Data processing and reporting
Scheduled work that produces the same output without a person assembling it.
Services
Business Process Automation
Manual work costs time and creates opportunities for mistakes.
Manual work costs time and creates opportunities for mistakes. It also tends to be invisible, because it is spread across people who have simply absorbed it.
We identify repetitive processes and build automation around the systems your company already uses.
That can include data processing, reporting, notifications, customer workflows, internal approvals, content operations, AI assisted tasks, and communication between systems that do not natively work together.
Problems this solves
You may recognise some of these.
- A report is assembled by hand every week
- Approvals happen over email and nobody can find the decision later
- The same record is entered into three systems
- A process only works when one specific person is at their desk
- Errors are caught by customers rather than by the system
What we do
The work itself
Workflow and approvals
Routing, status and an audit trail, so a decision can be found afterwards.
Notifications
Telling the right person at the right moment, instead of everyone all the time.
Content and publishing operations
The repetitive production steps around getting things out the door.
System to system communication
Making tools that were never designed to talk work as one process.
Process
How an engagement runs
Watch the process
The documented version and the real version are rarely identical.
Find the expensive step
Automate what costs the most time or causes the most errors, not what is easiest.
Automate it end to end
A half automated process often costs more attention than a manual one.
Make failure visible
Automation that fails silently is worse than no automation.
Measure what it returned
Time recovered, errors removed, or it was not worth doing.
Technology
What we typically build this on
The technology is chosen around the project. The business problem comes first.
- Python
- Node.js
- TypeScript
- PostgreSQL
- BigQuery
- DigitalOcean
Related work
Software we have built
E Commerce Development and Operations
Boho Beach Hut
A direct to consumer e commerce business we own and operate, from catalogue and payments through fulfilment and reporting.
Read the case study →Nutrition Data and Scoring Infrastructure
Digital Nutrition Intelligence
The shared data and scoring layer underneath our nutrition technology, covering more than 800,000 verified food products.
Read the case study →Questions
Things people ask before starting
- Where does automation usually pay off first?
- Repetitive work with a clear rule and a high volume, or a step where a human error is expensive. That is often the fastest measurable return in an engagement.
- Will this replace people on our team?
- In our experience it more often removes the part of a job nobody wanted. That said, it is your decision to make and we would rather discuss it honestly up front.
- What if our process is not documented?
- Most are not. Part of the work is establishing what actually happens, which is frequently useful on its own.
Tell us what you are trying to build
Tell us about the business, the problem, what you have today, and what you want to accomplish. If we are not the right team, we will tell you.