Give AI one useful job.
AI Automation
Use AI to read documents, sort enquiries and prepare work for your team to approve. We connect it to the systems you already use, test it on real examples and agree what happens when it gets something wrong. Start with one workflow, with the phase priced before work begins.
This is one of the things a Custom Software build can include, so it is scoped and priced there rather than on its own. See Custom Software and what it costs
What is breaking
- Your staff spend hours reading documents just to pull out a few numbers
- Someone sorts through inbound WhatsApp and email by hand every morning
- Staff copy AI-generated answers into business systems by hand
- You need to know which tasks can use AI and which still need fixed rules or human judgement
What changes for you
- Key information is extracted from documents for a person to verify
- Inbound messages are sorted and routed to the right owner
- Replies, quotations and follow-up drafts are prepared for staff to review
- AI assistants look up relevant business records within agreed access limits
- AI can take approved actions in your other software, with staff sign-off before anything important goes out
- Outputs are checked against your examples, with failed checks routed to staff
Ideal for
Teams handling high volumes of semi-structured input, documents, emails, applications, claims, where the rules are too fuzzy for pure automation but too repetitive for senior staff.
Might not be the right fit
Tasks with no clear owner, no usable examples or no way to check the output. If a fixed rule solves the problem reliably, use ordinary automation instead.
What it looks like
How many of your clients got a follow-up this month, and how many were just remembered too late?
Where things get stuck
- The client list lives in heads. What was discussed, what was promised and when to call back sit in one person's memory, or nowhere
- Follow-ups go to the loud ones. Whoever messaged last gets the reply; the quiet renewal three months out gets nothing
- Every message starts from blank. Writing a personal note to each client takes long enough that most never get one
What gets built
- Every conversation is captured. Notes, chats and calls are summarised against the client, in the language they were held in
- Today's list picks itself. Clients are ranked by who needs a call now: a renewal due, a promise made, a silence too long
- The first draft is already written. A personal message, in the client's tone and language, ready for the salesperson to read, edit and send
What you get back
- Nobody is forgotten. Every client has a next date and a reason, whether the salesperson remembers or not
- The team sends more, and sends better. Follow-ups go out in the time it took to write one, each still read by a person before it goes
- The relationship belongs to the business. What a client said stays on record when the salesperson moves on
A salesperson with three hundred clients can hold maybe thirty in their head. The other two hundred and seventy get a follow-up when something reminds them, which is usually the client leaving. Count the renewals and repeat orders that went to whoever called first, and that is the cost of a memory that lives in one person.
Get a quote for thisFAQ
FAQ
AI can produce a confident but wrong answer. We test it against representative examples, validate important fields and agree which outputs need staff approval. A pilot measures errors as well as time saved; it does not guarantee error-free output.
That depends on the workflow. Before using real data, we agree which fields are needed, who may access them and which providers process them. We review the selected provider's retention and training settings rather than making a blanket promise about every AI tool.
Each build phase is priced upfront. During the pilot we estimate the monthly AI usage and hosting costs using your expected volume, so you can decide whether the workflow is worth running.
Use fixed rules for steps that are always the same. Use AI when the task means reading messages or documents that vary. An AI agent helps when one task needs several steps across your software; a chatbot is just one way to talk to the system. We choose based on the work, not the label.
Yes, if that software allows other systems to connect to it. We check what it allows first. If a ready-made product already covers the task, there is no need to pay for a custom replacement.
Which of these sounds like your business?
Same work, different companies. Open the one you recognise and see what it takes to remove it.
Custom Software
One business. One operating system.
Sign you'd want this
The same job moves through WhatsApp, spreadsheets, and several separate tools
Sales & CRM
Every enquiry. One clear next step.
Sign you'd want this
Enquiries come in on WhatsApp, and some of them just never get followed up
Process Automation
The routine work should run without chasing.
Sign you'd want this
Approvals wait for someone to notice a WhatsApp message
Tell us where it breaks
Two or three sentences is enough. The first step is a Workflow Review: what we would build and what it costs, agreed before you commit to anything.