AI agents and automation
Agents that read documents, answer customers, reconcile data and run multi-step workflows inside the systems you already use.
We don't just build software. We build software that works for you.
A software companyso good it feelslike magic.
Every application we ship comes with AI employees built in: agents that read, decide, act and talk to people, so your team stops doing the work the software should be doing.
Mostsoftwarewaitsforahuman.Itstoreswhatyoutypeandshowsitbacktoyou.Oursreadstheinbox,checksthenumbers,draftsthereply,updatesthesystemandasksapersononlywhenitshould.Thatisthedifferencebetweenatoolandacolleague.
An AI employee, built into your software
Think of AI as amember of staff wholives inside the app.
Step 1 of 4 — Reading
It reads what arrives.
An order lands in the inbox as a messy email with a PDF attached. The agent opens it, pulls out the customer, the line items and the delivery date, and checks them against your catalogue.
Step 2 of 4 — Deciding
It decides what to do.
Stock is available for eleven of twelve items. One price is out of date. The agent applies your rules: it confirms what it can, holds the rest and never guesses at a number it isn't sure of.
Step 3 of 4 — Acting
It does the work.
The order is created in your system, the invoice is drafted, the warehouse gets a pick list and the customer receives a confirmation written in your tone of voice.
Step 4 of 4 — Escalating
It knows when to ask a human.
The one item it couldn't resolve is routed to the right person with everything they need to approve it in a single click. Your team handles exceptions, not paperwork.
Step 1 of 4 — Reading
It reads what arrives.
An order lands in the inbox as a messy email with a PDF attached. The agent opens it, pulls out the customer, the line items and the delivery date, and checks them against your catalogue.
Step 2 of 4 — Deciding
It decides what to do.
Stock is available for eleven of twelve items. One price is out of date. The agent applies your rules: it confirms what it can, holds the rest and never guesses at a number it isn't sure of.
Step 3 of 4 — Acting
It does the work.
The order is created in your system, the invoice is drafted, the warehouse gets a pick list and the customer receives a confirmation written in your tone of voice.
Step 4 of 4 — Escalating
It knows when to ask a human.
The one item it couldn't resolve is routed to the right person with everything they need to approve it in a single click. Your team handles exceptions, not paperwork.
Orders · Northwind Supply
Inbox
Re: order for next week
Hi, please send 12 items per attached, need by Thu. Thanks — Dana
order_oct.pdf
Order agent
working- Extracted 12 line items, customer and due date from email and PDF
- Checked stock: 11 available, 1 back-ordered · 1 price outdated
- Created order #4821, drafted invoice, sent pick list to warehouse
- Emailed Dana a confirmation
- Asked Priya to approve the updated price for item 7
Needs a human · Priya
Item 7 is listed at $42.00, catalogue says $46.50. Approve the new price?
Approve $46.50Keep $42.00
What we build
Almostanything.
Bring us the business problem. We work out what to build, then build the whole thing: the software, the AI inside it and the plumbing that connects it to everything else.
Why it matters
Your team,with the busyworkremoved.
When an agent handles intake, checking, data entry and follow-up, people are left with the decisions. That is where we have seen teams get to ten times the throughput without adding headcount.
0x
Potential productivity gain when AI agents run the routine work
0/7
Agents work through nights, weekends and holidays
0 yrs
Our longest running client relationship, a US real estate business
0%
Of exceptions still reviewed by a person. Automation with judgement
A typical day, before and afterManualWith agents
Process an incoming order
25 min → 2 min review
Chase an overdue invoice
15 min → automatic
Answer a pricing enquiry
20 min → instant, checked
How we work
Agile andExtremeProgramming.
A small, senior team working in short cycles. It is how we have kept complex systems reliable for clients over five years, and how we run the products we own.
Stage 1
Understand the problem
We sit with the people who do the work today, map the real process and agree on what 'done' means before a line of code exists.
Stage 2
Ship something in the first week
Short iterations, working software at the end of each one. You see progress and steer it rather than waiting months for a reveal.
Stage 3
Pairs, tests, refactoring
We practise Extreme Programming: pair programming, test-driven development and continuous integration keep quality high as the system grows.
Stage 4
Put the AI on a leash
Every agent gets clear permissions, an audit trail and a human escalation path. It earns more autonomy as it proves itself.
Stage 5
Stay for the long run
Most of our clients have been with us for years. We keep improving the system as your business changes, and we answer the phone.
Track record
Clients who stay.Products we own.
Software partnerships are judged by how long they last. A US real estate group has trusted us with their platform for about five years, and we are still the team they call. In the same period we have designed, shipped and run more than ten products of our own.
5years
US real estate group
Platform, integrations and AI automation, still in active development
10+products
Built and owned by Funbook
Designed, developed and operated by our own team
We are not only a services company. We design, build and run our own software products, so we know what it takes to keep a system alive after launch.
Tell us the problem.We'll build thesystem that solves it.
A thirty minute call with an engineer, not a salesperson. Bring a process that eats your team's time and we will tell you honestly what an AI employee could take off their plate.