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AI sales agents that answer, qualify and follow up every lead in seconds — 24/7, while your team closes
Direct answer: An AI sales agent is software that works your inbound leads the moment they arrive. It replies by text or email within seconds, asks the qualifying questions your best rep would ask, books a time on a real calendar, chases no-shows and writes everything back to the CRM. It never sets prices, offers discounts or agrees terms; those go to a person. We build each one custom, wired into the tools you already run, and judge it on booked calls and revenue per lead rather than message counts.
Your people should spend the day closing. The agent spends the night making sure there is somebody to close.
- 2:07 a.m.Quote request arrivesWebsite form, ad lead or missed call
- 2:07 a.m. +12 secAgent texts backNames the job, offers a next step, in your voice
- 2:09 a.m.QualifiedScope, timing, budget band and ZIP code
- 2:11 a.m.Booked on your calendarTuesday, 9:30 a.m. with the sales lead
- 9:30 a.m.Your rep closesOpens the call with a summary of every answer
The money leaks in the hour after a lead arrives
Most businesses buy leads in daylight and lose them at night. Forms get filled in at 9 p.m. once the kids are asleep, quote requests land on Sunday afternoon, and a missed call at 6:15 p.m. turns into a voicemail nobody returns until Tuesday. By then the buyer has spoken to whoever answered first, and that company set the price everyone else is compared with.
Our speed-to-lead calculator models how quickly the odds fall. On its deliberately cautious curve, a lead reached inside five minutes is worth several times one reached the next morning. The other half of the leak is the phone: if inbound calls are not tracked, you cannot see how many ring when nobody is at the desk, which is why we usually start by measuring call conversion rate before anything gets automated.
Hiring a night shift rarely pays for a business with a few dozen leads a month. A sales agent does. It does not get tired at 2 a.m., it does not let a Saturday enquiry sit until Monday, and it passes a warm, booked conversation to someone who is awake and ready to sell.
What the sales agent does
Each job below is a separate, narrow task with its own rules. We switch on the ones your pipeline needs and leave the rest off.
Instant reply by text and email
Within seconds of a form, chat, ad lead or missed call, the lead receives a personal message that names what they asked about and proposes a next step. You approve the wording before launch.
Qualifying questions
Two to five questions your strongest closer would ask: what, where, when and roughly how much. Answers are scored against rules you set, so a ready buyer and a browser are routed differently.
Booking on the real calendar
Qualified leads choose a slot from live availability in Calendly, Google Calendar, Outlook or your CRM scheduler. No more "someone will reach out shortly".
Nurture sequences
Not ready yet? The agent follows a cadence you sign off on, such as a useful answer on day two and a check-in on day seven, and stops the moment the person replies or opts out.
No-show recovery
Reminders go out before every appointment. When someone misses one, a reschedule offer arrives within minutes, while the intent is still warm.
Reactivating old leads
Your CRM holds hundreds of people who asked once and went quiet. The agent works through them in small batches, only where consent exists, and books the ones who are ready now.
CRM updates
Every message, answer, stage change and booking is logged on the contact record, so nobody asks the same question twice and the pipeline report reflects reality.
Call summaries
After each call or chat, the rep gets a short brief: what the prospect wants, objections raised, anything promised and the agreed next step.
What it never does without a person's approval
- Price promises. It can quote the published range you give it. A final number comes from a person.
- Discounts, credits or free extras. Any request for a deal is flagged and handed over.
- Contracts, refunds and cancellations. Terms are agreed by a human, every time.
- Messaging anyone who opted out. Opt-outs are permanent until the person opts back in.
- Legal, medical or financial advice. Out-of-scope questions go to your team with the context attached.
When a conversation crosses one of those lines, the agent pauses the thread, alerts the right person and tells the lead that someone will confirm.
Leads you lose after hours: the calculator
Enter your own numbers. The model only touches leads that arrive outside business hours and asks one question: how much of their value survives the wait until somebody replies?
Show the chart as a table
| Reply time | Deals a month | Revenue a month |
|---|
How it plugs into the stack you already have
No new dashboard to learn. The agent lives inside the systems your team opens every morning, and it is coded against each tool's official API with only the access each task needs.
HubSpot
Contacts, deals, pipeline stages, tasks and meeting links.
GoHighLevel
Contacts, opportunities, calendars and the conversations inbox.
Salesforce
Leads, opportunities, activity history and assignment rules.
Calendly
Live availability, booking, reminder and reschedule links.
Twilio
SMS and voice on registered business numbers, with STOP handling.
Gmail and Outlook
Email from your own domain, threaded replies, drafts held for review.
Running something else? Ask. Most CRMs and schedulers expose the same basics. Whatever we build, you own: the code, the prompts, the message templates and the accounts it runs in.
How we measure it
An agent that sends thousands of messages and books nothing is noise. These four numbers decide whether it stays switched on.
Median seconds from lead to first reply, plus the share answered inside a minute, day and night.
Share of new leads that book a call, visit or demo without a person chasing them.
Share of booked appointments that actually happen, which is where reminders and rescheduling earn their keep.
Closed revenue divided by leads. The number that pays for the agent, or does not.
We also report how often a person had to take over and how many people opted out, because an agent that irritates prospects costs money even when bookings look healthy.
Humans in the loop, and the rules for texting leads
Automated texting is regulated, and the rules protect your reputation as much as the customer. Every agent we ship follows these by default.
- Consent before the first text. Messages go only to people who agreed on your form, with wording that mentions automated texts. Under the Telephone Consumer Protection Act (TCPA), that consent matters; we draft the line with you.
- Opt-outs honoured at once. STOP, "unsubscribe" or "please stop texting me" ends messaging immediately and is written back to the CRM so no other tool restarts it.
- Quiet hours for outreach. Nurture and reactivation messages go out only in the recipient's daytime. A reply to someone's own enquiry can go straight away, because they just asked.
- Registered sending. Business texting in the US runs on numbers registered for A2P 10DLC, which carriers require and which keeps messages from being filtered.
- A kill switch and a takeover button. One toggle pauses the agent; any rep can step into any thread and the agent goes quiet.
- An audit log. Every message is stored with what the agent knew when it sent it, so a question about any conversation has an answer.
This is how we work, not legal advice. For healthcare, finance, legal and other regulated fields we review the messaging rules with your counsel before launch.
Why most sales agents disappoint, and how ours are built
Gartner predicted in July 2026 that by 2028 AI agents will outnumber sellers ten to one, yet fewer than 40% of sellers will say those agents improved their productivity. The same release found that leaders who fix data, automation and user experience first are five times more likely to see a return. That matches what we find in audits: an agent bolted onto a messy CRM sends confident messages to the wrong people at the wrong time.
Most companies are still at the testing stage. McKinsey's State of AI 2025 report found 62% of organizations experimenting with AI agents, but only 23% scaling an agentic system in at least one function.
Show the chart as a table
| Organizations | Share |
|---|---|
| Experimenting with AI agents | 62% |
| Scaling an agentic system in at least one function | 23% |
So we build in this order, and we do not skip steps:
- Clean the lead data: one record per person, consistent fields, sources labelled.
- Write down the follow-up your best rep already does when they have time.
- Automate exactly that, narrowly, and run it in shadow mode where a person approves each message.
- Put a human on every decision that costs money.
- Measure revenue per lead for a month, then widen what the agent is allowed to do.
Scout, the assistant on this site, is one we coded ourselves and run every day. It is a scripted, rule-based assistant rather than a large language model, and we say so plainly because the right tool is often the simplest one that cannot wander off-script. Your sales agent might use a language model to draft replies, fixed rules for anything touching money, or both.
What an AI sales agent costs
We have not published our own agent prices yet, so here are the market ranges agencies published for 2026, with the sources underneath.
Show the ranges as a table
| Item | Published range |
|---|---|
| Simple single-task agent (build) | $5,000 to $25,000 |
| Custom integrated agent (build) | $15,000 to $75,000 |
| Production multi-agent system (build) | $100,000 to $450,000+ |
| Hosting and model usage, lightweight | $50 to $300 a month |
| Maintenance | 15 to 30% of the build a year |
Running costs sit apart from the build: lightweight hosting and model usage typically run $50 to $300 a month, and maintenance is commonly 15 to 30% of the build cost per year, covering monitoring and updates whenever a connected tool changes.
Every Search Converts agent is quoted as a fixed price after a free 30-minute workflow audit — no hourly meter. Most single-task agents for small businesses land at the low end of these ranges. An agent that replies, qualifies and books is usually a single-task build.
AI sales agent questions
What is an AI sales agent?
Software that handles the first steps of selling to an inbound lead: an instant reply by text or email, a few qualifying questions, booking a time on a real calendar, reminders and follow-up, and logging everything in the CRM. A person still runs the sales conversation and makes every decision about price and terms.
Will an AI sales agent replace my sales team?
No. It takes the repetitive first touch and the chasing off their plate so they spend more of the day in real conversations with qualified buyers. Pricing, negotiation, contracts and relationships stay with people. Most owners use the time it frees to close more, or to get evenings back.
How fast does it reply to a new lead?
Usually within seconds of the form, ad lead or missed call, at any hour. We report the median reply time and the share of leads answered inside a minute so you can check it rather than take our word for it.
Does it work with my CRM?
We regularly connect HubSpot, GoHighLevel, Salesforce, Calendly, Twilio, Gmail and Outlook. Other CRMs and schedulers usually expose the same basics through an API. The agent writes every message, answer and booking back to the contact record.
Is it legal to text leads automatically?
It can be, when it is done properly: consent captured on your form with wording that covers automated texts, opt-outs such as STOP honoured immediately, quiet hours for outreach and registered A2P 10DLC numbers. The TCPA sets the rules in the US. We are not lawyers, so for regulated industries we review the setup with your counsel before launch.
What happens when a lead asks about price or a discount?
The agent can share the published price range you give it, nothing more. Any request for a final quote, a discount, a refund or different terms is flagged to a person, and the lead is told someone will confirm.
How long does it take to launch?
A single-task agent usually goes from audit to live in a few weeks. We map your current follow-up, build it, test it on your own team, then run it in shadow mode where a person approves each message before it sends. It goes fully live once the messages are consistently right.
What does an AI sales agent cost?
Agency-published 2026 ranges run about $5,000 to $25,000 for a simple single-task agent and $15,000 to $75,000 for a custom integrated one, plus roughly $50 to $300 a month to run. Every Search Converts agent is quoted as a fixed price after a free 30-minute workflow audit, with no hourly meter.
Get a free workflow audit
Thirty minutes on a call. We look at where your leads come from, how fast they are answered today, what your CRM can and cannot see, and which one agent would pay for itself first. You leave with a written plan and a fixed quote, whether or not you hire us.
- Your current response time, measured
- The follow-up steps worth automating, and those to keep human
- A fixed price, not an hourly estimate
Related pages
The measurement and response work that usually comes before, or alongside, a sales agent:
- Speed-to-lead calculator — what each minute before a callback costs at your numbers.
- Call conversion rate — how to count the calls your pages create, including the ones nobody answered.
- Lead generation — fixing lead response before buying more traffic.