D&D Portfolio Ideas Portal
Create a company-specific LLM/GenAI that codifies technical knowledge, system architecture, and tool/process documentation, enabling teams to self-serve answers without needing multiple cross-functional meetings. This reduces dependency on tribal knowledge and accelerates development.
Development work often stalls due to missing technical information or unclear ownership (e.g., gift card integration requires understanding schema in front-end and middleware).
Relevant documentation exists but is scattered and hard to find; teams revert to meetings to clarify details.
Meetings are costly to schedule, can delay work, and scale poorly as teams grow.
There’s no comprehensive system-level view available for reference, so knowledge lives mostly in people’s heads.
Build a GenAI/LLM trained on internal documentation, system schemas, integration guides, and tool/process descriptions.
Provide a query interface so teams can ask practical, technical questions like:
“What is the expected order schema for gift card in DOMS AWS?”
“Where does EDW fit into our system infrastructure?”
Include references to source documentation so answers are traceable and verifiable.
Optionally, expand over time to cover onboarding, cross-team knowledge sharing, and internal FAQs.
Time savings: Fewer cross-functional meetings required, faster access to technical answers.
Increased productivity: Developers and teams can progress work without waiting for meetings or hunting down documents.
Knowledge retention: Reduces dependency on individual subject matter experts.
Scalability: Supports onboarding and new teams faster, and maintains institutional knowledge as teams grow.
Number of meetings reduced for cross-team clarification.
Average time to resolve technical queries.
Developer satisfaction scores around clarity of system information.
Adoption rate of the GenAI tool across teams.
| Region | GLOBAL |
