AI-native software delivery

Enterprise software, built by AI agents. Governed by engineers.

WeCSharp builds regulated enterprise applications with AI agents carrying the implementation. Engineers set the architecture, the constraints and the acceptance criteria, then sign off every release. Underneath it all: years of shipping enterprise software in healthcare and clinical trials.

  • Coding agents do the implementation, on a model chosen to fit your security and data-residency rules.
  • Human gates at architecture, acceptance and release. Every approval recorded.
  • Written for environments governed by HIPAA, GxP and 21 CFR Part 11.

The only address we use is contact@wecsharp.com. There is no phone queue and no sales team behind it.

How one change moves from requirement to release Four stages run top to bottom: a human writes the specification and acceptance criteria; an AI agent implements one criterion at a time; automated gates run the build, tests, analysis and coverage; a human reviews, assembles evidence and signs off the release. A return path sends any failed gate back to implementation. HUMAN GATE Specification and acceptance criteria AGENT An AI agent implements each criterion AUTOMATED Build, tests, analysis, coverage HUMAN GATE Review, evidence, release sign-off ON FAILURE
A red gate stops the change and returns it to implementation. Nothing reaches a release without the two human gates.

How we build

Agents write the code. Engineers decide what ships.

Requirements become numbered acceptance criteria. Agents implement against them inside a repository with the gates already built. A named engineer reads every diff and signs every release.

  1. Understand the constraint

    Before scope, we find out what actually governs the system: the regulation, the integration, the deadline, or the process nobody is allowed to change.

  2. Set the architecture and the gates Human gate

    Humans decide the domain model, the boundaries, the acceptance criteria, and what a change has to pass before it merges. This is where the experience goes.

  3. Build with agents, against those gates

    The coding agent carries the implementation — code, tests, migrations, infrastructure, documentation — inside the constraints we set, with every change reviewed and attributed.

  4. Demonstrate, hand over, support Human gate

    Progress is shown as working software, not status reports. Everything ships to your accounts and repositories, with runbooks and documentation included.

The full delivery model

Where we work

Built for environments where software has to be defensible

We specialize in developing enterprise software solutions for the healthcare industry. Our team understands the unique needs and challenges of the sector, and we build custom software that addresses them — systems that improve operational efficiency, streamline workflows, and make clinical trials run more effectively.

Regulated work sets a higher bar than most software. Records need audit trails. Changes need approvals. Access needs boundaries. "It works" is not the same as "it can be shown to work." We design for that from the schema up, rather than bolting it on when the auditor books a date.

  • Clinical trial operations. Protocol-driven workflow, study and site data, monitoring, deviations, and reporting that reconciles.
  • Regulated records. Audit trails, electronic signatures, versioning, and retention designed with 21 CFR Part 11 expectations in mind.
  • Health data. HIPAA-governed information handled with the segregation, minimization, and logging it requires.

How we work inside HIPAA, GxP and 21 CFR Part 11 expectations How we got here

What we do

Six practices, one delivery model

Bespoke software designed to improve operational efficiency, streamline workflows, and make clinical trials run better. Every practice below is now delivered through an agentic build process.

  • AI engineering and agentic delivery

    AI coding agents carry the bulk of the build inside a conditioned repository: house rules, fixtures, linters, tests and CI already in place. They work against the specification, not against a vague prompt — and nothing merges on an agent's word.

    How the delivery model works

All services

Under audit

Why this holds up under audit

Regulated projects rarely fail because people wrote code too slowly. They fail because nobody can prove what changed, why it changed, who agreed to it, and whether the thing that was validated is the thing that is running.

How this usually goes How we run it
A reviewer's attention is the quality gate, and it varies with the week they are having. Gates are pipeline steps. The same standard applies to every change, at any hour.
The trace matrix is reconstructed months later from commit messages and memory. Every commit references the requirement it serves, so the matrix is assembled from the repository.
The validated build cannot be recreated, because nobody can rebuild the environment. Pinned toolchains, lockfiles and containerized builds mean a tag rebuilds to the same artifact.
Documentation describes a system that no longer exists. Design specifications, risk notes and test evidence are generated with the code and versioned beside it.
Approval lives in an email thread somebody has to go and find. Human approval is recorded at architecture, acceptance and release, each against a named person.
The hundredth screen is built to whatever standard the sprint allowed. House rules live in the repository as text and are enforced in CI.

Every quality gate we run

What you will not find here

How we talk about results

What we don't do

Tell us what you need built

Most engagements start small: one system, one integration, one workflow that has outgrown its spreadsheet. Describe it in a few sentences and we will tell you how we would approach it — and whether we are the right people for it.

Or email contact@wecsharp.com. A senior engineer reads every message.