The problem
Staff wait on a few experienced colleagues for answers buried in policies and procedures.
With custom AI
A knowledge assistant answers from your approved documents, with the source attached.
Knowledge assistantsAI use cases for business
Where AI helps.Start with the problem.
Practical examples of where custom AI helps businesses: reading documents, answering questions from company knowledge, handling enquiries and taking the next step across your systems. Each one starts with a real problem, not the technology.
By sector
Looking for
your sector?
Two sectors have their own pages, with examples written for the paperwork they deal with every day.
Use cases
Knowledge and documents.
When the answers exist but are hard to find, or documents are read and re-keyed by hand.
The problem
Forms, PDFs and emails are read by hand and typed into another system.
With custom AI
Document processing extracts the details, checks them against your rules and routes exceptions to a person.
Custom AI applicationsThe problem
Long contracts, tenders or technical documents take hours to review against a checklist.
With custom AI
A review tool summarises each document against your checklist and links every point to its source.
Custom AI applicationsUse cases
Customer enquiries and service.
When every enquiry needs context before anyone can reply.
The problem
Each enquiry needs someone to check history, availability or policy before replying.
With custom AI
An agent gathers the context from your systems and drafts a reply for approval.
AI agentsThe problem
Customers ask the same questions again and again.
With custom AI
A customer-facing assistant answers from your approved information and hands over to a person when needed.
Knowledge assistantsThe problem
Requests arrive by email in every format and need sorting before work can start.
With custom AI
Incoming requests are categorised, key details extracted and routed to the right queue.
AI agentsUse cases
Sales and proposals.
When skilled people spend their time assembling rather than selling.
The problem
Proposals and quotes are rebuilt from scratch each time.
With custom AI
First drafts assembled from past work, pricing rules and the client’s requirements, ready for review.
Custom AI applicationsThe problem
Research before a sales call is manual and inconsistent.
With custom AI
A research agent prepares a briefing from your CRM and approved sources before each meeting.
AI agentsUse cases
Operations and back office.
When people bridge the gaps between systems that don’t talk to each other.
The problem
Data is copied between systems by hand and mistakes creep in.
With custom AI
Records kept in sync, with anything ambiguous flagged for a person rather than guessed.
AI agentsThe problem
Chasing missing information and documents takes up part of every week.
With custom AI
Requests and reminders sent on schedule, with escalations drafted for approval and every step logged.
AI agentsThe problem
Compliance dates and renewals are tracked in spreadsheets.
With custom AI
Dates extracted from documents, tracked automatically and flagged before they lapse.
Custom AI applicationsUse cases
Products and customer experience.
When the product you offer could do more for your customers.
The problem
Customers struggle to find the right product or option.
With custom AI
Guided selection inside your website or app turns what customers describe into valid options.
Custom AI applicationsThe problem
Customers want to ask for something in their own words, not fill in a long form.
With custom AI
An AI feature that understands the request and completes the permitted steps on their behalf.
AI agentsUse cases
Not sure where to start.
When you can see the potential but not yet the first step.
The problem
You believe AI could help but aren’t sure which problem to tackle first.
With custom AI
An assessment of where AI would make a real difference, with a costed first version.
AI consultancyThe problem
An AI tool or pilot has stalled.
With custom AI
A clear view of why, and whether a different approach, a custom build or no AI at all is the answer.
AI consultancyTwo more worked examples
From a business question
to a working system.
Illustrative interface and data. Not a client system.
Example 02 · Custom application
A specialist job. A purpose-built tool.
Give a team a document-review workspace that fits its process. AI extracts the relevant details; reviewers resolve exceptions and decide what becomes a record.
Request
Review these supplier documents against our checklist.
- Read the uploaded documents
- Extract the required information
- Compare with the agreed checklist
- Present exceptions for a reviewer
Result: Review pack ready. Missing fields highlighted. The reviewer decides what is accepted and published.
Explore custom AI applicationsExample 03 · Connected AI agent
The right context. Then the next step.
An agent reads an enquiry, checks the relevant customer and product information, and prepares a response inside your existing workflow.
Request
Prepare a useful next step for this customer enquiry.
- Read the customer’s request
- Retrieve relevant account context
- Prepare a response and follow-up
- Request approval before taking action
Result: Reply prepared. CRM task ready for approval. Sending and record changes follow the permissions you agree.
Explore custom AI agentsWhere should a business start with AI?
With a problem, not a technology. Pick a process that is slow, error-prone or dependent on a few people, and an example of the work. A free first call is enough to tell whether AI fits or whether a simpler tool would do. AI consultancy covers the next step.
Are these client results?
No. They are typical problems and approaches, not client results, and every interface on this page is illustrative. Nothing here is a client system.
Do these need AI at all?
Not always. Where fixed rules do the job, plain automation is cheaper and easier to maintain. I recommend the simplest approach that works, and sometimes that is an existing product rather than a custom build.
How would I test one before relying on it?
Build a set of real questions or tasks with the expected answer or source for each, then run the system against them. The free RAG guide explains the method in plain English.
A useful first conversation
Recognise one of these?
Bring the problem, an example of the work and the systems involved. I’ll tell you whether custom AI is the right answer and what a sensible first version would be.
Discuss your AI project Read the free RAG guide Or email hello@niroxai.comIndependent AI engineering. Based in Hull & East Yorkshire, working across Yorkshire and the UK.