AI strategy & business transformation

Make AI a considered business decision.

Clarify where AI can create value, prepare the foundations, and build a practical path toward implementation — with strategy, governance and trust at the center.

Abstract illustration: scattered possibilities converging into one sequenced path, from priorities to execution.01Priorities02Value03Foundations04Execution
Led by
Chris Sullivan, founder
Formerly
Chief of Staff, Oracle Global License & Advisory Services
Executive education
AI & Digital Strategies, UC Berkeley Haas

Why we exist

Executive leaders need more than enthusiasm for AI. They need the strategy, governance and trust to invest with confidence.

Practical over performative

AI in service of real business outcomes, not hype cycles.

Governance from the start

Readiness, trust and risk addressed alongside ambition.

Confidence before commitment

Clarity before budget, people and reputation are committed.

Introductory conversationStart with the business question

Where we help

Where executive judgment matters most.

AI is moving faster than most planning cycles. We help leadership teams set a clear course before committing budget, people and reputation.

A clear strategy before the investment.

Questions we help answer

  • Where can AI genuinely support our business priorities?
  • Which opportunities deserve investment first?
  • How do we keep pace without chasing every new release?

A practical path to implementation.

Questions we help answer

  • What must be in place before we scale?
  • Which teams, systems and processes are affected?
  • What sequence gives implementation the best chance of success?

Data foundations that support AI.

Questions we help answer

  • Is our data ready for the AI we are considering?
  • Which infrastructure decisions matter now, and which can wait?
  • How can data strategy become a competitive advantage?

Guardrails that enable, rather than stall.

Questions we help answer

  • What guardrails are necessary for responsible adoption?
  • Where are the operational, legal or reputational risks?
  • How do we govern AI without unnecessarily slowing the business?

Industry focus

Focused guidance for complex organizations.

We provide selective guidance to leaders in three sectors where AI decisions carry particular weight.

  • Private equity

    Where can AI support value creation across a portfolio — and which investments deserve priority?

  • Higher education

    How can institutions adopt AI with clear governance and the trust of students, faculty and communities?

  • Healthcare

    How do data readiness and governance shape what AI can responsibly deliver for patients and providers?

Approach

From open questions to a considered plan.

Every organization starts from a different place. Our work moves through four stages, shaped around your priorities and pace.

  1. Stage 1: Priorities

    Clarify where AI genuinely matters to the business — the decisions, pressures and opportunities it should serve.

  2. Stage 2: Value

    Determine where AI can produce meaningful, measurable value, and which opportunities deserve investment first.

  3. Stage 3: Foundations

    Assess governance, data and organizational readiness, operating conditions and risk before committing to scale.

  4. Stage 4: Execution

    Translate the strategy into a practical path toward implementation and adoption, with clear sequencing and ownership.

Portrait of Chris Sullivan, founder of Advanced Digital Strategies, in a dark suit and tie.
Christopher SullivanFounder, Advanced Digital Strategies

About Chris

Enterprise experience. A practical perspective on AI.

Chris Sullivan is a generative AI and digital strategy business leader who helps executives make considered technology decisions. Drawing on nearly three decades across strategy, financial planning, advisory services and enterprise technology leadership, he works with organizations that need clarity before committing budget, people and reputation.

Over more than two decades at Oracle, Chris led and supported global advisory, business planning and license management functions — most recently as Chief of Staff for Global License & Advisory Services. His background combines executive strategy, governance, commercial judgment and operational execution.

Professional experience, since 1997
30 years
Oracle career, 2003 – 2026
23 years
Oracle LMS and GLAS, 2016 – 2026
Chief of Staff

Education & credentials

  • UC Berkeley, Haas School of BusinessExecutive Education — Certificate of Excellence, AI & Digital Strategies
  • Boston University, Questrom School of BusinessMBA, General Management
  • Northeastern UniversityBSBA

Contact

Start with the business question.

Tell us what your organization is trying to achieve — and where AI is creating uncertainty. We'll arrange a free introductory conversation about the next step.

Reach Chris directly