AI Consultant · UK-based · Available now

AI Consulting for Apps — Add AI Features to Your Web App or SaaS

Most AI consultants give you a strategy deck. I give you working software. This is AI consulting for apps: I help product teams and businesses identify the highest-value AI feature for their app, then I build it into the product. Scoped upfront, delivered in 7 working days. Projects from £750.


What AI consulting means here

Not strategy decks. Scoped, buildable AI features delivered into your existing product.

🎯
AI opportunity scoping for your app

I look at your product and identify where AI would have real ROI, not where it's fashionable. Most apps have 2–3 high-value AI opportunities hiding in them.

🔧
Feature design & scoping

I define exactly what to build, what it'll do, what it won't do, and what it costs. Fixed price, no ambiguity.

🚀
Build & integration

I build it into your existing codebase. Production-ready: tested, deployed, with proper error handling and guardrails.

📊
Iteration & follow-on

After delivery, I'm available for follow-on sprints. Add more features, tune what's live, or expand the scope.

Looking for the web build side as well as the AI? My web development AI consultancy service covers designing and building AI features into websites and web apps end to end — that page explains how the web engineering and AI consulting fit together.


Who this is for

Right fit makes for a good engagement.

SaaS founders adding AI to an existing product

You have a working app. Your users are asking for AI features. You want someone who can deliver it cleanly without disrupting what's already live.

Product teams without an AI specialist in-house

Your engineers are generalists. You need someone who has shipped production AI before and doesn't need managing.

Agencies delivering AI features for clients

Your client asked for AI. You don't have an AI specialist. I can work white-label, so your client doesn't need to know.


How it works

Simple. No surprises.

1
Free discovery call (30 min)

Tell me about your product and what you want to solve. I'll tell you honestly what I'd build and whether AI is the right tool.

2
Written scope

I send a fixed-price proposal covering what gets built, how long it takes, and what it costs. No ambiguity before we start.

3
Sprint (7 working days)

I build. Short async check-ins only. You stay focused on your product.

4
Handover

Working feature, walkthrough, and it's yours. One round of revisions included.


What AI application consulting actually involves

AI application consulting is help deciding and building the right AI feature inside a specific product — not generic advice about "adopting AI".

Most AI consulting stops at a recommendation. AI application consulting goes further: it's grounded in one real application — your web app or SaaS product — and ends in working, shipped software. The job is to look at how your product is actually used, find where a language model or automation genuinely improves the experience or the economics, and then integrate that feature into your existing codebase so it holds up in production.

In practice, an AI application consulting engagement answers three questions for your app:

1️⃣
Where does AI belong in this application?

Not every feature needs AI. I map your product's workflows and find the two or three places where AI removes real friction — search that actually understands intent, a document step that's currently manual, a support burden that repeats.

2️⃣
What's the smallest version worth shipping?

Application consulting is about scope discipline. I define the leanest feature that delivers the value, so you ship in days and learn from real usage instead of committing to a six-month AI programme up front.

3️⃣
How does it run safely in production?

The part most AI consultants skip. Guardrails, fallbacks, cost controls, evals, and error handling so the feature behaves predictably for real users — not just in a demo.

If you're comparing AI application consulting against generic AI strategy consulting, the difference is simple: one leaves you with a slide deck, the other leaves you with a feature your users can use. I only do the second kind.


Common AI features I add to web apps and SaaS products

The AI features that consistently earn their place inside an application.

🔍
Semantic & natural-language search

Let users search your app in plain English and get results by meaning, not keyword matching. Ideal for content-heavy apps, catalogues, and knowledge bases.

💬
In-app assistants & chatbots

An assistant scoped to your product and your data that answers questions, guides users, or automates a task — built into the app, not bolted on as a generic widget. See AI chatbot development.

📄
Document processing & extraction

Turn uploaded PDFs, CVs, contracts, and invoices into structured data your app can use. Removes a manual step your users or team are doing by hand today.

Workflow automation

Classify, triage, summarise, or route inside your app automatically — the repetitive judgement work that currently needs a human. See AI integration services.

✍️
Personalised generation

Generate summaries, recommendations, drafts, or personalised content at scale, inside the product, tied to each user's context.


What I've shipped

Production AI running in live commercial products with real users.

HR Tech · AI Platform

Job Space AI

Built and shipped a production AI platform with CV analysis, document processing, AI-assisted job matching, and career tools. A commercial SaaS with paying users, built entirely by me.

Next.js · TypeScript · LLM APIs · Supabase

Live · jobspaceai.com ↗
EdTech · Consumer AI

Primary Story

AI reading platform for UK primary school children, with personalised story generation, comprehension tools, progress tracking, and teacher dashboards. Built and launched solo, end to end.

Next.js · Supabase · Azure OpenAI · Stripe

primary-story.com ↗

6+ years building production web applications, including for enterprise organisations in aviation, logistics, and recruitment. Based in West Lancashire, working UK-wide.


Pricing

Fixed-price engagements. Discovery call is free.

from £750
AI Feature Sprint · one feature · 7 working days
  • Free 30-min discovery call, no commitment
  • Written scope before we start
  • Feature built into your existing app
  • Production-ready: tested, deployed, documented
  • Code walkthrough + one round of revisions
Book a free call
50% upfront · 50% on delivery. White-label available.

Common questions

I don't know which AI feature to build first. Can you help me decide?

Yes, that's exactly what the discovery call is for. I'll look at your product and tell you where AI would have the most impact for the least complexity.

What stack do you use?

Next.js, React, TypeScript. LLMs: OpenAI, Anthropic, Azure OpenAI. Vector search: Pinecone, Supabase pgvector. I can work with your existing stack too. Get in touch and I'll confirm.

Can you work white-label for my agency?

Yes. I work behind the scenes regularly. Your client doesn't need to know.

What if I'm not sure my project is a fit?

Just email me and I'll tell you honestly within 24 hours whether it's something I can help with.

Can I keep you on after the sprint?

Yes. Ongoing retainers available for iteration and support after the initial sprint.

Want to add AI to your product?

Book a free 30-minute call. No pitch, no obligation, just an honest answer on what to build.

Book a free call barooahn@gmail.com