Generative AI development in enterprise software
Large organizations keep knowledge across wikis, ticketing tools, CRMs, and file shares. Generative AI lets people ask across all of them, as long as it respects who is allowed to see what.
Where generative AI fits
- Search assistants that answer from internal knowledge sources.
- IT and HR helpdesk assistants that answer from policies and past tickets.
- Agents that automate multi-step workflows across internal tools.
- Code and documentation assistants for internal engineering teams.
What shapes the build
Permissions
Retrieval must apply the same access rules as the source systems, so the assistant never surfaces a document the user could not open themselves.
Connector breadth
Each source system has its own format and its own freshness problems. The number of sources drives much of the effort.
Deployment requirements
Security teams often require the system to run in your own cloud account or data center.
Adoption
A tool nobody uses returns nothing. Track usage and flagged answers from the first release.
What we ask first
- Which systems hold the knowledge people need, and who owns each one?
- How are permissions defined in those systems today?
- Where must the system run to pass your security review?
- Which team will use it first, and how will you know it helps?
Services that apply
This page describes the field. We have not published a case study in enterprise software yet. The case studies page lists the work we have.