Consulting / Agentic AI Operating Model & Teams
A USEFUL STARTING POINT
This is for you if ....
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AI adoption is changing roles without clear ownership.
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Teams disagree about who approves or oversees AI-enabled work.
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Cross-team dependencies are slowing adoption.
THE SHORT ANSWER
How should our people and agents work together?
An Agentic AI operating model describes how people, AI capabilities, teams, decisions and governance work together. Team design translates that model into practical roles, responsibilities, interfaces and ways of working.
SCOPE YOUR ENGAGEMENT
Choose The Work That Fits
Explore each service and its proposed deliverables.
Agentic AI Operating Model
Design the organizational system around human and agent work.
Map capabilities, responsibilities and decision rights across the organization. Define where agents may act, where humans remain accountable and how oversight connects to daily work.
Proposed outputs
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Target operating model blueprint
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Human–agent responsibility map
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Decision and escalation structure
AI-First Team Design & Setup
Give teams a clear purpose, role structure and working rhythm.
Translate the target model into team-level responsibilities and collaboration. Identify capability needs, ownership boundaries and the routines needed to learn from delivery.
Proposed outputs
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Team charter and role map
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Skills and capability development plan
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Team interfaces and working agreements
Business Agility & Organization Design
Connect priorities, team structures and the flow of work.
Review how work and decisions move across the organization. Design practical changes to dependencies, portfolio alignment and learning loops.
Proposed outputs
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Value-stream and dependency view
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Organization design recommendations
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Improvement and review cadence
OUTPUTS TO AGREE
Make the work tangible
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A target operating model blueprint
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An AI-first team design
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Named decision rights and interfaces
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A transition and capability plan