Sierra AI Alternatives: Top 10 Tools Compared 2026

People arrive at Sierra alternatives for two different reasons. Either the evaluation is genuinely enterprise, and the question is which platform executes multi-step actions against your legacy systems. Or the outcome-based contract came back at a number that made the whole project look absurd for the size of the problem.

By the end of this article you will know which of these nine serve the first case and which serve the second, what each one charges per resolution, per conversation or per agent, and which of them publish a rate at all. Every figure came off the vendor's own page in August 2026.

Why You Can Trust This Comparison

• We priced all nine ourselves, off each vendor's own page in August 2026. Five of them publish a rate and three quotes per organization, and where the number only comes from a sales call we say so rather than borrowing one from somebody else's roundup.
• We ran the arithmetic rather than eyeballing it, including what a five-agent team costs annualised on every platform that publishes enough to work it out, and we show the workings so you can check them.
• We do not repeat resolution rates. Every percentage in this category is vendor-reported, we could not find one independently verified, and the only number that has ever told us anything is what a proof-of-concept does to your own backlog.
• We say when a platform is the wrong fit. Some of the options here are the wrong tier for most people who will read this, and naming which ones is more useful than finding a way to recommend all nine.

Two Different Buyers Search This, and They Need Opposite Things

This matters more than any feature table, because half the disappointment in this category comes from buying the wrong tier rather than the wrong product.

If You Are Running Enterprise Customer Service

You need multi-step action execution against real systems, omnichannel orchestration across chat, voice and email, knowledge management, and compliance you can put in front of an auditor. That is Decagon, Ada, Agentforce, Cognigy and Kore.ai, and you should expect quote-only pricing and a proof-of-concept before anyone commits. Zendesk AI and Intercom Fin are the fast paths if you already run one of those helpdesks.

If You Approached Sierra and the Number Did Not Match the Problem

A large share of people searching for Sierra alternatives are not running an enterprise contact center. They are a service business, a clinic, a multi-location operation, and what they actually need is the phone answered, the caller qualified and the job booked. Nothing in the enterprise group above is built for that, and the honest recommendation is to stop shopping in this tier entirely. ServiceAgent is the entry on this list for that reader, and it is not pretending to be an alternative to Agentforce.

The 9 Best Sierra AI Alternatives in 2026, Compared

Five of the nine now put a number in front of you, which is more than this category usually manages. Kore.ai at $0.20 a conversation and Intercom Fin at $0.99 an outcome are the two cleanest rates here, and the gap between them is a fair illustration of how differently these platforms define the unit they charge for. The three that quote per organization at least publish the model, which is what lets you sanity-check a proposal when it arrives.

Which Alternative Fits Your Channel and Stack

How to Choose a Sierra Alternative

Ask These 4 Questions Before You Talk to Sales

• What exactly counts as a billable resolution? Intercom charges once per conversation when the customer confirms resolution, stops asking, or Fin completes a Procedure including handoffs. Zendesk charges per automated resolution. Get the definition in writing, because it decides your invoice.
• What does a proof-of-concept cost and how long does it take? Every resolution-rate figure in this category is vendor-reported, so the only number worth having is the one your own tickets produce.
• How does it reach my legacy systems? Ask for the specific integration path rather than a logo wall, because this is the most common reason enterprise deployments stall.
• Am I buying the right tier at all? If the honest answer is that you need calls answered rather than multi-department orchestration, the enterprise shortlist is the wrong shortlist and the saving is measured in tens of thousands.

Then Run a Proof-of-Concept on Your Own Tickets

• Use your real backlog, not a curated set. Resolution accuracy on clean sample tickets tells you nothing about the messy ones that make up most of a support queue.
• Measure containment and escalation separately. A high resolution rate with poor handoffs produces worse customer outcomes than a lower rate with clean escalation.
• Price the pilot at your real volume before you sign. On per-resolution billing your cost scales directly with success, which is fair and can still surprise you.
• Test the free routes where they exist. Salesforce Foundations is free, Rasa is open source, and ServiceAgent has a free tier, so three of the nine can be evaluated without a contract.

1Decagon

Best for: enterprise support teams that want Sierra's capability with less engineering to get there.

Decagon is the most direct competitor to Sierra and the one most often named alongside it. Its pitch is configuration in plain English rather than an engineering project: you describe the workflow and the agent executes multi-step actions against your systems, which is the same job Sierra does with a different amount of build effort.

It suits compliance-heavy support where structured automation matters more than conversational flourish, and it is the usual choice for teams that liked Sierra's approach and wanted faster deployment. Pricing is custom enterprise, so it inherits the same problem that sent you looking in the first place.

Key features

• Workflow automation configured in plain English rather than code, which is the difference in deployment speed against a managed engagement
• Multi-step action execution against connected systems, so the agent completes tasks rather than answering questions about them
• Structured automation aimed at compliance-heavy support, where the audit trail on what the agent did matters as much as the resolution

Pros

• The closest capability match to Sierra on this list, so an evaluation that got as far as Sierra transfers almost intact
• Plain-English configuration puts changes in the hands of the CX team rather than in an engineering queue
• Positioned for fast-moving support automation, which is the specific complaint teams raise about managed deployments

Cons

• Custom enterprise pricing with nothing published, so it cannot be compared on cost without entering the same sales process you were trying to avoid
• Its resolution-rate claims are vendor-reported, as they are across this entire category, so a proof-of-concept on your own tickets is mandatory rather than optional
• Aimed squarely at enterprise support volumes, so a small team gets a quote sized for somebody else
• No self-hosted option, so if data residency is the constraint this is not the answer

How much does Decagon cost?

Decagon does not publish pricing and quotes per organization on a custom enterprise basis. Expect a proof-of-concept and a volume-based contract rather than a rate card.

Bottom line: the strongest like-for-like swap for Sierra, with the same pricing opacity.

2ServiceAgent

Best for: service businesses that reached Sierra, saw enterprise contracting, and realized the problem was smaller than the solution.

This is the entry for a specific reader, and it is worth being direct about who. If you run an enterprise contact center with multi-department orchestration and legacy integration requirements, skip this and read the eight around it. If you got here because Sierra was quoting enterprise money to handle customer conversations for a business with a handful of locations, this is the tier you should have been shopping in.

ServiceAgent answers the phone on the first ring, qualifies the caller, books the job into a calendar and writes the record into a CRM with unlimited contacts, included free. It handles the same underlying job as everything else here, which is resolving a customer interaction without a person, at a price that matches the size of that job. The Franchise plan is $279 for a year. A single 1,000-outcome month on Intercom Fin is $990.

Key features

• AI voice answering 24/7 with concurrency, plus appointment booking during the call including reschedules and cancellations, and a booking widget for your site
• A Unified CRM with unlimited contacts included free, with a Unified Record consolidating the call recording, invoice and job photos against one customer
• A Unified Inbox across SMS, email, WhatsApp and live chat, with a Command Center dashboard, Revenue Intelligence tying spend to booked work, and a full audit trail
• Quotes and invoices with Tap-to-Pay and an Outstanding Receivables report, so the interaction ends in a transaction rather than a ticket

Pros

• A published flat price of $0 to $279 a year, which is less than a single month of any enterprise platform on this list and the only rate here you can act on immediately
• A free tier means the evaluation costs nothing and takes an afternoon, against a proof-of-concept engagement everywhere else
• It ends the interaction in a booking, an invoice or a payment rather than a resolved ticket, which is what a service business actually needs from automation

Cons

• It is not an enterprise CX platform and does not pretend to be. There is no multi-department orchestration, no legacy-system integration layer and no omnichannel routing across a contact center.
• It is built for home services and the trades, so a SaaS support queue, an airline or a bank is served properly by Decagon, Ada, Cognigy or Kore.ai and not by this
• AI voice only with no live human tier, so an escalation reaches your own staff rather than a managed agent pool
• SOC 2 certification is in progress rather than complete and HIPAA is not claimed, which rules it out where compliance is the gating requirement

How much does ServiceAgent cost?

Launch is free, Core $39, Growth $95 and Franchise $279, all billed yearly, with the CRM and unlimited contacts at every tier. Voice minutes draw on credits at 15 per minute, putting Growth at roughly $0.24 a minute.

Bottom line: the right answer if the enterprise quote was the wrong size for your problem, and the wrong one if you genuinely run a contact center.

3Intercom Fin

Best for: SaaS and digital-first support teams that want a published rate and no integration project.

Intercom Fin is the clearest pricing in this entire category and the reason it belongs near the top of any Sierra comparison. It charges $0.99 per outcome, and it publishes what an outcome is: the customer confirms the issue is resolved, or they stop asking for help after Fin responds, or Fin completes a Procedure including handoffs. One charge per conversation however many questions get answered.

Fin is included on all three Intercom seat plans, at $29, $85 and $132 per seat a month, so if you already run Intercom there is no integration project at all. That combination of a published rate and zero deployment effort is exactly what Sierra's outcome-based contracting does not offer.

Key features

• A published rate of $0.99 per resolved outcome, with the definition of an outcome stated openly rather than negotiated
• Charged once per conversation regardless of how many questions are answered, so a long multi-issue exchange costs the same as a single query
• Procedures for multi-step workflows, including handoffs, which count as a completed outcome when the agent finishes them
• Included on every seat plan at $29, $85 and $132 per seat a month, so the AI is not a separate purchase or a separate contract

Pros

• The most transparent pricing on this list by a wide margin, and the only per-resolution rate you can model before speaking to anyone
• Charging once per conversation rather than per question is genuinely fair and rare in outcome-based billing
• No integration effort for existing Intercom customers, which removes the deployment risk that stalls enterprise projects
• Publishing the outcome definition means you can audit your own bill, which no quote-only platform here allows

Cons

• Per-resolution billing scales directly with success, so 1,000 outcomes a month is $990 before seats and a busy month costs more than a quiet one
• It is built around the Intercom workspace, so a team on another helpdesk is buying a platform migration rather than an AI agent
• Its resolution-rate figures are vendor-reported and the research itself notes independent validation is limited, so treat the comparison claims as marketing

How much does Intercom Fin cost?

Fin is $0.99 per resolved outcome, charged once per conversation. Seats are $29 for Essential, $85 for Advanced and $132 for Expert per month, with Fin included on all three.

Bottom line: the best-priced option here if you are on Intercom, and a migration decision if you are not.

4Ada

Best for: mature CX teams that want to own the agent without needing engineers.

Ada is the established no-code option in this tier, built so that customer experience teams run the automation themselves rather than filing tickets with engineering. Its multilingual coverage is among the strongest here, which matters for any support operation spanning regions.

Where it differs from Sierra is ownership of the day-to-day. Sierra's managed model means changes go through Sierra; Ada's means your CX team makes them. For a mature support organization that already knows its own workflows, that is usually the faster arrangement. Pricing is custom, so the comparison against Sierra on cost still requires a sales call.

Key features

• A no-code builder designed for CX teams to manage directly, so changes do not queue behind engineering capacity
• Strong multilingual support across a wide language set, which suits support operations spanning regions
• Voice-enabled agents alongside digital channels, so the same automation covers phone and chat

Pros

• The most mature no-code option in this tier, with a long track record in digital-first customer service
• Your own team owns and iterates the agent, which removes the dependency that frustrates teams on managed deployments
• Voice and digital in one platform, where several competitors treat voice as a separate product
• Multilingual depth is a genuine differentiator against the US-centric options here

Cons

• Custom pricing with nothing published, so it does not solve the evaluation problem that sends people away from Sierra
• No-code has a ceiling, and deeply bespoke multi-step actions against legacy systems will still need engineering involvement
• Aimed at mature CX organizations, so a team without existing workflow documentation will find the setup heavier than it looks

How much does Ada cost?

Ada does not publish pricing and quotes per organization. Expect a custom enterprise contract scoped against volume, channels and language coverage.

Bottom line: the pick if your CX team wants to own the agent, priced the same opaque way as Sierra.

5Salesforce Agentforce

Best for: organizations already committed to Salesforce that need action-taking against CRM records.

Agentforce is the answer when the constraint is your CRM rather than your helpdesk. Because it sits natively inside Salesforce, the agent takes action against your actual records rather than reading from an integration, which is the specific gap enterprises cite when they say legacy-system integration decided the choice.

It is also the most complicated pricing on this list, and worth reading carefully. Flex Credits are published at $500 per 100,000. A Conversations buying model exists, though you have to ask what it costs. Add-ons are $125 per user a month, Industries add-ons $150, and Agentforce 1 Editions start at $550 per user a month including 2.5 million Flex Credits a year. Salesforce Foundations is free, and a Digital Wallet tracks usage across models.

Key features

• Native CRM action-taking, so agents update and act on Salesforce records directly rather than through an integration layer
• Flex Credits published at $500 per 100,000, with Pre-Purchase and consumption buying models and a Digital Wallet to track usage
• Per-user options alongside consumption: add-ons at $125 a user, Industries add-ons at $150, and Agentforce 1 Editions from $550 a user including 2.5 million credits a year
• Agentforce Voice and both customer-facing and employee-facing agents, with a free Salesforce Foundations tier to start building

Pros

• The deepest CRM integration available here, which directly addresses the legacy-integration complaint that pushes teams off Sierra
• A free Foundations tier means you can build and test before any commitment, which almost nothing else in this tier offers
• Flex Credits give a published consumption rate, so at least part of the cost can be modeled without a sales call

Cons

• The per-conversation rate never appears despite the Conversations model existing, so the buying option most comparable to Sierra's is the one you cannot price
• Agentforce 1 Editions from $550 a user work out at $33,000 a year for five users, which is enterprise money for a support team of five
• The pricing structure spans credits, conversations, per-user add-ons and editions, which makes honest forecasting genuinely difficult
• It only makes sense inside Salesforce, so adopting the CRM to get the agent is a far larger decision than choosing an agent

How much does Salesforce Agentforce cost?

Flex Credits are $500 per 100,000 and Salesforce Foundations is free. Add-ons are $125 a user a month, Industries add-ons $150, Agentforce 1 Editions from $550 a user, and the Agentforce User License $5 a user with Flex Credits required.

Bottom line: the obvious choice on Salesforce and an expensive irrelevance anywhere else.

6Zendesk AI

Best for: support teams already on Zendesk that want an agent layer rather than a new platform.

Zendesk AI is the lowest-friction option here. AI agents are included in every Suite and Support plan and billed per automated resolution, so you pay only for requests the agent successfully resolves. There is no separate platform, no new vendor and no integration project, because the agent sits inside the workspace your team already uses.

Suite Team is $55 an agent a month paid yearly and Suite Professional $115, with Copilot available as a $50 an agent add-on from Professional upward. Knowledge management sits in the same place, which is the practical advantage: the agent draws on the help center your team already maintains rather than a knowledge base you build twice.

Key features

• AI agents included in every Suite and Support plan, billed per automated resolution so you pay only for requests the agent actually resolved
• Suite Team at $55 an agent a month paid yearly and Suite Professional at $115, with Enterprise plus Copilot quoted separately
• Copilot as a $50 an agent a month add-on from Professional upward, giving human agents assistance alongside the automated tier
• Native knowledge management inside the same workspace, so the agent works from the help center your team already maintains

Pros

• The lowest-friction option on this list for an existing Zendesk team, with no new platform and no integration work
• Per-automated-resolution billing means the AI tier costs nothing on tickets it cannot handle
• Published per-agent pricing, which puts it in the small group here you can budget without a call
• Knowledge management and the agent in one place removes the duplicate-content problem that undermines bolt-on agents

Cons

• The rate for an automated resolution does not sit alongside the seat prices, so only part of your cost is knowable upfront
• Suite Enterprise with Copilot is quote-only, which is the tier a Sierra evaluation would actually be comparing against
• It is an agent layer on a helpdesk rather than an orchestration platform, so cross-department automation is outside its scope

How much does Zendesk AI cost?

Suite Team is $55 an agent a month paid yearly and Suite Professional $115, with Enterprise quoted. AI agents are included on every plan and billed per automated resolution, and Copilot is a $50 an agent add-on.

Bottom line: the sensible default if you are on Zendesk, and not a reason to move to Zendesk if you are not.

7Cognigy

Best for: enterprises orchestrating an existing contact center rather than replacing it.

Cognigy is built for contact-center orchestration, which is a different job from answering support tickets. It sits alongside existing infrastructure including NICE rather than displacing it, handles omnichannel routing across voice and digital, and is the usual choice for airlines, telcos, insurers and utilities with a real contact center to coordinate.

Against Sierra its argument is integration depth. Where Sierra's managed model prefers a clean stack, Cognigy is designed to slot into a complicated one, which is why it comes up repeatedly when legacy-system integration is the deciding factor. Pricing is custom enterprise with nothing published.

Key features

• Contact-center orchestration designed to sit alongside existing infrastructure such as NICE rather than replacing it
• Omnichannel routing across voice and digital channels from one agent configuration, with multilingual coverage
• Enterprise-scale concurrency and the integration depth that legacy-heavy estates require

Pros

• The strongest answer here to the legacy-integration complaint, because slotting into complex estates is what it is designed for
• Genuine contact-center scale rather than helpdesk scale, which matters if voice volume is measured in thousands of calls a day
• Omnichannel from one configuration, so a customer who starts on chat and calls later meets consistent logic

Cons

• Custom pricing with nothing published, so the evaluation problem that sent you here remains unsolved
• It requires an existing contact center to be worth its cost, and a support team without one is buying orchestration for nothing to orchestrate
• Deployment is an IT project rather than a configuration exercise, so time to value is measured in months
• Overkill for any team below enterprise volume, where a helpdesk-native agent does the same job for a published rate

How much does Cognigy cost?

Cognigy does not publish pricing and sells through enterprise sales. Contracts are scoped against volume, channels and integration complexity.

Bottom line: the right platform if you have a contact center, and a category error if you do not.

8Kore.ai

Best for: large organizations automating beyond support, across several departments.

Kore.ai is the broadest platform on this list. Where most options here automate customer support, Kore.ai is pitched at cross-department orchestration, so the same platform covers customer service, employee-facing workflows and process automation across banking, insurance, telecoms and healthcare.

That breadth is the argument against Sierra for an organization whose automation programme does not stop at the support queue. The company positions itself as an analyst-recognized leader in the category, which is worth treating as vendor positioning rather than independent verification. Pricing is custom enterprise.

Key features

• A published Standard rate of $0.20 per conversation with $500 of free credits, where a conversation is any interaction with under 15 minutes of inactivity
• Omnichannel coverage with deep integration into enterprise systems, aimed at regulated industries with complex estates
• Enterprise security and compliance posture suited to banking, insurance and healthcare deployments

Pros

• The widest scope here, so an automation programme that extends past support does not need a second platform
• Built for regulated industries, where compliance and audit requirements rule out lighter tools
• Integration depth that suits the legacy-heavy estates Sierra's managed model handles least well
• It publishes a per-conversation rate at all, which almost nothing else in this tier does, and $500 of free credits means you can test before committing

Cons

• Only the Standard conversation rate is public. Contact Center AI, Agent AI and the cross-department scope you would actually buy are seat-based or quoted, so $0.20 covers a fraction of a real deployment
• Its analyst-leader positioning comes from the vendor, so verify the current placement yourself rather than taking it as given
• Breadth means complexity, and a team that only needs support automation will implement a fraction of what it pays for

How much does Kore.ai cost?

Its Standard plan is $0.20 per conversation, with $500 of free credits at workspace level for new users. A conversation is any interaction with no more than 15 minutes of inactivity. Contact Center AI and Agent AI are billed by named or concurrent agent seats instead.

Bottom line: the choice when automation is a programme rather than a project, and far too much platform for a support queue.

9Rasa

Best for: engineering-led teams that must own the model and keep data in their own estate.

Rasa is the only option here you can host yourself. It is open source at its core with enterprise licensing on top, which makes it the answer to a constraint no managed platform on this list can satisfy: data that cannot leave your infrastructure and a model you need full control over.

For regulated industries that is often the deciding factor rather than a preference. The trade is that Rasa gives you flexibility and ownership and asks for engineering capacity in return. Nothing answers a customer until your team has built, trained and deployed the assistant, and that cost never appears on a price list.

Key features

• A Free Developer Edition covering 1,000 external conversations a month, or 100 internal, usable in production rather than only for evaluation
• Self-hosted deployment, which keeps conversation data inside your own estate rather than a vendor's
• Full control over the model, the dialogue logic and the deployment pipeline, with no vendor lock-in
• Enterprise licensing available on top for support, tooling and scale, quoted per organization

Pros

• The only self-hosted option on this list, and for a data-residency constraint that makes it the only option full stop
• No vendor lock-in and no dependency on a roadmap you do not control, which matters over a multi-year programme
• The free edition runs in production up to 1,000 conversations a month, so a small deployment can go live without a contract at all

Cons

• It is a framework rather than a product, so nothing resolves a customer request until your team builds and trains it
• Engineering and maintenance are the real cost and never appear on a price list, usually exceeding a managed platform's license for a small team
• The Business and Enterprise tiers are both quoted, so the supported version carries the same pricing opacity as everything else here
• No managed agent pool or human fallback, so escalation paths are yours to design and staff

How much does Rasa cost?

The Free Developer Edition covers 1,000 external conversations a month, or 100 internal, and can be used in production. The Business plan combining Rasa Pro and Rasa Studio and the Enterprise tier are both quoted. The material cost is engineering capacity.

Bottom line: the right answer when ownership and data residency are non-negotiable, and the wrong one without engineers.

How to Run a Sierra Alternative Evaluation in 8 Steps

1. Decide which buyer you are before you contact anyone. Enterprise orchestration and answering customer calls are different products, and the wrong shortlist wastes a quarter.
2. Pull 200 real conversations from your own backlog, including the messy ones. This becomes the test set every vendor gets, and it is the only way to compare resolution accuracy honestly.
3. Write down what counts as resolved for your business, before a vendor defines it for you. Intercom charges when the customer confirms, stops asking, or a Procedure completes including handoffs, and other definitions will differ.
4. Ask every vendor for the billing definition and a worked example at your volume, in writing. On outcome-based pricing your bill scales with success, so model a good month rather than an average one.
5. Map your legacy systems and ask for the specific integration path to each. A logo wall is not an integration, and this is where enterprise deployments stall most often.
6. Run the proof-of-concept on the free routes first where they exist. Salesforce Foundations is free, Rasa is open source and ServiceAgent has a free tier, so three evaluations cost nothing but time.
7. Measure containment and escalation quality separately, not a single resolution percentage. Clean handoffs on the tickets the agent cannot handle matter more to customers than the headline rate.
8. Negotiate the exit before you sign the entry. Ask what happens to your conversation data, your trained configuration and your integrations if you leave, because the managed platforms differ sharply here.

4 Trade-offs to Settle Before You Sign

• Vendor claims against reality. Every resolution-rate figure in this category is self-reported and independent validation is thin, so a proof-of-concept on your own tickets is the only evidence worth acting on.
• Outcome-based against subscription pricing. Paying per resolution feels fair and means your bill grows exactly as the agent succeeds, which can cost more at scale than a seat license would.
• Architecture fit. Managed platforms suit clean stacks and rule out self-hosting, so if data residency or full model ownership is the constraint, Rasa is the only option here that satisfies it.
• Tier fit, which is an expensive mistake. Buying enterprise orchestration for a problem that is really about answering calls costs tens of thousands a year and solves nothing you need solving.

The Verdict: Which Sierra Alternative to Pick

If the evaluation is genuinely enterprise, Decagon is the closest match to Sierra with less build effort, Ada is the pick if your CX team wants to own the agent, Agentforce wins inside Salesforce, Cognigy and Kore.ai win where legacy integration and cross-department scope decide it, and Rasa is the only answer if the data cannot leave your estate. Expect quote-only pricing from all of them, because that is the category rather than Sierra.

And if you arrived here because an enterprise quote turned up for what is really a phone-answering problem, the honest advice is to stop shopping in this tier. ServiceAgent answers the call, qualifies the caller and books the job into a free CRM, at a flat $0 to $279 a year. Start on the free tier and see whether the problem was ever enterprise-sized. It is AI voice only and it is built for service businesses, so keep the platforms above on your list if you genuinely run a contact center.