We design and build AI copilots that work alongside specific people and roles in your organization—combining conversational depth with process-level awareness, and wiring the links between the employee, their manager, and the organization.
A copilot is not just a chat window your people talk to, and it is not a pipeline that runs on its own. It is a co-worker built around a role: the employee works with it in the flow of their daily tools, the manager draws insights from it, and the organization gains visibility into the value it creates. Reusing the same conversational, tool-use, and automation capabilities as our other systems, but organized around people rather than conversations or processes.
A copilot is the more complex combination of both a conversational assistant and process-level automation—built around a specific role and connected to the people around that role. The employee uses it; the manager sees its output and insights; the organization sees where it creates value.
Works with the copilot as an always-on co-worker inside the tools they already use—drafting, retrieving, summarizing, automating repeatable steps, and getting grounded answers.
Faster, higher-quality work with a co-worker that knows the role's context and constraints.
Sees what the employee and the copilot have produced together—outputs, progress on tasks, and the insights the copilot surfaces from the role's activity.
Real-time visibility into the work being done, without having to chase status reports.
Gains a view of how the role operates across time—patterns, bottlenecks, and outcomes that inform better decisions and broader process improvements.
Organization-level visibility into where AI assist, and where the process needs to change.
The real capabilities that help an employee work faster and better—while staying in control of every outcome.
The copilot understands what the employee is working on right now—the record, ticket, document, or task in view—and grounds its help in that context.
Help that lands in the moment, reducing context-switching and repeated re-explaining.
Connects to internal knowledge, documents, and data sources to answer questions against the organization's own information.
Accurate, policy-aligned answers with traceable sources instead of guesswork.
Drafts responses, notes, and updates, and summarizes long documents or conversations for fast assimilation.
Knowledge workers keep accountability while the copilot removes the writing and reading overhead.
Completes routine steps inside the role's workflow—filling fields, triggering follow-ups, preparing the next action—while the employee approves the outcomes.
Removes the manual tail of tasks without removing the person from the loop.
Reads and acts across the internal and external tools the role actually uses, with permissions scoped to what the role may do.
The copilot works in the employee's real environment, not a separate application.
Every meaningful action is reviewed by the employee before it ships, with feedback wired back into improving the copilot over time.
Confidence that the copilot amplifies judgment rather than replacing it.
A copilot lives in the role's real environment, with permissions and auditability that make it safe at scale.
The copilot inherits the permissions of the role it supports, so it can only see and do what the employee is allowed to.
Deep context from the systems the role lives in—CRM, helpdesk, documents, messaging, internal portals.
Retrieval grounded on the organization's own knowledge base, policies, and data sources.
Actions are logged, and employee feedback feeds continuous improvement of correctness and tone.
Concrete roles and functions where a co-worker copilot changes the game for the employee, the manager, and the organization.
Frontline workers juggle tasks, equipment, and stock information across systems, while managers lack visibility into day-to-day execution.
A role-specific copilot guides each worker through their tasks, answers operational questions in context, and surfaces completion and bottleneck insights to management.
Support teams handle complex, nuanced cases that need judgment, drawing on scattered product and account context.
An assist-style copilot for each agent drafts responses, summarizes the case, and suggests next steps—while the agent owns every reply to the customer.
Employees in finance, HR, and legal spend hours on drafting, retrieval, and routine steps across multiple applications.
A co-worker copilot handles the drafting, summarizing, and repeatable steps in each function, with approvals left to the accountable employee.
A chatbot is the conversation itself—a system customers or employees talk to, holding a thread and driving that interaction with tools behind it. A copilot is a role: an employee works with it inside their own tools and workflow, and the manager and organization see the value it produces. A copilot can reuse chatbot-style interaction (threads, tools, retrieval), but it is organized around a person and the people around them—not around a chat window.
Process automation runs a business process at the business layer—closer to the backend, like a recruiting pipeline that executes end to end. A chatbot can sit on top so people query it for insights, but that is access, not the automation's main exploit. A copilot works beside a specific role, can interact with automation to pull those insights, and adds the multi-stakeholder view—employee working with it, manager watching its output, organization seeing the pattern.
Yes. The conversational, tool-use, retrieval, and automation capabilities we use in chatbots and process automation all appear inside a copilot. The difference is framing and orchestration: a copilot binds that capability to a role and exposes it to the people around that role, rather than to an external audience or a standalone process.
Every copilot is scoped to the role's own permissions, grounded on the organization's knowledge, logged for auditability, and requires human review before meaningful actions ship. Feedback from employees feeds continual improvement, so the copilot stays accurate and aligned with how the organization actually works.
Let's identify the roles where a co-worker copilot will deliver the most value—for the employee, the manager, and the organization.