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Fractional Executive Leadership

Turn AI Investment Into
Measurable Business Results

Most organizations are experimenting with AI. Few are building the leadership, workforce capability, and operating discipline required to make it pay off. This role changes that.

30+ Years of executive leadership
27% Enterprise value increase, 14 months
48% Revenue growth, recurring services
Engagement at a Glance
🏷
Role
Fractional VP, People & AI Transformation
📅
Commitment
1–2 days per week
Duration
6–12 months
📊
Reports To
CEO, COO, or CHRO
⚙️
Operating Mode
Embedded executive — not advisory consulting
Book a Free 30-Minute Call
Right for
CEOs scaling AI CHROs building capability COOs driving execution PE-backed companies Mid-market & growth firms

Your Organization Is Investing in AI.
But Something Isn't Working.

The constraint is rarely technology. It's leadership, operating model, and workforce capability. Here's what we hear most often.

🚀

AI Pilots Without Adoption

Proof-of-concepts delivered. Dashboards launched. But teams aren't changing how they work, and results aren't materializing.

📉

Productivity Gains Not Reaching the Bottom Line

Efficiency improvements exist in isolated pockets but aren't translating into financial performance or enterprise value.

😓

Managers Overwhelmed by Change

Leaders are asked to drive AI adoption while managing daily operations — without the tools, training, or clarity to succeed at either.

🎯

Workforce Capability Lagging Strategy

The business has an AI strategy. The workforce hasn't caught up. The gap between intention and execution is widening.

🔀

Fragmented Tools & Unclear Ownership

Multiple AI initiatives are running in parallel with no shared operating rhythm, no clear accountability, and competing priorities.

⚠️

Risk & Governance Uncertainty

The board and executive team are asking hard questions about AI risk. No one owns the answers — or the framework to get there.

"Most companies don't need more AI strategy.
They need leadership that can turn capability into results."

— Bill Dunnington, Net Good Business

Embedded Execution Leadership — Not Consulting

A senior executive embedded part-time on your leadership team to design, lead, and operationalize AI and workforce transformation.

  • Align AI initiatives to business priorities and financial performance
  • Design the operating rhythm for AI adoption and execution
  • Build workforce capability and leadership confidence
  • Establish governance, risk, and decision frameworks
  • Lead cross-functional implementation and change management
  • Translate AI investment into measurable ROI

What You'll Have at the End

AI Adoption & Execution RoadmapClear priorities, sequencing, and milestones tied to business outcomes

Workforce Capability PlanRole redesign, skills framework, and development path for your people

Governance & Decision FrameworkOwnership, escalation paths, and risk management structure

Execution CadenceEmbedded operating rhythm the organization can run without external support

Performance MetricsAdoption KPIs, productivity benchmarks, and ROI tracking dashboard

What Changes When Execution Leadership Is Present

These are outcomes organizations working with this model regularly achieve within 6–12 months.

What Improves
AI adoption across workflowsMore teams using AI in daily operations, not just pilots
↑ 27%
Enterprise valueDirect outcome tied to execution discipline and workforce readiness
↑ 48%
Revenue growthNew services and recurring streams unlocked through capability building
Leadership confidenceExecutives operate with clarity on priorities, ownership, and direction
What Decreases
Execution frictionFewer competing priorities, clearer accountability, faster decisions
Wasted AI investmentResources directed to initiatives with clear return, not innovation theater
Workforce capability gapsRoles redesigned, skills developed, and people aligned to strategy
Risk and governance uncertaintyClear ownership, frameworks, and board-ready AI governance

A Three-Phase Execution Model

Built for private, mid-market companies that need to move fast without creating chaos.

Phase 01
Diagnose & Align
Weeks 1–6
  • Assess current AI initiatives and adoption gaps
  • Map workforce capability against strategic need
  • Define the highest-leverage opportunities
  • Establish leadership alignment and ownership
  • Set performance baselines and success metrics
📌 Result: Clear priorities and a shared execution plan
Phase 02
Build & Embed
Weeks 7–20
  • Design and deploy AI adoption roadmap
  • Build workforce capability and manager readiness
  • Implement governance and decision frameworks
  • Establish operating cadence and accountability rhythms
  • Track adoption metrics and adjust in real time
📌 Result: AI embedded in daily operations
Phase 03
Scale & Sustain
Weeks 21–48
  • Scale proven workflows across the organization
  • Transfer capability to internal leaders
  • Document and institutionalize operating model
  • Report ROI and performance to executive team
  • Plan next horizon of AI capability
📌 Result: A self-sustaining AI-enabled organization

Transparent, Flexible Pricing

Priced to reflect the seniority and scope of the role — not a consulting day rate. Engagements are structured around business outcomes.

Day Rate

Project or Sprint Work

$2,250 – $3,500
per day

Ideal for diagnostic assessments, workshops, board presentations, or short-term focused sprints.

Full Engagement

6–12 Month Program

$75K – $180K
total engagement

Full three-phase model from diagnosis through sustained capability. Many clients add a performance component tied to measurable outcomes.

Optional performance component: Many clients structure a base retainer plus a performance bonus ($25K–$75K) tied to adoption milestones, productivity gains, revenue growth, or cost reduction. This aligns incentives and reflects a shared commitment to results.
Bill Dunnington

Bill Dunnington

Founder, Net Good Business

After 30+ years building high-performance organizations as an executive, Accenture and Booz consultant, and CEO advisor, Bill now works as a fractional executive helping private, mid-market companies turn AI capability into operating results.

His work focuses on the real constraints in AI transformation: leadership alignment, workforce capability, operating rhythm, and execution discipline. Not strategy decks. Not technology implementation.

He has helped companies increase enterprise value by 27%, grow recurring revenue by 48%, complete four acquisitions in eleven months, and build workforces ready to compete in an AI-first economy.

Former Accenture Consultant Former Booz Consultant 30+ Years Executive Leadership People-First Operating Model AI Adoption Specialist
Selected Client Outcomes
+27% Enterprise value increase — medical device company, 14 months
+48% Recurring revenue growth — accounting firm, new consulting services
4 Acquisitions completed — biotech company, 11 months
Book a Free 30-Minute Call →

Frequently Asked Questions

What is a Fractional VP of People and AI Transformation? +

A Fractional VP of People and AI Transformation is a senior executive who works embedded inside a company on a part-time basis — typically 1–2 days per week — to lead AI adoption and workforce transformation. Unlike a consultant who delivers recommendations and leaves, this role operates as a member of the leadership team, driving execution and accountable for measurable outcomes.

What is the difference between a fractional executive and a consultant? +

A consultant delivers advice, frameworks, and recommendations — then leaves execution to the client. A fractional executive is embedded on the leadership team and is accountable for driving execution, not just advising. They attend leadership meetings, own deliverables, manage cross-functional teams, and are responsible for results.

How much does a Fractional VP of People and AI Transformation cost? +

Pricing depends on engagement structure. A day rate runs $2,250–$3,500. A monthly retainer for 1 day per week is $9,000–$14,000/month. Two days per week is $16,000–$26,000/month. A full 6–12 month engagement runs $75,000–$180,000 total. Many engagements include an optional performance bonus of $25,000–$75,000 tied to adoption milestones or financial outcomes. See full pricing →

What problems does this role solve? +

This role addresses the most common AI transformation failures: AI pilots without adoption, productivity gains that don't reach the bottom line, managers overwhelmed by change, workforce capability lagging strategy, fragmented tools with unclear ownership, and risk and governance uncertainty. The constraint is rarely technology — it's leadership, operating model, and workforce capability.

How long does a typical engagement last? +

Most engagements run 6–12 months across three phases: Diagnose & Align (weeks 1–6), Build & Embed (weeks 7–20), and Scale & Sustain (weeks 21–48). The goal is to build self-sustaining capability inside the organization so the engagement concludes with lasting results — not ongoing dependency.

Who does this role report to? +

This role reports directly to the CEO, COO, or CHRO — operating as a peer member of the leadership team, not as an external vendor. That reporting structure is what makes execution possible.

What types of companies benefit most from this? +

Private and PE-backed mid-market B2B companies — typically $5M–$100M in revenue — benefit most. These organizations have made AI investments or are planning to, but lack the dedicated senior leadership to operationalize AI and workforce transformation without adding a full-time executive headcount.

What results have past clients achieved? +

Typical outcomes include faster AI adoption across workflows, improved productivity and reduced cycle time, clear governance and decision frameworks, and measurable ROI from AI investment. Specific client results include a 27% enterprise value increase in 14 months (medical device company), 48% recurring revenue growth (accounting firm), and four acquisitions completed in 11 months (biotech company).

Is This the Right Fit for
Your Organization?

A 30-minute conversation is enough to know. No pressure, no pitch — just a direct assessment of whether embedded fractional leadership would move the needle for you.