How we work
Senior humans decide. The factory executes.
A small number of U.S.-based experts sit at the center of every engagement. Around them runs a software factory of specialized AI agents that handle the scalable work, under hard gates for security, quality, and auditability.
The factory pipeline
From requirements to monitored systems.
The factory turns requirements into specs, specs into code, code into tested increments, increments into released software, and released software into monitored systems. Agents run each stage. Humans approve what moves to the next one.
Structure
A small core. A wide factory.
Architects, principal engineers, and delivery leads sit at the center of every engagement. They set direction, review what the factory produces, and own the outcome. The agents around them handle the volume: implementation, test generation, documentation, triage, and operational load.
This is not "the same team, now onshore." It's fewer people overall, higher velocity, and tighter control.
Method
Alongside, then handback.
For Right Shore AI engagements, we don't start by asking you to rip out your current team. We start alongside it, on both sides: the AI factory takes on routine work immediately, while your own employees begin stepping into the roles that will own it long-term.
As your team ramps and the factory proves itself, offshored resources wind down and Consitora's experts step back. What's left is your people, running Home Shore, with the operating model already embedded.
Governance
Agents execute under hard gates.
Security gate
Every change is checked against access, data handling, and dependency policy before it moves forward.
Quality gate
Automated and human review confirm the work meets spec and passes tests before release.
Audit gate
Every decision, approval, and change is logged, so the full history of the system is always reconstructable.