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Custom AI Development

Custom AI development for processes that don't fit an app.

Bespoke AI-enabled tools and systems for work that generic software doesn't cover.

When your process doesn't fit an existing product, we design and build the missing piece: internal tools, review workspaces and AI-assisted applications, connected to the systems you already run.

Discuss a solution See how it works
  • Role-based access
  • Documented code handover
  • Connected to your systems

No upfront consultation fee. Free discovery and a free tailored proposal.

The challenge

When generic software doesn't fit the process.

Some work is too specific for a SaaS product and too important to leave in spreadsheets. Teams build workarounds, and decisions wait while someone gathers the facts.

With generic tools
With a custom AI system
Core work running in a shared spreadsheet
A purpose-built tool with roles and a full history
Software that covers half the job
Built around the steps your team actually follows
Data split across systems that don't talk
Records pulled together from each connected system
Decisions waiting while someone gathers facts
AI-prepared summaries ready for the reviewer
Approvals buried in email threads
Approvals recorded in one place, with who and when
What we build

Software your team actually uses.

We build the screens, logic and AI behind work no product covers, and connect them to your existing systems. We don't build standalone websites or online stores.

01

AI-assisted internal tools

Review queues, approval screens and admin panels where your team checks, corrects and approves work the AI has prepared.

02

Intelligent document apps

Applications that read contracts, applications or reports, pull out what matters and show it beside the source.

03

Custom operations portals

One workspace that brings orders, jobs, tickets or cases together from the systems your teams already use.

04

Knowledge assistants

Assistants that answer staff questions from your policies, contracts and records, and show the source for each answer.

05

Decision-support tools

Tools that gather the facts, apply your rules and suggest an option, while the decision stays with your people.

06

Bespoke integrations

The connections the system depends on, built into your CRM, ERP, databases and storage through permissioned APIs.

See how it works

How a custom tool supports a decision.

Rules handle the predictable steps. AI reads and drafts where it helps, and the system puts the decision in front of the right person before anything changes.

See it with
  1. Step 1 of 4Request submitted

    Sales submits a higher credit limit request for Client A

  2. Step 2 of 4Records read, AI drafts

    Pulls payment history and account notes, then drafts a view

  3. Step 3 of 4Rules and review

    Credit manager reviews the summary and approves a smaller increase

  4. Step 4 of 4Systems updated

    New limit written to the accounting system, with the decision logged

    Connected systems updatedSent to a person to decide
AI reads and decides within your rulesAutomated stepsYour team, when a person is needed
Build architecture

One system, built in modules.

Each build has a workspace your team uses, a backend that holds the logic, AI components where they help and the integrations it depends on. Modules can be added later without a rebuild.

Workspace and backend
  • React
  • Python
  • PostgreSQL
AI components
  • OpenAI
  • Claude
  • Gemini
Your custom systemWorkspace, backend and AI
Business systems
  • HubSpot
  • Xero
  • SAP
  • Legacy systems
Hosting and code
  • Google Cloud
  • Supabase
  • GitHub

Role-based permissions and activity logging are built into each layer. Integrations depend on each system's API, your licences and permissions. Where there's no API, we use import files.

API Integrations →
Ownership and deployment

Built for you, hosted where it fits.

A custom system should outlast the project. We agree ownership, hosting and handover before the build starts, so there are no surprises later.

Your bespoke deliverables
You own the bespoke code and deliverables built for your project. Framworq keeps its pre-existing and reusable components and grants the rights you need to use them.
Cloud, private or hybrid
Hosting is assessed per requirement. Some parts can run on your infrastructure while others use cloud AI models.
Access and logging
Role-based access, secrets kept out of code and an activity log. Data handling, AI providers and hosting are confirmed per project.
Documented handover
Code in your repositories, with documentation and a walkthrough.
Our work

Bespoke systems, in daily use.

Two custom research systems in daily use by client teams, plus solution showcases for contract review, product images, store intelligence and quotations.

Client workAll client workView all →
Private credit · Company intelligenceHow a Private Credit Firm Researches a Target Desk in About 7 Minutes~7 minper desk, unattended90%+coverage on target desksRead the case study → Capital markets · Research & outreachHow a Capital-Raising Team Cut Investor Research from 15 Minutes to 170%shorter deal pipeline timeline15×faster than by handRead the case study →
Solution showcasesAll solution showcasesView all →
Law Firms

AI contract review tool for your legal playbook

Contracts checked clause by clause against your playbook, with cited issues ready for a lawyer to review and decide.

See the workflow → E-Commerce

AI product photography for e-commerce

A few product photos in, a consistent set of store, marketplace and banner images out, approved before publishing.

See the workflow → E-Commerce

Shopify inventory management and dashboard

Competitor prices, stock forecasts and profit in one view, with restock orders drafted for the owner to approve.

See the workflow → Manufacturing

Quotation software and RFQ automation

Multi-item RFQs read from email, matched to your catalogue and priced by your rules, ready for sales to approve.

See the workflow →
How we work

From process map to working software.

  1. 01

    Process mapping

    We map the work step by step, who does what and where your current tools fall short.

  2. 02

    Solution design

    We agree the screens, roles, AI components, integrations and hosting, in modules you can extend.

  3. 03

    Build and test

    We build in short phases and test against real cases, including the edge cases, before launch.

  4. 04

    Launch and hand over

    We go live, train your team and hand over the code and documentation.

Every project has an agreed scope and acceptance criteria before the build starts.

Project scope

Scoped around your process.

Every custom system is different, so we scope yours around the process, the people who use it and the systems it connects to. These factors shape it.

Application complexity
A single-purpose tool, or a multi-user system with several roles.
Users and roles
Who uses it, and what each role can see, edit and approve.
Data and documents
Structured records, or documents that need reading and indexing first.
Integrations
How many systems it connects to, and whether they have modern APIs.
Interface depth
A simple review screen, or a workspace used across several teams.
Hosting and security
Cloud, private or hybrid. Hosting and AI usage fees are separate.
Guides

Guides on this

Guides n8n alternatives: when Make, Zapier or Power Automate are a better fit 9 min read Solutions How to build an AI voice agent with Vapi end to end 10 min read Guides Zapier limitations and when to move to custom automation 7 min read Solutions How to automate workflows with n8n for reliable business operations 8 min read
All insights
FAQ

Custom AI development questions.

Straight answers about scope, data, ownership and support. Can’t find yours? Ask us directly below.

What counts as custom AI development?

Work an off-the-shelf tool can't do for you: internal tools and review workspaces, AI-assisted applications, knowledge assistants that answer from your own documents, and the integrations they depend on. We build the AI components, the backend, the interface and the deployment, not just a prompt. We don't build standalone websites or online stores, but we can connect to yours where its APIs allow.

How is this different from automation or an AI agent?

Automation moves data between systems in the background, and an AI agent works through a multi-step task within set limits. Custom AI development builds software your people use: a workspace where they see the facts, review what the AI has prepared and make the decision. Many projects combine all three.

Do we need a custom app?

Often not. If an existing tool plus an automation does the job, we'll recommend that, because it is quicker to deliver and simpler to run. A custom build makes sense when people need a screen to review and approve work, when the process doesn't fit any product, or when off-the-shelf tools can't meet your data or access rules.

Can it work with our legacy systems?

Usually. Where a system has an API, we connect to it with scoped permissions. Older systems without one can often be reached through database access, scheduled exports or import files. We check what each system allows during discovery, before we commit to an approach.

What is a RAG application and when do we need one?

RAG (retrieval-augmented generation) grounds an AI model in your own documents and records, so answers point to real sources instead of the model's guesses. You need it when staff must get answers from policies, contracts, product data or past cases. We build the ingestion, the search index, the retrieval layer and the app on top.

Who owns the code, and how is handover managed?

You own the bespoke code and deliverables we create specifically for your project, as set out in the agreement. Framworq keeps its pre-existing libraries and reusable components, with the rights your team needs to use the system, and third-party software stays under its own licences. We deliver into your GitHub repositories with documentation, environment setup and a walkthrough, so your team or another developer can run, extend and maintain the system.

Can it be deployed privately or in our own cloud?

It can. We deploy to your own cloud account, such as Google Cloud, to a managed server, or a hybrid of the two. Some components can run on your infrastructure while AI models run in the cloud, depending on your requirements. Data handling, AI providers and hosting are confirmed per project.

How do we validate the AI outputs?

We agree test cases from your real data before the build, then measure the AI components against them before launch and after changes. In use, outputs show their sources, rules check them where possible, and a person reviews anything that affects a decision. No AI system is right every time, so review stays part of the design.

Can we expand the system later?

Yes. We build in modules, so new screens, integrations or AI features can be added without starting again. The code and documentation stay with you, so your own developers can extend it too.

Ask us on WhatsApp
Next step

Tell us what existing software can't do.

Walk us through the process your current tools don't fit. We'll show you what a custom system could look like and prepare an initial plan around it.

Discuss a solutionNo upfront consultation fee. Free discovery and a free tailored proposal.
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