Generative AI can help people draft, search, summarize, and transform information, but a convincing demo is not the same as a dependable product feature. We design for the full experience: useful inputs, relevant context, understandable outputs, and a clear route when the model is uncertain.
Generative AI capabilities we can build
Draft and transform content
Support content workflows such as first drafts, rewriting, structured extraction, and tone or format adjustments.
Ask questions over knowledge
Connect conversational experiences to selected documents or business information, with attention to source context and access boundaries.
Help users complete tasks
Guide people through complex interfaces or workflows with contextual explanations and carefully scoped suggestions.
What it takes to make a feature useful
- Task and interaction design — Clarify who the feature helps, what information it needs, and how users review or edit its output.
- Prompting and grounding — Structure instructions and provide relevant context where needed, while accounting for missing or conflicting information.
- Quality evaluation — Create a representative set of examples and review outputs against agreed measures before and after changes.
- Controls and operations — Plan privacy boundaries, usage limits, fallback responses, monitoring, and a route for user feedback.
Build confidence before expanding scope
We start with a narrow, testable use case and representative content. A prototype helps validate the interaction and identify failure modes before deeper product integration. From there, we can iterate on quality, connect the capability to your systems, and prepare operational guidance around its intended use.
For AI features inside an existing application, see AI integration. For software performing a sequence of tool-based tasks, explore AI agent development.