What we do
Services
We build software that has to hold up: under load, under change, and under audit. Our work is designed to improve operational efficiency, streamline workflows, and make clinical trials run better. What follows is what we actually do, and what an engagement includes.
Prices and durations are not published here. We describe the shape of the work; the numbers come out of a scoping conversation.
The catalogue
Six practices, one delivery model
Every one of them now runs through agentic implementation. What changed is who writes the code — not the standard the work has to meet.
-
Rapid application development
Working software in front of users early, not at the end. Short build loops, real data, and decisions made against something you can click.
- A working slice of the real application in the first iteration — not wireframes, not a slide deck.
- Fixed-length build loops, each ending in a demo run against representative data.
- Requirements written as acceptance criteria and executable tests, so "done" is not a matter of opinion.
- Direct access to the engineers doing the work. No account-management layer between you and the build.
-
Global delivery
Clients across regions and regulatory regimes. We adapt to your working hours, data residency constraints, and review cycles, rather than the reverse.
- Overlap hours agreed at kickoff and held to, with a written handover at the end of each working day.
- Data residency and access boundaries designed in from the start: where code, data, and logs live is a decision, not an accident.
- Documentation written for people who were not in the room — including reviewers and auditors who arrive later.
- Vendor, subprocessor, and access questions answered in writing before work begins.
-
Bespoke development
We design, build, deploy, and maintain software shaped to how your organization actually works, not to how a product vendor wishes it did.
- Domain modeling first: entities, states, and transitions are written down before anyone builds a screen.
- Integration with the systems you already run — EDC, CTMS, document stores, identity providers, finance and ERP.
- Deployment pipelines, monitoring, and runbooks delivered as part of the build, not sold back to you afterward.
- Source code, tests, infrastructure definitions, and documentation are yours from day one, in your repositories.
-
Startup mode
For teams that need to move before the answer is fully known. Ship something small, put it in front of users, correct quickly.
- A first release scoped to one job done properly, rather than six jobs done partially.
- Risk taken deliberately: we name the assumption, the cheapest way to test it, and what happens if it fails.
- Instrumentation from the first release, so feedback is evidence rather than anecdote.
- An architecture that is disposable in the parts that should be and durable in the parts that matter.
-
Cloud and Azure
Azure environments designed, hardened, and run properly. Identity, networking, cost, and compliance treated as engineering problems, not tickets.
- Landing zone, subscription, and identity design — Microsoft Entra ID, role assignments, and least-privilege boundaries that survive review.
- Infrastructure defined as code, so environments are reproducible and every change is reviewable.
- App Service, Functions, SQL, Storage, Key Vault, and container workloads configured for the load you actually have.
- Cost, capacity, backup, and recovery reviewed on a schedule, with findings written down and acted on.
-
SharePoint administration
SharePoint and Microsoft 365 estates kept orderly: permissions, sites, content, and search that behave predictably and hold up under audit.
- User, group, and permission management, with an inheritance model you can explain to a reviewer.
- Site and content architecture: metadata, content types, retention, and lifecycle rules.
- Search configuration and tuning, so people find the document instead of re-creating it.
- Migration, tenant hygiene, and governance policy — with automation for the parts that repeat.
AI engineering
Every one of these is now delivered by agents
The six practices above are unchanged. What changed is who does the implementation.
AI coding agents now carry the bulk of the build: writing the code, the tests, the migrations, the infrastructure definitions, and the documentation. Humans set the architecture, the constraints, the acceptance criteria, and the sign-off. Nothing merges without a person accountable for it. The effect is compressed timelines, smaller teams, and a change history that can be read end to end.
-
RAD, when agents do the implementation
The build loop gets shorter than a meeting cycle. A change discussed in the morning can be running in a review environment the same day, with tests attached. That shifts the constraint from typing speed to decision speed — which is where it should have been all along.
-
Global delivery, when agents do the implementation
Time zones matter less when work continues against a written specification rather than a conversation. Agents run against the constraints and acceptance criteria we agreed, and the transcript of what was done is there in the morning. Handover stops depending on someone remembering to write it.
-
Bespoke development, when agents do the implementation
Custom stops being expensive. The economics that pushed organizations toward ill-fitting off-the-shelf products were mostly implementation labor, and that cost has moved. Building the system your process actually needs is now a reasonable default rather than a luxury.
-
Startup mode, when agents do the implementation
Two candidate designs can be built and compared instead of argued about. Prototypes become cheap enough to be genuinely disposable, which makes it far easier to throw away the wrong one early.
-
Cloud, when agents do the implementation
Infrastructure as code is where agents are strongest: declarative, testable, and reviewable. Environments get rebuilt rather than patched, and drift between staging and production stops being tolerated because fixing it is no longer tedious.
-
SharePoint and estate administration, when agents do the implementation
The repetitive work — permission audits, content inventories, tenant reporting, bulk remediation — becomes scripted, scheduled, and logged. What was a recurring manual chore turns into a job with an output you can file.
How the delivery model works What runs inside each increment
Engagement models
How to start
Three ways to work with us. We recommend starting with the first.
-
Discovery slice
A short, fixed-scope engagement that ends with working software rather than a document. We take one real problem — the integration that keeps breaking, the report nobody trusts, the workflow that runs on spreadsheets — and build a genuine slice of the solution against your data and constraints.
You end up with: a running slice, a written architecture and delivery plan, an honest assessment of the hard parts, and enough evidence to decide whether to continue. If the answer is no, you keep everything we built.
-
Project delivery
A defined system, built to an agreed scope and acceptance criteria. We set the architecture and quality gates up front, run the agentic build loop against them, and demonstrate progress against working software at every checkpoint.
You end up with: the system in your environment, with source, tests, pipelines, infrastructure definitions, runbooks, and documentation. Handover is part of the plan, not a negotiation at the end.
-
Ongoing platform support
For systems already in production — ours or someone else's. Change requests, upgrades, cloud and tenant administration, cost and security reviews, and the steady maintenance work that keeps a regulated system in a defensible state.
You end up with: a named senior engineer who knows your system, a predictable cadence for changes, and a written record of what changed and why.
Tell us what you need built
Not sure which one fits? Describe the problem in a few sentences. We will tell you what we would do, and whether we are the right people to do it.
Or email contact@wecsharp.com. A senior engineer reads every message.