Cresta

Cresta

Cresta pairs human-centric AI agents with real-time agent assist for enterprise contact centers.

69/100MonitorCustom pricingContact Sales

Cresta is one of the few vendors selling AI augmentation as a full operating layer rather than a bolt-on bot, and the Insights upgrade with a real-time agentic AI Analyst shows the roadmap is moving toward action, not dashboards. The tradeoff is entry cost and implementation weight: this is a sales-led enterprise contract, not a weekend install. If you run a large regulated contact center and want AI that works alongside agents, shortlist it. If you need something live next week for a simple

Verified 1d ago · liveness 69/100 · cite: rightaichoice.com/tools/cresta

Best for
  • Large contact centers in regulated industries (finance, healthcare, insurance, airlines) needing compliant AI augmentation
  • Enterprises trying to cut cost-to-serve without dropping CSAT or agent retention
  • Customer care teams with complex, multi-step interactions that need real-time agent guidance
  • Collections and retention teams that want AI support while managing compliance risk
Not ideal for
  • Small businesses that just want a self-service FAQ bot for their website
  • Teams needing a live deployable solution in days with no implementation project
  • Buyers who require transparent self-serve pricing before they'll talk to sales
Visit Website

IntermediateInitial setup typically takes 4-8 weeks, depending on the number of integrations and the complexity of your contact center environment. Teams with existing telephony and CRM integrations can see initial value in 2-4 weeks, while full deployment including AI Agent and custom workflows may take 2-3 months.Web · APIAPI available5.6k viewsVerified 1d ago
Pricing
Custom pricing
Contact Sales4 hidden costs
Learning curve
Intermediate
Initial setup typically takes 4-8 weeks, depending on the number of integrations and the complexity of your contact center environment. Teams with existing telephony and CRM integrations can see initial value in 2-4 weeks, while full deployment including AI Agent and custom workflows may take 2-3 months.
Runs on
WebAPI
API available · 14 integrations
Who it's for
Contact center operations managerVP of Customer ExperienceHead of Sales Operations
Live sentiment
Is Cresta actually worth it?

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Skip it if

Skip Cresta if you run a small business or need a simple, low-cost FAQ chatbot without deep agent augmentation and enterprise-grade compliance and QA features.

The 30-second take
Biggest gripe

Pricing is sales-gated, so you won't know the cost until you talk to sales, and it likely requires a significant multi-year commitment.

Price reality

Cresta's pricing is enterprise-level, tailored for large contact centers with serious budgets. It's cost-justifiable for organizations handling millions of interactions where automation and efficiency gains offset the investment. Cheaper alternatives like Zendesk AI or Intercom Fin are more accessible for SMBs but lack Cresta's depth in regulated, agent-centric workflows.

In short

Cresta — Cresta pairs human-centric AI agents with real-time agent assist for enterprise contact centers. Best for Large contact centers in regulated industries (finance, healthcare, insurance, airlines) needing compliant AI augmentation, Enterprises trying to cut cost-to-serve without dropping CSAT or agent retention, Customer care teams with complex, multi-step interactions that need real-time agent guidance. Contact Sales pricing.

Compared withvs Decagon

What's new in Cresta

Checked 16 days ago

Across the latest 1 update: 1 feature update.

Viability Score

69/100
Monitor

How well maintained and how widely used is Cresta? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
90
Traction
not measured
Site health
95
User sentiment
not measured
What the vendor publishes
40

Last calculated: September 2026

How we score →

Key Features

  • AI Agent: autonomously handles tasks like disputing fraudulent charges and replacing lost cards
  • AI Agent Testing 2.0: validate agent behavior before it goes live
  • Synthetic Customers: simulated personas for realistic pre-launch testing
  • Agent Assist: real-time generative AI guidance during live customer conversations
  • Knowledge Agent: instant answer retrieval for agents mid-call
  • Behavioral Guidance: reinforces top-performer behaviors in live conversations
  • Typing Efficiency: reduces handle time by speeding up agent responses
  • AI Summaries: automated call wrap-ups and after-contact notes
  • Real-Time Translation: supports multilingual customer conversations
  • Conversation Intelligence: post-call analysis of CX drivers
  • Cresta Insights: authoritative topic discovery, real-time trend detection, and agentic AI Analyst
  • AI Analyst: agentic analysis of conversation data for faster CX action
  • Automation Discovery: flags workflows ready for automation
  • Coach and Quality Management: agent performance and QA automation
  • Training Simulator: practice environment for new agents

About Cresta

Contact SalesIntermediateAPI availableWeb · API

Cresta is an enterprise AI platform for contact centers that keeps human agents and AI agents on one system. It splits the work three ways: AI Agent handles routine tasks autonomously, Agent Assist guides representatives during live calls, and Conversation Intelligence mines every interaction for what actually drives customer experience. The target buyer is a large support, sales, collections, or retention operation in a regulated sector — airlines, banks, insurers, healthcare, telecom — where a bad conversation carries real cost and the compliance paperwork matters as much as the CSAT score. The AI Agent is the headline piece: it can work tasks like disputing a fraudulent charge, replacing a lost card, or shipping it to a new address, and Cresta ships Synthetic Customers plus AI Agent Testing 2.0 so teams can validate that behavior before anything reaches a live customer. On the human side, Agent Assist delivers real-time generative guidance, Knowledge Agent pulls answers mid-call, Behavioral Guidance reinforces what top performers do, and Typing Efficiency and AI Summaries cut handle time and wrap-up. Conductor is the developer environment for building and scaling agents. For managers and analysts, the newly launched Cresta Insights upgrade adds authoritative topic discovery, real-time trend detection, and an agentic AI Analyst, all aimed at turning conversation data into action instead of a weekly report. Automation Discovery flags workflows that are ready to hand off; Coach and Quality Management cover performance and QA. Real-time translation handles multilingual conversations, and a training simulator lets new hires practice before they touch a customer. Who it fits: contact centers with complex, multi-step interactions and strict oversight. Who it doesn't: a five-person team that just wants a FAQ bot on its website. Against generic chatbot builders, Cresta's pitch is augmentation with compliance and QA baked in — you're buying a layer over your existing

Behind the Verdict

We'd reach for Cresta when the problem isn't 'we need a chatbot' but 'we have hundreds of agents, regulated interactions, and a cost-per-contact number the CFO keeps asking about.' That's the scenario it was built for, and the customer list — United Airlines, Alaska Airlines, Cox, Brinks Home, Propel Holdings, CVS, Holiday Inn — tells you the scale it expects. The strongest argument for Cresta over a generic bot platform is the pairing of autonomy with oversight. AI Agent can run tasks like a card replacement or a fraud dispute, but it comes with AI Agent Testing 2.0 and Synthetic Customers so you test behavior against simulated personas before deploying. For a bank or insurer, that testing layer is often the difference between a pilot and a production rollout. Where it bites: this is a sales-led product with no public price list, so expect a procurement cycle, an implementation project, and internal IT involvement. Teams without that capacity will stall. We've also seen plenty of smaller companies buy an enterprise CX AI platform and use 10% of it, which is an expensive way to answer FAQs. On the human side, the Agent Assist features (Knowledge Agent, Behavioral Guidance, Typing Efficiency, AI Summaries) are the easiest wins — they show up in handle time and quality scores fast without changing your routing. The Insights upgrade is the more strategic bet: authoritative topic discovery plus real-time trend detection and an agentic AI Analyst means you stop waiting on someone to build the weekly deck. The closest alternatives are the incumbents already sitting in your contact center stack — NICE, Genesys, Five9 — whose AI modules win on native integration but are typically narrower per seat. Cresta's bet is depth: autonomous agents, assist, and intelligence as one

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Real-world workflow fit

Concrete scenarios for the personas Cresta actually fits — and what changes day-one when you adopt it.

Contact center operations manager

You want to improve quality assurance coverage from 2% to 100% without hiring more staff.

Outcome: Use Cresta's Quality Management to auto-score every call, identify compliance risks, and deliver targeted coaching to agents, reducing QA workload by up to 50% while improving service quality.

VP of Customer Experience

You need to reduce handle time and improve CSAT in a multilingual support center.

Outcome: Deploy Agent Assist with real-time guidance and Real-Time Translation to help agents resolve issues faster, lower average handle time, and enhance the customer experience across languages.

Head of Sales Operations

You want to replicate the behavior of your top sales representatives across the entire outbound team.

Outcome: Use Cresta's Conversation Intelligence and AI Analyst to discover winning objection-handling patterns, then implement Behavioral Guidance to coach every rep in real time, boosting conversion rates.

Use Cases

Models Under the Hood

Proprietary LLMsOpenAI models (via integration)Anthropic models (via integration)Custom fine-tuned models

as of 2026-09-15

Limitations

  • Cresta is an enterprise AI platform for contact centers, integrating with existing customer conversation systems.
  • The platform supports AI agents and agent assist features, and enables building and scaling with trust.
  • Pricing is sales-gated with no public transparency, and deployments are typically enterprise-grade requiring change management.
  • Real-time accuracy and language support may vary depending on use case and integrations.

as of 2026-08-30

Verification history

We have re-verified Cresta 20 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  2. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  3. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  4. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  5. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  6. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it

Showing the 6 most recent of 20 verification passes.

Free to cite with attribution — this page re-verifies continuously.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • Pricing is sales-gated, so you won't know the cost until you talk to sales, and it likely requires a significant multi-year commitment.
  • Implementation typically requires dedicated IT resources for integration and configuration, adding internal personnel costs.
  • Ongoing change management and training for agents and supervisors may be needed, increasing the total cost of ownership.
  • Real-time accuracy and language support may vary depending on integrations and use cases, potentially requiring custom tuning or additional configuration.

Where the pricing makes sense

The company stage and team size where Cresta's pricing actually pencils out — and where peers do it cheaper.

Cresta's pricing is enterprise-level, tailored for large contact centers with serious budgets. It's cost-justifiable for organizations handling millions of interactions where automation and efficiency gains offset the investment. Cheaper alternatives like Zendesk AI or Intercom Fin are more accessible for SMBs but lack Cresta's depth in regulated, agent-centric workflows.

Setup time & first value

How long it actually takes to get something useful out of Cresta — broken out by persona, not the marketing-page minute.

Initial setup typically takes 4-8 weeks, depending on the number of integrations and the complexity of your contact center environment. Teams with existing telephony and CRM integrations can see initial value in 2-4 weeks, while full deployment including AI Agent and custom workflows may take 2-3 months.

Switching to or from Cresta

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • From legacy QA and coaching tools: Cresta's Quality Management and Coach modules can ingest historical call recordings and QA scores to train models and provide immediate insights.
  • From legacy BI tools: Cresta Insights can connect to existing data warehouses to enrich conversation analytics with business context.
  • From manual processes: Cresta can automate transcript analysis and QA sampling, replacing manual excel-based reviews.
Migrating out
  • To a lighter-weight solution like Zendesk AI: Export call recordings and QA scores, then manually configure new automations for a smaller budget or simpler needs.
  • To an in-house solution: Cresta provides Conductor for building custom agents, but migrating fully to a custom platform requires extracting all conversation data and retraining models.

Integrations

SalesforceZendeskTwilio FlexGenesysFive9NICE CXoneTalkdeskAvayaCiscoZoho DeskIntercomAWSGoogle CloudMicrosoft Azure

Resources & Guides

Tutorials & Learning

YouTube returned 6 videos for “Cresta”, and we withheld 6: 6 could not be judged, because “Cresta” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Cresta.

Tools that pair well with Cresta

Common stack mates teams adopt alongside Cresta, with the specific reason each pairing earns its keep.

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Frequently Asked Questions

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