Quality-Assured Development Partner — AI Era
The AI era needsa partner who guaranteesrelease quality.
Quality in AI development is decided by how the process and the context are designed — not by the prompt. Lisod builds that design in-house and standardises it as the way we work.
AI agent
Defined workflow × controlled context
Verification gate
Review · verification · security
- Review against written criteria (BrSE, 10+ years)
- Checked against the design, then tested
- Security inspection before release
Production release
Ships with quality assured
- 30+
- Bridge engineers (JLPT N2+)
- 15+
- AI engineers
- 7yrs+
- Delivering for Japanese clients
AI quality is decided by process and context design — not by the prompt.
It is not about who writes the prompt. It is about which steps are followed, which context the agent is given, and which gate verifies the result. Lisod builds that design in-house and maintains it as our standard way of working.
The usual “AI adoption”
Hand over the tool, leave it to the individual
- Quality swings with whoever happens to write the prompt
- Generated code becomes a black box that nobody can maintain
- Neither context nor permissions are controlled — a leak risk
The Lisod approach
Quality guaranteed by a mechanism
- The agent only ever moves inside a defined workflow
- Context is controlled — nothing missing, no excess permission
- Nothing is approved until it has passed the verification gate
Four elements that make quality a mechanism
Four elements that lift AI output to something you can actually ship.
A designed workflow
Design → build → verify → report. The agent follows standardised steps; it does not improvise.
Controlled context
Process, project conventions and domain knowledge are organised, then supplied only where and when needed — nothing missing, no excess permission.
A gate on every deliverable
Review against criteria, a check against the design, a security inspection before release. What does not pass does not ship.
Continuously reviewed
The way we run development and maintenance is not fixed; what we learn on projects feeds back into it.
The same approach can be applied to your own development team.
Our AI development review starts by looking at the workflow and context your AI runs on today.
About the reviewServices
Core
Offshore Development
JLPT N2+ bridge engineers reproduce Japanese reporting discipline, at about half the cost.
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Digital Transformation
Measurable targets agreed up front, then verified on a three-month review cycle.
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Talent Solutions
Foreign IT talent placement, recruiting SaaS (LunaiOne) and AI matching.
Learn more →Track Record
CEC Corporation
