You write what a change must do. The factory builds it, tests it and shows it works. An engineer, yours or ours, approves every change.
connected facts, each with its source, in the Company Brains we operate
conversations and cases handled by our AI agents
of the code we deliver is written by AI
A live product, and more on the roadmap than your team can deliver this quarter. The factory builds features. Your engineers decide what to build.
An ERP, a CRM and internal systems your team mostly maintains. The factory makes changes on your systems. AI agents take over your team's time-consuming processes.
AI Agents →A forward deployed engineer, a senior engineer of ours inside your team, finds where AI brings a measurable result first.
Features, retrieval, copilots and agents inside your product, built by the factory on your repository.
The factory →AI agents in your processes, each one measured on your real cases and run daily.
The agents →The AI Software Factory, plus two of its lines for what already runs: QA to protect it, legacy to modernize it.
The factory →The input is a spec as your product team already writes it: expected behavior, acceptance criteria and scenarios.
The factory decides the implementation. It reads your architecture and conventions before it touches anything.
One test per criterion, failure paths included.
Desktop and mobile, with screenshots attached.
Requirement to file to test. Six months later, your team can read why a line of code exists and which test covers it.
What ran, what was verified, what was corrected.
The check did not write the tests. It blocks loosened assertions, skipped steps and emptied validations, the fastest routes to a green build.
The factory opens a pull request and stops there. An engineer on your team, or ours, approves every change before it is merged. Each approval is recorded in your repository's history.
When a spec has a gap, the factory asks a precise question, and the task waits for the answer.
The same roadmap for the factory and for agents. For the factory, your current numbers come from your repository history.
A 45-minute working session, then a week with your forward deployed engineer inside your operation. They write three specs from your backlog or, for an agent, sample your real cases.
Factory, weeks 2 to 4: the three specs become pull requests your team approves. Agents, weeks 2 to 7: one agent handles a real queue of your cases.
We operate the factory on your code, or run the agent daily, and extend to more modules, repositories or agents.
We take them in the first week. Every month after is measured against them.
Your forward deployed engineer writes specs with your people, builds the solution and is accountable for the result in production.
Our engineers work in time zones aligned with your working day.
The factory runs in production on a Dynamics 365 and .NET architecture with years of history, under the client's CI, conventions and review flow.
Everything the factory produces (readable code, tests and records) stays in your repository, under your version control. If you stop working with us, it all keeps running.
Three numbers are being measured on a factory in production: changes per week, share approved on the first pass, time from spec to pull request. Each is published here with its source when its measurement closes.
The same forward deployed engineers specify each agent before it is built and report its quality at production volume.
Long conversations by voice or text, for support, intake, sales discovery, interviews and assessment. Each ends with a record backed by exact quotes.
Conversational agents →Document processing, research and analysis, review and monitoring. The agents weigh the evidence, a person decides, and false alarms are measured.
Decision agents →Paid media, attribution, CRM reporting and audits of the chatbot and the sales team. A person approves every change.
Marketing and sales agents →An agent for the product owner. It answers what the product does, from the code in production, and what is broken, decided or open, citing the source.
Product agents →Agents that run IT operations, help desk and back-office workflows across your systems. Exceptions go to a person.
Talk to us →It stays in your repository and can grow into a Company Brain, one connected record of how your company works.
An engineer on your team, or ours, approves every change before it is merged. They review a pull request with the reasoning, the diff, the tests and the proof that it works. Each approval is recorded in your repository's history.
Everything the factory produces: readable code, the tests, the records that link each change to its requirement, and the proof that it works. It is in your repository from the first commit, under your version control, and you need no license from us to use it.
In your infrastructure: your repository, your CI, your environments. Our access is the minimum needed, and it ends when the engagement does.
The factory stops and asks. For a spec with a gap, it sends a precise question, and that task waits until someone answers it.
Our engineers work in time zones aligned with your working day. Your forward deployed engineer joins your standups.
Bring three pending changes to a 45-minute session. You leave with their specs and a plan for the factory, whether or not we work together.