Top 10 Sierra AI Competitors & Alternatives to Try in 2025

TL;DR

Sierra AI is a solid choice for autonomous customer support, but it’s not the only one. We reviewed 10 Sierra AI competitors—like Replicant, Kore.ai, Capacity, and others—to help you find the best fit for your business. Whether you need voice-first automation, omnichannel support, or strong integrations, there’s a tool here that matches your goals, budget, and tech stack.

---

Are you in the market for autonomous AI agents that can help your customers solve issues on the spot, optimize your support team, and save time? Then you’ve probably come across Sierra AI. This enterprise AI startup, focused on building autonomous AI agents for customer-facing use cases, has become a popular option for businesses that want to automate their customer support.

However, if you want a unified experience, integrations, and knowledge management tools—all in one—you might also be interested in Sierra AI’s competitors.

We prepared an honest overview of Sierra AI agents and gathered 10 Sierra AI competitors and alternatives based on different business needs and goals to make it easier for you to find the best option out there.

Ready?

What is Sierra AI?

Sierra AI is an enterprise AI company founded by Bret Taylor, a former co-CEO of Salesforce and current OpenAI board chair, and Clay Bavor, a former product management director at Google. Together, they used their experience to build an autonomous, AI-powered tool that helps businesses across different industries automate and optimize customer support.

Sierra AI agents offer an omnichannel customer experience, where users can engage with AI-powered bots and agents in natural language to get their questions or problems solved.

The company offers solutions for industries like:

• Telemarketing
• Healthcare
• Retail
• Media
• And more

The idea is not just to have chatbots that respond to queries but to deploy agents that can reason, predict, act, and integrate with backend systems to make information flow seamlessly between platforms. For example, you might see Sierra AI in action when calling a hospitality business to book a room or chatting with an AI chatbot on an e-commerce site to process a return.

Sierra AI: main features

• Sierra AI agents: The platform makes it easy to build, deploy, and manage AI agents across channels like voice, chat, and other mediums where they can engage with users and act independently based on predefined rules and guardrails.
• Voice and text support: Sierra AI emphasizes voice as a primary channel in addition to text and chat. Sierra AI’s customer service goal is to ensure a call experience where users get the same or even better service quality than they would when interacting with human agents.
• Integration and action: They aren’t just answering questions—Sierra AI agents can take actions like updating CRM records or triggering emails behind the scenes.
• Security, compliance, and auditing: The platform is built with guardrails, supervision, secure integrations with systems of record, policy enforcement, and auditing in mind.

However, with the tool’s focus on AI voice agents, some users have noticed that features like knowledge management, a unified helpdesk experience, and assistance tools for human service teams are missing.

Sierra AI pricing

Sierra AI pricing is somewhat complicated, and the company doesn’t disclose it on its website. There’s also no mention of a free trial. Based on information from third-party platforms, Sierra AI pricing is custom, using a model where clients pay when the agent successfully resolves a case.

With this guide on Sierra AI and its competitors, our goal is to show you what you get with this tool and what other options you have. We gathered reviews from multiple SaaS product websites like G2, Futurepedia, and others to provide an honest, 360-degree review of Sierra’s capabilities and limits. 

We also believe that choosing a SaaS tool for your business isn’t a one-day job—it takes time to find what works for you, and it’s best to find the right solution from the start to avoid wasting time and money.

Here’s what we looked at when selecting Sierra AI competitors:

• What each platform is best for: enterprise, small businesses, e-commerce, etc.
• Main features of each platform
• Pros and cons of each tool
• Information on their free trial or demo availability, because we firmly believe that trying before buying is the way to go

So, with that being said, let’s look at what customers say about Sierra AI.

Why look for alternatives to Sierra AI?

You might want to look for Sierra AI alternatives due to the tool’s steep learning curve, missing features, and complicated pricing. We analyzed its reviews across SaaS product pages to get a clear view of the factors that make users opt for Sierra AI competitors. Let’s take a look.

Limited functionality

Sierra AI agent capabilities are currently stronger at outbound automation—where it initiates contact—than at inbound. You might face this limitation when it can’t easily handle inbound calls or route them like a full contact center solution would. While that’s not an issue for many companies, it’s not ideal if your business receives a lot of incoming support calls or needs IVR-style routing.

Support channel gaps

Although Sierra AI invests a lot in optimizing its AI-powered voice technology, it’s not an easy task. That’s why Sierra AI customer service voice interactions through its AI systems can suffer from latency, weak call control, or missing features like IVR or transfers. If you rely heavily on phone support, Sierra AI may underperform.

Steep learning curve

Although marketed as no-code, building advanced agents often requires coding for logic, integrations, and testing. This point is worth keeping in mind because it applies to most AI-powered customer support tools. The key is to be prepared and look for a solution that offers support at every step of the integration process. Otherwise, it’ll take much longer to get it ready, and non-technical teams may struggle.

Other users also mention that the platform is “not very customizable” or has constraints in UI design, which suggests that deeper customization may require coding.

Difficult pricing and enterprise readiness

Sierra AI offers a unique pricing model where you’re charged based on the outcome. On paper, it looks good—hey, you’re saving money on features you don’t need. But it also makes budgeting unclear, especially for enterprises that work across multiple verticals.

How to choose the best Sierra AI competitor: Look for these 10 features

To choose the best Sierra AI competitor or alternative, you need to identify:

• Your goal: Do you want to integrate omnichannel customer support? Do you want to cut hold times? Think of a few goals specific to your business, and when searching for the right platform, make sure it has a strong focus on those objectives.
• Your budget: Look for service providers that offer clear pricing for what you need. Calculate your budget in advance to understand how much the new tool will cost you now and as you scale. It’s very important to budget beyond just the first few months and promotions.
• Features you need: Different tools offer different features. Don’t jump to the first option your competitors or partners use—it might not be useful for your business and could just add unnecessary costs. For example, if you’re looking for a customer support automation tool and need easy information transfer between systems, look for platforms that offer not only automation but also knowledge management and similar features.

Out of these three points, the most difficult one is knowing what features to look for. Let’s analyze the main functionality an AI-powered customer support platform should provide.

1. Inbound and outbound support

Your chosen platform should both initiate conversations and respond to incoming ones, with full handoff and routing capabilities. Features like support call transfer and queuing, IVR logic, escalation paths, and context retention across sessions improve agent support for better CX.

Hospitality companies offer a good inbound and outbound customer service example. Imagine a guest calls to ask about pet policies at one of your hotels. An AI voice agent provides the information, but when they ask if another hotel in the same city has dog-friendly amenities—it freezes. Many real customer journeys are unpredictable: a customer may call first or respond later. If your AI agent can’t handle inbound interactions or failover properly, it’ll break the experience.

2. No-code capabilities

A true visual flow builder, like drag-and-drop, with prebuilt actions, branching, and fallback logic, is the first step toward smooth setup and successful integration. Research shows that no-code and low-code platforms can cut development time by 50–90%.

The ability to connect to systems like your CRM, databases, and APIs without coding can elevate your results with a new tool, from solving a few problems to autonomously operating on multiple levels. This lowers the barrier for non-technical teams while still providing flexibility when needed.

3. Clear and predictable pricing

Transparent, tiered, or usage-based pricing with caps or ceilings makes it easier to plan your budget in advance. If you get a custom quote that might increase with extras like telephony add-ons, platform fees, or AI model surcharges, you risk losing money. 

As mentioned before, choosing a business tool is a commitment that takes time and will influence your operations and budget in the long term. You need to be able to budget, forecast ROI, and compare alternatives. Knowing exactly what invoice to expect after promotions end or as you scale is a must.

4. Strategic analytics

Beyond basic dashboards, you want analytics like resolution rate, drop-off points, conversational bottlenecks, topic trends, and agent handoff metrics. The ability to segment metrics by campaign, channel, agent, or time—and run A/B tests based on data—is also a crucial feature to have.

Gathering data is also important for the continuous learning of your AI agents. The value of an AI agent comes not just from automation but from improvement over time. 

5. Strong security and compliance

Customer support is a tricky business because you have to navigate different requests, customers, and private information. The tool you choose must offer enterprise-grade security. 

This includes:

• Encryption in transit and at rest
• Role-based access control
• Audit logs
• Masked PII
• Data isolation
• Secure APIs

In addition, it should comply with standards relevant to your industry, such as SOC 2, ISO 27001, HIPAA, PCI, and GDPR.

According to a recent report, 90% of IT leaders expressed concerns about the growing use of AI because their primary worry is data security.

For many organizations—especially in healthcare, finance, or government—security is the key factor. If a tool can’t meet your compliance requirements, you can’t use it in high-risk scenarios.

10 best Sierra AI competitors you should check out

The best alternative to Sierra AI is going to be a tool that meets (and hopefully exceeds) your needs and expectations. 

We gathered 10 Sierra AI competitors with features like:

• Omnichannel customer support
• Conversational AI
• Internal and external customer support integration
• Knowledge management
• And more

Let’s take a look at each platform, including its main features, pros, cons, and whether it offers a free trial.

Sierra AI alternative	Best for	Pros	Cons	Free trial/demo
Replicant	High call volumes	– Strong voice quality and call handling – Inbound and outbound capabilities	Less focus on text/chat channelsPricing can be enterprise-tier only	Demo
Kore.ai	Omnichannel AI assistants	– Great for multichannel support – Enterprise-grade compliance and integrations	Steeper learning curve for full customizationUsage limitationsSlow loading times	Free trial: 14-30 days
Cognigy	Enterprise-grade integrations	– Powerful enterprise integrations – Strong voice capabilities	Not ideal for small teamsCan be too complex for advanced customization	Demo
PolyAI	Conversational AI	– Ultra-realistic voice experience – Handles complex inbound conversations	Might not work for highly regulated industries like legal or financeLacks voice analytics	Demo
Bland AI	Programmable voice agents for outbound calls	– Great outbound automation – Simple API-based deployment	Limited inbound handlingMinimal UI/no-code tools	100 free calls
Capacity	Unified internal and external customer support and knowledge management	– Excellent for internal and external support automation – No-code and easy to deploy – Combines chat and corporate knowledge base – Omnichannel reach – Tools for agents	Might be best suited for growing and enterprise-grade companies	Free trial: 14 days
Synthflow AI	Call automation	– Fast to deploy for voice use cases  – Strong support for telephony and call integration	Can get expensive for smaller companies – While basic features are straightforward, deep customization is complex and comes with a steep learning curve	Free trial: 14 days
Amelia	Enterprises with complex, long-running conversational workflows like banking, telecom, or internal support	– Very strong at handling complex conversations – Good for customers who need long-lifecycle support	Steeper ramp-up and implementation timeline – Some users have noticed glitches and loading issues	N/A
Uniphore	IT-focused teams that want high customization and security	– “Full-stack” contact center context – Scalable and enterprise-ready	– More heavyweight, requiring greater vendor involvement – Might be overkill for smaller operations or simple use cases – Steep learning curve and cost complexity	Demo
boost.ai	Companies in highly regulated industries	– High security and extra control – Strong focus on AI automation with feedback loops	– Voice and telephony support may not be first-class – Scaling or customization may require development support	Demo

1. Capacity

Best for: Unified internal and external customer support and knowledge management

Capacity is an AI-powered automation platform that unifies and automates support tickets, knowledge management, and internal workflows across chat, email, voice, and other channels. If you’re looking for more than just a band-aid solution, this is a strong alternative to Sierra AI worth your time. Unlike most similar tools on the market, Capacity offers a white-label solution designed to give your business an AI-powered automation layer—whether it’s for internal or external customer support.

Main features

• No-code builder: Capacity leans heavily on no-code features to help teams of all levels build custom bots and automate their customer support tasks. For example, you can use a drag-and-drop builder to create custom workflows like triggering an automated email or SMS after a booking.
• Knowledge base and ticketing: Capacity combines a helpdesk and knowledge base to provide a unified experience. Both customers and team members get easy access to information and automation tools like Answer Engine® for chat-style assistance or web chatbots for quick help.
• Integrations: You can integrate the tool with Slack, Teams, CRMs, and over 250 tools you probably already use—no need to change your stack because Capacity adapts.
• Agent assist: True automation isn’t just about adding AI agents as the front line of your customer support—it’s also about giving your human team the tools to thrive. Capacity offers agent assist features to find answers instantly, live suggestions during interactions with customers, and convenient tools like call or chat summaries automatically uploaded to your CRM.
• Intelligent virtual agents: Whether you want to reduce hold times, deflect over 90% of inquiries, or better utilize your support teams, Capacity’s intelligent virtual agents can perform many different tasks autonomously without human intervention. The best part is that they learn as they go—so the more they interact with your customers or team, the smarter and more capable they become.

Pros

• Excellent for internal and external support automation
• No-code and easy to deploy
• Combines chat and corporate knowledge base
• Omnichannel reach
• Many tools for agents

Cons

• Might be best suited for growing and enterprise-grade companies

Free trial: Yes, Capacity offers a 14-day free trial.

2. Replicant

Best for: High call volumes

If your customer support mainly relies on calls, then Replicant is a strong option to consider. Replicant is a voice-first AI platform built for customer service automation. It’s known for its “Thinking Machine,” which holds natural, human-like phone conversations and handles calls from start to finish without waiting on hold or human agents.

Main features

• Advanced voice AI for inbound and outbound calls that can handle complex topics and solve customer inquiries on the spot or escalate to human agents
• Integrates with CRMs, ticketing systems, and IVRs for smooth information flow
• Real-time analytics and reporting
• AI that learns from conversations to improve over time

Pros

• Strong voice quality and call handling
• Inbound and outbound capabilities

Cons

• Less focus on text/chat channels
• Pricing can be enterprise-tier only

Free trial: There’s no information on the website about a free trial, but the company offers a demo.

3. Kore.ai

Best for: Omnichannel AI assistants

Kore.ai is a conversational AI platform that powers bots and virtual assistants across voice, chat, and digital channels. It’s a highly customizable alternative to Sierra AI, with a strong focus on enterprise-grade features.

Main features

• No-code visual flow builder to help you customize AI-powered business assistants
• Omnichannel capabilities that allow AI agents to engage with users across web chat, phone, SMS, WhatsApp, etc.
• Strong analytics dashboards and NLU tuning, where you can track metrics like deployment, latency, response time, etc.
• Security and compliance with major regulations like SOC 2, GDPR, etc.

Pros

• Great for multichannel support
• Enterprise-grade compliance and integrations

Cons

• Steeper learning curve for full customization
• Usage limitations
• Slow loading times

Free trial: Kore.ai offers 14–30-day free trials for its premium plans.

3. Cognigy

Best for: Enterprise-grade integrations

Cognigy is a low-code AI automation platform specializing in contact center AI. It helps create smart virtual agents for voice and chat that integrate deeply into backend systems. It has strong features for retail and e-commerce businesses, allowing customers to engage with natural-sounding AI agents.

Main features

• Visual conversation designer that makes it easier to build communication workflows for less tech-savvy teams
• Integrates with CCaaS platforms like Genesys, Avaya, etc.
• Voice and chat automation let you engage customers across channels without losing context or sounding robotic
• Analytics, monitoring, and AI training tools ensure that Cognigy learns as it goes—the more you use it, the better it becomes

Pros

• Powerful enterprise integrations
• Strong voice capabilities

Cons

• Not ideal for small teams
• Can be too complex for advanced customization

Free trial: Offers a demo version.

5. PolyAI

Best for: Conversational AI

PolyAI focuses on voice AI for conversational customer experiences, designed to sound natural and handle full conversations—not just scripted responses. However, some users note that the platform can be difficult to navigate and might have industry limitations. If that’s your concern, you might want to check PolyAI alternatives.

Main features

• Natural, human-like voice AI that allows hospitality, retail, and even healthcare industries to provide conversational assistance
• Inbound and outbound call handling
• Integrates with existing call center systems for easier setup and seamless information exchange
• Multilingual support in over 40 languages, both voice and text

Pros

• Ultra-realistic voice experience
• Handles complex inbound conversations

Cons

• Might not work for highly regulated industries like legal or finance
• Lacks voice analytics

Free trial: You can request a demo.

6. Bland AI

Best for: Programmable voice agents for outbound calls

Bland is another voice AI tool that automates customer support. It’s a developer-friendly AI voice platform built for automating phone calls at scale—ideal for outbound campaigns and programmable AI calling.

Main features

• Voice APIs for call automation
• Customizable scripts and workflows that allow companies with complex customer support needs to tailor the platform
• Real-time voice recognition and text-to-speech capabilities
• Integrations via REST API that allow seamless information exchange between the platform and your CRMs, booking systems, databases, or ticketing tools

Pros

• Great outbound automation
• Simple API-based deployment

Cons

• Limited inbound handling
• Minimal UI/no-code tools

Free trial: You can try their basic plan for free with 100 calls.

7. Synthflow AI

Best for: Call automation

Synthflow AI is a voice-AI platform that lets you build and deploy phone-based agents using a no-code interface. It emphasizes low latency, natural voice conversations, and integration with telephony systems.

Main features

• No-code voice agent builder for phone calls that lets you customize workflows and automation sequences
• Handles inbound and outbound calls and offers seamless transfers to humans when facing more complex issues
• Multilingual support and telephony integrations with SIP trunking, phone numbers, etc.
• Real-time transcription, LLM-based conversational logic, and speech-to-text pipelines

Pros

• Fast to deploy for voice use cases 
• Strong support for telephony and call integration

Cons

• Can get expensive for smaller companies
• While basic features are straightforward, deep customization is complex and comes with a steep learning curve

Free trial: Yes, they offer a 14-day free trial.

8. Amelia by SoundHound

Best for: Enterprises with complex, long-running conversational workflows like banking, telecom, or internal support

Amelia is a mature conversational and agentic AI platform that handles complex dialogues, often used by enterprises for customer care, IT support, and more. It also has strong agentic features that let AI agents act independently.

Main features

• Deep conversation management, memory, and context retention across sessions
• Ability to join or assist live agents during conversations
• Integration with enterprise systems like ERP, CRM, backend APIs, and more
• Multiple deployment modes, such as cloud and hybrid

Pros

• Strong at handling complex conversations
• Good for customers who need long-lifecycle support

Cons

• Steeper ramp-up and implementation timeline
• Some users have noticed glitches and loading issues

Free trial: Not disclosed.

9. Uniphore

Best for: IT-focused teams that want high customization and security

Uniphore is a conversational AI and automation platform built with a strong focus on contact centers and enterprise workflows—combining voicebots, agent coaching, automation, and analytics. It emphasizes enterprise-grade security and scalability.

Main features

• Voicebots and chatbots with NLP, intent routing, and fallback logic
• Agent assistance that offers real-time coaching and suggestions during customer interactions
• Analytics, conversational insights, and sentiment tracking to help personalize conversations across channels
• Strong integration with contact center infrastructure

Pros

• “Full-stack” contact center context
• Scalable and enterprise-ready

Cons

• More heavyweight, requiring greater vendor involvement
• Might be overkill for smaller operations or simple use cases
• Steep learning curve and cost complexity

Free trial: Not disclosed, but they offer a demo.

10. boost.ai

Best for: Companies in highly regulated industries

boost.ai is a conversational AI platform that offers chatbots with self-learning, analytics, and strong enterprise features. Thanks to its emphasis on security and compliance, it’s a strong option for companies operating in highly regulated industries.

Main features

• Drag-and-drop bot builder with self-learning capabilities
• Analytics and reporting tools to monitor automation and escalation rates
• Integration with multiple channels like web chat, messaging, email, etc.
• Testing environment, version control, and fallback logic for extra control and security

Pros

• High security and extra control
• Strong focus on AI automation with feedback loops

Cons

• Voice and telephony support may not be first-class
• Scaling or customization may require development support

Free trial: Not disclosed, but they offer a custom demo.

Omnichannel customer support and corporate knowledge management in one

AI-powered customer support agents can help your business deliver excellent customer service, speed up resolution times, and even boost upsell opportunities. But every business is different, and finding the right tools for your company takes time. While Sierra AI is a great option, don’t forget to explore Sierra AI competitors and alternatives for different tasks and operations.

Just to recap—the top 10 Sierra AI alternatives are:

1. Replicant
2. Kore.ai
3. Cognigy
4. PolyAI
5. Bland AI
6. Capacity
7. Synthflow AI
8. Amelia
9. Uniphore
10. boost.ai

If your goal is full-on automation, omnichannel customer support that maintains context and brand consistency, and unified business knowledge you can actually use to your advantage, then Capacity is a solution worth checking out. We invite you to book a demo—no commitment—just to see how true automation works!

FAQs