By Sagar Shankaran, Founder of CallSphere
Four disposal portals, 1,200 scale tickets a month, no export button. How 2026 computer-use agents pull the tickets and get tonnage overage onto the invoice.
Key takeaways
It is ten to seven on a Tuesday in a nine-truck hauling company outside Columbus, and the office manager is not answering the phone. She is inside the county transfer station's customer portal, filtering yesterday's scale tickets by hauler code, opening each as its own PDF, and copying ticket number, gross, tare and net tons onto a legal pad. Then again on the private Subtitle D landfill's portal. Then the C&D recycler's. Then the material recovery facility's rebate page, which shows inbound tons and contamination percentage one load at a time.
Four sites, four logins, four password rules, one legal pad. By the time dispatch has the trucks rolling she has seventy-five minutes of screen time behind her and a page of handwriting still to be keyed into Soft-Pak before the roll-off invoices release. None of it made a single pull. It is pure translation: moving numbers off somebody else's website into the system that bills your customers and costs your routes.
Every hauler over about four trucks has this person, and every one of them has learned the same thing: the disposal site's portal was built for the site, not for you. No download-everything button. No way to connect it to your billing system. A login, a date filter, and a lot of clicking.
Understand the incentive. The scale house software — WasteWORKS, a Paradigm build, whatever the county bought in 2013 — exists to weigh trucks, apply the tipping fee and print a ticket. The customer portal was bolted on so haulers would stop calling the scale house for copies, and it does that job. There is no version of the world where a county transfer station spends money to make your billing faster.
So the trade built workarounds and called them fine. Some staple every printed ticket to the route sheet. Some have the driver photograph the paper copy in the cab. Some accept the site's month-end statement and never reconcile a ticket against a haul, which means tonnage overage billing depends on whether anyone got around to it. If a 30-yard open top carries four tons included at $75 a ton over and the ticket never reaches the invoice, the customer got the disposal free and you paid the tip fee out of your margin.
The same shape of problem sits on the compliance side. The state's quarterly tonnage report comes out of the same portals — CalRecycle's Recycling and Disposal Reporting System in California, the DEP or DEQ's own web form elsewhere. Someone signs in during the window after quarter close, types totals into boxes, and hopes the boxes match what was billed. Add Federal Motor Carrier Safety Administration Clearinghouse queries for every CDL driver, quarterly IFTA fuel tax filing, and the EPA e-Manifest screens on the weeks you touch a hazardous or universal waste load, and the office is running six or seven portals that will never speak to each other.
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The 2026 development that matters here has an unglamorous name — computer use, or browser use. An AI agent that uses a computer opens the browser itself, signs in with credentials you control, clicks through the menus, reads the screen and copies out what it finds, which means it can work a portal that has no export button and no way to connect to your billing system. It does not need the transfer station's cooperation. It needs a login and instructions, the same two things your billing clerk needs.
That is the difference from the 2024 version. Two years ago this meant paying someone to write brittle code against a specific page, and it broke the first time the county changed a menu. What matured this year is an agent that looks at the page the way a person does and adapts when the layout shifts. Claude Cowork, which arrived 12 January 2026, and ChatGPT Work, which launched 9 July 2026, are both built around handing over a goal rather than a script. The goal here: pull every ticket under our hauler code from yesterday, match it to an open haul, tell me what did not match.
flowchart TD
A["6:15am — agent signs into transfer station portal"] --> B["Pulls yesterday's tickets under our hauler code"]
B --> C{"Ticket number matches an open haul in Soft-Pak?"}
C -->|Yes| D["Writes net tons to the haul, flags tonnage over allowance"]
C -->|No| E["Drops it in the Unmatched Tickets list"]
E --> F["Billing clerk matches it or calls the scale house"]
F --> C
D --> G["Route cost coded, roll-off invoices release at 8am"]
At 6:15 the agent has already been through all four portals. It filtered the transfer station to yesterday, pulled twenty-two tickets, read gross, tare, net and material code off each, and set them against the open hauls. Nineteen matched on ticket number or on container number and truck. Three did not: one cut against a container the driver relocated the day before, one with the wrong hauler code keyed by the scale attendant, one for a load nobody in the office knows about yet.
Those three are what the office manager sees at ten to seven — not seventy-five minutes of clicking, a list of three exceptions with the ticket image attached and the reason each failed. She resolves two in four minutes and calls the scale house about the miskeyed hauler code, a call she would have made anyway three days later with a worse trail.
And nineteen hauls now carry real net tons, so the roll-off invoices that release at eight have the tonnage overage on them — that morning, while the general contractor still remembers the load, not after somebody catches it in the month-end scramble.
The quarterly report gets the same treatment. The agent has been accumulating the numbers all quarter from the same portal visits, so it hands you a filled draft of the state's tonnage report against your own totals, differences listed. You still sign it. You just stop discovering on the last day that the state form and the MRF rebate statement are eleven tons apart.
Illustrative assumptions — run yours: nine trucks, 1,200 disposal tickets a month across four sites, an office manager at $32 fully loaded, 340 roll-off hauls a month of which 38% exceed the tonnage allowance, average overage $58, and 4% of overage-eligible hauls never billed because the ticket was never matched.
| Line | Today | With the agent working the portals |
|---|---|---|
| Portal time, office manager | 75 min/day, 5 days = 6.25 hr/wk | 15 min/day on exceptions = 1.25 hr/wk |
| Annual labor on that task | 325 hr × $32 = $10,400 | 65 hr × $32 = $2,080 |
| Overage never billed | 129 eligible × 4% × $58 = $299/mo | Near zero |
| Annual value of that leakage | $3,588 | — |
| Combined annual swing | about $11,900 before software cost | |
Two honest notes. You do not fire anybody — those 260 hours go into collections calls, worth more on most books than the reconciliation ever was. And check the leakage number first, because you can verify it in an afternoon: pull last month's roll-off hauls and disposal tickets and count how many hauls over the allowance carry no overage line.
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Do not let an agent sign the state report. The quarterly tonnage filing goes in under your permit and your name, and a wrong number there is your problem in a way a wrong invoice line is not. Let it fill the draft and show its work; you press submit.
Same rule on EPA e-Manifest. The Uniform Hazardous Waste Manifest is a signed legal document carrying generator status, waste codes and transporter signatures. An agent can gather the copies and check that what was manifested matches what was hauled. It should not certify anything.
And keep a person on credentials. Give the agent its own login at each site that allows it, not the owner's, so the portal's audit trail shows what the agent did and you can shut it off in one click. Some disposal companies have started writing automated-access language into portal terms; read yours rather than finding out during a dispute.
Pick one portal, not four — the site with the most tickets and the most disputes. Screen-record the exact clicks the office manager makes: login, date filter, hauler code, which column is net tons, where the ticket number lives. That recording is the whole specification. Run the agent read-only for two weeks against the clerk's own match list. When it agrees for ten straight business days, let it write net tons into the hauls, and keep the unmatched list in front of a human forever.
The agent needs a way in, but not your login. Ask each disposal site for an additional user on your account — most scale house systems allow several under one hauler code — and give the agent that one. The site's activity log then shows which user pulled which tickets, and you can kill that user alone.
This broke every earlier attempt and it is the main reason 2026 is different. An agent that reads the screen instead of following a memorized path usually finds the moved menu itself. When it cannot, it should stop and tell you. Test that: change a filter on purpose and see whether it invents a number or raises its hand.
Less so. The value scales with the number of separate logins and the tonnage you pass through to customers. A residential-only hauler with flat cart rates and one disposal site gets far less than a roll-off shop billing overage across four. If disposal is a fixed monthly cost that never touches an invoice, spend your first automation dollar elsewhere.
It fixes the missing-ticket part, which for most shops is the single biggest cause of the delay. It does not fix disputed tickets, credits, or the customer who says the container was half full. Those still land on a person, and they should.
Once tonnage overage lands on invoices the same week the haul happened, one thing goes up: calls asking what the new line is. CallSphere builds AI voice and chat agents that answer the business line and web chat around the clock — taking the 6:40pm roll-off order, capturing the account and container number on a billing question, and booking the callback with your billing clerk. It does not touch the scale house. It handles the phone the scale house work creates.
Written by
Sagar Shankaran· Founder, CallSphere
LinkedInSagar Shankaran is the founder of CallSphere, where he builds production AI voice and chat agents deployed across healthcare, hospitality, real estate, and home services. He writes about agentic AI, LLM engineering, and shipping voice agents that handle real calls in production.
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