AI & Automation
Automation and AI applied where they actually fit
We look at where time is spent on repetitive, rules-based work, and automate it — using AI where it's the right tool for the job, and plain automation where it isn't.
Repetitive work quietly consumes a team's time
Manual data entry, copying information between systems, sorting incoming requests, generating the same kind of report every week — this work rarely looks urgent enough to fix, so it never gets fixed, and it keeps consuming hours that could go to higher-value work.
At the same time, AI is often applied where it doesn't belong — bolted onto a product as a feature rather than solving an actual bottleneck, adding complexity and cost without a clear return.
We start with the bottleneck, not the technology
We identify which parts of a workflow are genuinely repetitive and rules-based, and automate those directly — often with straightforward automation rather than AI, where that's the simpler and more reliable fix.
Where a task involves judgment, unstructured input or language — summarising, classifying, drafting, extracting information from documents — a language model is applied deliberately, integrated into the existing workflow rather than presented as a separate chatbot nobody uses.
What's included
Inside ai & automation
Workflow automation
Automating repetitive, rules-based tasks between the tools you already use — data entry, notifications, routing, report generation.
AI-assisted features
Language-model features integrated into an existing product or process — summarisation, classification, extraction, drafting — where they solve a real bottleneck.
Document and data processing
Automated extraction and structuring of information from documents, forms and unstructured data sources.
Integration with existing systems
Connecting automation and AI features to the tools already in use, rather than requiring a separate platform.
Technologies
What we build with
The tools we reach for on this kind of work. We pick from a deliberately small set we know well rather than a different stack each project.
AI & language models
- LLM APIs (OpenAI, Anthropic)
- Retrieval-augmented generation
Automation
- Node.js scripting
- Scheduled jobs
- Webhook-driven pipelines
Integration
- REST APIs
- Third-party service integrations
How we work
The same process, whatever we are building
Every step produces something you can look at and react to. No phase ends with a surprise.
Discover
We start with the problem, the constraints and the people affected — before anyone opens a design tool.
Design
Interfaces are designed as a system, so decisions compound instead of being remade on every screen.
Build
Typed, tested and reviewed. Work ships in increments you can see, not in a single reveal at the end.
Scale
Monitoring, performance budgets and a release process your team can run without us in the room.
Outcomes
What you get
- Time recovered from manual, repetitive work that shouldn't need a person
- AI applied to a specific, identified bottleneck rather than added for its own sake
- Automation built into tools your team already uses, not a separate platform to maintain
- A clear boundary on what is automated and what still needs human judgment
Questions
Before you get in touch
Do you build custom AI models?
No — we integrate existing, proven language models into your workflow rather than training models from scratch. That keeps cost and complexity proportionate to the problem.
How do you decide what to automate versus what needs AI?
We start by mapping the workflow. Rules-based, repetitive steps are automated directly with standard scripting and integrations — often the simpler and more reliable option. AI is used specifically where a step involves judgment, language or unstructured input that a fixed rule can't handle.
Will automation replace people on our team?
The goal is to remove repetitive tasks from a person's workload, not the person. Automation typically frees time for the work that actually needs judgement, which a rule or a model can't replace.
Related services
Often needed alongside this
Software Development
Custom applications and internal tools designed around your specific workflow, not adapted from a generic template.
Explore serviceSaaS Development
Multi-tenant SaaS applications built with the architecture, billing and onboarding a subscription product needs from day one.
Explore serviceCRM / ERP Development
Custom CRM and ERP systems, or extensions to existing ones, built to match how your business actually runs.
Explore serviceNeed help with ai & automation?
Tell us what you are working on and we will come back to you directly — including if we think another approach would serve you better.
Start a project