I design and build bespoke operational software for growing UK businesses - replacing spreadsheets, disconnected apps, and manual coordination with structured, scalable systems.
From internal management platforms to client portals and custom SaaS products, each system is built around how your organisation actually operates.
Most companies begin with standard software.
Over time, processes are layered on top: manual handovers, duplicated data, reporting inconsistencies, and workflows enforced by habit rather than structure.
As the organisation grows, operational complexity increases - but the underlying systems remain fragmented.
The result:
I design and develop custom business systems that:
Each platform is architected for long-term stability and sustainable growth.
Before development begins, I map:
Map how work actually moves through the business: triggers, handovers, approvals, exceptions, and the "messy middle" that people handle manually. Define the happy path and the real-world edge cases, then design the workflow so it remains stable under interruptions, peak load, and imperfect inputs.
Identify where decisions happen (and who makes them), then turn judgement calls into explicit rules: validations, thresholds, routing, escalation, and what happens when information is missing. The goal is predictable outcomes: the same inputs produce the same decisions, and incorrect actions are blocked or surfaced immediately.
Define the entities that matter (customers, orders, appointments, stock, jobs, invoices, etc.) and how they relate: one-to-many, many-to-many, state changes, timestamps, and source of truth. This prevents duplication, contradictions, and "which spreadsheet is right" problems, and it enables reliable reporting.
Specify roles, permissions, and ownership: who can view, edit, approve, override, export, and audit. Build accountability into the system with clear responsibility, audit trails, and controlled exceptions - so the process doesn't rely on memory, informal power, or constant checking.
The outcome is structured digital infrastructure that supports predictable execution and clear oversight.
AI is integrated where it strengthens operational performance, including:
It is embedded within the system architecture - not added as superficial functionality.
Projects usually start with:
Work begins with a structured diagnosis phase, followed by phased development and controlled rollout.