RePerspective LabsStart with the operating question.
What problem is being solved, what value should change, and what must stay governed and accountable? Assess technology choices against the operating need and the constraints.
My approach
How I approach enterprise transformation in the AI era.
For operating executives and transformation leaders.
I connect work, decisions, technology and people to understand what needs to change, what must stay governed, and how to build the capability to move forward.
How I approach change
Three principles that guide my work
Evidence over maturity scores.
Decisions are tested against operating evidence: handling effort, resolution time, exceptions, control failures and cost per accepted outcome. Progress is judged by operating results.
Build ownership and lasting capability.
I make reasoning, decisions and responsibilities explicit so people can question assumptions, exercise judgment and sustain improvement.
Questions I focus on
When the next move isn’t clear.
I examine the connections between process, technology, risk and people, especially when an isolated fix cannot resolve the operating problem.
Too much effort, too little improvement
Handoffs, exceptions and rework keep consuming capacity, even after automation.
An AI pilot needs a path into operations
What should be deployed, what needs redesign, and how will value be measured?
Control and ownership are unresolved
Operations, technology and risk need agreement on who can decide, who intervenes, and who is accountable.
The team needs a shared direction
Competing priorities and capability gaps are slowing a change that crosses functions.
Focus areas
Six connected focus areas,
one operating model.
These areas connect work, decisions, systems and people. The operating question determines where to begin and which connections need attention.
Operating-model redesign
Map current work, handoffs and decisions, then redesign the flow, roles and ownership around the outcome.
Useful outputsA current-state view, future-state design and evidence to test.
Automation-to-autonomy roadmap
Review the automation estate and decide what to simplify, modernize or extend with AI and greater system authority.
Useful outputsA sequenced roadmap with value, risks, dependencies and owners.
Bounded-autonomy governance
Define bounded autonomy: the authority a system can exercise, its limits, and when a person must intervene.
Useful outputsDecision rights, control requirements and escalation paths.
Enterprise readiness assessment
Assess the capabilities, operating model and technology foundations needed to turn AI ambition into enterprise value.
Useful outputsReadiness findings, capability gaps, and action priorities.
Leadership alignment
Work through priorities and tradeoffs with the sponsor, operations, finance, technology and risk.
Useful outputsDocumented decisions, responsibilities and unresolved questions.
Workforce capability
Identify the roles, judgment and skills people need to run redesigned work and manage exceptions.
Useful outputsCapability priorities, learning actions and a development plan.
Discovery, research and option assessment shape the approach. Enterprise architecture connects the choices across process, knowledge, data and systems.
Developing clarity and capability
Make the question clearer.
Build the capability to act.
Research, dialogue, operating reviews and mentoring help turn a broad ambition into decisions people can understand and carry forward.
| Practice | Useful when | How I approach it |
|---|---|---|
| Decision exploration | A consequential choice needs clearer assumptions, options and tradeoffs. | Use focused dialogue and research to examine alternatives, then capture the reasoning and open questions. |
| Leadership dialogue | The leadership team needs to resolve priorities, ownership or a shared operating question. | Use facilitated workshops to surface differences, document choices and clarify responsibilities. |
| Operating review | A process or program needs a clearer operating design before investment or expansion. | Examine how work actually runs, connect the evidence to design choices and identify priorities to test. |
| Learning and adaptation | New evidence or changing conditions challenge an earlier decision. | Review assumptions and operating results, then adjust choices while keeping accountability clear. |
| Leader development | A transformation leader wants to strengthen judgment, influence and operating leadership. | Use mentoring and reflection on live challenges to strengthen decision discipline and capability. |
The method follows the question. Useful progress means clearer decisions, explicit ownership and a stronger ability to act.
Experience
Practical judgment, grounded in operating experience.
I’m Shashi Sethi. My background spans software engineering, enterprise architecture, automation leadership and global Centers of Excellence.
I connect technical choices with the people, workflows and controls needed to make them work in practice.
About ShashiExplore the thinking behind my approach.
The Autonomous Enterprise Blueprint