Less copying. Less routine admin.
We build automation that prepares quotes, reads documents and drafts replies. Your team reviews the parts that need a person before the work moves on.
Start with one task. We check how it works today, what your software allows and whether a change is worth the cost.
What we can automate
Read documents
Take customer details, products and amounts from invoices, forms or quote requests and prepare them in your software. We agree how the results are checked and where missing or unusual information goes for review.
Draft email replies
Sort incoming messages and prepare replies to common questions using your information. A team member checks, edits and sends the reply.
Prepare quotes
Turn an incoming request into a draft using product and price information from your system. Your team checks the details before approving it.
Follow up enquiries
Add an enquiry to your customer records and create a follow-up task. If it has not been handled, the agreed person receives a reminder.
Find information in your files
Create an assistant that searches agreed documents and points people to the source. Access and checks need to match the information it uses.
Prepare reports
Bring figures from agreed systems into a regular report. Your team can check the information without copying it between files first.
Tools we may use
- n8n
- OpenAI
- Claude
- Laravel
- Node.js
- Next.js
How we build it
Look at the task
We work through real examples with the people who do it, including the awkward cases.
Agree the work
We set out what runs automatically, what people check, which tools are involved and what it costs.
Build and test
We test the normal cases and what happens when details are missing or a connection fails.
Hand it over
We show your team how to use it, provide the agreed instructions and explain the support arrangement.
Questions before starting
Look for work that repeats often and follows a pattern. We compare how much effort it takes today with the cost of building, checking and maintaining the automation.
No. Fixed rules or a connection between two programs may be enough. AI can help where information varies, such as differently formatted documents or incoming questions.
Checks are part of the design. We agree what a person reviews, how missing information is flagged and when the process stops. We test those cases before the system is used.
We identify which information is needed, where it will go and which services process it. The choices about access, storage and review are agreed for your project. Ask us about any sensitive information before sharing examples.
Yes. We first agree what it should answer, which information it can use and how visitors can reach a person. Visitors should be able to see that they are talking to AI.
Tell us about one task. If it is clear enough, we can define a project and agree a price. If you need help deciding where to begin, an Efficiency Scan can map the options first. Any ongoing software costs belong in the proposal too.
Which task keeps coming back?
Tell us what your team does today, which tools you use and roughly how often the task happens. A few sentences are enough to start.