Cresta is live · custom pricing · last verified 22 Oct 2026 · viability healthy
Cresta
Enterprise AI operating system for contact centers: autonomous AI agents, live agent assist and conversation intelligence on one platform.
Cresta's 2026 releases are the ones a contact-center engineering team actually asks about: Mocking API tests, live-traffic A/B testing, environment-scoped secrets, traffic splits and rollback. That is agent lifecycle tooling that generic bot builders skip, and it pairs with the older core — AI Agent, Agentic Assist, Conversation Intelligence and QA — that United Airlines, Cox Communications and Aqua Finance are cited for. Compare it against NICE CXone's native AI add-on and Salesforce Agentforce if you already own those stacks. Plan for an implementation project with IT and ops owners, not a weekend trial, and prove value on agent quality and auditability before cost-to-serve.
Verdict generatedVerified 8d ago · liveness 78/100 · cite: rightaichoice.com/tools/cresta
- Large contact centers in regulated sectors — financial services, insurance, healthcare, airlines, telecom
- Enterprises cutting cost-to-serve without dropping CSAT or agent retention
- Collections and retention teams balancing compliance risk with AI support
- Multi-vendor contact center stacks wanting one AI layer across Genesys, Five9 or NICE CXone
- Teams that need something live in days with no implementation project
- Organizations without IT or ops capacity to own an agent lifecycle
- Very small support teams without the conversation volume to justify an enterprise deployment
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Skip Cresta if you want an AI layer you can switch on without a project owner — Conductor, environments, deployments and evaluator review all need a named person running them week to week.
Cresta sells as an enterprise deployment, so evaluate it against other enterprise-tier contact-center AI (NICE CXone, Genesys Cloud AI, Salesforce Agentforce) rather than against per-seat add-ons. The cost that actually varies is implementation and ongoing ops ownership — Conductor, environments and evaluator review are people, not licenses. Model it as a platform line plus a staffing line, not a per-agent fee.
In short
Cresta — Enterprise AI operating system for contact centers: autonomous AI agents, live agent assist and conversation intelligence on one platform. Best for Large contact centers in regulated sectors — financial services, insurance, healthcare, airlines, telecom, Enterprises cutting cost-to-serve without dropping CSAT or agent retention, Collections and retention teams balancing compliance risk with AI support. Pricing is on request (custom quotes).
What is Cresta?
Cresta — Enterprise AI operating system for contact centers: autonomous AI agents, live agent assist and conversation intelligence on one platform. Best for Large contact centers in regulated sectors — financial services, insurance, healthcare, airlines, telecom, Enterprises cutting cost-to-serve without dropping CSAT or agent retention, Collections and retention teams balancing compliance risk with AI support. Pricing is on request (custom quotes).
Cresta is an enterprise AI platform for contact centers that runs AI agents and human agents off the same conversation record. The AI Agent handles multi-step transactions end to end; Deputy Agent takes on long-running work that spans hours or days — the site's own example is a hospital-bill financial-assistance request where Deputy tracks proof-of-income upload and texts the patient the approval the next morning. On live calls, Agentic Assist gives reps generative guidance while Knowledge Agent retrieves grounded policy and product answers, and Summary Agent writes the wrap-up. After the call, Conversation Intelligence takes over: Insights with Advanced Topic Discovery clusters why customers call, AI Analyst builds agentic reports, and Quality Management, Coach and Training Simulator handle QA and ramp. The 2026 release cadence targets engineering and governance rather than demos: Conductor (a local no-code environment for building and testing prompts, tools and orchestration), Mocking API (turn captured API invocations into mock rules grouped into attachable test scenarios), Environments and Deployments (shared variables and secrets, revision selection, traffic splits and rollback), live-traffic A/B testing across prompts, function tools and knowledge bases, and batch post-call translation from 30+ languages into English for cross-language QA. The buyer is a large support, sales, retention or collections operation in a regulated sector where audit trail matters as much as CSAT. Cresta layers over your CCaaS rather than replacing it.
Key features
- AI Agent: autonomously handles multi-step conversations like bill disputes, card replacement and claim filing
- Deputy Agent: long-running agent that automates work from intent to completion across channels
- Agentic Assist: real-time generative guidance and answers during live human conversations
- Knowledge Agent: grounded policy and product answers retrieved mid-call
- Behavioral Guidance: reinforces top-performer behaviors in live conversations
- Summary Agent: automated call wrap-ups and after-contact notes
- Conversation Intelligence with Insights and Advanced Topic Discovery
- AI Analyst: agentic reporting over conversation data
- Conductor: local no-code environment for building and testing prompts, tools and orchestration
- Mocking API: promote captured API invocations into mock rules and attachable test scenarios
- Environments and Deployments: shared variables and secrets, revision selection, traffic splits and rollback
- A/B testing for AI Agent and subAgent prompts, function tools and knowledge bases on live traffic
- Synthetic Customers: simulated personas built from real conversations for pre-launch testing
- Batch post-call translation from 30+ languages into English for cross-language QA
- Quality Management, Coach and Training Simulator for QA and agent ramp
Behind the verdict
Cresta's pitch has shifted from 'real-time agent coaching' to 'AI operating system for CX', and the product list backs that up. Three layers are doing different jobs. First, automation: AI Agent for conversational work, Deputy Agent for long-running tasks that cross channels and days — the homepage walkthrough (secure upload link by email, upload that evening, SMS approval the next morning) is exactly the kind of multi-step claim that fails in thin bot builders because nothing persists between turns. Second, assist: Agentic Assist, Knowledge Agent, Guidance, Behavioral Guidance and Summary Agent sit on live calls alongside a human rep. Third, intelligence and QA: Insights, Advanced Topic Discovery, AI Analyst, Quality Management, Coach and Training Simulator. The differentiator in 2026 is the build/test/deploy surface. Conductor lets builders work on prompts, tools and orchestration in a local no-code interface against their own conversation data. Mocking API solves a real pain — third-party APIs that are slow, rate-limited or impossible to force into failure states — by letting you promote a captured invocation into a mock rule and group rules into a scenario you attach to a test case. Environments and Deployments add shared variables and secrets, revision selection, traffic splits and rollback. Synthetic Customers generate simulated personas from real conversations for pre-launch testing. This is the tooling an engineering owner needs before letting an AI agent touch billing or claims, and it is the part competitors undersell. Where to be careful. The platform is a layer over your CCaaS — Genesys, Five9, NICE CXone, Talkdesk, Twilio Flex, Avaya, Cisco — so its ceiling depends on what those systems expose for events, transfers and data. It is an enterprise program, not a signup: you will configure agent testing, scorecards, performance permissions, environments and integrations, and someone must own the agent lifecycle after go-live. Cresta itself notes that evaluators auto-generated from AI Feedback should be reviewed and validated before use, and the 2026 scorecard publish controls and restricted editors imply an admin review workflow you have to staff — human review does not disappear, it moves upstream. Vertical depth is strongest in airlines, financial services, insurance, telecom, retail and home services; a small support team without the conversation volume or the ops capacity to run the lifecycle will not get the value out. The honest comparison set: NICE CXone and Genesys Cloud bundle their own AI into the contact-center contract, which is simpler to buy and weaker on cross-vendor agent lifecycle tooling; Salesforce Agentforce fits shops already deep in Salesforce data; Observe.AI and similar conversation-intelligence vendors compete on the post-call analytics half but not on the autonomous-agent half. Cresta's bet is that large regulated operations want one AI layer across a multi-vendor stack, with test, deploy and rollback
Models under the hood
as of 2026-10-22
Limitations
- Cresta is an enterprise AI platform that layers over your existing contact center, so its ceiling depends on what those systems expose for events, transfers and data.
- Deployments are programs, not signups: you will configure AI Agent testing, scorecards, performance permissions, environments and integrations, and someone has to own the agent lifecycle after go-live.
- The 2026 QA features — scorecard publish controls and restricted editors — are useful but imply an admin review workflow you must staff.
- Cresta notes that evaluators auto-generated from AI Feedback should be reviewed and validated before use, so human review does not disappear; it moves upstream.
- Real-time accuracy and language support vary by use case and integration.
- Vertical depth is strongest in airlines, financial services, insurance, telecom, retail and home services.
as of 2026-10-22
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Is Cresta still active?
Cresta is live · custom pricing · last verified 22 Oct 2026 · viability healthy.
Viability score
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
Last calculated: October 2026
How we score →What's new in Cresta
Checked 8 days agoAcross the latest 5 updates: 5 feature updates.
New environments and deployments tabs
AI Agent adds Environments for shared variables and secrets plus Deployments for attaching an agent to an environment with revision selection, traffic splits and rollback.
Mocking API
Test AI Agents against predictable mocked responses instead of live third-party APIs by promoting captured API invocations into mock rules grouped into attachable test scenarios.
Conductor (for developers)
Build, test and optimize AI agents — prompts, tools and orchestration — from a local no-code interface guided by Cresta best practices and your conversation data.
Batch post-call translation
Automatically translate post-call conversations from 30+ languages into English in bulk for cross-language QA and reporting.
AI Agent A/B testing on live traffic
A/B testing for AI Agent and subAgent prompts, function tools and knowledge bases, run against real user traffic rather than offline test sets.
What do users say about Cresta?
What people actually say about Cresta — is it worth it?
We scanned public community sources for Cresta on Oct 9, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Only 0 of the posts we fetched could be positively tied to Cresta. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
How we verified this
Every listed fact about Cresta— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 22 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified Cresta 22 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.
- — changed SSL certificate
- — changed switching in, limitations, integrations, description, switching out, pricing fit, our verdict, who it suits, pricing tiers, features, use cases, who should skip it, hidden costs, summary, setup time
- — changed description, who it suits, features, summary, our verdict, who should skip it, pricing tiers
- — changed pricing page
- — changed our verdict, who it suits, description, features, who should skip it, pricing tiers, summary
- — changed pricing page
Showing the 6 most recent of 22 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Cresta cost in 2026?
Cresta: Pricing is on request (custom quotes). Pricing last verified 22 Oct 2026.
Plans compared
Every published Cresta tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Enterprise | Custom | quote | Large regulated contact centers — airlines, financial services, insurance, telecom, retail — with a multi-vendor CCaaS stack and IT/ops capacity to own an agent lifecycleAdds: Starting (and only published) tier: the full platform — AI Agent, Deputy Agent, Agentic Assist, Conversation Intelligence, QA suite and the Conductor/Deployments tooling — priced per deployment |
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
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 sells as an enterprise deployment, so evaluate it against other enterprise-tier contact-center AI (NICE CXone, Genesys Cloud AI, Salesforce Agentforce) rather than against per-seat add-ons. The cost that actually varies is implementation and ongoing ops ownership — Conductor, environments and evaluator review are people, not licenses. Model it as a platform line plus a staffing line, not a per-agent fee.
Has Cresta's pricing changed?
No plan price for Cresta has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Cresta?
Pick Cresta if you are Large contact centers in regulated sectors — financial services, insurance, healthcare, airlines, telecom, Enterprises cutting cost-to-serve without dropping CSAT or agent retention, Collections and retention teams balancing compliance risk with AI support, Multi-vendor contact center stacks wanting one AI layer across Genesys, Five9 or NICE CXone.
Look elsewhere if you are Teams that need something live in days with no implementation project, Organizations without IT or ops capacity to own an agent lifecycle, Very small support teams without the conversation volume to justify an enterprise deployment.
Skip it if Skip Cresta if you want an AI layer you can switch on without a project owner — Conductor, environments, deployments and evaluator review all need a named person running them week to week.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Cresta actually fits — and what changes day-one when you adopt it.
You already run Genesys and want AI on the highest-volume intents without replacing the CCaaS. Cresta's AI Agent goes live on a subset of billing and password intents first, with Mocking API scenarios standing in for the slow billing API so failure paths get tested before launch.
Outcome: AI Agent handles the routine intents while Deployments traffic splits and rollback keep the blast radius small if a prompt revision regresses.
Your agents call third-party APIs that are rate-limited and hard to force into error states. You register the endpoint in Mocking API, promote captured invocations into mock rules, and attach the scenario to a test case in Conductor before promoting to an environment with shared secrets.
Outcome: Every agent run exercises the same conditions, including failure paths, and deployments carry revision selection and rollback instead of ad-hoc prompt edits.
You need 100% coverage on regulated calls instead of sampling. Quality Management auto-scores every interaction, Advanced Topic Discovery clusters the reasons customers call, and batch post-call translation brings 30+ language conversations into English for the same review queue.
Outcome: Coverage goes from a sample to the full population, and cross-language calls stop falling outside your QA and compliance review.
Use cases
- Whisper next-best actions to reps during inbound sales calls to lift conversion
- Auto-score 100% of service calls for QA instead of sampling a handful
- Surface grounded knowledge-base answers mid-call instead of reps searching wikis
- Detect compliance-risk language in regulated lending or insurance conversations in real time
- Run autonomous AI agents on password resets or billing inquiries end to end
- Translate post-call conversations from 30+ languages into English in bulk for cross-language QA
- Validate agent prompts and function tools with Mocking API scenarios and live-traffic A/B tests before wider rollout
- Give receiving agents an automatic handoff summary on cold transfers
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.
Expect an implementation project, not a trial: integration with your CCaaS and CRM, agent testing setup, scorecard and permission configuration, and environment/secret setup come first. Engineering-owned work in Conductor and Mocking API can start early; Deputy Agent and AI Agent expansion follow once evaluators are validated. Budget weeks to first value and a named owner after go-live.
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.
- →From NICE CXone native AI: keep CXone as the CCaaS and layer Cresta's AI Agent and Conversation Intelligence on top via the documented connector
- →From Genesys Cloud AI: run Cresta in parallel on a subset of queues, compare quality scores, then expand through Deployments traffic splits
- →From manual QA sampling: stand up Quality Management scorecards and Advanced Topic Discovery before retiring sampled review
- ↗To NICE CXone or Genesys Cloud native AI: expect to rebuild scorecards, evaluators and agent prompts inside the CCaaS, and to lose the Conductor/Deployments lifecycle tooling
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.
Official links
What are the best Cresta alternatives?
The closest alternatives to Cresta we list are Genesys Cloud AI, Parloa and Pylon. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Genesys Cloud AI | Paid | Pricing not published | — |
| Parloa | Contact Sales | Custom pricing | — |
| Pylon | Paid | Pricing not published | — |
Alternatives to Cresta
View all
Genesys Cloud AI
Genesys Cloud CX runs AI virtual agents, agent copilots, and predictive routing inside one enterprise contact-center platform.
Tools that pair well with Cresta
Common stack mates teams adopt alongside Cresta, with the specific reason each pairing earns its keep.
Genesys Cloud AI
Genesys Cloud CX runs AI virtual agents, agent copilots, and predictive routing inside one enterprise contact-center platform.
Parloa
Parloa builds enterprise AI voice and chat agents for regulated contact centers, priced per minute or interaction.
Pylon
Agentic B2B support platform where AI agents investigate, resolve, and act on every customer signal across Slack, Teams, email, chat, and
Cresta vs its closest rival
Cresta's closest head-to-head is with Decagon.
Our Cresta vs Decagon verdict written May 12, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
Head-to-head comparisons
Frequently asked questions
Best-of guides
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