The top 7 Decagon alternatives in 2026

If you want AI agents that resolve customer support conversations on their own with behavior your CX team can write in plain language, you'll likely evaluate Decagon.

Teams that choose Decagon tend to value its Agent Operating Procedures (AOPs), which turn plain-language instructions into agent workflows. They also value the Decagon team's responsive support and fast feature delivery.

That said, Decagon centers on AI agents, so it may not offer the guidance and coaching human agents need when taking escalations. It's also a relatively new platform (founded in late 2023), so it may lack the enterprise controls your security and compliance teams require.

To help you assess Decagon, we’ve compared it to its top competitors below.

Note: This guide was updated on 10/19/2026. The information on this page can change in the future.

How we evaluated Decagon alternatives

This comparison draws on third-party review sites like G2 and Gartner® Peer Insights, vendor documentation, and our conversations with prospects and customers who've used or evaluated these platforms. 

Each Decagon alternative was scored against six criteria:

• Ownership after launch: someone has to update agent behavior as policies change, whether that's your CX team, your engineers, or the vendor
• Voice performance: complex issues still arrive by phone, so latency, interruption handling, and turn-taking decide whether callers stay with the agent
• Human handoff and continuity: escalations carry the most risk, so context and guidance that stop at the transfer leave agents alone at the hardest moment
• Quality management across AI and human agents: without shared scoring, you can't catch AI errors or compare AI agents with people on the same standard
• Governance and auditability: regulated teams need to trace AI decisions back to sources and prove compliance to auditors
• Deployment and integration fit: your CCaaS, CRM, cloud, and data residency requirements decide which platforms you can run at all

Here are the top Decagon alternatives scored against the criteria above.

The best Decagon alternatives

Here's a closer look at each Decagon alternative.

1. Cresta

Cresta is the AI operating system for CX. It offers a unified platform for human and AI agents that analyzes, automates, and augments customer conversations.

Highlights

• Cresta AI Agent and Agentic Assist share one conversation record and models are fine-tuned on your own conversations, so context carries across AI-to-human handoffs
• Conversation Intelligence scores 100% of AI and human conversations, so you can benchmark AI agents against people and spot coaching needs
• Deputy Agent is a long-running agent that keeps goals and context across systems and teams. It finishes operational work across CRM, case management, payments, and back-office systems, with people approving key steps
• Forrester named Cresta a Leader in The Forrester Wave™: Conversation Intelligence Solutions For Contact Centers, Q2 2025
• Cresta's customer stories span travel, financial services, telecom, and home services and include significant ROI outcomes. For example, Propel Holdings, a fintech lender, reached a 58% chat containment rate with Cresta AI Agent

Why choose Cresta over Decagon

Cresta puts AI agents and human agents on one platform, so both learn from the same conversations and work carries through to resolution. Decagon Assist, relaunched in 2026, only triggers on existing AI-agent workflows, is built for Zendesk specifically, and has no tie to coaching or quality management.

Learn why Cresta is the strongest alternative

See how Cresta can support your AI and human agents.

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2. Sierra

Sierra builds autonomous AI agents for customer service and deploys them with its own forward-deployed engineers.

Highlights

• Sierra's forward-deployed engineers build and fine-tune agents with each customer, so brands can launch without heavy internal engineering
• Agents run across chat and voice, and Voice Sims tests voice agents on simulated calls before launch, which matters if you want one vendor for both channels
• Named a Strong Performer in The Forrester Wave™: Conversational AI Platforms For Customer Service, Q2 2026
• Users really appreciate Sierra’s integrations with CRMs and help desk tools. For example, the G2 reviewer below says the integrations help them maintain brand-aligned communications with customers

Why choose Sierra over Decagon

Sierra's forward-deployed engineers can design, build, and tune agents with your team, so you don't need in-house capacity to launch. Decagon's AOPs turn plain-language procedures into code your IT team maintains, so ongoing changes depend on your own resources.

Related: The top Sierra AI alternatives

3. Fin

Fin is an AI agent for customer service, formerly from Intercom and now part of Salesforce after Salesforce completed its acquisition of Fin in September 2026.

Highlights

• Salesforce states that Fin averages a 76% resolution rate and serves more than 30,000 companies, so it's worth a look if deflection volume is your main goal

• Fin works with the help desks and systems teams already use, and it sits alongside Agentforce in Salesforce's customer service portfolio
• Named a Strong Performer, as Intercom, in The Forrester Wave™: Conversational AI Platforms For Customer Service, Q2 2026
• Users also validate Fin's query resolution often. Here’s what one said on G2: Danielle H. wrote: "Fin can answer and deflect questions our support team has traditionally spent time answering"

Why choose Fin over Decagon

Fin now ships inside Salesforce's own customer service portfolio and works with the help desks teams already use. Decagon connects to CRMs and help desks as a separate platform, so Salesforce shops add another vendor to manage.

Related: Compare Fin AI alternatives

4. Kore.ai

Kore.ai provides an enterprise AI agent platform with pre-built templates for industries like banking, healthcare, and retail.

Highlights

• Its low-code platform and pre-built industry solutions let’s teams avoid starting every workflow from scratch
• Blends first-party LLMs and SLMs with governance features, which helps teams control which models handle which tasks
• Named a Leader in the 2026 Gartner® Magic Quadrant™ for Conversational AI Platforms and in The Forrester Wave™: Conversational AI Platforms For Customer Service, Q2 2026
• Users often cite that the platform is straightforward and intuitive to use. Here’s a good example from a recent review on G2:

Why choose Kore.ai over Decagon

When you want Leader placements from both Gartner and Forrester to benchmark against. Decagon wasn't included in The Forrester Wave™: Conversational AI Platforms For Customer Service, Q2 2026, so there's less independent analyst evidence to compare.

Related: Explore Kore.ai alternatives

5. NiCE Cognigy

NiCE Cognigy provides a low-code platform for voice and chat AI agents and is now sold as part of NiCE.

Highlights

• A low-code visual builder lets non-technical teams design and change flows without much IT help
• As part of NiCE, it's positioned to bring AI across NICE's CCaaS and workforce management products, which helps if you already run NICE CXone
• Named a Leader in The Forrester Wave™: Conversational AI Platforms For Customer Service, Q2 2026, and a Visionary in the 2026 Gartner® Magic Quadrant™ for Conversational AI Platforms
• Users value how quickly agents come together. Here’s a snapshot of what one user said on Gartner® Peer Insights 

Why choose NiCE Cognigy over Decagon

NiCE Cognigy lets you build AI agents inside the NICE ecosystem (which includes its CCaaS and workforce management tools). Decagon connects to CCaaS platforms as a separate layer, so it doesn't come with NICE's native workforce tooling.

Related: The leading Cognigy alternatives

6. Google (CCAI and Gemini Enterprise for CX)

Google Contact Center AI (CCAI) provides conversational AI within Google Cloud, including Dialogflow virtual agents, agent assist, and conversation analytics.

Highlights

• In January 2026, Google Cloud launched Gemini Enterprise for Customer Experience, an agentic solution that brings shopping and customer service together
• Virtual agents, agent assist, and analytics are separate components, so teams pick only what they need
• Named a Leader in the 2026 Gartner® Magic Quadrant™ for Conversational AI Platforms

Why choose Google over Decagon

Google lets engineering teams assemble virtual agents, agent assist, and analytics as separate components on Google Cloud. Decagon is a separate packaged platform rather than a set of Google Cloud services, so it sits outside your Google Cloud stack.

7. PolyAI

PolyAI builds voice-first AI agents for enterprise contact centers, designed for natural, non-linear phone conversations.

Highlights

• Agents run on PolyAI's proprietary voice technology, so they're tuned for phone conversations rather than generic chat
• Builder options range from pro-code to GenAI-assisted tools, so both developers and business teams can shape agents
• Included in the 2026 Gartner® Magic Quadrant™ for Conversational AI Platforms
• Users often say that PolyAI enables them to provide users with shorter waits. One user made that claim within the headline of their review on Gartner® Peer Insights

Why choose PolyAI over Decagon

PolyAI was built natively on voice, so its agents are tuned for natural, non-linear phone conversations. Decagon launched voice agents in 2025, less than two years after its founding, so voice came later in its roadmap and may not be as developed.

Related: The best PolyAI alternatives

Final thoughts

Decagon gives CX teams a fast way to launch AI agents and shape their behavior in plain language through AOPs. That said, the platform largely centers on AI agents, so it may not offer the guidance and scoring human agents need when they handle escalations. Its feature set and customization options may also be narrower than what your enterprise team requires.

Start evaluating Decagon alternatives when human agents still handle your most complex conversations and you need to coach and score them alongside AI. The same applies when most of your volume runs over the phone, or when data residency rules call for on-premises deployment.