What kind of software do you build?
Web applications, internal tools such as dashboards and back-office interfaces, customer-facing product features, and integrations between existing systems.
Software & AI Automation
When off-the-shelf tools stop fitting the way you work, focused software can remove a lot of friction. We build web applications and internal tools, connect the systems you already use, automate repetitive steps and add AI only where it holds up.
Internal tools, customer-facing products and integrations built around how people actually work, with AI only where it is reliable enough to help.
When it helps
- Teams work around spreadsheets and disconnected tools.
- The same information is copied between systems by hand.
- Off-the-shelf software covers most of the need, but not the part that matters.
- You want to use AI, but are unsure where it is genuinely useful.
What the work can include
- Product discovery and scoping
- Web application development
- Integrations and data flows
- Workflow automation
- AI-assisted processing with human review
How we work on it
Map the work
We follow a piece of work from start to finish to see where time and errors accumulate.
Scope the smallest useful version
We define what the first release must do well, and what can wait, so something useful reaches people early.
Keep people in the loop
Automations are monitored and include clear points for human review, so nothing important happens unseen.
Software & AI: common questions
Plain answers to what people usually ask before starting.
Can you work on our existing codebase?
Yes. We start by reading the code and understanding how it is built and deployed, then agree what to improve, extend or replace. If a rewrite is not justified, we will say so.
Which tools can you connect?
Most modern business tools offer integrations or APIs, including CRMs, project management, email, forms and spreadsheets. We confirm what is possible with your specific tools before proposing anything.
Where is AI genuinely useful in a workflow?
Typical examples are classifying and routing incoming requests, extracting information from documents, drafting routine messages for review, and searching internal knowledge. Where accuracy cannot be checked, we recommend against using it.
How do you handle data privacy and security?
Automations only get access to the data they need. Before anything is connected, we agree with you which services may process which information, and we use the access controls of the tools involved.
What happens after launch?
Ongoing support can be agreed as part of the engagement. Either way, we document what we build so your team, or another developer, can continue the work.
Often paired with
Have something that should be simpler?
Tell us what you are working on and where it feels harder than it should.