RePerspective LabsBoard and C-suite
Start with strategic intent, value design, and risk appetite. Connect the value you want to create with the governance boundaries needed to support it.
Start with value →OPERATING BLUEPRINT
Connect the decisions behind AI-era operations.
The Operating Blueprint brings six dimensions of operating design into one view. Use it to decide what needs to change, how the choices depend on each other, and who will own the result.
Value, work, knowledge, authority, people and evidence—six connected dimensions.
WHERE TO START
Start with the decisions you are responsible for.
Department and process leaders
Start with workflows, decision rights, and ownership. Identify the workforce capability and controls needed to make the change work in your operation.
Start with the operating model →Transformation leaders
Start with the intelligence needed inside the work. Connect trusted data and knowledge with governance, human capability, and continuous improvement.
Start with intelligence →THE SIX DIMENSIONS
See how the pieces fit together.
Choose a dimension to explore its decision and the connections to check.
01 / VALUE & OUTCOMES
Strategic Intent & Value Design
Choose the operating problems worth solving, the value that should change, and the priorities that will guide investment.
THE DECISION
Which operating problem is worth solving, and what measurable value should change?
CONNECTIONS TO CHECK
02 / WORK & DECISIONS
The Digital Operating Model
Translate intent into workflows, decision rights, accountability, roles, and the way people and intelligent systems work together.
THE DECISION
How should work, decisions, and accountability change when systems can recommend and act?
CONNECTIONS TO CHECK
03 / KNOWLEDGE & CONTEXT
The Intelligence Ecosystem
Connect data, enterprise knowledge, AI, and trusted context with real workflows so people and systems can act on relevant information.
THE DECISION
Is the knowledge needed for this decision current, trusted, and available inside the work?
CONNECTIONS TO CHECK
04 / AUTHORITY & CONTROLS
Bounded Autonomy & Governance
Define what systems may do, the evidence required, and the ownership, monitoring, and intervention needed to keep that authority accountable.
THE DECISION
Which actions may AI take, who may authorize exceptions, and when must a person intervene?
CONNECTIONS TO CHECK
05 / PEOPLE & CAPABILITY
Human-AI Workforce Capability
Develop the judgment, AI fluency, oversight, and decision discipline people need as their work and responsibilities change.
THE DECISION
What must people be able to judge, challenge, and own as AI becomes part of everyday work?
CONNECTIONS TO CHECK
06 / EVIDENCE & ADAPTATION
The Continuous Evolution Loop
Use friction, exceptions, drift, and feedback to improve the operating model, with named owners and a deliberate review rhythm.
THE DECISION
How will the operation detect friction, learn from signals, and approve changes over time?
CONNECTIONS TO CHECK
These dimensions describe what must work together. The six phases in the Transformation Hub guide how change moves into operation.
HOW TO USE IT
Begin with the operating question, not the technology.
01
What operating problem are you trying to solve?
02
What value should change if AI works?
03
Which parts of the operating model must change?
04
What must remain governed, human-centered, and accountable?
Use these questions to clarify the problem, connect the operating choices, and identify the right dimension to start with. Then use the Transformation Hub to plan execution, ownership, and improvement. Revisit the design as evidence changes.
ILLUSTRATIVE APPLICATION
One invoice exception, six connected choices.
Assumed starting point: staff chase missing invoice information across disconnected systems. Use the blueprint to connect proposed decisions with the evidence needed to judge them.
DIMENSION
PROPOSED OPERATING CHOICE
EVIDENCE TO SEEK
01 Value & outcomes
Reduce avoidable rework while keeping payment risk within agreed limits.
Baseline exception age, rework, and error rate.
02 Work & decisions
Name one exception owner and define the handoffs needed to resolve it.
Resolution ownership and handoffs per exception.
03 Knowledge & context
Bring current purchase orders, receipt data, and policy into the review.
Source freshness and missing-information rate.
04 Authority & controls
Let AI propose a resolution; authorized people approve exceptions.
Approval records, overrides, and boundary breaches.
05 People & capability
Equip staff to challenge recommendations and handle escalations.
Decision quality and ability to explain an override.
06 Evidence & adaptation
Review recurring exceptions and approve changes to the process.
Repeat exceptions, quality trends, and change records.