Cold calling software · AI Call Center
AI call center software: contact center AI for automated outbound calls
Two products are sold under the same three words. One is a bank of AI features bolted onto a seat you already pay for: transcription, sentiment scoring, next-best-action prompts on a human agent's screen. The other is an agent that holds the conversation itself. Both get marketed as AI call center software, and the price lists are not comparable, because one bills per person and the other bills per minute.
This page puts the published numbers next to each other and does the arithmetic. Where a vendor publishes a rate we quote it and say where it came from. Where a vendor publishes nothing we say that too, rather than repeating a range from a listicle. We build outbound calling, so we are not neutral, and our own row is marked as planned pricing that is not open for purchase yet. The parts of this page you should trust regardless are the vendor rates, which came from the vendors' own pricing pages and, in Amazon's case, from the public AWS Price List API on August 29, 2026.
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AI call center software uses speech recognition and large language models to handle or assist calls that a human agent used to take alone. The category is sold on two incompatible meters. The hyperscalers publish a usage rate: Amazon Connect charges $0.018 per voice minute for standard voice and $0.038 for its AI voice, plus $0.005 for every outbound campaign call placed, while Google charges $0.001 per second of audio for a Flows voice agent and $0.002 for a generative one, which works out to $0.060 and $0.120 a minute. The CCaaS suites sell a seat instead: Five9 lists $119 and $159 per seat per month but its own footnote sets a minimum of 50 seats, Genesys runs $75 to $240, and NICE publishes nothing. For a 5,000 minute outbound month the usage-metered platforms land between roughly $300 and $900 while the seat-metered ones start at several thousand.
Why it works
What your team gets with AI call center
Two meters, one category name
CCaaS suites bill per seat, so the invoice tracks headcount and rises as you hire. AI agents bill per minute or per conversation, so the invoice tracks work done and falls per unit as volume grows. Comparing a $159 seat to a $0.06 minute without fixing a workload first is how buyers end up surprised.
Agent assist is not an autonomous agent
Most contact center AI listens while a human talks and writes on their screen. That is a real product and it lifts a floor of trained reps. It does not place a call that nobody had time to make. Ask any vendor whether the AI speaks to the prospect or to the rep, because the answer changes what the tool can fix.
The seat floor sets your real minimum
Five9 prints a footnote setting a minimum of 50 seats. Talkdesk sells a US and Canada Express package at 25 licences. Those floors, not the headline per-seat rate, decide the smallest cheque you can write. The usage-metered platforms have no floor at all, which is the strongest argument for them at small volume.
What it handles
Dialed, disclosed and booked on autopilot
The agent works your lead list, discloses it is an AI on every call, scrubs against DNC in real time, qualifies the prospect, handles objections, and books the meeting straight into your calendar and CRM.
- An AI agent that places the outbound call and talks to whoever answers
- AI disclosed at the top of every call, with DNC scrubbing enforced before dialing
- Qualification against your criteria, with objections handled live on the call
- Meetings booked straight into the calendar and outcomes written back to the CRM
- Calling hours configurable to the called party local time
- No seat licence and no seat minimum
The landscape
AI call center and contact center AI platforms, on published price
Rates read from each vendor pricing page, and for Amazon Connect from the public AWS Price List API for us-east-1, on August 29, 2026. Google and Amazon figures are usage rates and exclude carrier telephony. Where a vendor publishes no figure we say so instead of estimating one.
| Platform | What the AI actually does | Published price | Best for |
|---|---|---|---|
| Amazon Connect | Contact center infrastructure you assemble. Routing, recording and conversational analytics are AWS services; the talking agent is something you build on top with Lex or Bedrock | $0.018 per voice minute standard, $0.038 per AI voice minute. Outbound campaigns $0.025 per minute standard and $0.045 with AI, plus $0.005 per call placed. Forecasting $27 and scheduling $27 per agent, evaluations $12 per agent. External voice connector $100 per day. No seat licence | Engineering teams that want a meter with no seat floor and will build the agent themselves |
| Google Conversational Agents | Builds voice and chat agents (formerly Dialogflow CX). Flows are deterministic; Playbooks are the generative option. Agent Assist coaches a human rep instead | Voice $0.001 per second on Flows and $0.002 on Playbooks, which is $0.060 and $0.120 a minute. Chat $0.007 and $0.012 per request. Agent Assist voice $0.02 to $0.05 a minute. Conversational Insights $50 per named agent or $60 per concurrent agent per month. New accounts get $600 of Flows and $1,000 of Playbooks credit, expiring after 12 months | Teams that want a published generative voice rate and are comfortable assembling telephony separately |
| Five9 | Full CCaaS suite. Intelligent Virtual Agent, real-time transcription and summarization sit alongside a licensed human seat | $119 Digital and $159 Core per seat per month. Plus, Pro and Enterprise are quote only. Its own footnote reads that pricing is per concurrent user, usage-based pricing may apply, with a minimum of 50 seats. AI add-ons are not priced publicly | Established contact centers already at fifty or more seats |
| Genesys Cloud CX | Enterprise CCaaS with routing, workforce engagement and AI bundled by tier | $75, $115, $155 and $240 per user per month billed annually | Large, multi-queue service operations with mature workforce management |
| Talkdesk | CCaaS with prebuilt industry models and AI automation packaged per tier | $85, $105, $165 and $225 per user per month. The US and Canada Express package requires 25 licences and carries a $100 credit, for firms under 50 employees | Mid-market service teams that want an industry template rather than a build |
| NICE CXone Mpower | CCaaS suite with quality management, analytics and AI agents | No published figure anywhere on the site. Quote only | Enterprises running a formal procurement where a quote is expected anyway |
| RingCentral Contact Center | Contact center layered on the RingEX phone system, with AI assist features | Contact Center from $65 per user per month. RingEX is $20 to $35 per user per month annually at 1 to 5 seats | Teams already on RingCentral telephony who want one vendor |
| Dialpad | AI that transcribes and coaches in real time. AI Agents handle self-service sessions | AI Agents from $200 per month for 500 sessions | Teams whose priority is coaching human reps rather than replacing the call |
| Retell AI | Voice AI platform you build an agent on. The AI holds the conversation | $0.07 to $0.31 per minute, published as a stack of $0.055 voice infrastructure plus the language model plus $0.015 text to speech plus $0.015 US telephony. 20 concurrent calls free, then $8.00 per extra line per month | Developers who want the AI to talk and will own the prompt and the tooling |
| Bland AI | Voice AI platform with the model, transcription and voices inside one per-minute rate | Start $0.14 per minute with no platform fee, Build $0.12 plus $299 a month, Scale $0.11 plus $499. Daily call caps of 100, 2,000 and 5,000. Concurrency 10, 50 and 100 | Teams that want one number per minute rather than a stack to assemble |
| Convoso | Outbound dialing platform with its own conversational AI product, Voso.ai | No published figure. Quote only, annual, no free trial | High-volume outbound floors that already run a predictive dialer |
| ColdCalls.ai | The AI places the outbound call, discloses itself, qualifies, handles objections and books the meeting | Planned launch pricing of $499, $1,490 and $3,900 per month, with roughly 1,500, 6,000 and 20,000 connected minutes. No seat licence and no seat minimum. Not yet open for purchase, waitlist only | Outbound teams whose problem is that nobody is making the calls |
Our own row is planned pricing on a waitlist, not a live checkout, and it is in the table so you can see where an outbound-only AI agent sits next to a CCaaS seat. If your problem is inbound service volume rather than outbound pipeline, Amazon Connect, Google and Genesys are better answers than we are, and we would rather say that here than waste your evaluation.
How much does AI call center software cost?
Between roughly $300 and $900 a month if you buy a usage meter, and from several thousand a month if you buy seats, for the same 5,000 minutes of talk time. The gap is not a discount or a negotiation. It is two different billing models that the category markets under one name.
Fix a workload and the comparison stops being abstract. Take 5,000 connected minutes in a month, which at a three minute average conversation is about 1,667 conversations. On Amazon Connect's AI outbound campaigns that is 5,000 minutes at $0.045, so $225, plus the per-call fee of $0.005 on every dial. Using Gong's published average of 19 dials per conversation across 300 million calls, 1,667 conversations means roughly 31,700 dials and another $158 in call fees, for about $383 before carrier telephony. On Google's Conversational Agents the same 5,000 minutes is $300 on a Flows voice agent at $0.060 a minute, or $600 on a generative Playbooks agent at $0.120. On Bland's Build tier it is $299 plus 5,000 minutes at $0.12, so $899. On Retell it is anywhere from $350 to $1,550, because the width of that range is almost entirely which language model you pick.
Now price the same month on seats. Five9 Core is $159 per seat, which looks cheap next to $899 until you read the footnote on its own pricing page setting a minimum of 50 seats. Fifty seats at $159 is $7,950 a month whether you talk for 5,000 minutes or 50,000. Genesys Cloud CX 2 at $115 across ten users is $1,150. Talkdesk Elevate at $105 is $1,050 across ten users, but the US and Canada Express package it sells to firms under 50 employees requires 25 licences, so $2,625. NICE publishes nothing at all.
The honest summary is that seats win when you have a lot of people who need a screen, and meters win when you have a lot of calls and few people. Neither is cheaper in general. We ran the same exercise across nine startup voice platforms on AI voice agent pricing, and against BPO hourly rates on outbound call center pricing.
- Usage meters at 5,000 minutes: about $383 on Amazon Connect AI outbound, $300 to $600 on Google, $899 on Bland Build
- Seat meters at the same volume: $7,950 at the Five9 50-seat floor, $1,150 on Genesys at ten users
- The per-call fee is the part buyers miss: Amazon charges $0.005 on every dial, not every connect
- Carrier telephony sits on top of every usage rate quoted here
What is the difference between contact center AI and an AI agent?
Contact center AI usually means software that listens to a call a human is already having and helps them. An AI agent means software that has the call instead. Both are sold as artificial intelligence for the call center and the distinction is the single most useful question to ask a vendor.
Google draws the line inside its own price list, which makes it easy to see. Agent Assist is billed at $0.02 to $0.05 a voice minute for transcription, summarization, knowledge assist and sentiment analysis delivered to a human rep. Conversational Agents is billed at $0.001 or $0.002 per second of audio because the software is doing the talking. Same vendor, same voice channel, two products with different jobs.
One detail from that price list is worth knowing if you are already a Google customer. On March 6, 2026 Agent Assist chat moved from per-session to per-message billing, at $0.002 a message on Standard and $0.003 on Enterprise. Accounts onboarded before that date stay on the old session SKUs at $0.06 and $0.08 per session, which Google now labels obsolete. Whether the change helps or hurts depends entirely on how long your chats run, so it is worth recalculating rather than assuming a grandfathered rate is the better one.
For outbound work the distinction decides everything, because assist tools improve calls that are already happening. If the constraint is that nobody has time to dial, coaching does not fix it. That is the case we make on the AI SDR page and in more detail in our comparison of an AI voice agent against a human SDR.
- Assist products talk to your rep and are priced per minute of the human call
- Agent products talk to your prospect and are priced per second or minute of audio
- Google prices both and the gap is visible: $0.02 to $0.05 assist against $0.06 to $0.12 agent
- Assist lifts a floor of trained reps; it does not add dials you never made
Can AI replace call center agents?
Not wholesale, and the useful version of the question is which calls it replaces. AI handles the repetitive, script-shaped end of the work reliably: qualification, appointment setting, list coverage, and the first two minutes of a call that decides whether a conversation is worth a human's time. It does not do negotiation, escalation, or the kind of judgment call where the wrong answer costs a customer.
Outbound is where the substitution argument is strongest, because the work is genuinely repetitive and the alternative is expensive. The Bridge Group's 2025 research across 351 B2B companies puts median SDR turnover near 40% a year with three months to ramp and 1.9 years of tenure, and reports a median of 44 dials a day producing 4.1 quality conversations. A seat you have to refill every two years, that takes a quarter to become productive, is a hard economic base to defend against software that works the whole list every pass.
Inbound service is a different picture. Deflection rates are real but partial, and the calls that reach a human after the AI has already failed are the hardest ones. Anyone quoting a single replacement percentage across both directions is selling something. What we would say plainly is that on outbound, the AI can carry the dialing and qualification end to end, and your reps should be on the meetings it books. We cover where the line falls in practice on replacing an SDR with AI.
- Replaced well: dialing, qualification, appointment setting, list coverage, first-pass triage
- Not replaced: negotiation, escalation, discovery depth, anything with a real judgment cost
- Bridge Group 2025: 40% SDR turnover, 3.0 months to ramp, 44 dials for 4.1 conversations a day
- Treat any single replacement percentage across inbound and outbound as marketing
Does AI call center software work for outbound calls?
It does, but outbound is metered differently from inbound and the difference is easy to miss until the first invoice. Inbound calls are answered by definition, so a per-minute rate maps cleanly onto work. Outbound calls mostly are not answered, and several platforms charge you for placing them anyway.
Amazon Connect makes this explicit in its price list. Outbound campaign voice calls carry a $0.005 fee per call made, separate from the $0.025 or $0.045 per minute of audio. Cold calling connect rates run around 5.4% on Gong's cross-customer average and 13.3% in the top quartile, so at the average you pay the per-call fee about 19 times for every conversation you get. On a 30,000 dial month that is $150 of pure dialing fees before anyone says hello. It is not a large number, but it is the number that scales with your failure rate rather than your success rate, and no seat-priced platform exposes it at all.
The second outbound-only cost is number reputation. Dial volume from a small pool of numbers gets flagged, answer rates fall, and the fix is a priced product rather than a setting. We break down what carriers and analytics engines actually charge on branded caller ID, where the two vendors who publish full ladders land between roughly 6 and 12.5 cents per branded call.
The third is the dialer itself, which most contact center AI does not include. If your shortlist is really about pacing and connect rate rather than conversation quality, start from outbound call center software or the tier-by-tier breakdown on cold calling software, and check predictive dialer software if abandonment limits are in scope.
- Amazon Connect charges $0.005 per outbound call placed on top of per-minute audio
- At a 5.4% connect rate you pay that fee roughly 19 times per conversation
- Number reputation is a separate priced product, not a configuration option
- Most contact center AI ships no dialer, so pacing is a second purchase
What compliance rules apply to AI calls in the United States?
The same rules that applied before the calls were automated, plus one clarification specific to synthetic voice. In February 2024 the FCC confirmed that AI-generated voices in calls fall under the TCPA, which means consent requirements and the do-not-call rules attach to an AI call exactly as they do to a human one.
Three obligations catch outbound programs most often. First, revocation: since April 11, 2025, 47 CFR 64.1200(a)(10) lets a called party revoke consent by any reasonable method, bars you from designating an exclusive channel, and requires you to honor it within a reasonable time not exceeding ten business days. A key-press opt-out during the call and the words stop, quit, end, revoke, opt out, cancel or unsubscribe by text are all per se reasonable. Second, abandonment: 16 CFR 310.4(b)(1)(iv) counts a call as abandoned if a person answers and is not connected to a representative within two seconds of their completed greeting, and the FTC safe harbor caps abandonment at 3% of calls answered by a person, not calls placed. Third, records: 16 CFR 310.5(a) requires five years of retention including the script used, the caller ID transmitted, and the disposition of each call.
None of that makes AI calling unlawful, and the B2B exemption at 16 CFR 310.6(b)(7) removes a good deal of it for business-to-business outreach. It does mean compliance has to be built into the platform rather than added by policy. We keep the vendor and scrubbing side on TCPA compliance software, and the legal analysis with citations on whether AI cold calling is legal.
- FCC, February 2024: AI-generated voices in calls are covered by the TCPA
- Revocation by any reasonable method, honored within ten business days, since April 11, 2025
- FTC safe harbor: abandonment under 3% of calls answered by a person, per 30-day period
- Five year record retention including the script, the caller ID sent and each disposition
Why ColdCalls.ai
One AI SDR that runs the whole outbound job
Not a dialer, not a script tool, and not an offshore call center. Dial, disclose, qualify, handle objections and book meetings in one place, with compliance built in.
Calls every lead
The AI voice agent works your whole list, discloses it is an AI on every call, qualifies the prospect and handles objections, so no good lead goes uncalled.
Stays compliant
Real-time DNC scrubbing, TCPA and consent-aware calling, and configurable calling hours mean every call goes out inside the rules, automatically.
Books the meeting
Qualified prospects get booked straight into your calendar and synced to your CRM, so your reps walk into meetings instead of dialing all day.
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