Workflow Automation
AI Report Automation for Retail
Assembles recurring reports from multiple sources on a schedule, adapted for Retail teams that compile store sales and stock reports across locations.
Workflow Automation
AI Web Task Agent
One defined web task, a lookup, a form check, a status pull, done reliably on schedule, without a person doing it manually.
There is probably one web task someone on your team does over and over: checking an order status on a supplier portal, looking up a registration, confirming a form went through. This agent takes that one task and runs it on the schedule you choose, records the result every time, and flags any run that fails. You decide where a person must approve before anything is submitted.
- Runs your one defined web task on a reliable schedule
- Records the result of every run in your own systems
- Reports failed runs, so nothing is silently skipped
$5,900
20–30 working days
Optional maintenance $295/mo
What it is
AI Web Task Agent performs one clearly defined, repeatable task on the web, a lookup, a form submission, a status check, on the schedule you choose, and logs the result every time it runs. If a run fails, it reports the failure instead of skipping it quietly.
Why businesses buy it
A small repeated check looks harmless until you add up the hours, or until the day it gets missed because someone was busy. Late status checks mean late orders, missed renewals and customers chasing you for answers. This agent does the task the same way every time, writes the result where your team already looks, and tells you the moment a run fails. The fixed scope names the task, its variations, the connected systems and the approval steps up front, so there are no surprises in what gets built.
Problems this solves
Someone checks the same status page by hand every morning
The agent performs one clearly defined web task, such as a status check, on the schedule you choose. It logs the result every time, so nobody has to remember to look.
Routine web checks quietly stop when the usual person is away
Scheduled runs carry on whoever is in the office. If a run fails, the agent reports the failure on your channel instead of skipping it without a word.
Lookup results get jotted down and never reach the right system
Results from each run can be written to one of your connected systems with read and write access. The data lands where your team works, not in a notebook.
It is hard to show a routine web check actually happened
Every run is logged with its result, giving you a dated record of each lookup, submission or check. That makes audits and staff handovers simpler.
A good fit if
You have one specific repeatable task, such as checking a portal for a status update or submitting the same short form, done by hand on a schedule.
The task is well defined, with clear steps that do not change from run to run, rather than a task that needs judgment each time.
You want the result logged automatically, whether that is a status, a number, or a confirmation, without someone copying it into a spreadsheet.
You would rather start with one reliable task done well than a broader browser capability you do not need yet.
Not the right fit if
You have several distinct browser-based processes to automate, not just one. See AI Browser Automation Agent, which covers up to six workflows.
You want the page watched for changes rather than a task performed on it. See AI Website Monitoring.
The task needs research and comparison, not a fixed repeatable action. See AI Supplier Research or AI Market Research Agent.
Your task changes shape from run to run and needs judgment calls each time. Add a note at checkout for a Change Quote, or use our Custom AI enquiry form.
How it works
- You define the one task precisely. The exact steps, which site, which fields, what counts as success, are mapped out during intake, along with up to six variations if the task has minor branches.
- The agent runs it on your schedule. Daily, weekly or another cadence you set, the agent opens the site and works through the same defined steps each time.
- The result is captured, not just the action. Whether the task ends in a status, a number, or a confirmation, that result is recorded automatically.
- Your approval rule applies where you set one. A step you mark as needing sign-off, such as a submission with a cost attached, pauses for the approver you named.
- Every run is logged for review. What happened, when, and what result came back is kept so you can check the history without re-running the task yourself.
- A failed run is reported, not silently skipped. If the site is down or the task cannot complete, you are told, rather than getting a blank result.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- Admin or API access to the site or system the task runs against, with sandbox or test records if you have them.
- Your rules for the task, such as what counts as success, and any approval limits that apply.
- Ten real examples of the task being done, such as screenshots or a written walkthrough of the steps.
- The name of the approver for any step that needs a person before it completes.
- Admin access and any API keys for connected systems, shared by adding our team as a user or creating a key you control, never by email.
- Your business information (company basics, hours and brand voice), shared during intake.
- One decision-maker who can approve the task definition during intake.
- An API key for your own AI model account (for example OpenAI or Google Gemini), created for this build with a spending limit.
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.
Timeline
Start
Intake confirmed and the exact task, steps and success criteria agreed with you.
Weeks 1–2
The task logic, result capture and any approval gate are built and tested against a sample run.
Week 3
The connected systems are linked with read and write access and tested against sandbox or live records.
Weeks 3–4
Fifty documented test scenarios run against the defined task, and you receive the results.
Week 4
You review the test runs and we complete two rounds of changes to the steps or success criteria.
Go-live
The agent goes live, the recorded 60-minute handoff session runs, and 30 days of support begins.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $5,900 |
| Express | 15–25 working days | $6,800 |
| Rush | 10–20 working days | $7,650 |
What you receive at handover
- AI Web Task Agent deployed in your environment, running your chosen task on schedule
- Workflow, prompt and guardrail configuration, including failure reporting
- Connections to up to two agreed systems with read and write access
- A test report covering the agreed scenarios
- An admin guide and a recorded handoff session
- 30 days of post-launch support
Expected benefits and how to measure them
- Can take a dull, repeated check off someone's daily list.
- Helps make sure failed checks get noticed rather than missed.
- Makes a dated record of every run available to the team.
- Staff time spent on the task
- Log the minutes spent each week before launch. Compare with any time spent reviewing results after.
- Missed or late checks
- Compare gaps in your manual records before launch with gaps in the run log after.
- Failures reported and resolved
- Count failure reports in the run log each month. Note how long each took your team to fix.
Before you start: Write down the exact task, how often it runs now and how long it takes. Note how many times it was missed recently.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
Running this month to month costs roughly $50 to $250, covering AI model usage and hosting, on top of whatever you already pay for the system the task runs against. How often the task runs is the main thing that moves this figure.
The build price is one-time. Usage during build, testing and afterward bills to your own accounts, so the provider relationship stays in your name.
Ask about running costsCustom requirements
If your task needs more than six variations, write access to more than two systems, or turns into several distinct tasks rather than one, add a note at checkout. You get a written Change Quote. Your original order keeps its normal timeline either way. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionKeep it running
For this build we recommend monthly maintenance, with change hours for adjusting the task as the site it runs against changes. Maintenance starts once the 30 days of included support ends.
$295/mo (5% of the build price a month, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance worksHow this compares
| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A task-automation tool bills monthly per run or per bot | An agency quotes a single automated task after a discovery call | Ours is one fixed price, shown on this page before you buy |
| Scope | A no-code tool leaves you to build and maintain the steps yourself | An agency's scope depends on what was agreed | Ours is built, tested and handed off as one working task |
| Reliability | A tool may silently fail on a layout change | An agency's error handling depends on the project | Ours reports a failed run instead of returning a blank result |
| Testing | A tool leaves testing to you | An agency's testing depends on the project | Ours runs 50 documented test scenarios before you see it live |
Questions about this product
What counts as one task for AI Web Task Agent?
A single, clearly defined action with fixed steps, such as logging into a portal to pull a status, or submitting the same short form on a schedule. Up to six minor variations of that one task fit in this build, which suits a task that branches slightly but does not turn into several unrelated processes.
Is AI Web Task Agent different from AI Browser Automation Agent?
Yes. This build is scoped to one core repeatable task, done reliably on a schedule. AI Browser Automation Agent covers up to six distinct workflows rather than variations of one task, which suits teams automating several different processes rather than a single well-defined one.
How does AI Web Task Agent record the result?
Whatever the task ends in, a status, a number, or a confirmation, is captured automatically and logged with the date and time of the run. You get a record of every run without anyone manually noting the outcome down in a spreadsheet afterward.
What happens if the site is down when AI Web Task Agent runs?
The failed run is reported rather than silently skipped or returned as a blank result. You are told the task could not complete and why, so you can decide whether to re-run it or investigate the site itself before the next scheduled attempt.
How much does AI Web Task Agent cost to run each month?
Roughly $50 to $250 a month for AI model usage and hosting, on top of whatever you already pay for the system the task runs against, billed to your own accounts. The build price is a single one-time payment that covers setup, testing and launch, with no monthly fee from us.
Can AI Web Task Agent write data back into my systems?
Yes, up to two connected systems with read and write access are included. Which systems, and what the agent can write, are agreed during intake and tested against sandbox or test records before the task goes live for real use.
Can I turn AI Web Task Agent into more than one task later?
A second distinct task goes through a Change Quote, priced before work starts, since this build is scoped to one core task with up to six variations. Small adjustments to the existing task fit inside the monthly change hours of maintenance, which you can cancel any month.
What if the task does not behave right when AI Web Task Agent launches?
You get two rounds of changes after the 50 documented test scenarios run, before launch. After delivery you have five working days to report anything that does not match the agreed task definition, fixed as part of the original price.
Stop running the same web task by hand.
Order AI Web Task Agent and your defined task runs on schedule, with every result logged and every failure flagged. The scope, connected systems and approval steps are fixed in writing before you pay.
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