--- Title: "The 8 best Sierra alternatives for 2027" Url: "https://devrev.ai/blog/sierra-alternatives" Published: "2026-10-29" Last Updated: "2026-10-29" Author: "DevRev Editorial" Category: "Blog, Computer" Excerpt: "Compare Sierra alternatives by connected-system actions, human handoff, pricing model, and fit with an existing support stack." Reading Time: 23 --- # The 8 best Sierra alternatives for 2027 A customer asks where their refund is. The answer sits in an order system and a log, and an agent that only reads the help center can’t find it. Sierra runs one agent across chat, SMS, WhatsApp, email, and voice, and publishes no rates. If that is your situation, these 8 alternatives are compared on actions, escalation, and price. So the choice comes down to a few things: whether the agent can act in your systems, how it hands hard cases to a person, and what it costs to run. This guide compares eight Sierra alternatives and competitors on how each agent acts across systems, how it escalates, published pricing, and G2 rating. Our [AI agents](https://devrev.ai/blog/what-are-ai-agents) guide gives the wider background. ## TL;DR - We compared 8 Sierra alternatives: 1. Computer, by DevRev; 2. Decagon; 3. Intercom Fin; 4. Ada; 5. Zendesk AI agents; 6. Salesforce Agentforce; 7. Cognigy; and 8. Kore.ai. - Sierra publishes no rates and prices on outcomes through its sales team. Fin, Zendesk, and Salesforce publish theirs, but the units differ: $0.99 per outcome, $1.50 to $2.00 per resolution past an allowance, and $2 per conversation. - The alternatives differ on where the agent lives: inside a helpdesk (Zendesk, Fin), inside a CRM (Agentforce), on a contact center platform (Cognigy, Kore.ai), or on a memory shared with product and engineering (Computer, by DevRev). - Zendesk, Salesforce, Fin, and Kore.ai publish handoffs that carry full customer context, and Computer, by DevRev, adds approval gates before sensitive actions. > [!INFO] > **Does your agent stall when the answer lives in an order, a log, or a bug?** [Book a demo](https://devrev.ai/request-a-demo?utm_source=blog&utm_medium=cta&utm_campaign=sierra-alternatives&utm_content=top) and watch Computer, by DevRev, work through one. > > ## ## Why do teams look for Sierra alternatives? A Sierra alternative is any enterprise AI agent platform that resolves customer conversations and takes actions in connected systems. Sierra says it supports 59 languages, holds SOC 2, ISO 27001, ISO 42001, and PCI DSS credentials, and lists HIPAA and GDPR compliance. Four things still push teams to look elsewhere. - **Pricing is set in a sales conversation.** Sierra says it charges on outcomes, such as resolved conversations, saved cancellations, and upsells, with the criteria agreed upfront and escalations generally not charged. It publishes no rates, and routing may be priced per conversation. - **The agent is built in Sierra’s tools.** Ghostwriter creates agents from uploaded SOPs, transcripts, or plain-English goals, and Agent Studio is the build tool. Some teams prefer a platform already connected to their tickets, product data, and CRM. - **Context lives in Sierra’s memory layer.** Horizon includes a customer context and memory layer. Teams whose hard tickets turn on product, billing, and engineering records weigh platforms where one memory serves every function. - **Stack fit.** Teams already on Zendesk, Salesforce, or a contact center platform often ask whether an agent from that vendor carries less integration work. Outcome-based billing is no longer unique to Sierra: Fin, Zendesk, and Salesforce each bill by a unit of AI work, and the units differ. Sierra’s documentation sits behind a sign-in, so public detail comes from its site and blog. ## Sierra alternatives comparison for 2027 | Tool | Key channels | Standout features | Escalation | G2 rating | Pricing | | --- | --- | --- | --- | --- | --- | | **Computer, by DevRev** | Chat, email, WhatsApp, and voice, depending on setup | Reads logs, orders, and session replays; sandbox testing; weekly fix review | Summarizes and escalates to a person; approval before sensitive actions | 4.3 | Contact for pricing | | **Decagon** | Voice, chat, and email; web chat, SMS, and WhatsApp | Plain-language workflows; A/B experiments and always-on QA | Handoff not described on its site | 4.8 | Not published | | **Intercom Fin** | Voice, chat, email, Slack, and social | Procedures with if/else rules and code; runs on top of other helpdesks | Hands off to your team with full context | 4.5 | $0.99 per outcome | | **Ada** | Voice, messaging, and email | Playbooks; API, code, and MCP tools | Handoffs pass context; documented for Zendesk and Salesforce | 4.6 | Not published | | **Zendesk AI agents** | Social, web, mobile, voice, and email | Clarifying questions, then completes the request; prompt shielding | Routes to the right team with full context | 4.3 | Seats from $19 per agent per month; resolutions past an allowance $1.50 to $2.00 | | **Salesforce Agentforce** | Voice, web, portals, SMS, and WhatsApp | Workflows such as scheduling and order management; rep assistant | Escalates with complete customer context | 4.4 | $2 per conversation, or Flex Credits | | **Cognigy** | Voice and chat, with 30-plus omnichannel connectors | 110-plus prebuilt tools; Extension Framework and MCP | Handover to people and AI agents with shared memory | 4.6 | Not published | | **Kore.ai** | Every channel, on one agent desktop | Integrations with Salesforce, ServiceNow, Oracle, SAP, and Dynamics 365; StateTrace and Autoloop | Context-rich handoffs; supervisors can step in | 4.6 | Not published | _Data as of October 2026, from vendor pages and G2. Terms change, so confirm before you buy._ ## How should you evaluate these Sierra alternatives? An agent that only answers questions is easy to find. The harder part is one that acts in your systems, knows when to stop, and costs a figure you can forecast. The table lines up all eight tools on channels, standout features, escalation, published pricing, and G2 rating. The seven criteria below are what to weigh, ordered from most to least important for a team that wants the agent to finish the job. The percentage after each criterion is its weight. - **Actions across systems (30%):** Can the agent update an account, issue a refund, or pull a log, or does it only answer from articles? - **Escalation (20%):** When the agent hands off, does the person get the conversation, the context, and the reason? - **Shared context (15%):** Does the agent draw on product, billing, and engineering records, or only on the support knowledge base? - **Guardrails and testing (10%):** Can you simulate the agent on real conversations, require approval before sensitive steps, and read a log of what it did? - **Channels and languages (10%):** Does one agent cover chat, email, messaging, and voice in the languages your customers speak? - **Pricing you can predict (10%):** Is the unit a seat, a resolution, an outcome, a conversation, or a credit, and is the rate published? - **Fit with your stack (5%):** Does it run beside the helpdesk or CRM you keep, or does it assume you move? The weights add up to 100% and are our editorial choice for that buyer. A team with different priorities should reweight them. **How to weight by situation:** regulated teams should lean on guardrails and testing. Voice-heavy teams should lean on channels and escalation. Teams with a long Salesforce or Zendesk history should lean on stack fit. **How these tools differ:** some agents live inside a helpdesk or CRM, some sit on a contact center platform, and some run on a memory of the whole company. That split drives most of the differences in the entries below. These criteria also apply if you’re coThe best Sierra alternative depends on where your support lives. Zendesk AI agents suit Zendesk teams, Agentforce suits Salesforce teams, and Fin suits chat-first support. Computer, by DevRev, suits self-service that has to reach logs, orders, and product data. mparing [AI agent tools](https://devrev.ai/blog/ai-agent-tools) for other teams. Feature comparisons date fast; these seven criteria hold up. ## What are the 8 best Sierra alternatives? ### 1. Computer, by DevRev: Best for self-service on hard tickets Computer, by DevRev, is rated 4.3 out of 5 on G2 from 210 reviews. DevRev is a Palo Alto company founded in 2020 by Dheeraj Pandey and Manoj Agarwal, formerly of Nutanix, and backed by Khosla Ventures and Mayfield. Computer, by DevRev, runs its Customer Agent on Computer Memory, a permission-aware knowledge graph built from the systems your teams already use. Where many agents stop at the help center, Customer Agent goes into the stack and works through the case. It is an AI teammate, and not a CRM or a stand-alone chatbot. **Key features** - [Customer Agent](https://devrev.ai/use-cases/customer-agent) checks error logs in Datadog, pulls the order from Shopify, replays the customer’s session, and reads console output before it resolves, as DevRev describes it. - [Computer Memory](https://devrev.ai/how-computer-works) keeps support, product, and engineering records in one permission-aware graph. Computer AirSync is a two-way sync with systems such as Salesforce, Zendesk, Jira, GitHub, and Slack. Our [AI knowledge management](https://devrev.ai/blog/ai-knowledge-management) guide explains the foundation. - Teams build in [Agent Studio](https://devrev.ai/agent-studio) with no code, test the agent in a sandbox, and require approval before sensitive actions. Every query, answer, and action is logged. - Each week, Computer reviews the conversations the agent handled and brings a short set of fixes. It also drafts answers for questions the knowledge base is missing, and your team approves each change. - [Voice AI](https://devrev.ai/voice-ai) runs on Customer Agent, and DevRev says it supports up to 70 languages. - When a case needs a person, Customer Agent summarizes the conversation and escalates it to a person. - Computer, by DevRev, works in Slack and Teams, and on desktop, mobile, and web. - DevRev’s [Trust Center](https://security.devrev.ai/) shows SOC 2 Type 2 and ISO/IEC 27001:2022, plus an AI penetration testing assessment. - Every action runs inside the person’s permissions, waits for approval on sensitive steps, is logged, and can be rolled back. **Pricing:** Contact DevRev for [pricing](https://devrev.ai/pricing). **Pros** - It reaches logs, orders, and session replays, so a ticket that needs engineering evidence can still resolve. - The weekly review and drafted knowledge answers keep the agent improving without a rebuild. - It can run beside Salesforce or Zendesk through two-way sync, so a team can start with one workflow. **Cons** - Pricing is by contact, so a budget needs a conversation with DevRev. - A reviewer describes onboarding as real effort. - A team that only needs a help-center chatbot will find it more than it needs. - The full value depends on connecting the systems behind your customers’ problems. **Computer, by DevRev, vs. Sierra:** Sierra deploys one agent across chat, SMS, WhatsApp, email, voice, and ChatGPT and prices on outcomes. Computer, by DevRev, drafts the agent from your support history and shares Computer Memory with the rest of the organization. Sierra sets its outcome-based rates with its team, and Computer, by DevRev, is priced by contact. **What reviewers say** - **Love: Breaking down silos.** A senior product manager writes that “DevRev’s standout value is how it actively breaks down the traditional silos separating support, product, and engineering” (G2, May 5, 2026; incentivized review). - **Complain: Onboarding takes real effort.** The same reviewer writes that “this is absolutely not a plug-and-play solution; initial onboarding requires serious effort” (same review, May 5, 2026). > [!INFO] > **Would the agent need a log, an order, and a bug report to close one case?** Walk that case through a [demo of Computer, by DevRev](https://devrev.ai/request-a-demo?utm_source=blog&utm_medium=cta&utm_campaign=sierra-alternatives&utm_content=mid) and see where the agent goes next. ### 2. Decagon: Best for plain-language workflows Decagon is a San Francisco AI customer support company founded by Jesse Zhang and Ashwin Sreenivas, and it came out of stealth in June 2024. Decagon describes itself as an AI concierge for every customer. Its agents run on voice, chat, and email, and a separate channel serves third-party personal agents under permissions the customer controls. **Key features** - Agent Operating Procedures let teams define agent workflows in natural language. - Its chat product goes beyond answering and takes action across web live chat, SMS, and WhatsApp. - Experiments run live A/B tests, Testing and QA runs simulations at scale, and Watchtower provides always-on QA. - Decagon Assist gives support reps summaries, replies, in-tool actions, and live translation. - Pre-built connectors link the agent to other systems. **Pricing:** Price not published. Decagon’s site offers a demo and states no pricing model. **Pros** - Testing tools are built in: experiments, simulations, and always-on QA. - A workflow can be described in plain language, without a configuration language. **Cons** - The site doesn’t describe how a conversation escalates to a person. - It names no price or pricing model. - It names “pre-built connectors” without listing the systems. **Decagon vs. Sierra:** Both run agents on voice, chat, and email and ship testing tools: Sierra has Insights and Experiments, and Decagon has Experiments, simulations, and Watchtower. Sierra states outcome-based pricing, where Decagon states none. ### 3. Intercom Fin: Best for chat-first support Fin scores 4.5 out of 5 on G2 from 3,922 reviews, under G2’s Fin listing. Our [Intercom alternatives](https://devrev.ai/blog/intercom-alternatives) guide covers the vendor in more detail. Fin is the AI agent from Intercom. It reads from and writes to third-party systems, and it can update accounts, process payments and refunds, and troubleshoot technical issues. **Key features** - Multi-step work is configured as Procedures, and if/else branching and code enforce strict rules. - Fin hands conversations to the human team and keeps full customer context. - It runs on voice, chat, email, Slack, and social channels, in dozens of languages. - It works with Salesforce, Zendesk, HubSpot, and Freshdesk, and Fin says it can go live on any helpdesk in under an hour. - Intercom shows AIUC-1 certification, which its FAQ says includes quarterly adversarial testing. **Pricing:** Fin costs $0.99 per outcome, and a minimum monthly commitment applies. An outcome counts when a customer confirms the issue is resolved, doesn’t ask for more help, or when Fin completes a workflow, including handoffs. **Pros** - A published rate, with no seat cost, setup fee, or platform fee next to an existing helpdesk. - The agent adapts to the helpdesk you keep. **Cons** - An outcome is broader than a strict resolution, so the bill follows a wider count. - Spend grows with outcome volume, and the minimum commitment remains. **Intercom Fin vs. Sierra:** Both price on outcomes. Fin publishes $0.99 per outcome and works on top of other helpdesks, where Sierra sets its rates with its team and runs one agent across its channels. **What reviewers say** - **Love: Clear handoffs when a person is needed.** A technical project manager at a small logistics company writes that Fin “integrates smoothly with existing help desk workflows, resolves a high percentage of common customer inquiries automatically, and provides clear handoffs when human intervention is needed” (G2, August 2, 2026). - **Complain: Specialized questions need knowledge base work.** The same reviewer writes that “handling highly specialized or company-specific requests sometimes requires additional knowledge base refinement” (same review, August 2, 2026). ### 4. Ada: Best for enterprise service Ada is a Toronto-based AI customer service company, founded in 2016 by Mike Murchison and David Gozzo. Ada calls itself an agentic customer experience platform. It serves ecommerce, financial services, gaming, insurance, SaaS, and travel, and it keeps customer context across conversations and languages. **Key features** - Playbooks automate complex standard operating procedures. - Tools let the agent act beyond the conversation: API tools call an endpoint you configure, code tools run a short Python script on the response, and MCP tools connect to an MCP server your company runs. - Handoffs pass relevant context to human agents or support systems, with documented handoffs for Zendesk and Salesforce. - The platform orchestrates multiple LLMs and tests and tunes the agent continuously. - Ada states zero data retention with LLM providers and annual independent penetration testing. **Pricing:** Price not published. Ada’s site offers a demo and an ROI model based on your volume. **Pros** - Code tools give exact, repeatable output when an API response needs trimming or calculating. - Named handoff integrations for Zendesk and Salesforce. **Cons** - No price or pricing model on its public pages. - Public pages describe handoffs briefly, without triggers or data fields. **Ada vs. Sierra:** Both cover voice, messaging, and email with testing and tuning tools. Ada documents API, code, and MCP tools for actions, where Sierra describes connecting to systems of record, from order management to CRM. ### 5. Zendesk AI agents: Best for Zendesk teams Zendesk scores 4.3 out of 5 on G2 from 7,100 reviews. Our [Zendesk alternatives](https://devrev.ai/blog/zendesk-alternatives) guide covers the vendor in more detail. Zendesk was founded in Copenhagen in 2007 and is headquartered in San Francisco. According to Zendesk, its AI agents handle multi-step, multi-intent requests and take action across systems, including legacy environments. They work across social, web, mobile, voice, and email channels. **Key features** - Agents ask clarifying questions first, then complete the request in one conversation. - When a case needs a person, agents route it to the right team with full context. - Voice agents handle call flows from start to finish. - Zendesk says it supports 80 languages. - Prompt shielding and strict accuracy thresholds are part of its AI trust controls. **Pricing:** Seats are $19, $55, and $115 per agent per month on annual billing, on the Zendesk pricing page. Agents are priced on outcomes: five automated resolutions per agent each month come with Support Team and Suite Team, and 10 with Suite Professional. Each resolution past that costs $1.50 on a commitment or $2.00 pay as you go. A 14-day trial is available, and there is no free plan. **Pros** - Agents ship with the help desk, so there is one vendor and one set of tickets. - A published resolution rate. **Cons** - Resolutions past the allowance come on top of seats. - The agent lives inside Zendesk, so a team on another helpdesk has to move. **Zendesk AI agents vs. Sierra:** Zendesk includes agents in every Suite and Support plan and bills resolutions beyond an allowance, where Sierra is a stand-alone agent vendor that bills on outcomes it sets with its team. **What reviewers say** - **Love: Slack integration.** A deployment strategist at a mid-market software company writes, “One of the things I like most about Zendesk is how well it integrates with Slack” (G2, August 13, 2026; incentivized review). - **Complain: The product can feel complex.** The same reviewer writes, “My main frustration with Zendesk is that the product can feel quite complex to use” (same review, August 13, 2026). ### 6. Salesforce Agentforce: Best for Salesforce teams Salesforce scores 4.4 out of 5 on G2 from 8,461 reviews, where G2 names the product Agentforce Service, formerly Service Cloud. Salesforce was founded in San Francisco in 1999. Salesforce describes an Agentforce help agent that triggers complex workflows such as scheduling appointments and managing orders. It is grounded in CRM data, so service and customer records sit under one agent. **Key features** - When a case needs expert help, the agent escalates it and passes the customer’s context to the service team. - It deploys across voice, web, portals, SMS, and WhatsApp. - Service Rep Assistant supports human reps, and Salesforce says it helps with policy compliance. - The full Agentforce for Service suite comes with the Max edition. - Five editions run from Starter Suite to Max. **Pricing:** Editions are $25, $100, $195, $395, and $550 per seat per month, per Salesforce’s pricing page. Agentforce is billed separately, at $2 per conversation or in Flex Credits at $500 per 100,000, where an action is 20 credits. **Pros** - The agent works from the same CRM records as the rest of Salesforce. - Both a per-conversation rate and a credit rate are published. **Cons** - Conversation pricing and Flex Credits can’t be mixed in one org. - A reviewer says setup and customization need technical expertise. **Salesforce Agentforce vs. Sierra:** Agentforce is grounded in Salesforce data and meters by conversation or credit, where Sierra connects to systems of record, from order management to CRM, and prices on outcomes. **What reviewers say** - **Love: Case management, workflow automation, and AI in one platform.** An advanced data analyst at an enterprise consulting firm writes, “I really like how Agentforce Service combines case management, workflow automation, and AI-powered assistance all in one platform” (G2, September 30, 2026). - **Complain: Setup takes technical expertise.** The same reviewer writes that “the initial setup and customization require some technical expertise” (same review, September 30, 2026). ### 7. Cognigy: Best for contact center platforms Cognigy was founded in Düsseldorf, Germany, in 2016 and is now part of NiCE, which completed its acquisition in September 2025. Cognigy is sold as NiCE Cognigy. Its core platform, Cognigy.AI, includes a visual AI Agent Studio for creating and orchestrating agents, a Voice Gateway for voice connectivity, Live Chat, and Agent Copilot. **Key features** - Agents hand off between tasks and to human agents, sharing contextual memory during the transfer. - 110+ prebuilt tools and integrations come in a built-in Marketplace, with an Extension Framework for custom ones and MCP for external tools. - Contact center integrations include Avaya, AWS, Genesys, NiCE, Microsoft, and 8x8. - The platform says it supports more than 100 languages and more than 30 omnichannel connectors. - Cognigy states compliance with GDPR, SOC 2, and HIPAA, with details in its Trust Center. **Pricing:** Price not published. **Pros** - Wide language and channel coverage, including a Voice Gateway. - Handovers to other AI agents as well as people. **Cons** - No price or pricing model on its pages. - Strongest where a contact center platform is already in place, since the integrations it names are mostly contact center systems. **Cognigy vs. Sierra:** Cognigy is a platform for building and orchestrating agents beside contact center systems, where Sierra offers Ghostwriter to build agents from SOPs and transcripts. Sierra states outcome-based pricing, and Cognigy states none. ### 8. Kore.ai: Best for multi-channel enterprises Kore.ai is rated 4.6 out of 5 on G2 from 507 reviews. Kore.ai was founded in 2014 and is headquartered in Orlando. Kore.ai says its AI for Service can resolve customer cases from start to finish, across every channel and system. It covers voice and digital agents, agent assistance, quality management, and an AI-native contact center, on one agent platform. **Key features** - Handoffs carry context, and AI-powered routing unifies AI agents and live agents. - A unified agent desktop covers every channel, and a supervisor desktop lets managers monitor queues and step into live conversations. - Integrations include Salesforce, ServiceNow, Oracle, SAP, and Microsoft Dynamics 365, plus NICE CXone, Five9, Talkdesk, Genesys, and Amazon Connect. - StateTrace captures the execution path across handoffs, state, tool calls, and context to diagnose failures. - Autoloop improves agents against defined goals from first build through production. **Pricing:** Price not published. Kore.ai’s site offers a demo and a request for proposal. **Pros** - A full desk for supervisors and agents next to the AI agent. - Named integrations across both CRM and contact center systems. **Cons** - No published price. - A reviewer reports occasional bugs when configuring complex flows. **Kore.ai vs. Sierra:** Kore.ai pairs agents with a contact center, agent desktop, and quality management, where Sierra describes agents and insights tooling. Neither publishes a price. **What reviewers say** - **Love: Easy to use.** A software developer at an enterprise writes, “What I like best about Kore.ai is how intuitive and user-friendly the platform is” (G2, July 27, 2026). - **Complain: Bugs in complex flows.** The same reviewer writes that “the platform can occasionally present unexpected bugs or inconsistent behavior, especially when configuring and testing more complex conversational flows” (same review, July 27, 2026). ### Other Sierra alternatives worth considering These tools fit narrower needs, so we left them out of the table. - **Forethought** has agents that reason, decide, and act on business policies across chat, email, voice, and Slack, plus an AI copilot for support teams. It shows no price. - **Parloa** is an enterprise platform for building and managing AI agents, focused on contact center uses such as IVR replacement. It shows no price and offers a value calculator. - **Aisera** is an AI agent platform with prebuilt and custom agents, an assistant, and agent assist tools. It sells by quote. - **Cresta** calls itself the AI operating system for customer experience, with an AI Agent for customer conversations and products for human agents. It serves contact centers and publishes no price. - **PolyAI** sells the Wren Dialog Agent and Dialog Studio for voice-first service across phone and messaging. It prices voice per minute and publishes no platform rate. - **Replicant** (G2 4.7 from 45 reviews) sells AI agents for customer service, focused on calls with a warm handoff to a person. It publishes no price. - **eesel AI** lets teams hire AI agents for support on top of a helpdesk, with Zendesk and Freshdesk integrations. It has a free plan with 100 credits, and Teammate starts at $299 a month for 500 credits. ## How do you switch from Sierra? Agent platforms hold less of your data than a helpdesk does, because tickets and customer records stay in your own systems. What moves is the agent’s design. ### What carries over The material Sierra says it builds agents from, such as SOPs, transcripts, and knowledge articles, belongs to your team and can seed a new build. Your helpdesk, CRM, and order systems stay where they are, so the work is reconnecting them to the new agent. ### What needs manual attention Agent logic built in Sierra’s Agent Studio, monitors, and any outcome definitions agreed in your contract need rebuilding or renegotiating on the new platform. Sierra publishes no export guide, and its documentation sits behind a sign-in, so what can leave the platform is set in your agreement. Escalation rules and approval steps need a named owner on the new side. ### Three conditions that keep the move low-risk A switch carries little risk when: - The new platform can reach the same systems of record with the right permissions. - The vendor offers a proof of concept on real customer queries. - Both agents can run in parallel on a share of traffic for a few weeks before you cut over. When all three hold, the migration risk is manageable. Computer, by DevRev, can also run beside an existing agent or helpdesk through two-way sync, so one workflow can move first. ## How do you choose a Sierra alternative? Where the agent should live, how much of the stack it must reach, and how you want to pay narrow the field fast. - **Your cases need logs, orders, and product data.** Choose Computer, by DevRev. - **Your work is mostly API calls in the systems you name.** Choose Ada. - **You run Zendesk or Salesforce.** Choose Zendesk AI agents or Salesforce Agentforce respectively. - **You are chat-first, or want an agent on top of another helpdesk.** Choose Fin. - **You run a contact center platform.** Choose Cognigy or Kore.ai. - **You want strong testing tools.** Choose Decagon, which has experiments, simulations, and always-on QA, or Computer, by DevRev, which has a sandbox and a weekly review. - **Voice is your main channel.** Choose Cognigy, Kore.ai, Zendesk, or Computer, by DevRev, whose Voice AI DevRev says supports up to 70 languages. - **You want a published rate.** Choose Fin, Zendesk, or Salesforce. - **You want one agent across its channels and outcome-based pricing set with its team.** Stay on Sierra. Home and pricing narrow the choice, but one question settles it: does the agent only answer and route, or does it reach the logs, orders, and product data behind each case? That question picks the platform. ## Why is Computer, by DevRev, our pick? Three things set Computer, by DevRev, apart from the other agent platforms here. You can check each one. - **It goes into the stack.** Customer Agent reads logs, orders, and session replays before it resolves, so a hard ticket doesn’t bounce back to a person for lack of evidence. - **It has run in production at volume.** In a pre-launch test on 200,000 real customer queries, BILL measured [a 70% resolution rate](https://devrev.ai/customers/bill) against a 30% approval threshold. In production, BILL’s story says the agent became the first line of response for 800,000 customer inquiries, with deflection above BILL’s 30% goal within six months. - **It acts inside guardrails.** Agents built in Agent Studio run inside the person’s permissions, pause for approval on sensitive steps, and are logged. > [!INFO] > **Choose Computer, by DevRev, if** your hard customer tickets need logs, orders, and product data, and you want an agent that improves every week with your team’s approval. > > [Computer, by DevRev](https://devrev.ai/meet-computer) lets the agent follow a case into the systems behind it. That’s Work Softer: fewer handoffs, clearer answers. > > To see it on a case of your own, [request a scoped demo](https://devrev.ai/request-a-demo?utm_source=blog&utm_medium=cta&utm_campaign=sierra-alternatives&utm_content=close) with one escalated ticket in mind. ## FAQ ### What is the best Sierra alternative in 2027? The best Sierra alternative depends on where your support lives. Zendesk AI agents suit Zendesk teams, Agentforce suits Salesforce teams, and Fin suits chat-first support. Computer, by DevRev, suits self-service that has to reach logs, orders, and product data. ### Who are Sierra’s biggest competitors? For enterprise customer service agents, Sierra competes with Decagon, Ada, Intercom Fin, Zendesk AI agents, Salesforce Agentforce, Cognigy, and Kore.ai. Voice-first platforms such as PolyAI and Replicant overlap on phone support, and Computer, by DevRev, takes a different route by drafting its agent from your support history and sharing Computer Memory with product and engineering. ### Which alternatives hand cases to people with context? Zendesk, Salesforce, Fin, and Kore.ai each describe handoffs that carry customer context. Ada passes relevant context, Cognigy hands off with shared memory, and Computer, by DevRev, summarizes the case and escalates to a person when needed, with approval before a sensitive action. ### Can I keep my helpdesk or CRM and switch agents? You can often keep your helpdesk or CRM and switch agents. Fin works with Salesforce, Zendesk, HubSpot, and Freshdesk, and Ada documents handoffs for Zendesk and Salesforce. Computer, by DevRev, runs beside them through Computer AirSync, a two-way sync. ### How is Computer, by DevRev, different from Sierra? Sierra runs one agent across chat, SMS, WhatsApp, email, voice, and ChatGPT. Computer, by DevRev, drafts its Customer Agent from your support history and shares Computer Memory with product and engineering, so the agent can read logs and orders. ### Which alternatives support voice? Decagon, Ada, Zendesk, Salesforce, Cognigy, Kore.ai, and Fin list voice channels. Computer, by DevRev, offers Voice AI on Customer Agent, which DevRev says supports up to 70 languages, with every call logged, summarized, and recorded with consent. ### What security credentials does Computer, by DevRev, list? DevRev’s Trust Center lists SOC 2 Type 2 and ISO/IEC 27001:2022, plus an AI penetration testing assessment.