I help organisations maintain, improve, modernise and extend business-critical software, from inherited .NET applications and SQL Server systems to Azure and practical AI-enabled products.
Start with the outcome, not a predetermined technology
The right engagement may be ongoing software support, a focused maintenance sprint, an independent review, a modernisation roadmap, an AI proof of value or ongoing technical leadership.
Existing software support and maintenance
Keep valuable business software dependable, maintainable and useful without assuming it needs to be replaced.
.NET Software Support & Maintenance
Ongoing or focused support for existing C#, .NET, .NET Framework, SQL Server and Azure applications: bug fixing, enhancements, integrations, upgrades, performance and reliability work.
Inherited application takeover
Understand an application you have inherited, establish how it builds and deploys, identify risks and dependencies, and create a practical plan for safe ongoing ownership.
Architecture and technical direction
Independent clarity before a significant technical or commercial commitment.
Architecture Review
Assess structure, delivery risk, resilience and technical debt, then turn the findings into a prioritised improvement roadmap. Focused reviews are scoped around the platform, its risks and the depth of analysis required.
Fractional Technical Leadership
Senior architectural and engineering direction during growth, organisational change or a critical delivery programme.
Modernisation and delivery
Move important software forward while protecting customers, operations and accumulated business knowledge.
Legacy .NET Modernisation
Create a staged route from .NET Framework towards modern .NET and Azure without relying on a high-risk rewrite.
Modern .NET & Azure Delivery
Focused delivery for APIs, integrations, cloud services, performance, resilience and production-ready software.
Practical AI enablement
AI Opportunity & Readiness Review
Prioritise valuable use cases, assess data and architecture readiness, and define a governed proof of value. Reviews are scoped around the priority use cases, current readiness and the level of technical validation required.
AI integration and delivery
Design and implement RAG, knowledge assistants, agentic workflows and AI-enabled product capabilities with security, evaluation and human accountability built in.
A typical route from uncertainty to delivery
- Assess: establish the problem, evidence, constraints and risks.
- Decide: agree priorities, architecture and a proportionate roadmap.
- Deliver: run a focused implementation, prototype or stabilisation phase.
- Embed: transfer knowledge and provide ongoing leadership where useful.
Start with the decision you need to make
You do not need a perfectly defined brief. Tell me about the software you need to maintain, the platform constraint, delivery problem, AI opportunity or strategic decision that is difficult to resolve.
