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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.

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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
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Right for
CEOs scaling AI CHROs building capability COOs driving execution PE-backed companies Mid-market & growth firms
The Challenge

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
The Role

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

Typical Outcomes

What Changes When Execution Leadership Is Present

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

↑ What Improves
3×
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
How It Works

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
Investment

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.

Most Common
Monthly Retainer

Embedded Leadership

$9,000 – $26,000
per month  ·  1–2 days/week

1 day/week: $9,000 – $14,000/mo
2 days/week: $16,000 – $26,000/mo
Embedded as a member of the leadership team for sustained execution.

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
About Bill

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
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Get Started

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.

Book a Free Call → Email Bill Directly