Replace $50,000 a month
of front-office payroll
Operon answers every call in under a second, books against your real capacity, and follows up on every lead. It does the work of a fifteen-person phone team, at any hour, in nine languages, without a single seat of payroll.
Trusted by operators running 4,100+ locations
Payroll our customers have saved
$18,000,000.00
+$10,000 a day, and counting
One agent, the whole front office
Everything a caller needs, on the first ring, written into the systems you already run.
Every call, on the first ring, at any hour. A voicemail costs you the job; eight tenths of a second does not.
+112 moreTake $50,000 a month off your payroll and book more work than you do today
A ten-seat front office costs about $50,000 a month once you count payroll tax, benefits, software, turnover, and the supervisor who manages it. Operon absorbs the work that team does all day: answering, qualifying, booking, confirming, rescheduling, and following up.
You keep the people who handle escalations and relationships. Everything else runs itself, at three in the morning, on a holiday, during the storm week when volume triples.
- No hiring, no training cycle, no turnover, no call-outs
- Answers 100% of calls at 2am the same way it does at 2pm
- Scales to 3x volume in a storm week with no surge pricing
- Every conversation logged, scored, and attributed to revenue
Operon$2,879One layer in the middle of everything you already run
Operon sits between the phone and your stack, reading live state out of every system and writing the outcome back into all of them. Native and bidirectional, not a nightly export and not a Zapier chain that breaks on a Sunday.
Model responses, tool calls, and structured extraction
Prompts scoped to your Brain, zero retention, and much more
Hover any system to see what moves in each direction. Everything shown here is a native connection, not a middleware chain.
Everything we connect to
Native and bidirectional. Filter by category or search by name.
SalesforceHubSpotIntercom
Zendesk
CalendlyGoogle Calendar
Google Sheets
Google DriveGmail
Asana
Notion
Airtable
ZoomSlack
WhatsApp
Instagram
Messenger
Meta
LinkedInStripe
Square
PayPal
AdyenQuickBooks
XeroOpenAI
Claude
Gemini
Snowflake
BigQuery
Databricks
PostgreSQL
Google Analytics
Mailchimp
Zapier
Make
Typeform
Webflow
WordPress
ShopifyShowing 40 of 40 shown here. The full directory runs to 120+.
Operon books into the calendar you already have
Not a request form and not a callback list. Operon writes the appointment straight into your system, against live capacity, skill tags and drive time.
Put your own payroll in and watch what happens
Six inputs, no email gate, no sales call. The model is deliberately conservative and every assumption behind it is published.
Your operation
Six inputs. Everything else is modeled from deployment data across 4,100+ locations.
Receptionists, schedulers, dispatchers, and after-hours answering staff.
Base pay plus payroll tax, benefits, software, and supervision. Typically 1.3x base.
Across all locations and all channels that ring a phone.
Industry median for local service businesses sits between 27% and 41%.
First-transaction value, not lifetime value. Keeps the model conservative.
How often a properly handled inbound call turns into booked work.
- Front-office payroll today10 seats at $60,000 loaded
- $50,000
- Payroll Operon absorbs85% displacement, escalation staff retained
- + $42,500
- Margin on recovered work219 extra jobs from 1,350 missed calls, at 45% margin
- + $51,151
- Operon on Growth$1,499 a month + 11,500 minutes past the allowance at 12¢
- − $2,879
- Net monthly
- $90,772
We rebuild this from your actual call logs and payroll during the demo. No spreadsheet homework. See pricing
Your phone is the most expensive thing in your business, and nobody is watching it 24/7
Until now, the only way to cover it was payroll. We analyzed 11.4 million inbound calls across 4,100 locations, and the pattern is the same everywhere, in every vertical, at every size.
One week of inbound volume at a six-location operator. Bar height is calls offered; the filled portion is calls actually answered.
Cumulative spend across one year at a six-location operator. Same work answered, same calls booked. The shaded area is the difference you keep.
Hiring does not fix it
A new receptionist costs $4,800 to recruit and eleven weeks to reach full productivity. Median tenure in the role is fourteen months. You are always training someone.
Answering services do not either
They take a message. They do not know your pricing, cannot see your schedule, and cannot book. You still pay someone to call every one of those people back tomorrow.
Phone trees make it worse
Every menu layer drops 12% of callers. An IVR is a machine that converts paid leads into abandoned calls, and it has been the default for twenty years.
Four windows, one customer, and nobody holding the thread
A calendar in one window, an inbox in another, a call log nobody reads, and a CRM somebody updates on Friday. Every handoff between them is a place work goes missing.
Operon collapses the lot. The call is answered, the job is booked against real capacity, the confirmation goes out, and the record is written, in one pass, without anyone switching windows.
- One customer record across phone, text, email and social
- One place the outcome of every conversation is written
- No tab left open waiting for someone to get back to it
OperonFour agents on one brain
Not four tools you integrate. One system that shares context, so the agent that answers the call is the same one that confirms the appointment and follows up on the quote.
Answers in 0.8 seconds, every time
Real conversation with a 380ms median response. Handles interruptions, accents, a compressor running in the background, and callers who change their mind mid-sentence.
Every answer is traceable to a source you control
When the agent quotes a price or states a policy, the transcript records which document produced it. You do not have to guess where a wrong answer came from. Click it, fix the source, and the correction reaches every agent in thirty seconds.
- No retraining cycle and no waiting on a vendor to push an update
- Per-location overrides for hours, pricing, and escalation policy
- Version history on every fact, with who changed it and when
- Gap detection flags questions your Brain could not answer
Live in under a week, not a quarter
We do the work. You approve it. The longest step is usually your phone carrier releasing the number.
We learn your business
A deployment lead pulls your pricing, service areas, hours, insurance participation, and escalation rules into the Brain. We listen to fifty of your real calls to match how your best people actually talk.
Connect and rehearse
Native integration with your scheduling and CRM systems, then a shadow period where the agent handles simulated and low-risk live traffic while you review every transcript.
Go live, then expand
Start with after-hours and overflow, where the alternative is voicemail. Expand to full coverage as you get comfortable. Most teams are at 100% within three weeks.
Business owners do not switch back
Numbers from live deployments, measured against the ninety days before Operon went live.
We were running eleven people across two call centers just to answer the phone. Nine months in, that team is four people who handle escalations, and we book 22% more jobs than we did with eleven.
The first week it caught a call at 11:40 on a Sunday night from a patient with a broken retainer. Booked her for Monday at 8. That single call paid for the month.
I have run answering services, offshore teams, and two other AI vendors. Operon is the first one that actually knew our pricing well enough that I stopped listening to the recordings.
Rollout across 34 locations took eleven days. The part I did not expect was the reporting. I finally know which marketing spend produces booked revenue and which produces ringing phones.
We were running eleven people across two call centers just to answer the phone. Nine months in, that team is four people who handle escalations, and we book 22% more jobs than we did with eleven.
The first week it caught a call at 11:40 on a Sunday night from a patient with a broken retainer. Booked her for Monday at 8. That single call paid for the month.
I have run answering services, offshore teams, and two other AI vendors. Operon is the first one that actually knew our pricing well enough that I stopped listening to the recordings.
Rollout across 34 locations took eleven days. The part I did not expect was the reporting. I finally know which marketing spend produces booked revenue and which produces ringing phones.
Intake used to take my paralegals four hours a day. Now they read a structured summary with the conflict check already run and decide whether to take the case.
Our no-show rate was 19%. Operon confirms, reschedules, and refills the slot without anyone touching it. We are at 6% and the schedule stays full.
We stopped paying an answering service $4,100 a month to take messages we then had to call back. Operon just books the job while the customer is still on the phone.
Two of my locations were underperforming and I assumed it was demand. The reporting showed both were losing calls at the same two hours every day. It was a staffing problem I could not see.
Intake used to take my paralegals four hours a day. Now they read a structured summary with the conflict check already run and decide whether to take the case.
Our no-show rate was 19%. Operon confirms, reschedules, and refills the slot without anyone touching it. We are at 6% and the schedule stays full.
We stopped paying an answering service $4,100 a month to take messages we then had to call back. Operon just books the job while the customer is still on the phone.
Two of my locations were underperforming and I assumed it was demand. The reporting showed both were losing calls at the same two hours every day. It was a staffing problem I could not see.
I was the after-hours line for nine years. My phone does not ring at midnight anymore and the work still gets booked.
Our Spanish-speaking patients used to wait for a callback from the one bilingual person on staff. Now they get answered in Spanish immediately, at any hour.
The database audit found $600,000 of unbooked estimates sitting there. We had been buying leads while ignoring the ones we already paid for.
My paralegals were terrified it would give legal advice. Six months in, it has never once tried. It gathers facts and stops.
I was the after-hours line for nine years. My phone does not ring at midnight anymore and the work still gets booked.
Our Spanish-speaking patients used to wait for a callback from the one bilingual person on staff. Now they get answered in Spanish immediately, at any hour.
The database audit found $600,000 of unbooked estimates sitting there. We had been buying leads while ignoring the ones we already paid for.
My paralegals were terrified it would give legal advice. Six months in, it has never once tried. It gathers facts and stops.
We are answering a call somewhere right now.
We run across 4,100+ locations in North America, on the same brain, in nine languages, at every hour of the day.
What you are actually choosing between
Every option here is real and every one of them works for somebody. Here is where the lines actually fall.
| Capability |  | In-house team | Answering service | Generic AI chatbot |
|---|---|---|---|---|
| Answers 100% of calls, 24/7 | ||||
| Knows your pricing and policies | Partial | |||
| Books into your live schedule | ||||
| Handles voice, not just chat | ||||
| Scales 3x in a storm week | Partial | |||
| Follows up on dead leads | Rarely | |||
| Call-level revenue attribution | ||||
| Typical monthly cost at scale | $10,000 | $50,000 | $4,100 | $800 |
| Time to full capacity | 6 days | 11 weeks | 2 weeks | Instant |
Honest with your callers, careful with your data
Every caller hears up front that they are talking to an AI, and every company works in its own isolated workspace. What is listed here is in place today, not on a roadmap.
- The agent says it is an AI at the start of every call
- Every caller is told about recording up front
- Call recording can be switched off for your company
- Conversations run on Claude, the model built by Anthropic
What owners ask before they sign
The hard ones, answered plainly. If yours is not here, ask it on the demo call and we will answer it there.
Yes, and by design. At the start of every call, Operon says it is an AI and tells the caller about recording. In blind post-call surveys across 180,000 calls, 71% of callers rated the interaction better than their last experience with a human answering service, and the ones who noticed did not care once the appointment was booked.
It says so and escalates, rather than guessing. You set the escalation policy: warm transfer to a specific person, a callback commitment with a time window, or a ticket in your system. Every unanswered question is logged as a gap in your Brain so you can close it once and never see it again.
Most single-location businesses are live in 4 to 6 business days. Multi-location groups average 11 days for a full rollout. The long pole is almost always your phone carrier releasing the number, not us. We handle the port and the configuration.
No, and we do not recommend it. Every deployment keeps a human path for escalation, complaints, and high-value negotiation. The typical outcome is that a large phone team becomes a small escalation team, and the people who stay do work that is harder to automate and better paid.
It cannot. Operon writes into your scheduling system in real time against actual capacity, skill tags, and drive time. If there is no slot that satisfies your rules, it does not offer one. It offers the nearest option that does.
It stays yours, inside your own workspace. No other company can see it, and each person on your team gets a role, owner, admin, operator, or viewer, that sets what they can touch. Connections to the console are encrypted with TLS, the credentials for your connected tools are encrypted in our database, and actions in the account go into an audit log.