Engagement Path: Collaborative Delivery

Build With Me.
Build your Replit application together.

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.

Suitable for larger internal projects
De-risking the introduction of AI

AI capability is becoming a business requirement. Most organisations do not yet have it in house.

01 / THE BUSINESS RISK

The capability gap

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.

THE SAFER ROUTE

Develop capability around someone the business already trusts.

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.

  • Company knowledge remains inside the business
  • AI decisions stay connected to real operational needs
  • The organisation becomes less dependent on external delivery
  • Future improvements can be assessed and managed in house
THE PRINCIPLE

Businesses do not need to predict every change in AI. They need trusted internal people who can understand those changes and apply them responsibly.

UK business adoption

AI use is moving quickly into the mainstream.

2.9×increase in reported use
Growth in reported AI use among UK businessesReported AI use among UK businesses with 10 or more employees increased from around 12 percent in late 2023 to around 35 percent in June 2026.
12%Late 2023
35%June 2026

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.

One engagement. Two outcomes.

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.

Working Software

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.

  • Production-ready software delivered to specification
  • Full source-code ownership transferred to the buyer
  • Infrastructure, publishing and operational setup completed with the participant
  • Robust, scalable architecture suitable for future growth

Internal Capability

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.

  • Practical use of modern AI-assisted delivery workflows
  • Deep understanding of the specific application architecture
  • Experience leading later delivery cycles with support

Distinction from training: This is not a traditional educational programme. Our primary objective is to deliver working software. Learning occurs through practical implementation on a real codebase, rather than theoretical exercises. If structured individual learning is your primary goal, explore dedicated 1:1 tutoring

Commercial model

A defined project budget for software and capability transfer.

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.

Indicative engagement

Smaller internal application

£25k–£40k

Focused operational software with a contained workflow and limited integrations.

Indicative engagement

Serious operational platform

£40k–£75k

A substantial live system with multiple workflows, users and business integrations.

Indicative engagement

Complex multi-module system

£75k–£150k+

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, Founder and Lead AI Architect
Founder-led delivery
Your Lead Architect

Stefan Piekutowski

Direct guidance from the person leading the build.

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.

Product and technical architectureLead developmentHands-on guidanceModule reviewDeployment supportCapability assessment

This keeps delivery, training and handover connected. Your staff member learns within the real decisions and constraints of the application being built.

Transfer of Responsibility

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.

Phase 1: Setup
AI Architect (80%)
Participant (20%)
Phase 2: Guided Build
AI Architect (60%)
Participant (40%)
Phase 3: Staff Modules
AI Architect (30%)
Participant (70%)
Phase 4: Handover
AI (10%)
Participant (90%)

The percentages describe the intended balance of responsibility, not guaranteed hours or output. Progress depends on demonstrated capability and project complexity.

Profiles and Commitments

A collaborative delivery model requires specific conditions to succeed. We must align on the participant profile and the business commitments before commencing.

The Ideal Participant

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.

  • Business analysts and product managers
  • Operations, automation or data specialists
  • Developers building stronger product capability

Business Commitments

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.

  • Protected time agreed during project scoping
  • Clear business sponsorship for the engagement
  • Access to domain stakeholders to guide product direction
  • A formal capability review every four weeks
Every four weeks

Formal Capability Review

We assess progress against the agreed target level and provide a short written review to the sponsoring director.

  • Technical understanding
  • System thinking and independence
  • Build quality and security awareness
  • Troubleshooting and delivery leadership
Capability assessment

Decide how far the handover should go.

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.

Level 01

Manager Level

For someone who needs to manage an AI-assisted software project, make informed decisions and coordinate users, suppliers and delivery priorities.

  • Define problems, scope and success criteria
  • Manage requirements, priorities and risks
  • Review progress and make delivery decisions
  • Ongoing delivery and technical support from AI Architect
Level 02

Architect Level

For someone who will shape solutions, understand the application architecture and build or oversee selected modules with AI assistance.

  • Design workflows, data and system structure
  • Build and review selected application modules
  • Guide testing, security and deployment decisions
  • Ongoing advanced support from AI Architect
Level 03

Lead AI Architect Capability

For someone expected to take end-to-end technical ownership, from product architecture and full-stack development through to publishing and live operation.

  • Lead frontend, backend, data and integrations
  • Configure infrastructure and publish releases
  • Own technical decisions and first-line investigation
  • AI Architect available as third-line specialist support

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.

After handover

Choose the level of continuing support.

The engagement ends with one of three clear operating models, based on the capability demonstrated and the organisation’s preferred level of external support.

01

Independent

No monthly support

Your staff member takes ownership and leads continued development internally.

02

Supported

£1,500–£6,000 / month

They lead delivery while AI Architect remains available as an advisory or active technical safety net.

03

Managed

£6,000–£12,000+ / month

AI Architect continues as the organisation’s architecture and development partner.

Example Engagement

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.

REPLIT PROJECT ENVIRONMENT
LIVE
SETUP
LEAD BUILD
GUIDED MODULES
OWNERSHIP

Independent delivery using Replit

Phase 01

Set Up and Introduce Replit

We prepare the project environment with the participant, introduce Replit and establish how source code, requirements, access, infrastructure and delivery will be managed.

Phase 02

Lead Architect Builds

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.

Phase 03

Staff Member Builds Modules

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.

Phases 04-05

Gradual Handover

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.

Ready to build capability?

Tell us what your business needs to improve and who you would like to develop. No technical specification is required. Start with the business problem.