Knowledge retrieval
Connect approved documents and data so answers can point back to relevant sources.
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DESIGNED FOR REAL WORKFLOWS / 03Explore the service
BUBBLES AI / SERVICE 03
Custom AI Systems.
Custom AI development builds agents, copilots and knowledge systems around your own data, users and constraints. We focus on the specific work the system must perform, how its answers are checked, and how your team will use it.
Discuss a custom AI systemDESIGNED FOR REAL WORKFLOWS / 0301 / THE REASON
Why this matters
A general model does not know your documents, permissions or business rules. A useful custom system connects to the right sources, shows where an answer came from and is tested against real tasks before release.
02 / THE WORK
What goes into a custom build
Evaluation cases
Create representative checks from your real workflows and use them to assess changes.
Prompt and workflow design
Version the instructions, tool calls and review steps that shape system behaviour.
Handover
Document the system, its dependencies and the process for operating and improving it.
03 / THE OUTCOME
A scoped AI system with evaluation results, operating documentation and a clear handover plan.
04 / QUESTIONS
Common questions
How is a custom AI system different from a ChatGPT prompt?
A custom system connects to permitted business data, follows a defined workflow and can be tested against cases that matter to your team.
Can it use our existing data and tools?
Often yes, subject to access, data quality and security requirements established during discovery.
Who owns the finished system?
Ownership, access and handover terms are agreed in the project scope before work begins.