Repetitive admin
Copying data between systems, checking entries, updating records, writing the same summary every week. Most of this can be automated outright or prepared for a quick human check.
AI development services
Custom AI tools, built around the way your business already works.
We design, build and integrate AI software for a specific job in your business: reading documents, sorting enquiries, drafting replies, answering questions from your own records. It plugs into the systems you already use, and your people approve the output before it goes anywhere important.
Where AI helps
The work AI is good at taking off your team
AI earns its keep on work that is frequent, follows a pattern and can be checked by a person. If your problem looks like one of these, it is probably a good candidate.
Document-heavy processes
Forms, contracts, invoices, tenders and email attachments. AI can read them, pull out the fields you need, flag what is missing and hand a clean record to your team.
Enquiries and shared inboxes
AI can read each incoming message, work out what it is about, send it to the right person and draft a reply for them to edit and send.
Processes held together by email
When a process runs on forwarded emails and chasing colleagues, we connect the steps so work moves on by itself and nothing sits in someone's inbox.
Knowledge nobody can find
Policies, past projects, customer history, old reports. An internal assistant lets staff ask a question in plain English and get an answer with its sources.
What we build
The AI software we are asked for most
Every build is custom, but most projects fall into one of these five types. We decide with you how much to automate and where a person needs to stay involved.
Workflow automation
Processes that run themselves
We automate the steps that follow rules, connect the systems involved and route the exceptions to a person.
- Automated record updates and handoffs
- Approval steps where they are needed
Document processing
Documents turned into usable data
AI reads incoming documents, extracts and validates the contents, and presents them for checking.
- Extraction, classification and validation
- Search across your own documents
Internal AI assistants
Tools your staff will use daily
Purpose-built assistants for one team and one job, with the right data and permissions behind them.
- Assistants trained on your own material
- Role-based access and approvals
Enquiry handling
Faster, more consistent replies
Incoming messages are sorted, routed and answered in draft. Your team edits and sends.
- Classification and routing agents
- Suggested replies and case summaries
Reporting assistants
Recurring reports, drafted for you
AI gathers the figures, writes the commentary and flags anything unusual, ready for a manager to sign off.
- Report drafting and anomaly flags
- Management summaries and updates
How we deliver
How we get a working tool into your team's hands
We start from the process and choose the technology second. The steps shrink or stretch with the size of the project, but the order stays the same.
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01
Map the process
We sit with the people who do the work and write down the steps, systems, decisions and exceptions.
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02
Pick what AI should do
Some steps can be automated, some drafted for review, and some should stay with a person. We agree which is which.
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03
Build and connect
We build the tool, connect it to your existing systems and design the screens your staff will use.
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04
Test on real cases
Your team runs it on real examples, including the awkward ones, before it goes live.
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05
Improve after launch
We tune it using feedback from the people who use it, and can stay on to maintain it.
Safeguards
Your people stay in charge of the decisions
We build AI to do the preparation and leave the judgement with your staff. Every tool we deliver makes clear what the AI did, what a person approved and where to look when something seems wrong.
Input
Documents, enquiries or records
AI-assisted processing
Extract, classify, draft or route
Human sign-off
Check context and exceptions
Approved action or output
Update, response or summary
Human sign-off
Anything that affects a customer, a record or a decision goes past a named reviewer first.
Escalation for unclear cases
Unclear, incomplete or sensitive cases are flagged for manual handling and never pushed through automatically.
Access by role
Each user sees only the information their role allows.
Audit logs
The system records what the AI produced, what was changed and who approved it.
Tested before rollout
Nothing reaches the wider team until it has passed on realistic examples.
Questions we get asked
Short answers to what clients ask before starting an AI project. Ask us directly.
How long does a custom AI project take?
A focused automation or assistant is usually built and tested within a few weeks. Larger tools with several integrations take a few months. You get a written scope and timeline before any work starts.
Which AI models and tools do you build with?
We are not tied to one vendor. We build with models from OpenAI, Anthropic and Google as well as open-source models, and with tools such as Python, n8n and Microsoft Power Automate. The choice depends on accuracy, cost and where your data has to stay.
Is our data used to train AI models?
No. We set up the models we use so that your data is not used for training. Where data cannot leave your network at all, we deploy on your own infrastructure, as we did with our UMAR product.
Will AI replace the people doing this work today?
In the projects we build, AI does the preparation and a person makes the decision. Staff spend less time copying, sorting and drafting, and more on the cases that need judgement.
Do you work with companies outside the UK?
Yes. NexAura is a UK company, managed from the UK, with its own engineering team in Pakistan and the UK. We take on projects for businesses in North America, Europe, the Gulf and Pakistan, and arrange calls in your time zone.
Have a process you think AI could handle?
Describe it to us in a 30-minute call. We will tell you whether AI is the right tool for it, what a first version would do and what it would take to build.