AI & AUTOMATION PACKAGE

Custom AI System

A proprietary AI product or internal platform, designed, built and operated to production standards.

THE SITUATION

Sometimes the workflow you need does not exist as an off-the-shelf tool. Custom AI System is a full product engagement: strategy, design, architecture, build, QA and deployment for a bespoke AI-powered application under your brand and control.

OUTCOMES YOU CAN EXPECT

What changes in your business after this ships.

A production-grade AI product or internal platform designed around your exact workflow.

A codebase, infrastructure and IP that belong entirely to your company.

Architecture that is transparent, documented and safe to evolve in-house.

A UX designed for the humans who will actually use it every day.

A launch plan that de-risks go-live with pilots, staged rollout and monitoring.

WHAT'S INCLUDED

Everything you get in this package.

Fixed scope, transparent handoff. Every deliverable is built on your accounts and left with your team.

·Product strategy
·UX/UI design
·Architecture
·Development
·AI integrations
·QA
·Deployment
·Maintenance

HOW WE DELIVER

A predictable four-step delivery.

Discovery

Product strategy, user research and success criteria — signed off before we design anything.

Design

UX/UI, architecture and prompt/agent design, prototyped in weeks — not months.

Build

Iterative development against a shared backlog with weekly demos and clear acceptance criteria.

Launch & operate

QA, deployment, monitoring, documentation and an operating handover to your team or ours.

TIMELINE & INVESTMENT

Timeline

8–20+ weeks depending on scope

Investment

Custom quote after a paid discovery sprint.

Built under your accounts, documented for your team, and maintained after launch.

TYPICAL TOOL STACK

The tools this package usually runs on.

OpenAIAnthropicGoogle GeminiSupabaseVercelFirebaseStripeGoogle Workspace

RELATED CAPABILITIES

Capabilities delivered inside this package.

AI Assistants and Internal Copilots AI Agents Automation Maintenance and Support

FREQUENTLY ASKED

Questions founders ask before starting.

Do we own the code and IP?

Yes, fully — including model prompts, agent designs, infrastructure and repositories.

Can our own engineers take it over later?

That is a core design goal. Everything ships with documentation, tests and a handover plan built for in-house teams.

Whose accounts is this built on?

Yours. Every tool, API key and data source stays under your company's ownership. If you ever decide to run the system without us, you keep everything.

How do you handle our data?

We work inside your existing tools with role-based access. We never train third-party models on your data, and sensitive fields are masked or kept out of prompts when needed.

What happens after go-live?

You get documentation, a runbook, monitoring and an included maintenance window. Ongoing optimisation, new workflows and version upgrades are handled under a monthly retainer if you want it.

NOT THE RIGHT FIT IF…

If a workflow can be solved with existing tools plus automation, custom software is the wrong answer — start with an audit or an operations package.

See the AI Launch Audit

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