Expertise

AI development

The hard part of AI is rarely the model. It is connecting it to your data and workflows, checking that its answers are right, and making it safe to depend on. That is the engineering we do.

In short

AI development is building practical AI into your software and operations — assistants that answer questions from your own documents, tools that draft and classify, and automations that remove repetitive work. Brands Boost Hub designs these systems with evaluation, security and human review built in, so they are useful and safe to rely on.

Scope

What we build

AI assistants and chatbots

Assistants that answer from your own documents and data, with sources, for customers or staff.

Document processing

Extracting, classifying and summarising contracts, forms, emails and evidence at scale.

AI-assisted drafting

First drafts for reports, correspondence and filings that a person reviews and approves.

Workflow automation

Triggers and rules that move work between systems, with AI handling the judgement steps.

AI inside your product

Search, recommendations, scoring and copilots added to your existing software.

Evaluation and safeguards

Test sets, monitoring, access control and human-approval steps so quality and privacy are protected.

Process

How it works

  1. 01

    Find the right use case

    We start with a workflow where AI clearly saves time or improves quality, not with a technology.

  2. 02

    Prototype and evaluate

    A working prototype tested against real examples, so you can see how accurate it is before you invest further.

  3. 03

    Integrate

    Connected to your systems, data and permissions, with human review where it matters.

  4. 04

    Monitor and improve

    Quality tracking, cost control and refinement as usage grows.

Who it’s for

Is this right for you?

  • Teams buried in documents, emails or repetitive admin
  • Software companies adding AI features to an existing product
  • Businesses that want an assistant that knows their policies, products or cases
  • Organisations that need AI but cannot compromise on privacy or accuracy
Tools and technology

What we work with

  • Large language model APIs
  • Retrieval-augmented generation (RAG)
  • TypeScript & Node.js
  • Vector and relational databases
  • Workflow automation
  • AWS
Experience

Related work

Software · AI

Compliance and case-management software for a law firm

Internal platforms for an immigration law practice: a billing-to-compliance and performance application, and a case management platform covering intake, evidence, AI-assisted drafting, filing and management reporting.

  • Angular
  • .NET 8
  • MariaDB
  • AI-assisted drafting
FAQ

AI Development: your questions answered

What can AI actually do for my business?

The strongest uses are answering questions from your own documents, drafting and summarising text, classifying and extracting information, and automating repetitive steps. We start with one workflow where the value is clear.

Is my data safe when using AI?

We design for privacy: limiting what data is sent to models, controlling access with your existing permissions, and choosing providers and settings that match your confidentiality needs.

How do you keep AI answers accurate?

We ground answers in your own documents, test against real examples before launch, monitor quality afterwards and add human approval for anything high-stakes.

Can you add AI to software we already have?

Yes. We often add AI features — search, drafting, classification, assistants — to existing web and mobile products through APIs.

Will AI replace my team?

We build AI that takes the repetitive work off your team and keeps people in charge of decisions. The aim is more capacity, not less oversight.

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