, so you do not need to move to Intercom to use it. If you want a proven customer-facing agent, have the volume for real deflection, and can absorb usage-based billing (including its broad definition of an outcome), Fin is a strong choice. The alternatives here are for teams optimising for price predictability, a specialist fit, or a different approach entirely.

How to choose

Three questions narrow the field fast: What does the vendor count as a billable event, exactly, and what would last month have cost at your volume and a realistic 40 to 70 percent resolution rate? Do you need the agent inside your existing helpdesk (sidecars: My AskAI, eesel, Parahelp) or are you willing to adopt a platform (Hugo/Crisp, Fibi/Featurebase)? And do you need a customer-facing bot at all, or AI in the team's inbox (what is an AI support agent)? One last honest data point: Klarna famously claimed its AI did the work of 700 agents, then rehired humans after quality dropped. The winning 2026 pattern is hybrid, AI on the routine volume, humans on judgment, clean handoff between them.