7 Best Cresta Alternatives for Enterprise AI Agents (2026)

Cresta offers AI for contact centers and customer operations, with Agent Assist that guides human representatives during live calls. Because these agents listen to live customer phone calls or read active chat messages, they provide instant assistance as the human representatives work.

Enterprises compare Cresta competitors on how much of each conversation the AI handles alone and on price, since Cresta publishes no rates. Exploring Cresta alternatives means thinking beyond tools that do the same job as Cresta: running conversations with your customers. Some Cresta alternatives add conversations with your employees, while others may place outbound calls to customers, such as payment reminders.

HappyRobot is an AI agent platform for enterprise operations and a top Cresta AI alternative because its AI agents can autonomously handle entire phone calls and update backend systems without a human representative on the line.

We’ve ranked seven best Cresta alternatives for AI agents based on how much of the work each agent completes on its own.

What Is Cresta AI, and Why Do Enterprises Look for Alternatives?

Cresta is a contact-center AI platform used across financial services, telecom, insurance, and travel. The Cresta AI Agent answers customers on voice and digital channels without a representative.

Agent Assist listens to a representative's live call and puts the knowledge answer and the next step on screen while the customer is speaking. Aqua Finance used Agent Assist to raise dollars collected per hour by 61%. Once the call ends, Quality Management checks that conversation, and every other call your team handles, for compliance.

Enterprises look for Cresta alternatives for three reasons:

• Product focus: Cresta's products improve the work of human representatives, making them useful for teams that need AI to resolve large parts of conversations without a representative.
• Pricing: Cresta has no published pricing, so a finance team can't estimate the cost before a sales call.
• Scope: Cresta customer stories present use cases around collections and sales which involve conversation with a customer. Operations work, such as confirming a load with a carrier, isn't part of it.

What Should You Look for in a Cresta Alternative?

When you’re exploring Cresta alternatives, ask these questions and see whether the live demo answers them.

• Who does the agent call?
  Of the six other tools compared here, four tools present conversations with customers only. For AI agents for operations, ask which parties outside your customer base the agent can call.
• Where does the result go?
  Let the vendor name each system its agent writes to and show an update to a system with no API.
• What happens after a failure in production?
  Find out the percentage of live calls the vendor scores automatically, and whether each fixed failure becomes a test for later releases.
• Who builds the first workflow?
  Confirm whether your team or the vendor's engineers build it, and how many weeks it took named customers to reach production.
• Can your CFO forecast the bill?
  Only NICE publishes list prices. Ask the other six for the billing unit, such as a conversation or a seat, and how the bill changes with call volume.

The Best Cresta Alternatives for Enterprise in 2026

The table shows the seven best Cresta alternatives evaluated on four points: the buyer each one fits, who its agents talk to, how it tests agents before launch, and how it prices.

Now that we have top Cresta alternatives, knowing each in detail helps you choose the right option for your business.

1. HappyRobot: Alternative for outbound operational that Cresta isn't built for

HappyRobot deploys AI workers for enterprise operations, and each AI worker finishes its task inside the systems your team already runs.

What HappyRobot does

HappyRobot AI workers can move from a phone call to an email to a text message without losing case context in a single workflow. Each workflow combines deterministic logic for steps that must run the same way every time, such as a routing rule, with agentic reasoning for parts of a conversation no script can predict.

At DHL, one deployment runs more than 10 live use cases across three divisions. AI workers call shipment recipients about outstanding customs duties and collect payment commitments. The same deployment follows up on unpaid freight invoices for finance and calls new hires to confirm onboarding attendance for HR.

What HappyRobot handles that Cresta does not

Cresta maintains conversations with a company's customers, where its AI agents are programmed to answer those customers. The Agent Assist and Quality Management support the representatives who handle the other calls.

In contrast, HappyRobot AI workers are programmed to run operational work, including calls to parties who are not customers, and record each outcome in the system the operations team runs.

For example, at Kuehne+Nagel, AI workers run outbound carrier communications in five languages, complete more than 10,000 status checks and handle 78% of connected calls end to end.

Architecture and integration depth

HappyRobot lists more than 200 native integrations, including McLeod, Turvo, and Alvys for freight operations and Salesforce for customer records.

The architecture remains this way:

• Workflow logic: One workflow can mix fixed rules with AI reasoning. Fixed rules cover steps that must give the same result every time, such as routing a call.
• Model choice: You assign a different AI model to each workflow step. If one model provider goes down, the workflow switches to another.
• Hosting: HappyRobot runs on its managed cloud, in a dedicated tenant, or inside your own VPC.

Observability and quality control

HappyRobot tests each AI worker before launch and keeps grading it once it takes live calls.

• Adversarial agents: Before launch, AI-built mock callers try to break the AI worker in a sandbox through adversarial agents that attempt prompt injection or ask for another customer's data.
• Northstars: These are HappyRobot's written rules for correct behavior; test and sampled live sessions are graded against them in Northstars, which may pass or fail and suggest a fix.
• Tool-call tests: Each test checks what the AI worker said and which system action it took, separately. A correct reply with the wrong system update still fails.
• Production audits: You choose what share of live sessions to audit, from 1% to 100%, and can audit high-risk workflows more closely.
• Regression tests: Every fixed failure becomes a test that each new release must pass.

Deployment model

Forward Deployed Engineers build and test the first workflows with your team, and initial agents typically go live within 4 to 12 weeks. WWEX had six agents in production six weeks after kickoff.

Naturgy chose HappyRobot after evaluating close to 30 vendors and reached production three months after its proof of concept began. Its technical service line scored 9.4 out of 10 in customer satisfaction in the first weeks.

Who is it best for

HappyRobot is best for enterprises in utilities, logistics, airlines, insurance, manufacturing, retail, and telecom. It serves teams that want AI workers to complete calls and follow-up tasks across operations, finance, HR, and customer service.

• Choose HappyRobot if your AI agent needs to call carriers, suppliers, employees, and customers, and your COO or CFO owns the business case.
• Choose another alternative if you need to score your representatives' calls. Cresta and Level AI both sell products built for that job.

Which calls does your team still make manually?
Book a HappyRobot demo to scope the first one your AI workers will take over.

2. Decagon: Alternative for autonomous customer support

Decagon builds AI agents that resolve customer conversations on chat, email, SMS, and voice. CX teams write each agent's workflow in natural language as Agent Operating Procedures (AOPs).

Since March 2026, the agents have also placed outbound calls to customers. Decagon's published results are support metrics, such as a 95% cost reduction at ClassPass.

Where it wins over Cresta

Decagon clearly wins over Cresta when it comes to who can change the agent, because CX teams can edit its workflows themselves in plain language. Cresta describes Conductor, its natural-language agent builder, as developer-first.

Moreover, Decagon Voice supports 70+ languages with automatic detection and switching, while Cresta AI Agent lists 30+ languages.

Where It Falls Short

Decagon falls short of Cresta when it comes to coaching and training human agents. Cresta sells Coach and a Training Simulator for that work, while Decagon's tools for human agents cover live call guidance (Decagon Assist) and QA review (Watchtower). Decagon's outbound calls also go only to customers, while HappyRobot's AI workers call carriers and employees as well.

Best for: CX teams at consumer brands that want an agent to resolve conversations end to end and want to change its behavior without an engineering sprint.

3. Sierra: Alternative for outbound customer calls and payments

Sierra builds AI agents that handle customer conversations on chat, SMS, WhatsApp, email, and voice. CX teams change agent behavior in plain English in Agent Studio, while developers can build agents in code with the Agent SDK. 

Sierra charges per outcome, such as a resolved conversation or a saved cancellation. Its published results include 73% of troubleshooting cases resolved without a human agent at Singtel.

Where it wins over Cresta

Sierra has a clear edge over Cresta for outbound calls because its agents recognize voicemail and navigate phone systems to reach a representative. Cresta's AI Agent pages describe neither.

Moreover, Sierra's agents collect card and ACH payments inside the conversation on PCI DSS Level 1 infrastructure, while Cresta mentions payment flows without describing how its agent takes a payment.

Where it falls short

Sierra falls short of Cresta in scoring human agents' conversations. Cresta Quality Management scores every human and AI interaction against the same criteria, while Sierra documents quality evaluation only for its AI agent.

For systems without an API, such as supplier portals and carrier websites, HappyRobot navigates the system the way a human operator would.

Best for: Consumer brands that require one AI agent for inbound support and outbound customer calls, including payment collection, and want to pay per outcome.

4. Ada: Alternative for messaging-channel support

Ada builds AI agents that resolve customer conversations on voice, email, and messaging channels. CX teams configure each agent in Playbooks, written in plain language or uploaded from existing SOPs, and improve it by coaching the agent on past conversations.

Ada's published results include 45% of interactions resolved at Betsson, which launched in under 30 days.

Where it wins over Cresta

Ada clearly wins over Cresta on messaging channels, because one Ada agent runs on WhatsApp, SMS, Messenger, Instagram, and in-app chat. Cresta names only voice and chat for its AI Agent.

Also, Ada holds AIUC-1, a certification for AI agents that Ada earned through more than 3,400 tests, while Cresta's AI certification is ISO/IEC 42001, a standard for how a company manages AI.

Where it falls short

Ada falls short of Cresta in supporting human agents during a conversation. Cresta Agent Assist gives human agents guidance and knowledge throughout each conversation, while Ada's documentation covers human agents only as the people who receive a handoff.

Ada documents proactive outreach as web and mobile web messages, while HappyRobot's AI workers place outbound calls for work such as collections and payment follow-up.

Best for: CX teams at consumer brands that serve customers across messaging apps and want an AIUC-1 certified agent they can configure without engineers.

5. Level AI: Alternative for Agent Assist and automated QA

Level AI sells the same set of contact-center products as Cresta: automated QA, real-time agent assist, coaching, and AI virtual agents for voice and chat. Like Cresta, Level AI scores every call, chat, email, and bot conversation instead of a manual sample. Its published results include an 80% reduction in QA and coaching effort at Vistaprint.

Where it wins over Cresta

Level AI clearly wins over Cresta for healthcare contact centers because it holds HITRUST CSF certification, which Cresta's trust center does not list.

It has a virtual agent that can schedule bulk outreach and trigger callbacks when an event occurs. By contrast, Cresta's AI Agent page does not mention outbound calls.

Where it falls short

Level AI falls short of Cresta when it comes to testing changes to an AI agent. Cresta runs A/B experiments on live traffic that compare each new agent version against the current one, while Level AI's pages describe simulated conversations before launch and no live-traffic A/B tests.

HappyRobot tests each AI worker against adversarial agents before production and turns every fixed production failure into a regression test.

Best for: Contact centers that want Cresta's product set from a different vendor, including healthcare teams that require HITRUST certification.

6. Kore.ai: Alternative for customer and employee service on one platform

Kore.ai builds AI agents on its Artemis platform, where business experts write agent designs in plain language and technical teams build them in code in the same workspace. For contact centers, Kore.ai also sells agent assist and quality management for human agents. Its published results include 600,000+ conversations deflected a year at RCBC, a bank in the Philippines.

Where it wins over Cresta

Kore.ai clearly wins over Cresta for work outside the contact center because it sells AI agents for HR, IT, and recruiting, including voice screening and interview scheduling for candidates. Cresta's solutions cover sales, customer care, retention, and collections.

Moreover, Kore.ai offers on-premises and single-tenant private cloud deployment, while Cresta's pages describe cloud hosting on AWS and Google Cloud only.

Where it falls short

Kore.ai falls short of Cresta on collections. Cresta sells a dedicated collections solution for debt recovery conversations, while Kore.ai's outbound campaigns cover promotions, reminders, and follow-ups. HappyRobot's workflow builder pairs agentic reasoning with deterministic logic, so payment negotiations stay flexible while the compliance script runs word for word.

Best for: Large enterprises that want one vendor for customer service and employee service, including teams that must deploy on-premises.

7. NICE CXone: Alternative for teams that want a full contact-center suite

NICE CXone is a contact-center-as-a-service (CCaaS) platform, so NICE hosts the company's phone and digital channels and the desktop its human agents work in. NICE acquired Cognigy in September 2025 and builds its AI agents on Cognigy, while Copilot for Agents assists human agents during live conversations.

Its published results include a 94% call answer rate at Bluecrest after rolling out Copilot for Agents.

Where it wins over Cresta

NICE CXone clearly wins over Cresta for running the whole contact center because it includes call routing and workforce management alongside its AI. Cresta describes itself as "not a full CCaaS or WFM suite."

Moreover, NICE publishes per-agent pricing from $110 to $249 a month, while Cresta's pricing is custom.

Where it falls short

NICE CXone falls short of Cresta when it comes to adding AI to a contact center that runs on another platform. Moving to CXone means moving call routing and agent desktops onto NICE, while Cresta adds its AI on top of Genesys, Five9, Amazon Connect, and NICE itself. HappyRobot also works with existing telephony, including Twilio, Telnyx, and SIP lines.

Best for: Enterprises already on NICE CXone, or replacing their contact-center platform, that want AI agents and agent Assist from the same vendor.

How do these alternatives compare on the criteria that matter?

Here’s a quick summary of the comparison on the criteria that matter to enterprises before deciding on Enterprise AI Agents.

Which Cresta alternative is right for your organization?

The choice among the Cresta alternatives discussed above depends on two questions:

• Do you need the AI to resolve conversations on its own, or to guide your human representatives during live calls?
• Does your customer contact you first, or does your team contact an outside party first?

The second question separates AI agents for operations, which place outbound calls to carriers and vendors, from enterprise voice AI built for inbound support.

• Choose Decagon if the majority of your volume is inbound support requests and you want one set of written procedures to control how the AI agent behaves on every channel.
• Choose Sierra if you run a consumer brand and want to pay a fee only when the AI agent resolves a case without a human.
• Choose Ada if your support operations team will build and update the AI agent without engineering help.
• Choose Level AI if you want to keep Cresta's combination of live agent assist and automated QA but move that combination to a different vendor.
• Choose Kore.ai if your IT help desk and back-office teams also want AI agents and you want one platform to manage all of them.
• Choose NICE CXone Mpower if your contact center already runs on NICE CXone and you want the AI inside the platform you already pay for.
• Choose HappyRobot if your operations team contacts carriers and vendors to complete physical work and you need every AI worker tested against edge cases before it goes live.

Final Verdict

Level AI is the closest Cresta alternative, because it sells the same agent assist and automated QA. Decagon is the strongest pick for resolving inbound support without a human, because one set of written procedures controls its agent on every channel.

HappyRobot is the pick when your team contacts carriers and vendors, because its evaluation engine tests every AI worker against edge cases before launch, and DHL runs it in production.

Talk to HappyRobot to scope your highest-impact first deployment.