01
Leadership & direction
CTO Advisory and Technology Strategy
Setting technical direction, reviewing architecture, and turning business goals into a roadmap an engineering team can actually deliver.
Services · advisory · architecture · delivery
Choose the right first engagement.
Start with an architecture review, an AI feasibility assessment, or retained CTO leadership. Broader development, integration, and delivery services remain available when your project needs them.
Scope, deliverables, fees, access requirements, and timing are agreed in writing before work begins.
Engagement areas
Explore all ten service areas.
Use the offers above for a defined starting point, or discuss a custom engagement.
Read the full approach →
02
Platform design
Platform Architecture
Designing multi-tenant SaaS platforms end to end, from schema and tenancy model through API design to release strategy — typically Laravel and Vue.js on the app layer, with RabbitMQ-based microservices where components need to run independently.
03
Hands-on development
Web & Application Development
Building and shipping web applications end to end on Laravel and Vue.js — REST APIs, admin consoles, and WordPress/WooCommerce development when a client's stack already runs there.
04
Mobile engineering
Mobile Application Development
Native and hybrid mobile apps built with Flutter, React Native, and Ionic — from an offline-first POS to a customer-facing companion app, shipped to the App Store and Google Play.
05
Data & schema design
Database Development & Design
Designing the schema underneath a platform — multi-tenant data models and migrations — plus the reconciliation work that makes a legacy-data import trustworthy rather than just complete.
06
Full-cycle build
SaaS Product Development
Building the SaaS product itself — API, admin console, billing, and the mobile or device surfaces around it — end to end, not only the architecture behind it.
07
Organisation & delivery
Engineering Team Build-Out
Hiring, onboarding, mentorship and delivery cadence, including building a department from scratch to 20+ developers and designers.
08
Systems & data
Systems Integration and Legacy Data Migration
Getting systems that were never meant to talk to each other to do so reliably — including integrations with no API, and WordPress/WooCommerce extensions where the client already runs on that stack — and migrating legacy data with a reconciliation report rather than a hopeful import.
09
Applied AI + product architecture
AI/ML Architecture & Development
Designing AI and machine-learning capabilities around the business problem: data readiness, model selection, evaluation, application integration, and the path to production. Grounded in LLM-powered workflows, marketing intelligence, and self-hosted AI.
10
AI infrastructure
Self-Hosted AI Deployment
Standing up purpose-tuned models on AWS or other dedicated infrastructure you control, so AI features do not run on metered third-party credits.
Questions and answers
Questions about technology consulting
What does CTO advisory cover?
CTO advisory helps a business set technical direction, review architecture, and turn business goals into an engineering roadmap. Engagements can be fractional or retained, depending on the scope.
Can you help with an existing SaaS platform?
Yes. Platform architecture work covers multi-tenant foundations, permissions, APIs, integrations, and release strategy. Systems integration and legacy data migration are also available when existing products need to work together.
Do you take on hands-on development work, or only advisory and architecture?
Yes. Alongside CTO advisory and architecture, hands-on web, mobile, database, and SaaS product development are all available — building the product itself, end to end, when the engagement calls for that rather than just designing it.
What development stacks do you work in?
Laravel and Vue.js for web applications, Flutter, React Native, and Ionic for mobile, and MySQL/PostgreSQL for the multi-tenant schemas underneath — plus WordPress/WooCommerce and RabbitMQ-based microservices where the engagement calls for them.
How do systems integration and legacy data migration engagements work?
Systems integration covers connecting products that were never meant to talk to each other, including services with no exposed API. Legacy data migration is delivered with a reconciliation report rather than a one-time import, so what moved and what didn't is visible before go-live.
How does AI/ML architecture differ from self-hosted AI deployment?
AI/ML architecture and development cover the use case, data flow, model choice, evaluation, and integration into the product. Self-hosted AI deployment focuses on running the models on infrastructure you control. They can be commissioned separately or combined in one agreed scope.
What is self-hosted AI deployment?
Self-hosted AI deployment means running purpose-tuned models on your own infrastructure. The engagement focuses on the models and systems needed for your AI features, with scope agreed before work begins.
How are scope and consulting rates agreed?
Scope and rates are confirmed after a short conversation about the work. Use the contact form to describe your business, the engagement you need, and the problem you are trying to solve.
Scoping conversation
A short conversation is usually enough to find the real problem.
Send the context for your AI/ML, advisory, architecture, development, team, or integration challenge. We will agree the useful first step and the scope.
Start a Scoping Conversation