Automation platforms
Axiom.ai consultant: browser bots for systems with no usable API.
SBD builds and supports Axiom.ai bots that read from and type into websites and portals your team still works through by hand, for teams of 5 to 1,000 people. Workflow automation builds start at $1,500, with the fixed price set after a $500 Automation Audit that is credited to the build.
- Tool
- axiom.ai
- Usually paired with
- Google Sheets, n8n, Make, Zapier
- Timeline
- Most builds live in 3 to 5 business days from scope
- Owned by
- You, with accounts, credentials and code in your name.
What we build on Axiom.ai
- Build bots that read data from portals and web pages into a sheet or database
- Enter rows from a sheet or CSV into web forms that have no import
- Trigger bots from Make, Zapier or n8n through webhooks and the API
- Add run recording, checks on the output and alerts when a run fails
What we sync
Workflows we are asked for
- Axiom.ai scraper with results in Google Sheets
- Axiom.ai bot to enter CSV rows into a web form
- Axiom.ai report pulled from dashboards every morning
- Axiom.ai bot triggered from Make or n8n
- Axiom.ai page monitor with stock or price alerts
Often paired with
Tools Axiom.ai usually needs to talk to.
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Axiom.ai and Google Sheets
The spreadsheet most operations start in, and the one most integrations have to respect.
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Axiom.ai and n8n
The automation platform we build most systems on: code where needed, visual where not, cloud or self-hosted.
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Axiom.ai and Make
Visual automation with scenarios, routers and good error handling, formerly Integromat.
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Axiom.ai and Zapier
The widest app library in automation, best for low-volume, one-way Zaps.
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Axiom.ai and Claude
Anthropic's models, used through the business API for reading, classifying, extracting and drafting.
What we build
What an Axiom.ai expert from SBD builds
The usual starting point is a supplier portal, a government site or an old web app with no API, and someone on the team copying data out of it or keying data into it every day. An Axiom.ai bot does those clicks in a real browser, on your desktop or in its cloud.
A bot that runs is only part of the job. We check what it returns, because a bot can finish a run and still bring back the wrong column after a site changes its layout. Failed runs and empty results alert a named person, and the results go into a sheet, a database or the next step of a workflow.
We have not published a case study built on Axiom.ai, so we will not point you to one. The closest published work is our six fixed-scope property automations on n8n, which use the same approach to checks and alerts.
- Scrapers that pull listings, prices or records into Google Sheets or a database.
- Form entry that takes each row of a sheet or CSV and submits it to a web form.
- Daily reports read from several dashboards and sent to the team.
- Page monitors that alert someone when stock, price or status changes.
- Steps inside a larger Make, Zapier or n8n workflow, for the one system those platforms cannot reach.
Fit
When Axiom.ai is the right choice, and when it is not
Axiom.ai suits work that can only be done through a browser, runs at a modest volume, and does no harm if it pauses for a day while someone fixes it. Its no-code builder runs from a Chrome extension, so your team can read a bot and make small changes. Developers can drive its cloud browsers with Playwright or Puppeteer through the Chrome API, or trigger bots over REST through the Orchestrate API. Axiom.ai marks the code tools as beta, so we check what each one supports before relying on it.
A site can change its layout without warning, so every bot needs someone who notices and fixes it. Site terms matter too: some sites prohibit automated access, and personal data brings its own rules. We check both during scoping and tell you if a site should be left out.
- The system has a supported API; a direct integration is cheaper to run and less likely to break.
- The process moves money or files statutory returns, and a wrong click would be costly; keep a person approving each submission.
- The site blocks automation in its terms; ask the vendor for an export or API access first.
- Volume runs to many hours a day; compare the runtime cost with a small service in code.
Plans and limits
Axiom.ai plans, runtime and cloud limits
Axiom.ai charges by monthly runtime, so a slow site costs more than a fast one for the same number of rows. Desktop runs have no concurrency limit or time limit, but the computer has to be on. New accounts get two free hours of runtime with no card.
From Axiom.ai's pricing page in November 2026:
- Starter: $15 a month; 5 hours of runtime; 1 cloud bot at a time; 1 hour per cloud run.
- Pro: $50 a month; 30 hours; 1 cloud bot at a time; 2 hours per cloud run; daily cloud schedules; adds webhooks and the API, Zapier and Make, and run recording.
- Pro Max: $150 a month; 100 hours; 2 cloud bots at once; 3 hours per cloud run; hourly cloud schedules.
- Ultimate: $250 a month and up; from 250 hours; 20 cloud bots at once; 12 hours per cloud run; cloud schedules every 15 minutes; adds team accounts.
Engagement and cost
How hiring an Axiom.ai consultant from SBD works
Every engagement starts with an Automation Audit at $500, credited in full to your build. For Axiom.ai we walk through the process with whoever does it today, look for an API or export that would remove the need for a bot, read the site terms, and estimate monthly runtime so the plan is sized before anything is built.
Workflow automation builds start at $1,500, and the fixed price is set after the audit and agreed before work begins. Your Axiom.ai subscription is paid by you to Axiom.ai. We do not resell licences.
Handover
What you own, and what happens when a site changes
The Axiom.ai account, the bots and any saved logins stay in your name, and you receive a runbook for each bot covering what it does, what it reads and writes, how to run it by hand and what to do when it fails.
When a site changes, the bot needs repairing, so we agree before launch who does that. Your team can fix small changes in the builder, or we can keep it running under a support plan.
Read next
In every build
Standards we apply to every build.
Under the hood
- Upserts keyed on the record
Each write is matched on the source ID, so a retry or a re-fired event updates the existing record.
- Retries with backoff
Rate limits and timeouts are retried with increasing delays. If they still fail, they are parked for review.
- Idempotent, loop-safe writes
Two-way flows carry a marker so a change written by the sync does not re-trigger the sync.
- Reconciliation
A nightly job compares counts and totals on both sides and lists any record that differs.
- Audit log
Each run records the input, the mapping result, the action taken and what triggered it. You can search it by record.
For the team
- Slack or email notifications
Alerts go to a named person on your team, by Slack, email or WhatsApp.
- A runbook
One document per integration: what it does, what each alert means, and what to do in the first ten minutes.
- Training
A live session with the people who will use the review queue, recorded for whoever joins later.
- Handover
Admin access, billing and code sit in accounts in your name from the start, so the build keeps running if we stop working together.
- Sixty days of hypercare
The engineers who built it stay on call after go-live, fix what breaks and tune what the team asks for.
Keys and data
- Keys are kept in a vault
API keys and tokens are stored in the orchestration layer's encrypted credential store or the platform's secret manager. None are written into workflows, repos, spreadsheets or chat.
- One credential per connection
Each integration gets its own key, scoped to the objects and actions it needs. A lead sync cannot read invoices. Revoking one key stops one thing.
- Service accounts for connections
Connections use a dedicated service user in your account, so nothing breaks when a person leaves and nothing runs under someone's name.
- Two-factor on every account
Each platform account we set up has two-factor authentication on, and the recovery codes are handed to you.
- Rotation on handover and on request
Keys are rotated when the build is handed over, when anyone with access leaves, and at any time you ask.
The offer
Connect Axiom.ai to the rest of your stack.
We agree a fixed scope in a discovery call, and most builds go live in three to five business days. The accounts are in your name, and the engineers who built it stay on call for sixty days after.
- ScopeOne call to agree the workflows, the fields and the owner, written up the same day.
- BuildValidation, upserts, retries, reconciliation and an audit log, on n8n, Make or code.
- Go-liveWe test in a sandbox first, then switch over. It takes longer only where a vendor has to approve something.
- HandoverRunbook, training session, alerts to a named owner, admin access and code in your accounts.
- AfterSixty days of hypercare, then a care plan or run it yourself.
Questions
What people ask about Axiom.ai.
When should we use a browser bot at all?
When the system has no API, or the API leaves out what you need. If a supported API exists we use it, because a bot depends on page layout and can stop working when the site changes.
Can it sign in to a site with two-factor?
Axiom.ai's pricing page lists saved logins and TOTP support, through Axiom.ai or 1Password, on every plan. We use an account set aside for the bot where the site allows one, so its actions are easy to tell apart in the logs.
Is scraping any website allowed?
The tool does not settle that. Each site's terms and the data involved do, personal data especially. We check both during scoping and say so if we think a site should be left out.
Axiom.ai
Start with the one Axiom.ai workflow your team still runs by hand.
Bring it to a discovery call. You leave with a yes or no on fit, an outline of the build and what we would do first.
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