Hand off the busywork. Keep the receipts.
With10x builds AI into the work your finance and operations team is sick of: chasing overdue invoices, retyping PDFs, sorting support tickets. Your people step in only where their judgement counts. We time the job before we touch it and show you the numbers after, so you know what you got for your money. If a task isn't worth automating, we'll tell you.
Want to see the process first? See how we work
AI drafts a reminder
Hi Karim, invoice 2041 is 14 days overdue. Can you confirm a payment date?
Rules check the draft
- Amount matches the ledger
- No open dispute
- Inside contact hours
A person decides
Waiting for your teamApproved by your team
The customer replies
We'll transfer the amount on Thursday.
AI reads it as a promise to pay on Thursday, and sets a follow-up for Friday.
What this should do for your business
Hours back
Less chasing, retyping and sorting, so your team's day goes on the cases that need a person.
Money in sooner
Reminders go out on time, and promises to pay get followed up, even in a busy week.
Fewer costly slips
Wrong amounts and duplicate invoices get caught by a check before they're paid or sent.
Room to grow
More invoices and tickets don't have to mean another hire straight away.
Your work is messier than the demo.
Any AI looks good on one clean invoice. Yours arrive sideways, with the PO number missing. So that's what we test on, before anything reaches a customer.
In the demo
One clean file, in one format, with every field filled in.
In your business
- Scanned PDF, sideways
- PO number missing
- Two customers, same name
- Reply with no invoice number
This is where most pilots die. It's where we start.
How one annoying task gets fixed
Pick one task
We choose it with the people who actually do the work.
You get: A straight answer on whether it's worth doing
Time it
We clock the job on real cases before we change anything.
You get: Your before number
Test on past work
We run it on your past cases and check every result, so mistakes show up here and not with your customers.
You get: A list of what it got wrong
Go live with review
It runs in your tools. A person approves what matters, and you can go back to manual at any time.
You get: A working process and a named owner
Report what changed
We compare the numbers, warts and all.
You get: Your after number
Every stage ends with a decision to carry on or stop. Stopping is a fair result if the numbers don't justify going further.
Where finance and operations teams usually start
Overdue invoices chased by hand
Reminders go out on time without anyone writing them. AI drafts each one, sorts the replies and flags disputes, and your team approves anything sensitive.
- Comes inYour overdue invoices
- AI doesDrafts each reminder and sorts the replies
- A person checksYour team approves anything sensitive
- Goes outReminder sent, promise or dispute logged
Invoices typed in by hand
Nobody retypes another PDF. AI pulls the fields into your system, and anything that fails a check goes to a person before it's paid.
- Comes inPDFs and photos of invoices
- AI doesPulls the fields and runs the checks
- A person checksA person reviews whatever fails a check
- Goes outEntered in your system
Support tickets sorted one by one
Tickets land in the right queue with a reply already drafted. Your support team checks it, sends it and moves on.
- Comes inNew support tickets
- AI doesClassifies, routes and drafts a reply
- A person checksYour support team checks each reply
- Goes outAnswered from the right queue
Got a different one? Tell us about it and we'll say whether it's worth doing.
Could you spot what the AI got wrong?
AI sounds just as sure when it's wrong. That's why everything we build gets checked against the source before it goes out, so a bad draft never becomes your problem with a customer.
Try it: this summary has three mistakes
An AI wrote it from the meeting notes. This is a practice example. Click each sentence you wouldn't send.
The meeting notes
- Invoice backlog is at 140.
- Priya will trial the new intake form with two clients.
- Go-live moved from 3 March to 17 March.
- Budget wasn't discussed.
- Nobody took the vendor renewal.
The AI's summary
Matches the notes.
That's the old date. It moved to 17 March.
Matches the notes.
Invented. Budget wasn't discussed.
Who's Marcus? Nobody took this.
You've found 0 of 3.
All three sounded as sure as the two true sentences. Checking against the source is the skill. Learn how to check output
10x, with receipts.
Every project ends with a short report: how long the job took before, how long it takes now, what it costs to run and what didn't work. You can put it in front of your CFO as it is. If the numbers don't justify the work, the report says that too.
- Mistakes caught
- Counted against your past cases
- Cost per task
- What each run costs, including review time
- What didn't work
- Listed in the report, not left out
You stay in charge
People approve what matters
AI drafts. Your team signs off anything that reaches a customer or moves money, until the results earn it more freedom.
Your tools stay
No new system to learn. We build into what you already run, such as Odoo, Zendesk, Gmail or WhatsApp Business, and check the connection before we scope the work.
Only the data the work needs
We use tools your company has approved, and sample or anonymised data where that's enough. Ask us for an NDA before you share anything.
You can see the cost
We pick the AI model that suits each job, and tell you what each run costs.
There's always a way back
If the AI stops, your team carries on by hand. Every build has a manual fallback.
Someone on your side owns it
You get documentation and a named owner, so you're never stuck needing us.
Three ways to work with us
Not sure what to fix first? Start with the sprint. Already know? Go straight to implementation. Once it's live, we can look after it for you. We also run two-hour team workshops.
See how we workAI Opportunity Sprint
Find out which job is worth automating first, and what you'd get back.
Two weeksAI Workflow Implementation
Get one job off your team's plate, running in the tools they already use.
Scoped per projectAI Operations Partner
We keep it working and keep making it better, so your team doesn't have to.
MonthlyBring one task. Twenty minutes.
We'll tell you whether it's worth your money, even if the answer is no.
Tell us what you needPrefer to learn it yourself?
20 free lessons across four short courses. Every lesson has a worked example, a common mistake and something to try on your own work.
AI basics for work
How these tools behave, how to ask for what you want, and how to catch their mistakes.
Build your first agent
When an agent is the right choice, and how to give one a job without giving it the keys.
Automate a work process
Take one repeating task and turn it into something that runs reliably, with a person where it counts.
Prove it works
Measure what your AI system changed, find out where it fails, and decide whether to keep it.
Want templates and step-by-step guides too? Browse the library