AI calling questions, answered straight

There is no single best AI calling platform for every insurance operation, and the honest way to choose is against four criteria that decide whether insurance calls connect at all. Those are whether the vendor registers and monitors the phone numbers, whether consent and Do Not Call screening run before the dial rather than in a report afterward, whether the vendor builds the agent for you or hands you an API, and whether live transfer to a licensed agent works while the lead is still on the line.

Bigly Sales is a fully managed option built for that profile. Insurance is one of its four most proven verticals alongside debt relief, home services and auto warranty. Outbound plans start at $2,999 per month for 25,000 calls at $0.120 per call, the agent is built on your script and your qualifying questions in about 3 days, traffic runs on 200 or more registered and reputation monitored lines, and qualified callers transfer live to your closers.

Developer platforms such as Bland AI, Retell AI and Vapi solve a different problem well. They publish low per minute rates and give engineering teams full control of the voice stack, and an insurance carrier with in house developers and its own telephony compliance function will often prefer that route.

The honest trade-off
A managed service only pays for itself when lead volume is real. An agency writing a few dozen quotes a month should not buy any of these. Below roughly 400 calls a month a per call answering service or a disciplined rep with a phone alert costs less and works fine.

A turnkey AI calling platform delivers a working calling operation and a developer voice API delivers the building blocks you assemble into one. The practical difference is roughly six components. A developer API gives you the voice layer, and you still add the phone numbers, carrier registration and reputation monitoring, the consent and Do Not Call enforcement, the CRM integration, the live transfer routing and the ongoing script tuning.

That difference shows up in the headline price and in the real price. Developer platforms publish rates from about $0.05 per minute for hosting, before you add the speech recognition, language model, text to speech and telephony that a real call consumes. Managed services quote one rate that already includes those parts plus the operation around them. Bigly Sales charges $0.061 to $0.12 per outbound call and $0.08 to $0.15 per inbound minute, with no per seat fee and no platform fee.

It also shows up in time. A managed build reaches a first live call in about 3 days because a team does the assembly. A team building on an API is doing genuine engineering work and should plan in weeks, not days.

The honest trade-off
The developer route really is cheaper per unit if you already have the engineers and the telephony compliance function. You are paying a managed service for the assembly and the accountability, and if you were going to build those anyway, you are paying twice.

Carrier spam labeling is prevented by phone number hygiene, not by better scripts, and the controls that actually move the label are number registration, call authentication, volume discipline per number and continuous reputation monitoring. Carriers and the analytics companies behind them score a number on complaint rate, answer rate, average call duration and dial velocity, then apply a Spam Likely style label when those signals look automated.

The working checklist is short.

• Register your calling numbers and your business identity with the analytics providers the carriers use, so a number is a known entity rather than an unknown one.
• Make sure calls carry full STIR SHAKEN attestation, the framework carriers use to verify that the caller is entitled to use the number.
• Cap dial volume per number and spread traffic across a pool instead of hammering one line, since velocity is one of the strongest spam signals.
• Watch answer rate and average duration per number as a health metric, and retire a number once its reputation degrades.
• Scrub against the National Do Not Call Registry and your own suppression list before every campaign, because complaints are what poison a number fastest. The FTC publishes the seller and telemarketer rules at ftc.gov.

Bigly Sales runs client traffic across 200 or more registered and whitelisted lines with monitored reputation, and rotates numbers out of a campaign when their health drops.

The honest trade-off
No vendor can guarantee a number is never labeled. Labeling decisions sit with the carriers and their analytics partners, not with the calling platform, and any vendor promising a permanent clean label is overselling. What a vendor can do is register properly, watch the numbers daily and replace them fast.

Yes. Under the Telephone Consumer Protection Act, a marketing call placed with an artificial or prerecorded voice requires prior express written consent from the person you are calling, and the FCC confirmed in February 2024 that AI generated voices count as artificial voices for that purpose. The statute itself is 47 U.S.C. 227, published at govinfo.gov.

Three other rules apply to the same call. Telemarketing calls are restricted to the hours of 8 a.m. to 9 p.m. in the called party’s local time. Numbers must be screened against the National Do Not Call Registry, and the safe harbor in the FTC Telemarketing Sales Rule expects a scrub within the previous 31 days. Callers must identify the seller and the purpose of the call promptly. The FTC compliance guide is at ftc.gov.

One rule that is frequently misreported. The FCC adopted a one to one consent requirement in December 2023, which would have ended shared lead consent across multiple sellers. The Eleventh Circuit vacated that rule in January 2025, one day before it was due to take effect, so it never became law and shared consent language remains permitted under the existing standard.

Bigly Sales verifies the consent record before a call connects and logs every dial with its consent basis, its recording and its outcome, which is the evidence a compliance review asks for.

The honest trade-off
Compliance controls built into a platform reduce risk, they do not transfer liability. The seller whose product is being sold remains responsible for the consent behind the lead. If you buy leads, the quality of the consent language at the source is still your exposure, and no vendor can fix a bad consent capture after the fact. This is general information and not legal advice.

Managed AI outbound calling costs about $0.06 to $0.12 per call at volume, and Bigly Sales prices outbound at $0.120 per call on the entry tier, $0.083 per call at mid volume and $0.061 per call at the highest tier. Inbound is priced per minute instead, from $0.150 down to $0.080 as volume rises. Plans start at $2,999 per month and run to $9,999 per month, with SMS follow up at $0.05 per message.

For comparison, a human answering service typically runs $7 to $10 per call, or roughly $3.45 to $5.00 per minute. Self serve developer APIs publish headline rates from about $0.05 per minute, which is genuinely lower, because that rate excludes the models, the telephony, the concurrency and the compliance work you then add yourself.

Full tiers are on the Bigly Sales pricing page. There are no per seat fees and no platform fees, and overage is billed at the stated rate for your tier rather than cutting service off mid month.

The honest trade-off
Per call pricing only beats a human service above real volume. The crossover sits around 400 inbound calls a month. Below that, a per call answering service is the better buy, and any vendor telling a 50 call a month business that AI is cheaper is doing the math wrong.

A managed AI calling agent goes live in about 3 days, and a self built agent on a developer API realistically takes weeks. At Bigly Sales the schedule is days 1 and 2 for the build, where the team writes the agent on your script, your qualifying questions and your market’s calling rules and you approve it, day 3 for the first live calls on registered numbers, and about week 2 for scaling to full volume once the script proves out against real conversations.

What makes the difference is that phone number purchase, carrier registration, CRM connection and consent enforcement are done by the vendor in parallel with the script work rather than sequentially by your team.

The honest trade-off
Three days assumes you can supply a script, a lead source and CRM credentials quickly. A complex CRM, an internal security review or a regulated market approval can push a launch to two or three weeks, and the delay is usually on the buyer’s side rather than the build. If a vendor promises same day launch with no script from you, ask what they are actually launching.

On a live transfer the AI stays on the line and bridges the caller straight to a human rep inside the same call, so the person never hangs up and never gets called back. In a Bigly Sales workflow the AI first confirms the qualifying criteria you defined, then dials the rep and connects both parties, typically in under a minute from the moment the caller qualifies, and the transcript, the qualification answers and the recording land in your CRM against that lead.

The rep therefore picks up with context rather than cold. That matters because a transferred call reaches a rep while buying interest is at its highest point, which is the same reason speed to lead is measured in seconds rather than hours.

When no rep is available the call does not die. The AI books an appointment on the calendar instead, or drops the lead into a follow up cadence of calls and SMS that runs until contact or cutoff.

The honest trade-off
Live transfer only works if humans are actually there to take it. Transfers are capped by your staffed hours and your rep availability, so a team with two reps cannot absorb a transfer rate built for ten. Overnight and weekend volume will convert to booked appointments rather than live conversations, which is a slower path to close.

Many people can tell, often within the first two or three exchanges, and Bigly Sales discloses that the caller is an AI on every campaign rather than trying to pass. Disclosure is both the legal posture, since federal rules treat AI generated voice calls as artificial voice robocalls requiring consent, and the practical one, because a caller who feels deceived complains, and complaints are what get a phone number labeled as spam.

What people notice is less the voice quality and more the handling of interruptions, unexpected topics and follow up questions. A modern voice agent recovers from an interruption and changes subject, which is the difference between a voice agent and a phone tree, and that is usually what convinces someone the call is worth finishing.

The honest trade-off
Some people hang up as soon as they hear it is an AI, and that cost is real. The reason the math still works is coverage and speed rather than persuasion. A lead reached in seconds by a disclosed AI is contacted more often than a lead a human calls back three hours later. If your sales motion depends on relationship and nuance from the first second, this is the wrong tool and you should keep a human on the first call.

Bigly Sales runs up to 1,000 concurrent calls on a single campaign, and concurrency is configurable from about 10 lines upward so a campaign can be throttled deliberately. Inbound calls are handled concurrently as well, which means a sudden rush produces neither a busy signal nor a hold queue.

Concurrency is the structural difference between AI and human calling. A human team’s maximum simultaneous conversations equals its headcount, so a twenty person floor can hold twenty conversations and no more, and a volume spike can only be met by hiring. Plans here are sized by monthly calls or minutes rather than by seats, so a spike costs volume rather than payroll.

The honest trade-off
Maximum concurrency is rarely the right setting. Dialing a list at full speed burns through it in hours, spikes the dial velocity signal that triggers carrier spam labeling, and generates more live transfers than your reps can answer. In practice concurrency should be tuned to your list size, your number pool and your rep capacity, and the ceiling matters far less than the ability to hold a steady rate.

AI calling agents are used most heavily in industries where a lead costs real money and the first company to call usually wins the sale, which in practice means insurance, mortgage and home lending, debt relief, legal intake, healthcare scheduling, auto warranty, real estate, home services, ecommerce, B2B software sales, telecom and education. Bigly Sales maintains dedicated playbooks for those 12 verticals and works with 30 or more enterprise and mid market clients across them.

The common profile matters more than the vertical label. AI calling fits businesses with high lead flow, a phone driven sales process, a high customer lifetime value, repetitive qualification questions and a compliance obligation on every dial. The four most proven categories are insurance, debt relief, home services and auto warranty.

Regulation differs by market and the platform enforces the applicable layer before the call connects. Political and advocacy calls carry disclosure requirements, healthcare outreach carries privacy minimization, and every market inherits the federal baseline plus state calling windows and velocity caps across all 50 states.

The honest trade-off
An unlisted industry is not automatically a bad fit, since agents are built per client rather than from a template, but it does mean nobody has run your call flow before and the script tuning period will be longer. Ask a vendor directly whether they have run calls in your market, and treat a vague answer as a no.

Build on an API if you have dedicated engineers and already own telephony compliance, and buy a managed service if calling is a revenue function rather than a product you are building. The practical test is whether you can staff at least one engineer against the voice stack continuously, because the build is not the hard part and the ongoing operation is.

The line items a build has to cover beyond the API rate are the phone numbers and their carrier registration, reputation monitoring and number rotation, consent capture and Do Not Call scrubbing before each dial, calling window enforcement per state, CRM and lead source integration, live transfer routing, recording and transcript storage, and continuous script tuning against real call outcomes. Developer platforms publish rates from about $0.05 per minute and every item on that list sits outside it.

A managed service folds those into one rate. Bigly Sales quotes $0.061 to $0.12 per outbound call with the build, the numbers, the compliance enforcement and a named account manager included, and reaches a first live call in about 3 days rather than weeks of engineering.

The honest trade-off
Buying means you do not own the stack. You cannot ship a change at 2 a.m. yourself, you depend on a vendor’s roadmap, and switching later means rebuilding elsewhere. Teams that treat voice as a core product should build, and they will get a lower unit cost for it. Teams that treat calling as a channel should buy, because the assembly work never ends.

A managed AI calling service is the wrong purchase for any business under roughly 400 calls a month, because plans start at $2,999 per month and at that volume a per call answering service or one disciplined rep with a phone alert costs less and performs just as well. Volume is the single clearest disqualifier and it is worth checking before anything else.

Four other profiles should also pass.

• Engineering led teams that want to own the voice stack, who will get a lower unit cost and full control from a developer API instead.
• Teams with no clean consent basis for their list, since consent verification runs before the dial and a list without a consent record will not be called.
• Businesses whose first conversation depends on human relationship and nuance, where a disclosed AI on the first touch costs more trust than it saves time.
• Buyers looking for a self serve tool at a low monthly price, since this is a managed service with a build phase and an account manager attached rather than a login.

The fit is straightforward in the other direction. AI calling earns its cost when call volume is already an operational expense, usually thousands of calls or tens of thousands of minutes a month, and when leads are being lost to response time rather than to price.

The honest trade-off
Saying this out loud costs deals, and it is still the right call. A customer who buys at the wrong volume churns in two months and tells people the category does not work. If your numbers do not clear the bar, the useful answer is that you should wait.