Copilots that help users navigate complex UIs, answer “how do I…” questions, and reduce friction in everyday work.
Walk users through complex flows, configurations, and edge cases — without leaving your app.
Answer policy, how-to, and product questions with citations to your real documentation.
Recommend actions based on context, history, and what similar users did successfully.
Generate summaries, replies, and first drafts so users start from something — not a blank page.
Aware of the current view, record, user role, and recent actions — not generic chat.
Answers tied to your docs, data, and product knowledge — with sources surfaced.
Refusals, fallbacks, and clear “I don't know” signals to avoid confident wrongness.
Thumbs, edits, and analytics that turn real usage into prompt and content improvements.
A real copilot is more than a chat box. It needs product UX, retrieval plumbing, and operational discipline.
Model selection, prompts, retrieval, and evaluation harnesses.
Embedding the copilot inside your existing product, with the right context.
Conversational and inline UX patterns that fit your product's hierarchy.
Versioned prompts, model rollbacks, and cost-aware deployments.
Identify the highest-leverage moments where a copilot would actually help.
Build a narrow, real copilot for one workflow with real data.
Add evals, guardrails, observability, and a feedback loop.
Move into adjacent workflows once the foundation is proven.
Agentic AI that plans and executes multi-step workflows using your tools.
RAGRetrieval-augmented assistants that surface answers grounded in your content.
AutomationWorkflows that replace repetitive manual steps with AI-enhanced orchestration.
Tell us where the friction lives. We'll scope a copilot pilot that earns its place — or recommend something simpler.
Tell us about your project