AI receptionist
Answers every call on the first ring, qualifies the caller, books what it should, and texts you a summary.
They answer the phone, book the jobs, reply to the inbox and chase the leads, inside the tools you already use. Built for you, not rented off a shelf.
Quoted before you commit · No technical team needed
Each one runs on your data inside the tools you already use. These are example conversations. Start with the one that eats the most of your week.
Answers every call on the first ring, qualifies the caller, books what it should, and texts you a summary.
Takes requests by text, email or web, checks real availability, books, confirms and reschedules.
Finds the answer in your docs and order history and replies in your voice. Hard ones go to a person.
Finds companies that match your best customers, verifies the contact, and drafts an opener.
Reads invoices and POs, checks them against what you expected, and posts them. Flags only what's wrong.
Pricing rules, warranty terms, which vendor. Answered from your own files, with the source cited.
Something else eating your week? That's usually where we start. Tell us what it is
Tell us the job in your own words. We turn it into an agent with written rules: what it handles alone, what it hands back, and where it writes.
“Answer the phones after 6pm. Book real jobs into the shared calendar, and text me anything over $2,000.”
Nothing new for your team to learn. You get a written list of every system the agent can read from and write to, and you can revoke any of it in an afternoon.
Replies, drafts and triage in the mailbox your customers already write to.
Gmail · Outlook · help desksBooks against real availability and writes straight to the calendar you check.
Google · Outlook · CalendlyCustomer records, jobs and invoices stay where your team already looks for them.
Jobber · HubSpot · QuickBooksYour existing number. Every call transcribed, summarized and logged.
Existing number · SMSEvery agent starts in shadow mode: it drafts, your team sends, until its judgment matches theirs. After that it only asks when it hits a line you drew.
Four stages, each agreed in writing before it begins.
Two days with your team, following the work. You get a written map of every process worth automating, ranked by hours returned.
We pick one process and spec the agent: what it decides alone, what it escalates, and how we'll know it's working.
Built on your data and run in shadow mode beside your team until its judgment matches theirs. Then it goes live.
We watch the escalation rate, retrain on the exceptions, and send a monthly note on what it handled and handed back.
Once the first agent is live, the next one starts again at 01.
Baselined in week one, before anything is built. They tell you whether the agent is doing its job.
The share of work the agent handles end to end, with nobody on your team touching it.
How fast a customer hears back, measured at 2am and at Monday lunchtime.
Time handed back to your team each week, against the baseline we took first.
How often it correctly hands over. Movement here means retrain, not failure.
A one-time build, then a monthly retainer that covers running, monitoring and refinement. Both quoted before you commit, scoped to the process. No seat licences, no usage billing. Every agent after the first costs a fraction of the first, because the integration work is already done.
Into your own accounts. We build inside your cloud and your existing tools, we don't train models on your content, and you get a list of every system the agent can touch.
Every agent has a written escalation boundary, agreed before we build. It runs in shadow mode until its judgment matches your team's, and every action is logged and reversible.
No. You need one person who knows the process well enough to say when the agent is wrong. We handle integrations, hosting, monitoring and upkeep.
Twenty minutes on a call. Tell us the work that keeps coming back and we'll tell you straight whether an agent can take it. If the answer is no, we'll say so.
dothan@trygroundworksolutions.com