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FRAMEWORKS

Designing how
enterprises operate.

Practical models for connecting work, knowledge, governance and human judgment in the AI era.

Shashi Sethi

Founder, RePerspective Labs

FLAGSHIP FRAMEWORK

The Autonomous Enterprise Blueprint

A leadership map for turning AI ambition into an accountable operating capability.

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Twelve practical models. A connected view of enterprise operations.

Autonomous Enterprise

The Autonomous Enterprise Blueprint

The capstone framework for the Autonomous Enterprise: the five foundations beneath AI-era operations and the orientation layer connecting the deeper RePerspective Labs frameworks.

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Digital Operating Model

Digital Operating Model

Use six interdependent operating dimensions to decide what must change together, who owns the dependencies, and what evidence justifies expanding an AI-enabled business capability.

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Digital Operating Model

Redesigning Work Around Outcomes

A practical method for tracing an outcome, challenging the work, comparing AI with simpler options and proving a bounded redesign before committing to wider use.

14

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From Automation to Autonomy

From Automation to Autonomy

Use a five-stage maturity curve to assess one workflow, identify the dependency that limits progress, and choose the next evidence-based commitment across automation, AI assistance, bounded autonomy, and adaptive operations.

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Bounded Autonomy & Governance

Bounded Autonomy

Specify the seven boundaries around delegated AI decisions, connect them to enforceable controls and human response, and decide when authority should be granted, narrowed, restored or expanded.

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Bounded Autonomy & Governance

Governing AI-Enabled Operations

Connect enterprise accountability, policy and funding to the authority of each AI-enabled service. Decide what may run, what evidence leaders need, and when to change or stop the operation.

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Bounded Autonomy & Governance

Assuring AI Services from Release to Retirement

A method for connecting service claims, evaluation and operating evidence to accountable decisions about release, continued use, change and retirement, with explicit conditions, human responsibilities and limits.

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Enterprise Knowledge Backbone

Enterprise Knowledge Backbone

Use seven connected dimensions to establish which knowledge a workflow can rely on, assign responsibility for its use and upkeep, and test readiness before extending AI assistance or delegated action.

12

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AI-Era Operations

Human-in-the-Loop Synergy

A practical framework for deciding where human judgment belongs, where AI can assist or act, and what knowledge, authority and operating capacity make that relationship effective.

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Workforce Transformation

AI-Era Workforce Capability

A six-layer framework for developing human capability in AI-enabled work. Define role-specific behaviors, demonstrate readiness, and decide what training, support or operating redesign is needed before responsibilities expand.

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Leadership in the AI Era

Leading the Change to AI-Enabled Operations

A practical change management method for one AI-enabled operation: connect employee consequences, sponsor commitments, manager routines and credible adoption evidence to decisions about sustained use.

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Self-Healing Enterprise

Self-Healing Enterprise

Decide which recurring disruptions can be handled automatically, where human intervention is essential, and what evidence proves recovery across the business service. Connect five dimensions through one accountable operating loop.

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11 frameworks