Fractional CTO
Senior technical leadership without a full-time hire — for teams that need direction, not just delivery.
- Architecture and technology strategy
- Roadmap, build-vs-buy and cost control
- Hiring, code review and team mentoring
Every engagement here starts from the same question: what are you trying to get to, and what is standing in the way? Most of our clients have real deadlines, real constraints and operations that cannot stop while the software is replaced. So the work is shaped around the outcome you are after — not around billable hours.
Three ways to bring us in. Most clients start with one and grow into another.
Senior technical leadership without a full-time hire — for teams that need direction, not just delivery.
Drop-in senior engineering that ships from day one and leaves your team stronger than it found them.
Business analysis and discovery that turns a rough concept into a scoped, costed, buildable plan.
Most AI projects stall long before the model is the problem. The data it needs is sitting on a device, inside a legacy system, or in a format nothing can query. We work the whole path — from where the data is created to the point an assistant can use it safely.
The unglamorous half: getting your data from where it is created to somewhere a model can reach it, without losing any along the way.
Exposing your systems to an assistant on purpose rather than by copy-paste — with clear boundaries around what it can see and do.
Assistants, speech and automation built into the app your users already have open, instead of another tab they have to remember.
The failure mode is rarely the technology. It is a rollout nobody measured, data that went somewhere it should not have, or a process quietly handed to a model that nobody is accountable for. These are the rules we hold to on every AI engagement.
One workflow with a cost you can actually measure, proven before anything expands. Company-wide rollouts on a hunch are how AI budgets get cancelled.
What leaves your network, what a vendor may train on, and where regulated data is allowed to live — decided deliberately and written down before the first prompt.
Anything touching money, safety or a customer keeps a person approving it, and the system records who decided what. The AI drafts; your team signs.
Evaluated against real cases from your business, so you know the accuracy before your customers find it — and so you can tell when the model starts to drift.
The model is a replaceable part. Your data, your tools and your evaluations are the asset, and they stay portable the next time this market moves.
Some processes should not be automated, and some problems are cheaper to fix with a better screen. We will say so before you have paid for the alternative.
A short review of what data you already hold, what you are throwing away, and what a model would actually need to answer the questions your business cares about. It normally takes a couple of weeks and produces a plan you can cost — often with the useful finding that the first phase is plumbing, not AI.
A short list on purpose. These are the areas where we are genuinely among the people you would want on the problem — mobile, connected devices, and the cloud services that tie them together.
Production .NET MAUI, iOS and Android apps — including the background, offline and lifecycle work most teams get wrong.
BLE central and peripheral, device fleets and hardware integration. We wrote the libraries the industry uses for this.
Location tracking, geofencing and telematics for vehicles and crews working where connectivity is not guaranteed.
The ASP.NET Core services and APIs behind the device — built to deploy cleanly, stay cheap to operate, and hold their shape when the fleet all reports in at once.
Moving legacy .NET Framework and aging mobile codebases onto current platforms without stopping delivery.
Twenty-five years in operations where the software has to survive contact with the real world — trucks, warehouses, job sites, hospital floors and call queues.
Xamarin went out of support in May 2024. The part that stalls these ports is almost never the UI conversion — it is the dependency list. Every abandoned plugin behind Bluetooth, background jobs, location, push, storage and sync has to be replaced by something nobody on the team has run in production yet. That evaluation is where the months go, and where the risk sits.
There is no section of a mobile app where we hand you back a list of options to go research. Pick any part of the old app — the answer already exists.
A dependency and risk pass over the existing solution — what maps straight across, what has no equivalent, and what should not survive the move at all. It comes back as a phased plan you can cost, and the port runs platform by platform alongside your roadmap rather than freezing it.
Legacy .NET is not one problem. A WebForms app, a WCF service layer and a WinForms client each stall for entirely different reasons, and an estimate is only as good as whoever has actually lived in that stack. We have written production code in all of them — including the VB.NET ones nobody wants to open — so the assessment is recall rather than a research phase you pay for.
The page lifecycle, ViewState and server controls have no equivalent, so the markup genuinely is rewritten. The business logic underneath it usually is not — and pulling the two apart is most of the job.
Bindings, behaviours and SOAP contracts do not port. Where the callers are third parties you cannot change, CoreWCF keeps the contract alive while everything behind it moves.
There is nothing to migrate to — the runtime is gone from every browser. These start as a scoping conversation about what the application actually needed to do.
The data layer is where a straightforward port turns expensive. Query translation, transactions and lazy loading all behave differently, and it shows up in production rather than at compile time.
The closest thing to a mechanical port on this list. The real work is hosting, configuration, dependency injection and the middleware pipeline — not your controllers.
Both still run on modern .NET, so this is rarely a rewrite. What blocks it is abandoned third-party control suites and COM interop, which is the first thing we go looking for.
Shared libraries are what let the old and new systems run side by side. Getting them multi-targeting first is usually the unlock for everything else on this list.
Unglamorous, and it is what makes the rest repeatable. It also pays off long before the migration finishes, which is why it is often the right thing to do first.
Nothing on this list gets replaced in a single drop. The shape that works is a strangler: stand the new stack up beside the old one, move a slice at a time behind the same URLs, and keep both running until there is nothing left on the old side. It looks slower on paper, and it is the only version of this we have seen finish.
Tell us what you are trying to build. We will tell you honestly whether we are the right fit — and what we would do first.