AI TRANSFORMATION ADVISORY
AI Transformation for
Modern Operating Models
I work with leadership teams to move from legacy digital workflows to AI-enabled operating models—aligning strategy, execution, and value realization across the enterprise.
Advisory focused on execution,
not experimentation
not experimentation
AI transformation succeeds when it is anchored in operating reality.
ONE Department works with leadership teams to design AI-enabled operating models that integrate strategy, workflows, governance, and measurement—so AI becomes part of how the organization runs, not a disconnected initiative.
ONE Department works with leadership teams to design AI-enabled operating models that integrate strategy, workflows, governance, and measurement—so AI becomes part of how the organization runs, not a disconnected initiative.

About ONE Department
We advise leadership teams on how to integrate AI into operating models—not as isolated tools, but as capabilities embedded across workflows, governance, and execution.
Our work focuses on helping organizations move beyond experimentation toward durable, enterprise-scale adoption.
Our work focuses on helping organizations move beyond experimentation toward durable, enterprise-scale adoption.
Enterprise-Scale Impact
Advisory and operating leadership across large-scale digital, AI, and data transformation initiatives spanning product, IT, and go-to-market functions.
AI Operating Models Designed
Defined governance, evaluation, telemetry, and adoption frameworks for AI and LLM initiatives in complex and regulated environments.
Leadership Teams Advised
Partnered directly with executive, product, and operational leaders across mid-market and enterprise organizations.
Long-Term Advisory Relationships
Engagements built on trust, accountability, and sustained involvement through multiple phases of transformation.
Expertise
Bringing Structure to Enterprise AI Transformation
We specialize in helping organizations translate AI ambition into operating reality. Our work focuses on structuring workflows, governance, and execution so AI initiatives move beyond pilots and become durable, enterprise-scale capabilities.
AI operating model design across workflows, roles, and governance
LLM, RAG, and data platform enablement in complex environments
Enterprise adoption, measurement, and execution discipline

Enterprise AI & Operating Models
Data, Platforms & Infrastructure
Regulated & Complex Environments
Executive Strategy & Transformation
Services
Advisory Services
AI Strategy & Operating Model
01
Define how AI fits into the organization—across workflows, decision-making, governance, and execution—so adoption scales beyond pilots.
Enterprise AI opportunity assessment
Operating model and workflow design
Governance, roles, and decision rights
Enterprise AI roadmap and prioritization
& Operating Model
LLM & AI Enablement
02
Design and enable practical AI workflows, including LLM and retrieval-augmented systems, aligned to enterprise data, risk, and operating constraints.
LLM and RAG workflow architecture design
Data readiness and integration planning
Evaluation, guardrails, and oversight
Pilot-to-production enablement planning
& AI Enablement
Value Realization & Adoption
03
Translate AI initiatives into measurable outcomes through KPI design, adoption planning, and ongoing operating cadence—so improvements persist beyond initial deployment.
KPI and measurement framework
Adoption and organizational change planning
Operating cadence and feedback loops
Continuous improvement support
Realization & Adoption
Regulated Operations & Quality Systems
04
Enable AI adoption in regulated and high-accountability environments by aligning operating models, quality systems, and governance requirements—so innovation holds up under audit, risk, and compliance scrutiny.
Regulated workflow and control analysis
Quality systems and documentation alignment
Risk, compliance, and audit readiness
AI governance within regulated constraints
From AI strategy to enterprise enablement, we help organizations integrate AI into how they operate, govern, and execute.
View Advisory ServicesExperience across leading cloud and data platforms
Industries
Enterprise Contexts

Regulated Medical & Manufacturing Environments
Advisory experience in regulated operating environments—where quality systems, validation, governance, and auditability shape how AI can be responsibly adopted at scale.

Technology-Led Organizations
Support for product and platform organizations integrating AI into core workflows, data platforms, and operating models as they scale.

Enterprise Operating Teams
Partnership with internal strategy, transformation, and operations leaders to design AI-enabled operating models aligned to business execution.

Portfolio & Holding Structures
Advisory work supporting AI readiness, operating discipline, and value realization across portfolios and complex organizational structures.

AI transformation requires more than advice.
It requires clear operating models, disciplined execution, and governance that allows AI to scale responsibly across the organization.
It requires clear operating models, disciplined execution, and governance that allows AI to scale responsibly across the organization.

OUR PROCESS
A practical path from intent to impact
01
Assess & Prioritize
Clarify objectives, constraints, and where AI can create meaningful leverage across the organization.
02
Design the Operating Model
Define workflows, roles, governance, and the target AI architecture required to support adoption at scale.
03
Enable & Implement
Support pilots, LLM and RAG workflows, and integration into existing systems to move from experimentation to production.
