Example deployments

Implementation in a software house

A software house uses AI in analysis, programming, testing, documentation, and client communication, so the implementation must cover both code security and clear rules for project teams.

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Implementation in a software house

A software house uses AI in analysis, programming, testing, documentation, and client communication, so the implementation must cover both code security and clear rules for project teams.

Devproject teams
codecode security
auditacknowledgements
Implementation scope

What the implementation includes

Creating a list of AI tools used by developers, testers, analysts, and project managers.
Describing rules for source code, client data, tickets, repositories, and technical documentation.
Preparing checklists for internal projects, client projects, and work with external AI tools.
Sending rules to team members and monitoring acknowledgements.
Preparing public information about responsible AI use in the service delivery process.
Impact for the organization

Key benefits

Consistent rules across multiple projects and clients.
Lower risk of using AI in a way that conflicts with contracts, NDAs, or security rules.
Easier reporting of team readiness before an audit or client discussion.
Application screens

System elements used in this deployment

In a software house, acknowledgements, assigning rules to teams, and a quick status overview are the most important elements.

Sending rules to teams

A manager can send rules to selected people and monitor acknowledgements for each email address.

Rules for project work

Checklists help organize rules for code, client data, documentation, and tools used in the project.

Ask about your organization

Would you like to discuss implementation in your organization?

Tell us about your processes, teams, and goals, and we will prepare an implementation proposal tailored to the real needs of your organization.

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