L10 — Agents Application Layer

Who does what — when humans and AI work together.

Intelligent Responsibility Assignment for Hybrid Teams

When AI agents join your workforce, traditional responsibility assignment becomes more complex. The RACI Matrix extends the classic Responsible-Accountable-Consulted-Informed framework to include virtual employees, defining not just who owns what, but how AI agents participate in each process — as active contributors, silent observers, note-takers, or escalation handlers. This creates clarity in hybrid human-AI teams.

What RACI Matrix delivers

01

Hybrid Team Design

Assign responsibilities across human and virtual employees in a single, unified matrix. See at a glance where AI handles tasks, where humans lead, and where they collaborate.

02

Participation Modes

Virtual employees can be active participants, silent note-takers, escalation receivers, or quality reviewers. Each mode defines different behavior and visibility rules.

03

Dynamic Reassignment

As virtual employees mature and gain confidence in specific processes, responsibilities can shift automatically — with human approval gates at each transition.

04

Coverage Analysis

Identify processes with no clear owner, tasks with too many stakeholders, and handoff points where communication breaks down. The matrix reveals organizational inefficiencies.

How it connects across the stack

RACI Matrix works in concert with other layers in the intelligence stack — each connection amplifying the capability of both components.

Virtual EmployeesSOP LibraryMaturity ModelStrategic Plan

Why it matters

Eliminate confusion about who — human or AI — owns what. Reduce dropped balls, improve handoff quality, and create a clear governance structure for hybrid teams that scales as your AI workforce grows.

See RACI Matrix in action

Discover how RACI Matrix fits into your enterprise intelligence strategy.

Request a Demo →