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AI solutions
Where our AI development page explains how we build, this page is about what AI is good for. Most businesses do not need a research project. They need one or two dull, repetitive jobs to take less time: answering the same questions, retyping data from documents, sorting requests, writing first drafts.
We look at your operation function by function, find the tasks where AI is reliable enough to help, and build a solution around each. Where AI is not reliable enough yet, we tell you, and suggest a simpler approach.
Assistants that answer product and policy questions from your content, capture leads and hand over to a person with the context, so customers are not asked to repeat themselves.
Sort incoming requests, route them to the right team, flag exceptions and draft routine replies. This is the strongest case for AI automation.
Read invoices, receipts and forms, extract the totals, dates and parties, and put them into your accounting or billing system for review.
Answer policy questions, summarise leave and attendance patterns, and draft routine communications, with sensitive decisions left to people.
Draft product descriptions, summaries and translations in your tone. A person reviews and publishes; nothing goes out unchecked.
Smarter search, recommendations, generators and in-app assistants that make an existing product more useful.
Almost every practical AI feature is a variation of one of these. Knowing the pattern makes it easier to judge what is realistic.
Respond to a question using your documents and records, with sources shown.
Turn unstructured input, such as a PDF or photo, into clean fields.
Sort items into categories, priorities or queues.
Produce a first version of text for a person to edit.
Find relevant items by meaning rather than exact keywords.
Suggest the next best item, action or reply from past behaviour.
The dull first pass is done by the system; people focus on judgement and relationships.
Routine tasks follow the same rules every time, at any hour.
First answers arrive immediately, with human follow-up where it matters.
Starting with one reviewed task lets you learn what works before investing further.
The model is a small part of a working solution. These pieces make it dependable.
Product question answering, description drafting and order-issue triage.
Invoice reading, expense categorisation and payment reminder drafting.
Policy assistants and summaries built into HR software.
Assistants that answer within carefully defined limits, plus generators such as an AI name generator.
AI features that lift retention: search, summaries and automated set-up help.
A short call to list the tasks that eat time and check whether the data behind them is usable.
We choose the single task with the clearest value and agree what success looks like in numbers.
A working version connected to real content and tested on real examples, so you learn early what is strong and what is not.
You compare the results with the old way. If it works, we scale it. If it does not, you have spent little.
Integrate it into daily tools, train the team and move on to the next task.
We can deliver the AI and the screens, admin tools and integrations around it, so nothing gets stranded.
Reliability varies by task and language. We will tell you where the limits are.
AI chat and generators already run inside our Zabi mobile product.
FAQ
It is using AI to handle steps of a process that used to need a person to read, interpret or write, such as reading an invoice, sorting a support message or drafting a reply. Unlike traditional automation, which follows fixed rules, AI can cope with messy, varied input.
Good candidates are frequent, similar, low-risk and easy to check. Poor candidates are rare, high-stakes or dependent on unwritten judgement. A short readiness conversation usually sorts your list into these groups.
The solutions we build are designed to remove repetitive work and support people, with humans approving important outcomes. We do not promise headcount savings.
Yes, if those systems have an API, export or database access. We check this in the readiness step.
A general chatbot does not know your documents, cannot act in your systems and has no approval process. A custom solution is connected to your data, limited to its purpose, logged and integrated into your workflow.
Contact
Book a 30-minute call. Bring a list of repetitive tasks and we will help you pick the one worth piloting.
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