Smaller internal application
£25k–£40kFocused operational software with a contained workflow and limited integrations.
We deliver the system while developing the person who will own it internally. The result is a substantial application, reduced dependency on external suppliers and a structured transfer of technical responsibility.
Many business owners want to introduce AI but do not yet have the skills, internal capability or trusted people needed to lead it. As a result, valuable projects remain on hold even when the business case is clear.
AI tools are developing quickly, but effective use requires more than access to software. People need to understand how to define the right problem, guide the tools, assess their output and turn experiments into reliable business applications.
Without that capability, organisations risk spending money on disconnected experiments, unsuitable systems or external suppliers who do not fully understand how the business works.
An internal AI Architect combines practical AI delivery skills with knowledge of the company’s people, processes, constraints and priorities. As the tools develop, that person can evaluate opportunities, change the application and manage its continued use from inside the organisation.
THE PRINCIPLEBusinesses do not need to predict every change in AI. They need trusted internal people who can understand those changes and apply them responsibly.
Source: Office for National Statistics, Artificial intelligence in UK businesses: 2023 to 2026. Adoption figures cover businesses with 10 or more employees and are self-reported.
The project combines hands-on product delivery with practical capability transfer. AI Architect leads the architecture and critical delivery while helping your staff member build confidently within the same live system.
We take responsibility for the technical architecture and delivery of your application. You receive a production-ready system built to professional standards, capable of serving real users.
By building alongside AI Architect, your nominated participant develops the skills to maintain and extend the application with increasing independence. Responsibility transfers gradually, with support throughout.
We agree a defined project budget and delivery envelope. It covers architecture, lead development, guided implementation, review and capability transfer. Internally, that budget is managed through an agreed hourly allocation.
Focused operational software with a contained workflow and limited integrations.
A substantial live system with multiple workflows, users and business integrations.
A larger platform involving advanced architecture, AI, security or compliance requirements.
Final pricing depends on system complexity, integrations, AI requirements, security, the participant’s starting point and the target capability level.

Stefan Piekutowski
Build It With Me is led directly by AI Architect’s founder and Lead Architect. The person making the architectural decisions is also explaining them, reviewing the participant’s work and deciding when responsibility can safely transfer.
This keeps delivery, training and handover connected. Your staff member learns within the real decisions and constraints of the application being built.
Over the course of the engagement, we deliberately shift the balance of effort. We begin by establishing the foundations and end by acting as an advisory safety net while your staff member leads.
The percentages describe the intended balance of responsibility, not guaranteed hours or output. Progress depends on demonstrated capability and project complexity.
A collaborative delivery model requires specific conditions to succeed. We must align on the participant profile and the business commitments before commencing.
The participant does not have to be the most technical employee. The strongest candidates understand the business deeply, think systematically, communicate clearly and are comfortable taking responsibility.
The nominated participant needs protected time to take part in discovery, delivery and review. The minimum expected commitment is one to two days each week, depending on scope and target capability. A Level 3 outcome may require more.
We assess progress against the agreed target level and provide a short written review to the sponsoring director.
Before delivery begins, we assess the participant, the application and the company’s long-term needs. A director then agrees the capability level we are working towards. This decision shapes the project scope, transfer depth, delivery budget and continuing support.
For someone who needs to manage an AI-assisted software project, make informed decisions and coordinate users, suppliers and delivery priorities.
For someone who will shape solutions, understand the application architecture and build or oversee selected modules with AI assistance.
For someone expected to take end-to-end technical ownership, from product architecture and full-stack development through to publishing and live operation.
The target level is agreed, not assumed. Reaching it depends on the participant’s starting point, available time, demonstrated progress and the complexity of the live application.
The engagement ends with one of three clear operating models, based on the capability demonstrated and the organisation’s preferred level of external support.
Your staff member takes ownership and leads continued development internally.
They lead delivery while AI Architect remains available as an advisory or active technical safety net.
AI Architect continues as the organisation’s architecture and development partner.
Every engagement has an agreed project budget and delivery envelope. The work moves from platform setup through lead delivery, staff-led modules and supported ownership.
Independent delivery using Replit
We prepare the project environment with the participant, introduce Replit and establish how source code, requirements, access, infrastructure and delivery will be managed.
AI Architect establishes the application foundations and builds key elements. The staff member follows the decisions, contributes context and learns through explanation, observation and guided participation.
The participant takes responsibility for selected modules and features. AI Architect provides guidance, reviews the work, explains risks and helps resolve issues without taking ownership away from them.
The staff member leads an increasing share of delivery, including publishing to the server and operating the technical setup at the agreed capability level. Source code and system ownership transfer to the buyer while AI Architect moves into the agreed support role.