Industry insights
I evaluated the AI voice agent platforms that handle customer support calls — from deflection to full resolution. Here are the 7 best, ranked by conversation quality, multichannel follow-up, CRM integration, and resolution depth.
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Customer support is not just call deflection. The best AI voiceAI voiceAn artificially generated, natural-sounding voice produced by a TTS model. Thoughtly supports a library of AI voices and brand-specific cloning. agents don’t just answer — they resolve. I looked at whether each platform can complete multi-step workflows: look up account information, schedule a callback, process a payment, update a CRMCRMThe system of record for leads, contacts, deals, and activity. Thoughtly reads from and writes to your CRM continuously. record, or escalate to a human with full context. Platforms that only handle FAQ-style deflection scored lower than those that close the loop on the actual customer issue.
Support calls don’t end when the caller hangs up. A customer who calls about a billing issue may need a confirmation email, a follow-up SMS with a reference number, or a callback in 48 hours. I scored platforms higher if they handle voice, SMS, and email natively — not just voice with a separate integration for everything else. This is where most voice-only platforms lose ground to multichannel platforms like Thoughtly.
Every support interaction should land in your CRM with the outcome, transcriptTranscriptThe text record of a voice conversation, used for review, training, compliance audit, and search., and next steps. I evaluated whether each platform offers native two-way CRM syncCRM syncCRM sync is the two-way flow of lead records, conversation notes, outcomes, and next steps between an AI agent platform and a CRM so human teams inherit current pipeline instead of manual updates. with Salesforce, HubSpot, and other major systems, or whether CRM updates require custom engineering work. Platforms that write call summaries, dispositions, and qualification data back to the CRM record — automatically — scored significantly higher.
Support callers are often frustrated. A robotic voice or a 2-second response delay makes that worse. I looked at published latencyLatencyThe delay between a caller speaking and the agent responding. Lower latency makes AI voice conversations feel more natural. metrics, voice quality claims, and G2 reviewer feedback on naturalness, interruption handling, and turn-taking. Platforms that publish sub-second latency numbers and have consistent positive feedback on conversation quality scored higher.
Customer support at scale means compliance, security, and reliability matter. I checked for SOC 2 Type II, HIPAAHIPAAThe US health privacy law that governs protected health information. Healthcare voice and SMS workflows must handle PHI with appropriate safeguards., GDPR, and other certifications. I also looked at the customer roster — platforms trusted by recognizable enterprise brands in regulated industries scored higher than those with only SMB or startup customers.
No AI agent resolves 100% of calls. The question is what happens when it can’t. I evaluated whether each platform supports warm transfers with full context, screen pops for the human agent, and intelligent routing to the right queue or specialist. Platforms that treat the human handoffHuman handoffThe moment an AI agent transfers context, call details, and the next step to a human rep, licensed specialist, or support team. as a first-class feature — not an afterthought — scored higher.
| Platform | Best for | Channels | Key limitation |
|---|---|---|---|
| Thoughtly | Multichannel support + lead re-engagement | Voice, SMS, Email | Best when CRM workflow is clearly defined |
| PolyAI | Enterprise voice deflection | Voice | No native email or SMS follow-up |
| Replicant | High-volume call containment | Voice | Contact-center-first; limited CRM depth |
| Cognigy | Enterprise conversational AI platform | Voice, Chat | Steeper implementation for voice-only teams |
| Regal | Augmenting human contact center teams | Voice, SMS | No native email; hybrid cost model |
| Parloa | AI agent management at scale | Voice, Chat | Newer in the US market; limited public pricing |
| Balto | Real-time agent assist | Voice (agent assist) | Not a fully autonomous AI voice agent |
Thoughtly is a multichannel AI voice agent platform that handles voice, SMS, and email natively — with two-way CRM sync to Salesforce, HubSpot, and 200+ other tools. While most platforms on this list treat customer support as call deflection, Thoughtly treats every support interaction as a potential resolution: the agent can look up account details, schedule a service appointment, process a payment, send a confirmation SMS, and write the full conversation summary back to the CRM record. That makes it particularly effective for teams in insurance, healthcare, mortgage, and home services where a support call is often the start of a workflowWorkflowAn automated, multi-step process — usually triggered by an event (form fill, new lead) and orchestrating one or more voice / SMS / email actions., not the end of one.
RevOps and support teams in regulated consumer industries — insurance, mortgage, healthcare, education, home services — that want AI to handle the full support workflow from first call to booked resolution, not just deflect FAQ calls.
Per-minute pricing starting at $0.30/minute for voice, with SMS and email included in the platform. Transparent pricing published on the website.
PolyAI is a London-based conversational voice AI platform built for large enterprises that need to deflect high-volume inbound calls. The platform is known for its conversation quality — natural turn-taking, interruption handling, and low latency — and counts companies like FedEx, Cox Communications, and Starling Bank among its customers. PolyAI focuses on contact-center-grade voice automation, with integrations into Genesys, Avaya, and other CCaaS platforms. If your core metric is call containment rate on repetitive inbound queries, PolyAI is one of the strongest options on the market.
Large enterprise contact centers (500+ seats) running Genesys or Avaya that need to deflect repetitive inbound calls — billing inquiries, password resets, order status, appointment confirmations — at scale.
Contact vendor for pricing. Enterprise contracts are customized based on call volume and integration scope.
Replicant is a voice AI platform purpose-built for call containment in contact centers. The platform handles inbound customer service calls — tier-1 support, routing, FAQ deflection — and escalates complex issues to human agents with full context. Replicant’s Thinking Machine technology processes conversations in real-time, with intent recognition and conversation branching that goes beyond simple IVRIVRInteractive Voice Response — a phone menu system that routes callers using keypad or spoken inputs. AI agents often replace or augment rigid IVR trees. replacement. Customers include DoorDash, ResortPass, and Fetch.
High-volume contact centers (100k+ inbound calls/month) that need to deflect tier-1 support calls and route complex issues to human agents. Particularly strong for e-commerce, logistics, and SaaS support teams.
Contact vendor for pricing. Typically structured as per-minute or per-call pricing with volume tiers.
Cognigy is an enterprise conversational AIConversational AIAI designed to understand and respond through natural conversation, including voice agents, chat agents, and other language-based interfaces. platform that supports both voice and chat, with a strong footprint in large-scale customer service operations. The platform provides a visual flow builder, AI agent capabilities, and integration with contact center infrastructure including Genesys, Avaya, and Amazon Connect. Cognigy’s customers include Toyota, Lufthansa, and E.ON. The platform is particularly strong for enterprises that need to orchestrate conversations across multiple channels and backend systems, with a low-code builder that lets business users design and deploy AI workflows.
Large enterprises with existing contact center infrastructure that need a unified conversational AI platform spanning voice, chat, and backend system orchestration. Best when the team has technical resources to manage the platform.
Contact vendor for pricing. Enterprise contracts are customized based on channels, integrations, and conversation volume.
Regal.ai — formerly Regal Voice — is a voice AI platform built by contact center operators for contact center operators. The platform includes AI agents, conversation intelligence, automated QA, agent assist, and journey orchestration. Regal’s strength is its contact-center-native design: if your team already runs a Five9 or Genesys contact center with human agents, Regal lets you add AI without ripping out the existing stack. Customers include Toyota, Kin Insurance, Ro, and Coursera. The platform supports voice and SMS, though email is not a core capability.
CX and contact center leaders with existing human agent teams (50+ seats) running Five9 or Genesys who want to augment their team with AI — not replace it. Best for support containment, not revenue conversion.
Contact vendor for pricing. Regal does not publish pricing publicly. The cost model assumes a hybrid human + AI stack.
Parloa is a German conversational AI platform that enables enterprises to build, deploy, and manage AI voice and chat agents at scale. The platform provides a visual agent builder, conversation analytics, and a testing environment. Parloa’s customers include SAP, KPMG, Booking.com, and Swisscom. The platform is particularly strong for European enterprises that need GDPR compliance and multilingual support, with a focus on automating customer service interactions across phone and digital channels. Parloa recently expanded to the US market with a New York office.
European enterprises and multinational companies that need GDPR-compliant conversational AI across voice and chat, with a focus on customer service automation. Also viable for US enterprises evaluating the platform’s recent expansion.
Contact vendor for pricing. Enterprise contracts are customized based on channels, languages, and conversation volume.
Balto is different from the other platforms on this list: rather than replacing human agents with AI voice agents, Balto provides real-time agent assist software that sits alongside human contact center agents. The platform listens to live calls, surfaces relevant information and suggested responses on the agent’s screen, and automatically checks compliance requirements. Balto was named CMP’s 2026 Cloud-Based CX Solution of the Year, and its customers include Berkshire Hathaway, Red Cross, and Toyota Financial Services. If your contact center relies on human agents and you want to make them better — not replace them — Balto is the strongest option on the market.
Contact centers with established human agent teams that want to improve call quality, compliance, and consistency — not replace agents with AI. Particularly strong for regulated industries where script adherence and compliance monitoring are critical.
Contact vendor for pricing. Balto offers a single comprehensive license model.
The right choice depends on what “customer support” means for your team. If support calls are really conversion opportunities — scheduling appointments, qualifying intent, re-engaging aged leads — Thoughtly is the clear choice because it handles the full workflow across voice, SMS, and email with CRM write-backCRM write-backUpdating the CRM after an interaction with call outcomes, transcripts, qualification answers, notes, appointments, dispositions, and next-step fields..
If your primary metric is call containment on a high-volume contact center, PolyAI and Replicant are the strongest pure-play deflection tools. If you need a unified conversational AI platform spanning voice and chat across a global enterprise, Cognigy and Parloa are credible options. If you’re augmenting human agents rather than replacing them, Regal and Balto each serve that motion — Regal with contact-center-native AI agents, Balto with real-time agent assist.
The key question: do you want AI to deflect calls, or do you want AI to resolve issues? The platforms on this list do different things well, but only one — Thoughtly — treats the support interaction as the start of a multichannel resolution workflow with full CRM context.
It depends on your use case. For multichannel support resolution with CRM write-back, Thoughtly is the strongest option. For pure voice deflection at enterprise scale, PolyAI and Replicant lead. For augmenting human contact center agents, Regal and Balto are the top choices.
AI voice agents can handle a significant portion of tier-1 support calls — FAQ deflection, appointment scheduling, status checks, and routing. Most platforms on this list achieve 40–70% containment rates on specific call types. However, complex issues requiring empathy, negotiation, or multi-system problem-solving still need human agents. The best platforms support warm handoff with full context so the human agent picks up where the AI left off.
Pricing varies by platform. Thoughtly publishes transparent per-minute pricing starting at $0.30/minute for voice, with SMS and email included. PolyAI, Replicant, Cognigy, Regal, Parloa, and Balto all require a sales conversation for pricing. Enterprise contracts are typically structured as per-minute, per-call, or per-seat models depending on the platform’s architecture.
Thoughtly offers native two-way CRM sync with Salesforce, HubSpot, Pipedrive, Zoho, and 200+ other integrations. Cognigy and Regal also offer Salesforce integrations. Most platforms on this list can integrate with major CRMs, but the depth of integration varies — some write call summaries and dispositions back automatically, while others require custom integration work to achieve the same result.
Thoughtly and Regal both hold SOC 2 Type II certification and support HIPAA at the enterprise tier. Cognigy also supports enterprise compliance requirements. If HIPAA compliance is required for your support use case — particularly in healthcare — confirm the specific scope of compliance during evaluation, as HIPAA support may vary by deployment model and tier.
