Managed AI workforce role

Executive support amplified by controlled AI workflows.

A trained professional supporting research, reporting, meetings, communication and executive coordination with human verification built into every material output.

AI Executive Assistant: a trained professional using AI inside documented workflows, with human accountability for material decisions and outputs.

Typical responsibilities

  • Executive research and briefings
  • Meeting preparation and follow-up
  • Reporting and document workflows
  • Communication and coordination

Example AI-enabled workflows

01

Daily executive brief

Configured around approved information, review criteria, escalation rules and measurable output standards.

02

Meeting intelligence workflow

Configured around approved information, review criteria, escalation rules and measurable output standards.

03

Decision and action tracker

Configured around approved information, review criteria, escalation rules and measurable output standards.

04

Verified research pack

Configured around approved information, review criteria, escalation rules and measurable output standards.

How Lymora deploys the role

  1. Define responsibilities, systems, risks and performance measures.
  2. Select and assess a suitable professional.
  3. Build applied AI and role-specific workflow capability.
  4. Onboard the operator into client context, SOPs and controls.
  5. Review quality, performance, wellbeing and workflow improvement.

See the frameworks behind the deployment →

Explore a managed ai executive assistant.

Share the role, recurring work and current capacity gap. Lymora will recommend the right scope, onboarding and management model.