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AI Product Development

AI tools, assistants, and SaaS features built for real workflows.

JTech builds privacy-aware AI chatbots, RAG knowledge systems, internal assistants, workflow automations, and AI product MVPs for businesses that need practical AI, not demos.

AI feature builds from £750·Automations from £1,000·AI MVPs from £3,500·Fixed written scope before development starts

Built with clear data boundaries, human fallback paths, and privacy-aware architecture.

Choose your AI starting point

Start with a focused AI feature, automate one workflow, or build a complete AI-powered MVP. JTech helps you choose the smallest useful version before scaling into a larger product.

AI Feature Sprint

From £750

Best for adding one focused AI feature to an existing website, app, dashboard, or workflow.

Best For:

AI chatbot, summary tool, drafting assistant, smart search box, FAQ assistant, or AI helper inside an existing product.

Start With AI Feature

AI Automation / RAG Starter

From £1,500

Best for teams that want AI to search documents, summarize files, extract information, or automate a repeated business process.

Best For:

Document Q&A, private knowledge base, PDF search, internal support assistant, report summarization, and back-office automation.

Plan AI Automation

AI MVP Build

From £3,500

Best for founders or businesses that need a working AI-powered product prototype with user flows, database, interface, and core AI logic.

Best For:

AI SaaS MVPs, education tools, customer portals, internal AI platforms, structured prompt workflows, and early product validation.

Build AI MVP

Advanced AI Product Build

From £7,500+

Best for larger AI products that need multiple user roles, private data flows, admin controls, usage logs, evaluation, and long-term improvement.

Best For:

AI SaaS products, internal enterprise tools, multi-role dashboards, AI workflow platforms, compliance-aware AI systems, and scalable product builds.

Discuss Advanced Build

Who this is for

This service is for businesses, founders, and teams that already have a workflow, content base, customer problem, or product idea where AI can create measurable value.

Businesses with repeated customer questions

You want an AI assistant or chatbot that answers common questions, guides visitors, and hands off complex cases to a person.

Teams with documents, policies, or internal knowledge

You need a private knowledge system that can search, summarize, and answer questions from approved files or databases.

Founders building AI SaaS products

You have an AI product idea and need a working MVP with user flows, core AI logic, database, and launch-ready structure.

Service businesses with manual workflows

You want to reduce repeated admin work such as triage, summarization, drafting, classification, and document review.

Education, training, and knowledge platforms

You need safer AI support for learning, content guidance, tutoring, structured feedback, or internal knowledge access.

Privacy-conscious organizations

You need AI features planned with clear data boundaries, access control, traceability, and safer user interaction patterns.

Most AI projects fail because they start with the model, not the workflow.

A useful AI product starts with a clear business task, defined users, safe data access, and a measurable output. JTech helps shape the AI system around the workflow first.

The AI feature has no clear job

If the system does not have a defined task, users will treat it like a toy instead of a useful workflow tool.

The data source is unclear

AI tools become unreliable when they do not know which documents, policies, files, or databases they are allowed to use.

There is no fallback path

If the AI is unsure, sensitive, or wrong, the system needs a safe handoff route instead of pretending to know the answer.

The first version is too large

Many AI products fail because they try to build a full platform before proving one useful workflow.

What JTech can build

JTech can build focused AI features, internal tools, workflow automations, and full AI-powered MVPs depending on your business goal and budget.

AI Chatbots

Customer-facing or internal AI assistants that answer common questions, guide users, and route complex cases to a real person when needed.

Example Uses: Website FAQ assistant, support triage bot, onboarding helper, internal helpdesk assistant, lead qualification chatbot.

RAG Knowledge Systems

Private AI search systems that answer questions from approved documents, files, policies, PDFs, or databases with source-aware responses.

Example Uses: Company knowledge base, document Q&A, policy search, training material assistant, internal research helper.

Document AI Tools

Tools that summarize, classify, extract, compare, and organize information from documents or structured files.

Example Uses: PDF summarizer, invoice data extraction, report analysis, document classification, meeting note summarizer.

Workflow Automation

AI-assisted workflows that reduce repetitive admin work by connecting forms, notes, documents, messages, tasks, and decision steps.

Example Uses: Lead triage, email drafting, proposal preparation, content repurposing, task extraction, customer intake automation.

Internal AI Assistants

Private assistants for teams that need help with searching information, drafting content, planning tasks, summarizing work, or supporting operations.

Example Uses: Team knowledge assistant, operations assistant, sales assistant, research assistant, admin dashboard assistant.

AI SaaS MVPs

Working AI-powered product prototypes with user flows, interface, database, roles, prompt logic, and a practical first version for validation.

Example Uses: AI education platform, AI content workflow tool, AI business dashboard, AI assistant product, structured prompt platform.

What your AI build can include

The exact scope depends on the project size, but every build should be planned around usefulness, privacy, reliability, and a clear first version.

Workflow discovery

We define the task, user type, data source, output, success criteria, and risk points before choosing the AI implementation.

AI feature planning

We map what the AI should do, what it should not do, when it should ask for help, and what information it is allowed to use.

Interface design

We design the user flow, input fields, output areas, chat panel, dashboard, or workflow screen needed for the AI feature.

Prompt and context system

We structure the system instructions, user prompts, retrieval context, source rules, refusal behavior, and output format.

Database and storage setup

Where needed, we plan structured storage for users, files, prompts, outputs, tasks, logs, and app data.

RAG or document search setup

For knowledge systems, we can plan document upload, chunking, retrieval, source display, and question-answer workflows.

Safety and fallback logic

We include guardrails such as confidence checks, human handoff, limited scope, source display, and restricted outputs where appropriate.

Testing and improvement plan

We test common queries, edge cases, response quality, speed, and failure paths before recommending next-stage improvements.

Optional upgrades for larger AI systems

Start with one useful AI workflow. Add advanced features only when they support the product, team, or revenue model.

Role-based user access

Add separate permissions for admins, team members, customers, students, staff, or managers.

Document upload and private AI search

Allow users to upload PDFs, files, notes, or documents and ask questions against approved content.

Source citations and evidence display

Show which files, records, or knowledge sources the AI used when generating an answer.

Human handoff workflow

Route low-confidence, sensitive, or complex cases to a real team member instead of leaving the user with an unsafe answer.

Admin dashboard

Manage users, documents, prompts, categories, responses, logs, settings, and AI behavior from a private dashboard.

Usage logging and review

Track queries, common tasks, failed responses, handoff events, and improvement opportunities.

Evaluation test set

Create a set of test questions and expected responses so the AI system can be checked before and after updates.

API integrations

Connect the AI workflow to forms, CRMs, email systems, calendars, databases, payment tools, or internal software.

Payments or subscriptions

Add customer accounts, paid access, subscription tiers, usage limits, and product monetization flows.

Multi-model strategy

Use different AI models or providers depending on task type, cost, speed, privacy requirements, and output quality.

On-device or private deployment planning

For sensitive workflows, plan whether parts of the system should run locally, privately, or with reduced cloud exposure.

Ongoing AI improvement support

Improve prompts, retrieval quality, app flows, safety checks, and user experience after launch.

AI project pricing starts with the size of the first useful version.

Every AI project receives a fixed written scope before development starts. The best first version is usually smaller than the final product idea.

AI Feature Sprint

From £750

Best for: Adding one focused AI feature to an existing website, app, dashboard, or business workflow.

Includes:
  • Feature discovery
  • AI use-case planning
  • Simple interface or integration plan
  • Prompt and output structure
  • Basic testing
  • Launch guidance
Start AI Feature Sprint

AI Automation / RAG Starter

From £1,500

Best for: AI document search, internal knowledge assistants, summarization workflows, or business process automation.

Includes:
  • Workflow mapping
  • Data source planning
  • RAG or automation design
  • AI response rules
  • Basic dashboard or interface
  • Testing and improvement recommendations
Plan AI Automation
Most Popular

AI MVP Build

From £3,500

Best for: Founders and businesses building the first working version of an AI-powered product.

Includes:
  • Product discovery
  • User flow planning
  • Core interface build
  • AI logic and prompt system
  • Database or storage setup
  • User access where required
  • Testing and launch support
Build AI MVP

Advanced AI Product Build

From £7,500+

Best for: Larger AI SaaS products, multi-role platforms, private AI systems, and advanced workflow tools.

Includes:
  • Multi-role architecture
  • Admin dashboard
  • RAG or advanced AI workflows
  • Usage logs and review tools
  • Safety and fallback paths
  • Integration planning
  • Scalable product roadmap
Discuss Advanced AI Build

Useful AI needs clear data boundaries.

AI systems can touch customer records, internal documents, private notes, business IP, and operational decisions. JTech plans AI features with privacy-aware architecture, controlled access, and clear limits on what the system can see and do.

Clear data boundaries

We define which documents, records, APIs, or databases the AI can access and which areas should remain outside scope.

Human fallback paths

When the AI is unsure, sensitive, or outside scope, the system can route the user to a real person or safer next step.

Transparent AI behavior

Users should know when they are interacting with AI, what the AI is designed to do, and when it may need human review.

Controlled outputs

For high-risk workflows, responses can be limited, structured, reviewed, or grounded in approved sources.

No unnecessary tracking

AI systems should collect only what is needed for the product to work and improve safely.

Technical integrations JTech can plan and build

The implementation is chosen around the workflow, budget, privacy requirements, and product stage.

AI chatbot interfaces and hologram-style widgets
Prompt engineering and context design
RAG pipelines with PostgreSQL + pgvector
Document upload, website sync, and retrieval workflows
Multi-LLM routing (OpenAI, Anthropic, Gemini, DeepSeek, Mistral, Qwen)
Next.js product interfaces with Tailwind and shadcn/ui
Firebase and PostgreSQL authentication and database structures
Role-based access and multi-tenant isolation
API integrations with business tools
Admin dashboards, analytics, and review tools
In-chat lead capture and form building
Safety checks, content guardrails, and fallback rules
Usage tracking, cost control, and model performance analytics
Evaluation test sets for AI response quality
AI model/provider selection and cost optimization guidance
Google Cloud Run deployment and launch support

Start with the right build size.

Not every business needs a full AI product immediately. JTech can help choose the right starting point so your budget goes into the most useful first version.

JTech Solutions Ladder

  • Need more enquiries?Website Growth PackageStart here if you need credibility, SEO structure, and more enquiries first.
  • Need a private tool for yourself?Personal AI App BuilderStart here if you want private notes, calendars, and routines for professional use.
  • Need a dashboard, portal, or non-AI MVP?App & MVP DevelopmentStart here if you need custom workflows, roles, and databases without AI logic.
  • Need AI search, automation, or an AI product?AI Product DevelopmentStart here to build custom chatbots, RAG pipelines, and automated prompt systems.

How JTech delivers an AI product from idea to launch

1

Discover the workflow

We identify the users, repeated tasks, data sources, business goal, risk level, and success criteria.

2

Scope the first useful version

We define what should be built first, what should wait, and what budget range matches the outcome.

3

Design the AI interaction

We plan the interface, prompts, input flow, output format, fallback route, and user controls.

4

Build the core system

JTech develops the interface, database, AI logic, retrieval flow, integrations, and core product functionality.

5

Test safety and usefulness

We test common tasks, edge cases, response quality, source behavior, privacy boundaries, and failure paths.

6

Launch and improve

After launch, the system can be improved through better prompts, retrieval quality, new workflows, analytics, and user feedback.

Built from real product and workflow experience

JTech is not only experimenting with AI prompts. The focus is building usable software systems, privacy-first workflows, and product structures that can grow beyond a demo.

Live SaaS Product

Lucy

A premium hologram-style AI website assistant with a multi-tenant dashboard, RAG knowledge pipeline, in-chat lead capture, and multi-LLM cost routing across OpenAI, Anthropic, Gemini, DeepSeek, Mistral, and Qwen.

Live child-safe AI product

Navi

A privacy-first AI built for children aged 6-17, with age-aware behaviour, child PIN login, a parent dashboard, family and school pricing, and a layered safety system that handles refusals calmly. Live on web and mobile.

Live privacy-first education platform

MumGuardian

A digital safety education platform for families and schools, designed around privacy, child safety, structured content, and role-based product thinking.

Live / Production

GenMus

A structured AI workflow platform (Research → Explain → Structure) that turns a single prompt into validated, reusable knowledge and production-ready content assets.

Live / Production

Dent Hub

A specialist dental technology platform built from real experience in digital dentistry, CAD/CAM workflows, implant planning, and technical service delivery.

What this proves:

  • JTech can turn rough product ideas into structured systems
  • JTech understands privacy-first product thinking
  • JTech builds full SaaS platforms with multi-LLM AI backends
  • JTech connects software, workflow, and AI implementation
  • JTech understands specialist industries, not only generic digital tools

This service is not suitable for every AI idea.

The best AI products start with a clear workflow, defined users, useful data, and a realistic first version.

This may not be the right fit if you need:

  • A vague AI idea with no clear user or workflow
  • A cheap clone of an existing AI SaaS product
  • A high-risk legal, medical, or financial decision system without specialist compliance review
  • A full enterprise platform on a prototype budget
  • An AI product that relies on unsafe or misleading claims
  • A system that should replace human judgment in sensitive decisions without safeguards

For best results, start with one workflow where AI can save time, improve access to information, or help users complete a task more clearly.

Frequently asked questions

Start Your AI Build

Need an AI feature, automation, or product MVP?

Tell JTech what task the AI should help with, what data it needs, who will use it, and what outcome you want. You will receive a practical recommendation and fixed written scope before development starts.

Need AI on your website? Most businesses get the best results starting with a Website + Lucy Lead System (from £1,500) before building custom AI workflows.