Transform
Enterprise AI Transformation, AI Strategy, AI Opportunity Assessment, Operating Model Design.
MANNY SEKHON Executive AI Transformation Portfolio
Enterprise AI Transformation & Strategy Leader.
AI Strategy | Operating Models | AI Governance | AI Adoption | Strategic Execution | Value Realization
I bring 15+ years leading enterprise transformation in healthcare, public sector, insurance, and other regulated environments — and I now apply that same operating discipline to AI: assessing where it creates real business leverage, designing AI-enabled workflows, and building the governance that lets organizations adopt it without losing control.
Founder of Dream Dwell, a founder-led AI Transformation & Strategic Operations practice connecting business priorities, responsible AI, operating models, and measurable execution.
15+Years of enterprise transformation leadership
05Regulated healthcare & public-sector environments
SPCSAFe 6.0 Program Consultant · ICP-ACC · CSM
DDFounder, Dream Dwell — AI Transformation & Strategic Operations
Executive profile
From enterprise transformation to AI strategy leadership
Manny Sekhon has spent 15+ years leading enterprise transformation across healthcare, public sector, insurance, and regulated environments — turning business priorities into scalable operating models, redesigned processes, and executive decision support.
That transformation discipline now extends directly into AI strategy: assessing where AI creates real business leverage, designing AI-enabled workflows, applying responsible-AI principles through human oversight and decision traceability, and building the operating models that let organizations adopt AI without losing control of it.
Extends into
- AI Strategy
- AI Opportunity Assessment
- AI-Enabled Workflow Design
- AI Governance
- Decision Intelligence
- Workflow Modernization
- Operating Model Design
- Executive Advisory
Delivery & Governance Certifications
- SAFe 6.0 Program Consultant (SPC)
- ICAgile Certified Professional — Agile Coaching (ICP-ACC)
- Certified ScrumMaster (CSM)
Proof
15+
Years of enterprise transformation leadership
150+
person Agile Release Train supported
~25%
~30%
improved sprint predictability · reduced blocker-resolution time
15+
Years of enterprise transformation leadership
150+
person Agile Release Train supported
~25%
~30%
improved sprint predictability · reduced blocker-resolution time
experience scale execution results
What Manny leads
AI Strategy & Transformation Capabilities
Capabilities positioned around executive outcomes — not tools.
Govern
Responsible AI, AI Governance, Healthcare & Regulated Enterprise Transformation.
Realize
Decision Intelligence, Workflow Modernization & Automation, Strategic Operations, Executive Advisory, Change Management & AI Adoption.
See full capability list (12)
Enterprise AI Transformation
Lead the shift from AI experimentation to governed, measurable enterprise adoption.
AI Strategy
Define where AI creates real business leverage and how it should be sequenced.
AI Opportunity Assessment
Evaluate workflows, readiness, risk, and value to prioritize AI investment.
Operating Model Design
Architect the operating mechanisms that connect strategy, governance, and delivery.
Responsible AI
Apply human oversight, evidence grounding, and evaluation criteria to AI-assisted work.
AI Governance
Establish decision rights, traceability, auditability, and escalation for AI-enabled workflows.
Decision Intelligence
Convert unstructured signals into structured, evidence-based recommendations.
Workflow Modernization & Automation
Redesign fragmented processes into governed, measurable workflows — automating where it reduces friction without removing accountability.
Strategic Operations
Connect priorities, roadmaps, governance, and executive reporting into one operating rhythm.
Executive Advisory
Advise leaders on AI strategy, operating models, value realization, and measurable execution.
Change Management & AI Adoption
Build the training, coaching, and enablement mechanisms that make AI adoption durable.
Healthcare & Regulated Enterprise Transformation
Apply this discipline inside payer, public-sector, and regulated environments.
Verified enterprise impact
Selected Enterprise Impact
Enterprise transformation execution, attributed by employer. These are delivery and operating outcomes — not AI-generated results.
California Department of Health Care Services (DHCS)
~25%improved sprint predictability
~30%reduced blocker-resolution time
UST HealthProof
150+person Agile Release Train supported
~20%improved sprint commitment reliability
Blue Shield of California
~15%improved velocity consistency
Zerocompliance audit failures
Enterprise delivery across digital modernization, claims, billing, policy, and compliance platforms.
Partnership HealthPlan of California
~20%reduced lead time
Scaled Scrum and Kanban across BI, integration, reporting, and mobile initiatives in a regulated healthcare environment.
Metrics reflect employer-attributed enterprise transformation execution and are not merged across organizations.
Hands-on evidence
Governed AI Decision-Intelligence Workflow
Designed as an operating system around AI — not merely a prompt.
Status: this is a governed experiment / prototype built and owned by Manny Sekhon. It is not presented as an external enterprise deployment, a paid client deployment, autonomous decision authority, or a production AI implementation.
The experiment turns fragmented, unstructured opportunity information into a repeatable decision workflow — with explicit criteria, evidence mapping, structured outputs, and human approval at every consequential step.
Unstructured InputsNormalizationAI AnalysisEvidence MappingStructured EvaluationRecommendationHuman Approval
Model capability
Fast synthesis, pattern detection, drafting, comparison.
Operating control
Structured schemas, defined evaluation criteria, evidence mapping, review gates, auditability.
Human accountability
Approve, reject, revise, and own the consequential decision.
The experiment demonstrates AI workflow architecture, structured schemas, evaluation criteria, evidence grounding, human-in-the-loop governance, auditability, risk controls, decision intelligence, and iterative improvement.
Responsible AI
Governance, Tied to Operating Decisions
Practical controls applied to real AI-assisted work — not abstract AI-ethics marketing.
Human Accountability
AI supports decisions; people own them. Every workflow ends with a human approval gate, not autonomous action.
Decision Rights
Clear ownership of who can approve, reject, or revise AI-assisted recommendations before they affect real work.
Evidence Grounding
Recommendations are tied back to approved source material, not unsupported model inference.
Evaluation Criteria
Structured, defined criteria separate evidence-based fit from persuasive AI-generated language.
Traceability & Auditability
Reasoning inputs, criteria, and outputs are preserved so a decision can be reconstructed after the fact.
Quality Controls
Workflow quality checks and instruction-adherence evaluation are applied to AI-assisted content before use.
Privacy & Security Awareness
AI-assisted workflows are designed with explicit awareness of what data a workflow or system can access.
Governance Checkpoints & Escalation
Defined checkpoints route ambiguous or high-risk outputs to human review rather than silent pass-through.
Responsible Adoption
Governance discipline from regulated enterprise delivery carried directly into responsible AI adoption.
Domain depth
Healthcare & Regulated Enterprise Experience
15+ years inside healthcare payer, public-sector healthcare, and regulated enterprise environments.
California Department of Health Care Services (DHCS)
Jan 2024 – PresentAgile Coach / Scrum Master III, Product Operations & Portfolio Delivery. Large-scale healthcare transformation operating model connecting enterprise OKRs to initiatives, architecture alignment, and sprint execution in a regulated State environment.
UST HealthProof
Mar 2021 – Jan 2024Senior Scrum Master / Agile Delivery Lead, Product Operations. Cross-functional delivery for healthcare payer/provider platforms spanning payments, claims, data integration, reporting, and platform modernization.
Blue Shield of California
Nov 2016 – Jan 2021Senior Scrum Master, Enterprise Delivery & Product Operations. Enterprise delivery across digital modernization, claims, billing, policy, compliance, and customer platforms.
Partnership HealthPlan of California
Feb 2014 – Oct 2016Scrum Master. Scaled Scrum and Kanban across BI, integration, reporting, and mobile initiatives in a regulated healthcare environment.
Health Care Service Corporation (HCSC)
Dec 2010 – Jan 2014Business Analyst / Scrum Master. Supported claims, billing, compliance, and platform-modernization initiatives in a regulated payer environment.
Governance, compliance, vendor coordination, and organizational change are operating discipline built inside regulated payer and public-sector systems — not claimed clinical, pharmaceutical, or medical-decision-support expertise.
Executive advisory
Beyond a single employer, Manny advises leaders directly on AI strategy, AI-enabled operating models, and enterprise transformation governance — the same discipline he applies as Founder of Dream Dwell.
Operating-system thinking
Selected Systems, Frameworks & Artifacts
Reusable methods built and applied across enterprise transformation engagements.
Workflow Strategy Audits
Structured assessment of current-state workflows, friction, and AI opportunity.
Transformation Roadmaps & Playbooks
Sequenced implementation plans connecting strategy to execution.
Governance Routines & SOPs
Repeatable checkpoints, working agreements, and standard operating procedures.
Delivery Dashboards & Scorecards
Executive-ready visibility into priorities, risk, ownership, and progress.
Maturity Assessments & Decision Logs
Baseline current capability and preserve the record of key decisions.
Evaluation Criteria & Rubrics
Defined scoring frameworks that separate evidence from persuasive language.
Working Agreements & Training Materials
Enablement assets that make adoption durable across teams.
Workflow Intelligence Pattern
Capture → Prioritize → Route → Decide — a reusable pattern for converting fragmented signals into governed, traceable action.
Executive resources
Resume, Experiment, and Direct Contact
Founder-led practice
Dream Dwell — AI Transformation & Strategic Operations
Dream Dwell is Manny Sekhon's founder-led practice, applying the same discipline behind his enterprise work directly to organizations and leaders.
AI Transformation Advisory
Advise leaders on AI-enabled operating models and enterprise delivery.
AI Strategy & Opportunity Assessment
Identify where AI creates leverage and how to sequence adoption.
Workflow Strategy Audits
Assess current-state workflows for friction and AI-ready opportunity.
Operating Models & AI Governance
Design the operating mechanisms and controls AI adoption requires.
Workflow Modernization
Redesign fragmented processes into governed, measurable workflows.
Implementation Roadmaps
Turn opportunity into sequenced, governed execution plans.
Executive Dashboards & Decision Intelligence
Give leadership a live, evidence-grounded view of priorities and progress.
AI Adoption & Strategic Operations
Build the coaching, cadences, and enablement that make adoption durable.
Responsible AI
Human oversight, evidence grounding, and evaluation built into every engagement.
Dream Dwell is a founder-led practice — engagements are scoped directly with Manny around business outcomes and transformation requirements.
Discuss AI TransformationInsights
Executive AI Thought Leadership
Analysis and practical perspectives on the operating questions shaping enterprise AI transformation.
Read Insights- AI Transformation
- AI Strategy
- AI Governance
- AI Adoption
- Agentic Workflows
- Operating Models
- Healthcare AI
- Decision Intelligence
- Enterprise Automation
DISCUSS AI TRANSFORMATION
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