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AI Services

Generative AI Solutions

Generative AI solutions are useful wherever your team writes, summarises or rewrites the same kind of text every day. We build them on your own data, with brand rules and review steps, so the output is usable rather than generic.

Helping brands grow since 2013
Our approach

How we approach generative AI solutions

Most businesses have already tried ChatGPT and found the output bland, sometimes wrong, and disconnected from their own products and tone. Staff paste confidential data into public tools because there is no approved alternative. The gap is not the model; it is context, controls and fitting the output into a real workflow.

We identify writing-heavy tasks with clear value: product descriptions, proposal first drafts, contract summaries, report commentary, support replies. For each, we build a tool that pulls the right internal context, follows your style and compliance rules, and puts output into the system where it is used, such as your CMS, CRM or document folder. Staff get an approved, logged AI environment, and managers can see usage and quality. We pick models based on cost, language needs and where data may be processed.

  • Use cases ranked by value, not hype
  • Working pilots in weeks
  • Accuracy testing and human review built in

Working with Nians

One strategist owns your plan and brings in the specialists it needs. You hear from us every week, and every piece of work starts with an audit.

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What’s included

What our Generative AI Solutions include

The usual building blocks. We drop what you don’t need and add what you do.

Use-case discovery

Where AI saves the most time or earns the most revenue.

Data & readiness check

What data, systems and policies need to be in place.

Prototype & agent build

Working pilots in weeks, not quarters.

System integration

Connected to your CRM, ERP, helpdesk and knowledge base.

Guardrails & evaluation

Accuracy testing, human review and safe failure modes.

Training & handover

Your team runs it confidently after launch.

Our process

How we deliver

You see the plan before any work starts.

Find the use case

We look for work that is repetitive, rule-based and worth automating.

Check the data

What data the model will use, where it lives and who can see it.

Prototype

A working pilot your team can try within weeks.

Integrate

Connected to your CRM, helpdesk or internal tools, with guardrails.

Monitor

Accuracy, cost and adoption tracked, and the system improved over time.

FAQ

Questions we often hear

Straight answers to the things clients ask us most. If yours isn’t here, just ask.

Still have a question?Talk to a strategist. We usually reply within one working day.Ask us directly
What are common generative AI use cases for businesses?
Product and marketing copy, proposal and RFP drafts, meeting and document summaries, support reply drafts, internal knowledge assistants and report commentary are the most common. The best use cases involve frequent, similar writing tasks with clear quality standards.
Is our data safe with generative AI tools?
It can be, with the right setup. Enterprise API agreements from major model providers exclude your data from training. We can also host open models in your own cloud for sensitive work, and we set access controls and logging on every tool.
Where should we start with AI?
Usually with a repetitive, high-volume task such as support questions, document processing or lead qualification. Quick wins there build confidence for bigger projects.
Next step

Let’s plan your next stage of growth.

A free 30-minute session with a senior Nians strategist. You leave with a prioritised plan, whether or not you work with us.

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Free · 30 minutes
Book a Free Consultation