Role & task design
Define user roles, priority tasks, context requirements, allowed actions, and success metrics.
Etelligens develops role-aware copilots for service, sales, operations, engineering, knowledge work, and enterprise applications with grounded context, secure actions, and measurable productivity outcomes.
We design copilots around specific job tasks rather than broad conversational capability. That keeps evaluation tied to time saved, quality improved, or decisions accelerated.
The architecture can combine retrieval, application context, workflow state, enterprise APIs, tool calling, structured outputs, and human approvals.
Usage analytics and evaluation help teams see which suggestions are accepted, where users override the system, and how the copilot should evolve.
Copilots can be embedded in web and mobile products, CRM, service portals, internal tools, engineering environments, and custom enterprise applications.
Define user roles, priority tasks, context requirements, allowed actions, and success metrics.
Combine application state, user permissions, enterprise knowledge, history, and real-time data.
Design suggestions, citations, editability, confirmations, confidence cues, and human control.
Allow copilots to create drafts, query systems, prepare changes, trigger workflows, and request approvals.
Measure usefulness, acceptance, accuracy, time saved, task completion, and common override patterns.
Apply access control, data boundaries, audit logs, output policies, and sensitive-action safeguards.
Copilots create the strongest value when they reduce cognitive load without removing user control over consequential decisions.
Summarize cases, surface knowledge, draft responses, recommend next steps, and prepare updates.
Prepare account context, meeting briefs, follow-ups, opportunity insights, and CRM updates.
Explain exceptions, assemble data, prepare actions, and guide users through complex procedures.
Support code understanding, test generation, documentation, runbooks, troubleshooting, and technical search.
Our multidisciplinary team connects product strategy, data, AI engineering, application integration, security, quality engineering, and change management.
Study the target role, workflow, systems, decision points, context gaps, and repetitive effort.
Select tasks, context, interactions, actions, approvals, and measurable productivity outcomes.
Integrate models, retrieval, enterprise context, tools, user experience, evaluation, and observability.
Use adoption and feedback signals to refine suggestions, expand tasks, and manage lifecycle changes.