Software Factory
A rebuilt software workflow: agents plan, build and review in parallel, and a person approves every merge.
Built an internal operations platform for our first client, and the Suquo desktop app.
A1Forward-deployed AI engineering
Your organization is now editable.
Suquo Systems is forward-deployed AI engineering. We embed with your teams, learn how your work actually gets done, and build AI systems that make it faster and leaner, and better every time it runs.
The shiftB1
Process used to live in people.
Most of how an organization works was never written down. It lived with experienced people, in handoffs and email threads. Changing a process meant retraining people, so processes stayed fixed long after they stopped fitting.
The shiftB2
AI changed the material.
Agents can now follow written instructions, use real tools, and check each other's work. For the first time, a workflow can be run directly from a description of it.
The shiftB3
So the organization becomes editable.
Once a workflow is written down as steps, rules, checks and sign-off points, it can be run, measured and improved like software. Changing how you work becomes an edit, not a reorganization.
The shiftB4
Most companies are adding AI to people, one task at a time.
A chatbot here, a copilot there. The gains stay small.
The large gains in speed and efficiency come from rebuilding the workflow itself.
The service · Forward-deployed AI engineeringC1
That rebuild needs an engineer inside.
No one can redesign a process they haven't watched. So we work inside your teams, map how the work really moves, and build AI systems that take over the repetitive parts. Your people keep the decisions.
How we workC2
Five steps, from watching to handing over.
- EmbedWe join your team and watch the real work.
- MapWe trace one workflow end to end.
- CodifyWe write down the steps, rules and checks.
- BuildWe run the AI systems next to the current process.
- Hand overWe train your team to run and change it.
How it worksD1
What a workflow looks like, rebuilt with AI.
Sometimes one automated step, sometimes the whole workflow. The parts are always the same.
- IntakeRequests arrive with "done" already defined.
- PlanThe work is split and routed.
- WorkAgents work in parallel, to written rules.
- CheckTests and an independent review.
- Sign-offA person makes the final call.
- DeliverDelivered and logged.
Pick a workflowExample
ImproveD2
And it keeps improving.
Every run leaves a record, so the system gets better as it works.
Lessons become better rules.
ResultsE1
What it has produced so far.
CAD Factory
From design brief to 3D model, costed bill of materials and dimensioned drawings. Agents work directly in Rhino.
Piloted on one millwork wall unit.
Your workflow
Any process your team repeats, where the steps are known.
Proposals · procurement · reporting · onboarding · internal tools
ProofF1
Already running inside our first client.
Embedding with our first client is how the software factory came about. They now use it to build their own systems.
- in daily use, not a pilot or a demo
- In production
- many changes built at once, each in its own lane
- Parallel
- every change checked by a separate agent and approved by a person
- Reviewed
The same method now runs a CAD pilot
The client stopped asking for an app. They asked for the system that builds them.
ContactG1
Bring us one workflow.
Pick a process your team repeats every week. We'll show you what it looks like rebuilt with AI.