Every route.Every customer.One answer away.
PestRoutes, phones, and trucks in one place. Ask it anything.
EvereeREAD-ONLY BETA
BigQuery
Postgres
Google Sheets
Something else? Build the connector in Topline.
Your answers are split across six screens.
PestRoutes has the customer. Five9 has the call. Motive has the truck. The question that matters, why did we lose that account, needs all three, so nobody asks it.
PestRoutes gives you records, not answers.
AI can pull records and join customers, subscriptions, appointments and technicians. That works for a small lookup. But with gigabytes of history across many tables, a broad question can mean fetching page after page, matching records and calculating results. API limits can stop the work before the answer is complete.
Topline syncs the data you approve into a database in your own cloud account and keeps that copy up to date. AI queries that database to join tables and calculate answers, so each question doesn't need another bulk pull from PestRoutes.
What changes in the first week.
Ask the question your CRM can't.
"Which techs are we losing customers behind?" is one question in Topline chat. Dashboards built by people who ran routes are in your account the day you connect.
- Cancels by reason, by tech, by branch.
- Production per tech, per day.
- First-visit rate and what follows it.
Book by drive time.
Ask for openings at an address and Topline ranks real technician slots by the drive against routes already booked, then writes the appointment back to PestRoutes. Anyone in the office can do it.
- Searches that found nothing: the demand you turn away without seeing it.
- Slots offered and days to the first: how far out you really are.
- Bookings written straight into your CRM.
One technician's Tuesday, re-sequenced against real drive times rather than the order the calls came in.
Ask a question. Build a tool. Make it yours.
This is what a Tuesday looks like. Someone in the office asks about overdue accounts, gets a dashboard instead of a spreadsheet, and then changes it by asking again.
MEMORY
Talk to the company, not up the chain.
Generic AI remembers a chat. Topline remembers the company.
Three levels, not one pile.
Yours, your team's, the company's. Nothing moves up a level until someone approves it.
One brain, every tool.
Slack, Google Chat, Claude Code, Codex. Same memory, same answer, whichever model you ask.
Your words mean one thing.
Define "callback" once. Every person and every assistant reads it the same way.
Warm from the first question.
It follows you across threads, so the next session starts where the last one stopped.
Yours stays yours. Personal never shows up in someone else's chat. Company never leaves your company.
Ask from wherever you already are.
Ask a question and follow up in Slack or Google Chat. These examples use sample data.
Ships with every account. Nothing to add on.
Sign-in comes standard.
Every app you build opens behind Topline sign-in. Add a name to let someone in. Nothing to set up.
Ask Topline where your office already talks. Same answers, same brain.
Keep the AI your team already uses. It plugs into the same company brain.
Cancel rate means one thing, company-wide, and you decide what.
Everyone asks. The people you choose build.
Connecting changes nothing in PestRoutes. Writes happen only through tools you approve.
Already have reporting elsewhere? We mirror it in and it keeps working.
Set up in an afternoon. Yours from day one.
Never used it? We show you where it lives.
Every screen, kept current.
One question, answered across every system.
You pay Topline for the chat and build tools. Leave, and you keep all of it.
Keep Claude, ChatGPT, Slack, or Google Chat. They all plug in.
KNOWLEDGE BASES
One reviewed collection. Shared with the people and tools you approve.
Turn field manuals, service procedures, or training documents into a customer-owned Knowledge Base. Each collection has its own published release. Company Knowledge holds organizational context and product memory; chat memory holds conversation context. Neither is a substitute for a published Knowledge Base.
Review, then publish
Collect documents, validate a candidate, and review it before publishing. Draft edits and refreshed imports stay out of the live release until you publish again.
Deliver authorized HTML
Serve the published collection as readable HTML to the audience you choose. Publishing does not automatically make an endpoint public.
Connect an artifact app
Bind a normal artifact app to the live collection with an exact grant for that app, included in the published release. Its viewers still need authorized access.
Equip approved agents
Let approved Topline agent workflows browse, search, or read the same published source through only the operations you grant.
A technician reads an authorized HTML page. A private manual-finder app opens the cited procedure. An approved Topline agent searches that same release. Your next draft stays separate from all three.
Hosted MCP artifacts cannot directly declare Knowledge Bases. Use a normal artifact app binding or an approved Topline agent connection.
Read the Knowledge Bases guideA company with numbers is worth more.
Buyers pay for what you can prove. Retention by signup year, production by tech, drive time per stop. Numbers you can show, not describe.
Churn by signup year, by tech, by branch.
Explore it yourself, not through somebody else's monthly report.
Buyers pay more for a company that runs on its numbers.
Everything above runs today. The call center suite is still in build.
Start with a call.
We look at what you run, tell you what it would cost for a company your size, and show you your own data inside Topline before you commit to anything.
Book a callWe will come back to you to set up the call. Nothing is created and nothing connects to your CRM until you say so.