AI & Automation
We build practical AI features and automations that remove repetitive work from your team, with human review where it matters and careful handling of your data.
AI applied to real work, not hype
The most useful AI is usually unglamorous: reading documents, sorting messages, drafting first versions and finding information faster. We identify the tasks where AI genuinely helps, build them properly and keep people in control.
Document extraction
Pulling data from invoices, receipts, statements and forms into your systems, such as for accounting firms.
Enquiry triage
Sorting and routing incoming WhatsApp, email and web enquiries, with suggested replies for your team to review.
Drafting quotes and documents
Generating first drafts of quotes, proposals and reports from your own templates and data.
Internal knowledge search
Letting staff ask questions of your policies, procedures and past work in plain language, with sources shown.
AI agents and LLM integrations
Connecting language models to your tools so they can complete defined, multi-step tasks safely.
Workflow automation
Automating the handovers, reminders and data entry between systems that currently rely on someone remembering.
What’s included
AI product development
- AI features in existing products
- LLM integrations
- AI agents for defined tasks
- AI search and knowledge assistants
- Internal AI tools
Business automation
- Workflow automation
- Document extraction and processing
- Enquiry triage and routing
- Content automation
- Reporting automation
AI transformation consulting
- AI opportunity assessment
- Use-case prioritisation
- Pilot design and evaluation
- Data privacy and governance review
- Team training and adoption
Where AI helps a business today
AI is most valuable when it takes on high-volume, repetitive work that follows recognisable patterns. An accounting firm receives piles of client invoices and bank statements that need reading and categorising. A property agency gets dozens of WhatsApp enquiries a day that need sorting into serious buyers, renters and general questions. A contractor spends evenings writing quotes that follow the same structure every time.
In cases like these, AI can read, sort, summarise and draft far faster than a person, leaving your team to check, decide and handle the conversations that need judgement. The gains come from specific, well-defined tasks, not from a general promise that AI will transform everything.
We start with an assessment of your workflows to find these opportunities, estimate the effort involved and prioritise the ones with the clearest benefit.
Human review, accuracy and data privacy
AI models make mistakes, and they can sound confident while doing so. We design every system with that in mind. Outputs that affect customers, money or legal matters go through human review. Extracted data is validated against rules. Answers from knowledge search show their sources so staff can check them.
Data privacy is treated as a design requirement. We look at what data the system needs, where it will be processed and stored, which AI providers are appropriate and how the setup fits the data protection laws in your markets. Where information is sensitive, we can limit what is sent to external models or use options that keep data within controlled environments.
We also measure accuracy during a pilot before wider rollout, so you know how the system performs on your own documents and messages rather than on a demo.
Automation that does not need AI
Not every problem needs a language model. Many time-consuming tasks are simple rules: send a reminder when an invoice is overdue, create a task when a form is submitted, copy data from one system to another. Conventional workflow automation handles these reliably and cheaply.
We combine both approaches, using straightforward automation where rules are clear and AI only where interpretation of language or documents is genuinely needed. The result is simpler to maintain and easier to trust.
Our process
01Assess and design
We map your workflows, find where AI would save time or reduce errors, and define inputs, review steps, data handling and success measures.
02Pilot and build
A working version tested on your real documents or messages, then a production build linked to your tools, with logging and fallbacks.
03Train and improve
Team training, monitoring and regular refinement as your processes and the underlying AI models evolve over time.
Industries we serve
Related services
Questions, answered
Is our data safe if we use AI?
It can be, with the right setup. We review what data is involved, choose providers and configurations appropriate to its sensitivity, limit what is shared, and document how data flows. We also consider the data protection requirements in the countries you operate in.
Will AI replace our staff?
Our focus is on removing repetitive work so your team can spend more time on judgement, clients and growth. Most systems we design keep people in the loop to review and approve outputs.
How accurate is AI document extraction?
Accuracy depends on document quality, layout consistency and language. That is why we pilot on your own documents first, measure the results and add validation rules and human review for anything that needs it.
Can AI work with WhatsApp enquiries?
Yes, through the WhatsApp Business Platform. AI can help categorise incoming messages, answer common questions and suggest replies, with your team taking over for anything that needs a person.
Does AI work in French, Arabic or other languages?
Modern language models handle many languages well, including French and Arabic. Performance varies by language and task, so we test with real examples in the languages your customers and staff use.
Where should we start?
Start with one well-defined, repetitive task that costs your team noticeable time. An opportunity assessment helps identify it, and a small pilot shows what is realistic before committing further.
Let’s build what your business needs next.
Tell us where you are and where you want to be. We’ll come back with a clear, honest plan.