Cresta is built to make your human agents better. If your goal is to resolve tickets without a human in the loop at all, you are evaluating a different category - and most Cresta comparisons skip that distinction.
A Cresta alternative is a contact center AI platform that either matches Cresta's real-time agent-assist and conversation-intelligence strengths or, more often, replaces them with autonomous AI agents that resolve customer issues end-to-end across chat, email, voice, and SMS. In 2026 the leading alternatives split into two groups: agent-assist and coaching tools like Cresta, and autonomous resolution platforms that handle the ticket instead of guiding a human through it.
Cresta's core is real-time agent guidance, post-call QA, and conversation intelligence for large contact centers with significant human staffing. It was the first contact center AI provider to achieve ISO 42001 certification.
The most common reason teams shop for an alternative is a strategy shift from "assist the agent" to "resolve without the agent." Those are different products, not different price points.
Gartner predicts agentic AI will autonomously resolve 80% of common customer service issues by 2029, up from low double digits in 2024 - which is pulling budget from agent-assist toward autonomous resolution.
For regulated industries (fintech, healthcare, insurance, gaming), the deciding factor is whether the platform can prove its behavior before go-live and produce an audit trail after, not whether it can suggest a better reply to a human.
Pricing models diverge sharply: Cresta and Cognigy run platform-and-seat contracts, while Lorikeet, Decagon, Sierra, Fin, and Ada lean toward per-resolution or usage-based billing.
Last updated: June 2026
Cresta is a strong product for what it is built to do: sit beside a human agent during a live call, surface the next-best action, prompt a compliance disclosure at the right moment, and score the conversation afterward. If your contact center will keep hundreds of human reps and you want each one to perform like your best one, Cresta belongs on your shortlist. The reason most teams end up reading a list like this one is different. They are deciding whether to keep investing in making humans faster, or to move volume onto AI that resolves the ticket on its own. This roundup is honest about that fork. Some platforms below compete with Cresta head-on; most replace the premise. We rank on shipping product, real customers, regulated-grade controls, and what survives a procurement and compliance review - not on marketing claims.
What Is a Cresta Alternative?
A Cresta alternative is any contact center AI platform a team evaluates instead of Cresta, falling into two buckets. The first is direct competitors in agent assist and conversation intelligence - real-time guidance, call summaries, QA scoring, and coaching for human reps. The second, and the larger reason teams switch, is autonomous AI agents that resolve customer issues without a human in the loop, which changes the question from "how do we help our agents" to "how much volume can we take off our agents entirely."
The distinction matters because the two categories optimize for different outcomes. Agent assist optimizes handle time, consistency, and compliance adherence for a human workforce you intend to keep. Autonomous resolution optimizes deflection-free resolution rate and cost per resolved ticket, with the human reserved for genuine exceptions. A platform built for one is usually mediocre at the other. Buying an autonomous platform to do agent assist wastes its strengths; buying agent assist to do autonomous resolution leaves you with a coach and no player.
Agent assist: Software that listens to a live human-handled interaction and surfaces suggestions, knowledge, disclosures, and next-best actions in real time, plus post-interaction QA and coaching. The human still resolves the ticket.
Autonomous resolution: An AI agent that handles the interaction end-to-end - understanding intent, taking actions in connected systems, and closing the ticket - escalating to a human only on genuine exceptions.
Lorikeet is an AI customer support platform built for complex, regulated companies like fintechs, healthtechs, insurers, and gaming operators. Rather than coaching a human through a call, Lorikeet's concierge resolves multi-step tickets end-to-end across voice, chat, email, SMS, and WhatsApp, with defence-in-depth guardrails and audit trails compliance teams can sign off on before launch. It is the clearest example of the "replace the premise" category in this list.
At-a-Glance Comparison
At a glance
Platform: Lorikeet · Category: Autonomous resolution · Best For: Regulated companies needing end-to-end resolution with audit trails · Key Strength: Defence-in-depth guardrails, deterministic + NL workflows, sub-1s voice, 100% automated QA · Pricing: Per resolution (~$0.80–$0.95 chat/email/SMS, ~$1.20–$1.50 voice)
Platform: Decagon · Category: Autonomous resolution · Best For: Enterprises with large support budgets and engineering to invest · Key Strength: Voice + chat + email, white-glove deployment · Pricing: Per conversation/resolution, custom
Platform: Sierra · Category: Autonomous resolution · Best For: Enterprises wanting outcome-only billing · Key Strength: Outcome-based pricing, strong enterprise brand · Pricing: Outcome-based, custom
Platform: Cognigy · Category: Conversational AI + voice automation · Best For: Large contact centers wanting an IVR-replacement and orchestration layer · Key Strength: Enterprise voice/IVR, broad telephony integrations · Pricing: Platform + usage, custom
Platform: Kore.ai · Category: Conversational AI platform · Best For: Enterprises wanting a build-it-yourself bot and agent platform · Key Strength: Breadth of tooling, model flexibility, large-enterprise footprint · Pricing: Platform + usage, custom
Platform: Fin by Intercom · Category: Autonomous resolution · Best For: Teams on or near Intercom wanting drop-in AI · Key Strength: Low published per-resolution price, fast setup · Pricing: $0.99 per resolution + helpdesk seat
Platform: Ada · Category: Autonomous resolution · Best For: Mid-market teams with high chat volume · Key Strength: Established vendor, multi-channel breadth · Pricing: Annual contract, custom (median ~$70K)
The 7 Best Cresta Alternatives in 2026
1. Lorikeet
Lorikeet is the AI customer support platform built for complex, regulated businesses. Where Cresta makes a human agent better on a live call, Lorikeet resolves the ticket end-to-end across voice, chat, email, SMS, and WhatsApp, then provides the audit trail and QA evidence a compliance team needs. It is the strongest fit on this list for teams whose tickets involve real money, regulated actions, or health and identity data, and whose toughest internal stakeholder is the compliance lead, not the support ops manager.
Key Features
End-to-end resolution: Lorikeet's concierge understands intent, executes multi-step actions in connected systems (look up an account, run a check, update a record, send a confirmation), and closes the ticket, escalating only on genuine exceptions.
Defence in depth: pre-launch adversarial simulations and red-teaming, inbound message checks, outbound guardrails, and 100% post-facto automated QA - so behavior is provable before go-live, not hoped for after.
Deterministic and natural-language workflows combinable in a single interaction, all configured in plain English.
Native voice with sub-1-second latency, multilingual with automatic language switching, on the same workflow engine as chat and email.
Coach: an analytics and 100% automated QA agent, deployable standalone at about $0.25–$0.30 per ticket, for root-cause analysis, ticket quality scoring, and resolution verification - the AI evaluating the AI. This is the part of Lorikeet that overlaps most directly with Cresta's QA strengths.
Regulated-grade posture: SOC 2, BAA-ready for HIPAA, GDPR-aligned, PII redaction, RBAC, data residency in the US, AU, and UK, with contractual no-train agreements with model providers.
Ideal For
Fintechs, healthtechs, insurers, and gaming operators that need to resolve regulated, multi-step tickets autonomously and prove every action. Lorikeet's customers are roughly 80% US financial institutions and fintechs. Anonymized proof points from its base include a regulated fintech reaching around 85% automation with equal-or-better CSAT, and cross-border payments teams reporting retention lifts on AI-handled tickets versus human-handled ones. If your strategy is to keep a large human floor and make each rep faster, Cresta or an agent-assist tool may fit better than Lorikeet.
Pricing
Per-resolution: about $0.80–$0.95 per chat, email, or SMS resolution and about $1.20–$1.50 per voice resolution, with Coach around $0.25–$0.30 per ticket. The customer defines what counts as a resolution and escalations are not charged. For ROI context, human-handled tickets typically cost about $1.25 to $4 each.
Limitation
Lorikeet is deliberately not an agent-assist or live-coaching product for a human workforce. If your primary goal is real-time whisper guidance and scorecards for hundreds of human reps you intend to keep, that is Cresta's home turf, and Lorikeet's Coach covers QA but not in-call agent prompting.
2. Decagon
Decagon is an enterprise autonomous AI agent platform with named customers across fintech and consumer brands. Like Lorikeet, it replaces the agent-assist premise with end-to-end resolution across voice, chat, and email. It is a credible Cresta alternative for large enterprises with substantial support budgets and engineering capacity to invest in deployment.
Key Features
Per-conversation or per-resolution pricing, customer-selectable.
Voice, chat, and email in one platform.
White-glove deployment with embedded engineering during launch.
Production deployments processing large interaction volumes.
Ideal For
Large enterprises that want a top-of-market autonomous platform and can dedicate engineering resources to a multi-week deployment. The embedded-engineering model is a real benefit at launch, though it can signal that the platform is harder to configure and own without vendor hand-holding.
Pricing
No published rates. Industry data points to a platform fee plus per-conversation or per-resolution fees, with median total contract value reported in the low-to-mid six figures annually.
3. Sierra
Sierra is Bret Taylor and Clay Bavor's enterprise AI agent company, known for pure outcome-based pricing where customers pay only when the AI fully resolves a case. It is a strong Cresta alternative for enterprises that want billing aligned to results and have the procurement appetite for an enterprise contract.
Key Features
Outcome-only pricing: customers pay on full resolution; escalations to humans cost nothing.
Voice, chat, and email channels.
Branded "AI persona" approach to deployment.
High-touch implementation with embedded Sierra staff and a strong enterprise procurement story.
Ideal For
Large enterprises that want to pay only for successful resolutions and value a recognized enterprise brand. One honest caveat for regulated teams: a vendor paid only on full resolution has an incentive toward the tickets that resolve easily, which in regulated work are often not the ones that matter most. Worth probing how the model treats your hardest 20% of cases.
Pricing
Not published. Enterprise contracts are outcome-based with per-resolution rates negotiated case by case.
4. Cognigy
Cognigy is an enterprise conversational AI platform strong in voice and IVR automation, widely deployed as an orchestration layer in large contact centers. Of the alternatives here, it overlaps most with Cresta's contact-center heritage while leaning toward customer-facing automation rather than agent coaching.
Key Features
Enterprise voice and IVR replacement with broad telephony integrations.
Conversational orchestration across voice and digital channels.
Visual flow building plus generative AI agent capabilities.
Large-enterprise and contact-center-as-a-service ecosystem fit.
Ideal For
Large contact centers that want to modernize IVR and orchestrate voice and digital flows at scale, especially where telephony integration breadth matters more than out-of-the-box autonomous resolution for complex, regulated tickets.
Pricing
Not published publicly. Typically a platform fee plus usage, quoted by sales and scaled to channel and volume.
5. Kore.ai
Kore.ai is a broad enterprise conversational AI platform offering tooling to build bots, voice agents, and agent-assist experiences. It is a Cresta alternative for enterprises that want a flexible, build-it-yourself platform spanning both customer-facing automation and internal use cases.
Key Features
Wide tooling for designing virtual assistants, voice agents, and automations.
Model flexibility and an enterprise governance layer.
Agent-assist and search capabilities alongside customer-facing bots.
Large-enterprise footprint across industries.
Ideal For
Enterprises with platform teams that want maximum configurability and are willing to invest build effort to assemble the experience they want, rather than buying a focused, opinionated resolution product.
Pricing
Not published publicly. Platform-plus-usage pricing quoted by sales, scaled to deployment scope.
6. Fin by Intercom
Fin is the AI agent built on Intercom's messenger and helpdesk, notable for a low published per-resolution price and fast setup. It is a sensible Cresta alternative for teams already on or near Intercom that want autonomous resolution without a long deployment.
Key Features
$0.99 per resolved outcome, among the lowest published per-resolution rates.
Works with Salesforce and HubSpot helpdesks, not only Intercom.
Fast trial-to-deployment path.
Optional copilot for human agents.
Ideal For
High-volume consumer teams that want the lowest published per-outcome price and quick time to value. The trap to watch in regulated work: a low per-resolution price still rewards a vendor for handling many easy tickets, so the sticker price is not the same as total cost on the cases that carry regulatory risk.
Pricing
$0.99 per outcome, plus a helpdesk seat fee if you are not already an Intercom customer, with optional copilot and analytics add-ons.
7. Ada
Ada is one of the most established AI customer service vendors, expanded from chat into voice and email, and pitched on autonomous resolution rate. It is a reasonable Cresta alternative for mid-market and enterprise teams that prefer a long-track-record vendor over a newer entrant.
Key Features
Claimed autonomous resolution rate up to the low-to-mid 80s percent on supported workflows.
Multi-channel: chat, voice, and email.
Mature integrations with Salesforce, Zendesk, and major helpdesks.
Established deployment playbooks for large enterprise.
Ideal For
Mid-market and enterprise teams with high inbound volume that value a mature vendor. Because Ada grew up as a chatbot platform, its strength is breadth across channels; depth on multi-step, regulated action chains and audit-grade logging is where regulated buyers should test it hardest.
Pricing
Not published publicly. Marketplace data shows median annual contracts around $70,000, varying with company size and volume.
If your shift is from coaching humans to resolving tickets autonomously - and your tickets are regulated - see how Lorikeet resolves end-to-end with audit trails compliance teams approve.
How to Choose a Cresta Alternative
The first decision is not a feature comparison. It is a strategy decision: are you making a human workforce better, or moving volume off it. Get that wrong and every downstream comparison is noise. The lenses below assume you have decided on autonomous resolution, since that is why most teams leave Cresta.
Assist Versus Resolve
If you will keep hundreds of human agents and want real-time guidance and scorecards, stay close to Cresta or another agent-assist tool. If your goal is to take volume off agents entirely, you want an autonomous platform like Lorikeet, Decagon, Sierra, Fin, or Ada. Buying across the line wastes the product you bought. Be explicit about which side you are on before you sit through a demo.
Provable Behavior Before Go-Live
For regulated work, the question is whether you can test the agent's behavior - scripted disclosures, prohibited actions, dollar or eligibility thresholds, jurisdiction-specific responses - and read a pass/fail report before launch. Lorikeet's defence-in-depth approach runs adversarial simulations pre-launch, message checks inbound, guardrails outbound, and 100% QA after. Ask any vendor whether your compliance team can run the test suite before go-live, rather than only after an incident.
Audit Trail Depth
A transcript is not an audit trail. The standard regulators expect is a replayable record of every tool call, prompt, and reasoning step in order, with timestamps, for any ticket. Ask whether you can replay the full reasoning chain for a ticket from 90 days ago. Many platforms have logs; fewer have the chain-of-reasoning-plus-tool-call detail a regulated examination needs.
Multi-Step Action Chains
Real tickets are rarely a single lookup. They are verify identity, check status, take a corrective action, update a record, confirm. The platform has to chain several tool calls in the right order without losing state, and recover when one tool errors mid-chain. Ask what happens when a core system returns a 5xx halfway through. If the answer is always "escalate," you are looking at a bot, not an agent.
Native Multi-Channel on One Engine
Card locks come by phone, confirmations by email, disputes by chat. The agent should be the same agent across channels with shared memory, including voice at conversational latency. Many vendors run voice on a separate stack and bolt it to chat with a transcript handoff, which makes customers repeat themselves. A single workflow engine across voice, chat, email, and SMS is the bar.
Questions to Ask Your Vendor
Demos are built to look good. These questions are built to make a demo break.
Are you primarily an agent-assist tool or an autonomous resolution platform, and where does the other capability genuinely fall short?
Show me an audit trail for a decision your AI made last week, end to end, with every tool call and the reasoning between them.
Can my compliance team run your guardrail test suite before go-live and read the pass/fail report?
What happens when a core system returns a 5xx mid-chain - retry, escalate, or roll back?
Does voice run on the same workflow engine as chat and email, and can the agent take actions on a call?
How does your pricing treat the hard 20% of tickets that do not fully resolve?
Lorikeet's Take on Replacing Cresta
Cresta is good at a real job: making human agents more consistent and compliant on live interactions. The reason teams come looking for an alternative is usually that the job itself is changing. The budget is moving from "help the human" to "resolve without the human," and an agent-assist tool cannot follow it across that line no matter how good the coaching is.
For regulated teams making that move, the bar is not deflection rate. It is whether your compliance lead can sign off on the agent's behavior before launch and replay any action after. That is the lens Lorikeet is built around: provable behavior through defence in depth, end-to-end resolution across voice, chat, email, and SMS on one engine, and a Coach agent that runs 100% automated QA. If your hardest stakeholder is compliance and your hardest tickets are the regulated ones, see how Lorikeet handles end-to-end resolution.
Key Takeaways
Cresta is an agent-assist and conversation-intelligence platform; most "Cresta alternatives" searches are really a move toward autonomous resolution, which is a different product category.
The seven alternatives split into autonomous resolution (Lorikeet, Decagon, Sierra, Fin, Ada) and conversational AI or voice automation (Cognigy, Kore.ai).
For regulated industries, the deciding criteria are provable behavior before go-live, audit-trail depth, multi-step action chains, and native multi-channel on one engine - not coaching quality.
Pricing models diverge: Cresta, Cognigy, and Kore.ai run platform-and-seat contracts, while Lorikeet, Decagon, Sierra, Fin, and Ada lean per-resolution or usage-based.
Lorikeet is the strongest fit for fintech, healthtech, insurance, and gaming teams that need end-to-end resolution with audit trails and defence-in-depth guardrails; Cresta remains a better fit if you are committed to a large human agent floor.
Conclusion
Choosing a Cresta alternative starts with an honest answer to one question: are you optimizing a human workforce or replacing the need for one on routine tickets. Cresta and the conversational platforms here serve the first goal well. The autonomous platforms - Lorikeet, Decagon, Sierra, Fin, and Ada - serve the second.
For complex, regulated work, the platform has to do more than resolve. It has to prove what it did, before and after, in a form your compliance team and your regulators trust. Lorikeet is built for exactly that buyer: end-to-end resolution across voice, chat, email, and SMS, deterministic and natural-language workflows, defence-in-depth guardrails, and 100% automated QA. The other six are credible depending on whether you stay in agent assist, how large your enterprise budget is, and how regulated your tickets really are.
If you are moving from coaching agents to resolving tickets in a regulated business, book a Lorikeet demo and bring your hardest ten tickets - we will run them against your guardrails before you sign.
