AI Automation
AI Automation Services for Growing Businesses
We design and build AI automations that handle the repetitive, text-heavy work your team does every day — reading documents, sorting requests, drafting replies and updating your systems — so people can focus on the work that needs them.
Discuss your projectManual work that rules-based tools can't handle
Most businesses have already automated the easy parts: scheduled emails, simple form-to-spreadsheet flows, basic notifications. What remains is the work that needs a bit of judgement — reading an invoice that arrives in a new layout, deciding which department an email belongs to, summarising a long customer thread, or pulling the right figures out of a contract.
That work usually lands on skilled people who should be doing something more valuable. It is slow, it is easy to get wrong when volumes spike, and it does not scale without hiring.
Automation that understands language and documents
Modern language models can read, classify, extract and write. We combine them with conventional automation and your existing software to build workflows that run end to end — with clear rules for when a human must review or approve.
What we deliver
- Document and email processing (extraction, classification, routing)
- AI-drafted replies and summaries with human approval steps
- Integrations with your CRM, helpdesk, ERP, spreadsheets and databases
- Dashboards and logs so you can see exactly what the automation did
- Guardrails: confidence thresholds, fallbacks and escalation to people
How it works
- Step 1
Trigger
A new email, form submission, uploaded file, ticket or scheduled time starts the workflow.
- Step 2
Understand
An AI model reads the input, extracts the data you need and decides what kind of request it is.
- Step 3
Act
The workflow updates your systems, drafts a response or creates a task — using APIs, not screen-scraping, wherever possible.
- Step 4
Review & learn
Low-confidence cases go to a person. Their corrections are logged so the prompts and rules can be improved.
Business benefits
Time back for your team
Repetitive reading, copying and sorting moves to software, so skilled staff spend their time on decisions and customers.
Consistent handling
Every request is processed the same way, with an audit trail of what was done and why.
Scales with volume
Seasonal peaks and growth no longer translate directly into backlog or overtime.
Built around your tools
We integrate with the software you already use instead of forcing a new platform on your team.
Use cases
Invoice and order processing
Extract line items, totals and supplier details from PDFs and emails and post them to your accounting or ERP system.
Inbox triage
Classify incoming emails, route them to the right team and draft replies for common questions.
Customer support assistance
Suggest answers from your knowledge base, summarise ticket history and tag tickets automatically.
Reporting
Collect data from several systems and produce written weekly summaries for managers.
Our process
Workflow audit
We map the process with the people who do it today and agree which steps are worth automating.
Prototype on real data
A small working version runs on a sample of your real documents or messages so you can judge the quality.
Build & integrate
We connect the workflow to your systems, add review steps, logging and error handling.
Launch & monitor
We roll out gradually, measure accuracy and time saved, and tune the automation after launch.
Read more about how we work.
Technologies we use
- Python
- Node.js
- OpenAI API
- LangChain
- REST & webhook integrations
- PostgreSQL / MongoDB
Frequently asked questions
What kinds of tasks are good candidates for AI automation?
Tasks that are repetitive, high-volume and mostly about reading or writing text: processing documents, sorting emails, answering common questions, summarising information and updating records. Tasks that need deep expertise or carry high risk are usually better as AI-assisted rather than fully automated.
How is AI automation different from tools like Zapier?
Rules-based tools move data between apps when the input is predictable. AI automation adds the ability to understand unstructured input — free-text emails, varied document layouts — and make a decision about it. We often combine both.
Will the AI make mistakes?
AI models can be wrong, so we design for it: confidence checks, validation against your data, human review for uncertain cases and full logging. You decide which actions can run automatically and which need approval.
Is our data safe?
We use the minimum data needed, prefer API providers that do not train on your data, and can deploy within your own cloud account when required. We'll walk through data handling with you before any build starts.
How long does a project take?
Automating a single, well-defined workflow is usually a matter of weeks. Larger programmes covering several departments are planned in phases. We give you a scoped estimate after the initial workflow audit.
Related services
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Business process automation services: connect your apps, remove manual data entry and automate approvals, onboarding, orders and reporting with custom software.
AI Consulting
Practical AI consulting from engineers who build: find high-value AI use cases, assess data and risks, and get a realistic roadmap and proof of concept.
Find out what you could automate
Tell us which process takes up the most time. We'll tell you honestly whether AI automation is a good fit and what it would take.
Contact us