Rasa vs Fini: pro-code framework vs a finished support agent
Teams researching Rasa are usually engineering teams evaluating a conversational AI framework, while teams researching Fini are usually support and CX leaders who want a working agent live in weeks, not a platform to build one on top of.
This page compares them honestly. Rasa is a strong, well funded framework for teams that want to build and own their own conversational AI stack. Fini is a finished, per-resolution customer support agent for teams that want outcomes, not infrastructure. They rarely compete for the same buyer, but if you are weighing both, here is what the evidence actually shows.
In this comparison: What each is · How they differ · Capabilities · Feature by feature · Ease of use · What customers say · The full side-by-side · Which to choose · Compliance · FAQ
What is Fini?
Fini is an AI customer support agent priced per resolution, backed by Y Combinator and Matrix Partners. It connects natively to helpdesk, knowledge base, CRM, billing, claims, and EHR systems, and handles support across voice, chat, and email in 130+ languages with a first response of around 5 seconds. Fini is already resolving more than 3 million conversations a month across fintech and healthcare, at a 90% resolution rate and 99% accuracy, and typically goes live within 30 days.
Pricing is flat at $0.49 per resolution, with no per-seat fees, and Fini backs it with a 90-Day Money-Back Guarantee: if Fini does not hit 90% resolution within 90 days, you do not pay for the shortfall. See Fini's pricing for the full breakdown.
What is Rasa?
Rasa is a developer platform for building conversational AI, not a finished agent. Founded in 2016 in Berlin, Rasa offers a free, self-hosted open source core plus Rasa Pro, a pro-code commercial framework configured through YAML "Flows" and custom Python actions. Rasa Studio adds a no-code layer on top, but it is bundled into the paid Business tier as a collaboration UI, not a replacement for the underlying engineering work.
Rasa deploys self-hosted, on-premises, in a private cloud, or fully air-gapped, and its own site names its buyers as "Enterprise IT/Tech Leaders" and "Development Teams." That is a meaningful signal: Rasa is built for engineering and IT teams to construct a conversational system, not for a support or CX team to configure one.
Rasa pricing in 2026
Rasa's pricing page lists a free Developer Edition capped at 1,000 external conversations a month, or 100 internal, with community forum support only. Above that, the Business plan (Rasa Pro plus Rasa Studio) and the Enterprise plan are both quote-gated, "contact sales" tiers with no public price.
That is a platform-license model, not an outcome-based one: Rasa does not price against a resolution or a conversation outcome at all, so the cost of actually getting a working bot includes whatever engineering time it takes to build and maintain it on top of the license. Fini's pricing is the opposite: flat, public, and tied to resolutions, starting from $0.49 per resolution with no per-agent charges.
How Fini and Rasa differ
The honest framing: Rasa is a weak like-for-like competitor to Fini. It is a framework for engineering teams to build a custom conversational system, self-hosted and pro-code, while Fini is a finished, managed agent purpose-built for customer support. If your team wants to own and build a bespoke conversational AI stack with in-house engineers, Rasa is a legitimate option. If you want a support agent that resolves tickets starting in 30 days without hiring for it, that is Fini's category, not Rasa's.
Capabilities side by side
Capability | Fini | Rasa |
|---|---|---|
Deployment model | Fully managed SaaS | Self-hosted, on-prem, or air-gapped |
Buyer | Support and CX teams | IT and engineering teams |
Setup | No-code, configured by the business | Pro-code, YAML flows plus Python actions |
Time to live | About 30 days | Not stated; depends on the build |
Pricing | $0.49 per resolution, public | Quote-gated Business/Enterprise tiers |
Channels | Voice, chat, and email | Text-based flows via custom integration |
Feature by feature
Feature | Fini | Rasa |
|---|---|---|
Native integrations | Helpdesk, knowledge base, CRM, billing, claims, EHR | Requires custom actions and API integration work |
Languages | 130+ | Not specified as a packaged feature |
First response time | About 5 seconds | Depends on implementation |
Resolution accuracy | 90% resolution at 99% accuracy | No published resolution or accuracy metric |
Guarantee | 90-Day Money-Back Guarantee (90% in 90 days or no charge for the shortfall) | None published |
Maintenance | Managed by Fini | Owned by the customer's engineering team |
Ease of use and admin experience
Fini is designed to be configured by the team that owns support, not by engineers. It connects to your existing helpdesk, knowledge base, CRM, billing, claims, or EHR systems and goes live in about 30 days.
Rasa's ease-of-use story runs the other way. Even with Rasa Studio's no-code flow builder available in the Business tier, the underlying system is still YAML-configured Flows and custom Python actions, running on infrastructure your own team hosts, patches, scales, and upgrades. There is no evidence on Rasa's site of a support or CX team standing up or maintaining a bot without engineering involvement.
Fini's differentiators
Outcome-based pricing
$0.49 per resolution with no per-seat fees, backed by a 90-Day Money-Back Guarantee if Fini does not reach 90% resolution within 90 days.
Native depth across regulated systems
Direct connections into helpdesk, knowledge base, CRM, billing, claims, and EHR systems, built for fintech and healthcare where Fini already resolves more than 3 million conversations a month.
Multichannel, multilingual out of the box
Voice, chat, and email in 130+ languages, with a first response around 5 seconds, without custom integration work.
Fast, managed time to value
Fini typically goes live in 30 days, configured by the support team rather than built and maintained by engineers.
Rasa's recognized strengths
Rasa is genuinely well regarded within its actual category. It has real, named customers including Providence Health's CALM implementation, JetBrains, Albert Heijn, Deutsche Telekom, N26, and Swisscom, an analyst nod as a Forrester Wave 2026 Strong Performer, and backing from investors including Andreessen Horowitz, PayPal Ventures, and Accel. For an engineering team that wants full control over infrastructure, model providers, and dialogue logic, and is prepared to build and maintain that system in-house, Rasa Pro is a credible, mature framework. Its CALM approach to combining deterministic flows with LLMs is a genuine technical differentiator versus prompt-and-pray bots.
What customers say
Rasa's clearest published case study is Providence Health, cited for a 59% goal completion rate per conversation using Rasa CALM. Worth noting: that story is validated from an engineering director's perspective, reinforcing that Rasa's internal champion tends to be technical, not a CX or support leader. BNP Paribas appears only as a logo on Rasa's customer page, with no dedicated case study or quote, so it should not be read as a verified regulated-industry deployment.
Fini customers describe a different kind of win: an operations team seeing resolution volume and accuracy move without adding headcount, and a support function that stops feeling like a cost center to manage and starts feeling like a system that runs itself.
The full side-by-side
Dimension | Fini | Rasa |
|---|---|---|
What it is | Finished, managed customer support agent | Pro-code framework for building conversational AI |
Primary buyer | Support and CX leaders | IT and engineering leaders |
Deployment | Managed SaaS | Self-hosted, on-prem, or air-gapped |
Pricing model | Flat, public, per resolution | Opaque, quote-gated platform license |
Compliance certifications | Compliance stack built for regulated industries | None publicly listed; no SOC2, HIPAA, or ISO found |
Time to live | About 30 days | Depends on the in-house build |
Best fit | Teams that want a working agent now | Teams that want to build and own a custom stack |
Which should you choose?
Choose Rasa if you have an engineering team that wants to own a custom conversational AI stack end to end, needs air-gapped or fully self-hosted deployment for infrastructure reasons, and has the time and headcount to build, host, and maintain it.
Choose Fini if you run support, claims, or patient operations and want a finished agent that resolves tickets across voice, chat, and email starting in about 30 days, priced against outcomes instead of seats or platform licenses. For a look at how Fini compares against other categories, see how it stacks up against Boost.ai and Kore.ai.
Compliance
This is one of the sharpest contrasts between the two. Rasa's compliance pitch is built entirely around self-hosting: you control the infrastructure, so you control compliance. As of September 2026, no SOC2, HIPAA, or ISO 27001 certification is publicly listed anywhere on rasa.com, and dedicated trust or security pages return 404s. That is not necessarily disqualifying for a self-hosted framework, but it does mean the compliance burden sits entirely with your own team.
Fini is built for regulated fintech and healthcare from the ground up, with a compliance stack designed for the EHR, claims, and billing systems it connects to natively. If compliance certification is something you need a vendor to already carry rather than something you build yourself, that is a meaningful difference. Learn more about Fini's AI agent approach to regulated industries or talk to the team directly.
Ready to compare on your own data?
If you are evaluating Rasa because you assumed every conversational AI vendor is a framework, it is worth seeing what a finished agent looks like on your own tickets first. Talk to Fini and see resolution rate, accuracy, and time to live against your own data before you commit engineering time to building one from scratch.
Is Rasa a good alternative to Fini for customer support?
Not really. Rasa is a pro-code framework aimed at engineering and IT teams building a custom conversational AI system, while Fini is a finished customer support agent that goes live in about 30 days. They serve different buyers with different goals.
How much does Rasa cost compared to Fini?
Rasa's Business and custom pricings are quote-gated with no public price, on top of a free tier capped at 1,000 conversations a month. Fini charges a flat, public $0.49 per resolution with no per-seat fees.
Does Rasa require engineering resources to run?
Yes. Rasa Pro is configured through YAML flows and custom Python actions, and it deploys self-hosted, on-premises, or air-gapped, so your own team owns the infrastructure, upgrades, and maintenance. Fini is a managed agent that does not require an engineering team to operate.
Is Rasa SOC2, HIPAA, or ISO certified?
No SOC2, HIPAA, or ISO 27001 certification is publicly listed on rasa.com as of September 2026, and its dedicated trust and security pages return 404s. Rasa's compliance approach relies on self-hosting rather than third-party certification.
Who is Rasa actually built for?
Rasa's own site names its target buyers as Enterprise IT/Tech Leaders and Development Teams, not customer support or CX leaders. That confirms it is built as a developer platform rather than a finished support tool.
How fast can Fini go live compared to building on Rasa?
Fini typically goes live in about 30 days because it is a finished agent configured against your existing systems. Rasa has no published time-to-live figure because the timeline depends entirely on how long your engineering team takes to build and deploy a custom system.
