Define the copilot before connecting your data
Scope knowledge access, permitted actions and evaluation together.
Chat copilots
In-product assistants that answer questions, draft content, and guide users in your app's own voice.
Action-taking agents
Assistants that propose or execute approved API actions, with permissions and confirmation rules scoped per task.
RAG knowledge
Retrieve from approved documents and show source references, with evaluation for unsupported or conflicting answers.
Tool & app integration
Connected to your CRM, help desk, database, and internal tools through secure APIs.
Private & secure
Define user permissions, data boundaries and provider retention settings before selecting a deployment.
Release evaluation
Agree representative tests, latency and cost budgets, monitoring and an owner for ongoing review.
Custom AI copilot development, explained
Everything teams want to know about adding an AI copilot or assistant to their product — expand any section.
What we build
We build enterprise AI copilots and assistants: customer-facing support copilots, internal knowledge assistants, sales and research copilots, and in-app AI features. Each one combines a large language model, retrieval over your data (RAG), and function-calling so it can complete tasks with guardrails.
- Customer support and self-service copilots
- Internal knowledge and onboarding assistants
- Sales, research, and analytics copilots
- In-product AI features and chat
How it fits your stack
We review APIs, user permissions and data boundaries before connecting a copilot to your systems. The scope should cover source freshness, unknown answers, confirmation before consequential actions, operating costs and escalation when a connected system is unavailable.
Related AI services
Need voice instead of chat? See AI calling agents. Want to automate a whole process? See workflow automation. Or explore the full AI solutions overview.