AI practice

AI strategy &
fractional leadership.

Most AI failures aren't technical — they're organizational. Misaligned leadership, absent governance, stalled adoption, and vendor decisions made without strategic oversight. That's the gap Pactus Advisory fills.

67%
of companies lack a unified AI strategy
Gartner CEO Survey, 2025
56%
of CEOs say AI has delivered neither revenue increases nor cost reductions
PwC Annual Global CEO Survey, 2026
higher ROI for companies that achieve leadership alignment on AI before investing
BCG / MIT Sloan Management Review, 2024
$285B
Wiped from SaaS valuations in Feb 2026 — the SaaSpocalypse is reshaping enterprise software budgets
Jefferies / Wall Street Journal, 2026
Free 30-Minute Consultation

Start with your
Measures of Success.

Every engagement begins with an honest conversation about what success looks like for you — no pitch, no pressure.

Book your free call

David responds within one business day.
All inquiries are confidential.

Proprietary Methodology

The Pactus AI Leadership Model™

Every engagement — from AI Readiness Assessment to Fractional CAIO retainer — is structured around these eight dimensions. This is what separates governed AI adoption from AI experimentation.

AI Practice Services

Six ways we apply
the model in practice.

Each service below is built on a specific set of the eight dimensions. Most clients start with the Readiness Assessment, then move to a Roadmap or Fractional CAIO retainer — David is personally involved throughout.

00
Start here
Built on the Pactus AI Leadership Model™
AI Readiness Assessment
$10,000 – $25,000 / project

Before investing in AI strategy, implementation, or governance, organizations need an honest picture of where they actually stand. The AI Readiness Assessment is the entry point — a rapid, structured diagnostic that reveals what's working, what's missing, and where the highest-leverage opportunities are.

Most organizations discover they have more AI activity than they realized — and less governance than they need. The Assessment surfaces both, and produces a clear starting point for whatever comes next.

What the Assessment covers

  • Current AI tool inventory — sanctioned and unsanctioned (Shadow AI audit)
  • Data readiness — quality, accessibility, and governance gaps
  • Organizational readiness — leadership alignment, skills, and change capacity
  • Infrastructure readiness — systems, integrations, and security posture
  • Risk exposure — regulatory, reputational, and operational AI risks
  • Competitive landscape — where your sector is on AI adoption

Deliverables

  • AI Readiness Scorecard across five dimensions
  • Prioritized gap analysis with remediation recommendations
  • Executive briefing document — board-ready summary
  • Recommended next steps: roadmap, governance, or CAIO retainer
Ideal for

Organizations beginning their AI journey, preparing for a board conversation, or those with active AI spend but no clear picture of what's working and what's at risk. Frequently the first engagement in a longer relationship.

01
Most requested
Fractional Chief AI Officer
$5,000 – $12,000 / month

For most mid-market companies, the answer to "who owns AI strategy?" is either "nobody" or "our CTO, sort of." Neither is sustainable. A full-time Chief AI Officer costs $300K–$1M+ in total compensation before building a team. A Fractional CAIO provides the same executive leadership at a fraction of the cost.

Pactus Advisory's Fractional CAIO engages 1–2 days per week, attending executive meetings, owning the AI strategy and governance framework, and driving adoption accountability across the organization.

What David owns

  • AI roadmap and use case prioritization framework
  • AI governance policy — data handling, vendor risk, employee usage standards
  • Vendor evaluation and selection — build vs. buy vs. partner decisions
  • Shadow AI remediation — converting unauthorized usage into sanctioned, governed adoption
  • Board-level AI strategy reporting and communication
  • Cross-functional adoption accountability — ensuring AI initiatives deliver measurable results

Engagement structure

  • Month 1: Discovery, current-state assessment, and AI readiness audit
  • Month 2–3: Strategy development, governance framework, and roadmap
  • Month 4+: Execution oversight, vendor management, and ongoing leadership
  • Quarterly board briefings included
Ideal for

Mid-market organizations ($10M–$500M revenue) with active AI spending but no unified strategy or executive accountability. Also used as a bridge engagement while evaluating a full-time CAIO hire.

02
Fixed scope
AI Strategy Roadmap
$15,000 – $35,000 / project

Most organizations begin their AI journey with tool purchases rather than strategy. The result is a collection of disconnected pilots, no clear ownership, and leadership teams that can't explain to their board what AI is doing for the business.

The AI Strategy Roadmap is a fixed-scope 4–6 week engagement that produces a clear, prioritized, actionable plan before significant implementation spending begins.

Deliverables

  • Current-state AI assessment — what tools are in use, what's working, what isn't
  • AI readiness audit — data quality, infrastructure, talent, and governance gaps
  • Prioritized use case map — highest-value opportunities ranked by effort and ROI potential
  • Vendor landscape review — evaluated options with build/buy/partner recommendations
  • Governance framework — initial policies for data handling, vendor risk, and employee AI use
  • 90-day implementation plan — clear first steps, owners, and success metrics
  • Board presentation — executive summary ready to present

Process

  • Week 1–2: Stakeholder interviews, tool inventory, and current-state assessment
  • Week 3–4: Use case analysis, vendor review, and governance design
  • Week 5–6: Roadmap development, validation sessions, and final presentation
Ideal for

Organizations beginning their AI journey, preparing for a board conversation about AI strategy, or looking to rationalize existing AI spending before committing to further investment.

03
Recovery
AI Implementation Rescue
$8,000 – $20,000 / month

Your organization invested in Microsoft Copilot, ChatGPT Enterprise, Salesforce Einstein, or another enterprise AI platform. Adoption is near zero. The vendor is pointing at your organization. Your team is pointing at the vendor. Nobody is accountable and nothing is delivering value.

This is the fastest-growing engagement type in David's practice — and it's a direct application of the same project recovery work David Kennedy has done across $500M+ in technology engagements.

What David fixes

  • Near-zero adoption despite significant license investment
  • AI projects over budget, behind schedule, or delivering no measurable value
  • Vendor relationships where trust has broken down and blame is replacing progress
  • AI implementations where scope has grown beyond the original business case
  • Organizations where the AI initiative has become a political problem rather than a business one

How David approaches it

  • Rapid diagnosis — identify root cause (technical, organizational, or vendor) within 2 weeks
  • Vendor renegotiation — restructure contracts, SLAs, and delivery commitments
  • Governance reset — establish clear ownership, accountability, and success metrics
  • Change management — rebuild organizational willingness to adopt
  • Recovery execution — sustained engagement through stabilization and value delivery
Ideal for

Organizations with active AI implementations that are failing to deliver value, vendor relationships in conflict, or AI programs where internal escalation has not produced resolution.

04
Governance
AI Governance Framework
$10,000 – $25,000 / project

Shadow AI — employees using unauthorized AI tools without IT or management oversight — has become one of the highest-risk issues facing organizations in 2026. Younger, AI-native employees are using these tools to accelerate their work, often without understanding the data exposure they're creating.

A well-designed AI governance framework doesn't suppress adoption — it channels it. The goal is Sanctioned AI: harnessing the energy of early adopters while protecting the organization's intellectual property, client data, and regulatory standing.

Framework components

  • AI usage policy — clear, practical standards for employee AI use across functions
  • Data classification standards — what data can be used with which AI tools
  • Vendor risk assessment process — evaluating AI tools before organizational adoption
  • Shadow AI audit — inventory of current unauthorized usage and associated risk
  • Incident response protocol — what happens when AI governance is violated
  • Board-ready AI risk reporting — quarterly governance summary for leadership

Particularly important for

  • Financial services organizations with regulatory AI obligations
  • Healthcare organizations handling PHI and HIPAA-governed data
  • Legal and professional services firms managing confidential client information
  • Any organization where employees have access to sensitive client or operational data
Ideal for

Organizations in regulated industries, companies with active Shadow AI usage, or leadership teams that have identified AI governance as a board-level risk without a clear owner or framework.

05
Flagship
AI Transformation Program
$50,000 – $250,000+ / program

For organizations ready to move beyond strategy and governance into full-scale AI transformation — this is the end-to-end program. The AI Transformation Program takes organizations from readiness assessment through strategy, governance, implementation oversight, and measurable business outcome delivery.

It is not a consulting project. It is a managed transformation with defined milestones, executive accountability, and outcomes tied directly to the Measures of Success defined at the start of the engagement.

Program phases

  • Phase 1 — Foundation: AI Readiness Assessment, leadership alignment, governance framework, and data strategy
  • Phase 2 — Strategy: AI roadmap, use case prioritization, vendor selection, and business case development
  • Phase 3 — Implementation Oversight: Vendor management, delivery governance, change management, and adoption acceleration
  • Phase 4 — Value Realization: Outcome measurement, ROI validation, capability building, and sustainability planning

Who leads it

  • David Kennedy personally serves as executive sponsor and program lead throughout
  • ADRPro.ai accelerates diagnosis, stakeholder analysis, and scenario modeling at every phase
  • Structured to integrate with your existing leadership team — not replace it
Ideal for

Mid-market organizations ($25M–$500M revenue) with board-level AI mandates, manufacturing and healthcare companies modernizing operations with AI, and private equity portfolio companies where AI transformation is a value creation thesis.

06
New — 2026
SaaS Rationalization & Custom AppGen Advisory
$15,000 – $40,000 audit · $5,000 – $12,000 / month retainer

In February 2026, $285 billion evaporated from SaaS company valuations in 48 hours. Wall Street called it the SaaSpocalypse. The cause: AI-assisted development has made it faster and cheaper to build bespoke enterprise apps than to license, configure, and maintain off-the-shelf SaaS — and mid-market organizations are acting on it.

35% of enterprise teams have already replaced at least one SaaS tool with a custom-built application. 78% plan to build more in 2026. The question is no longer whether to rationalize your SaaS stack — it's how to do it without creating a governance disaster.

Anyone can vibe-code a replacement for your project tracker or expense tool. Almost no one can govern the transition safely, exit the vendor contract cleanly, ensure the new app has security and audit trails built in — and make sure you're not simply trading a SaaS subscription bill for a Shadow AI liability. That's what this service does.

The four components

  • SaaS Audit & Rationalization — full inventory of your SaaS stack, true cost of ownership, utilization analysis, and identification of the highest-value replacement candidates
  • Build vs. Buy Decision Framework — applying the Pactus Method to determine which tools to exit, which to retain, and which to rebuild with AI-assisted development
  • AppGen Governance — ensuring custom-built replacements include security controls, compliance requirements, audit trails, data governance, and maintainability standards before a single line of code is written
  • Vendor Exit Management — handling the contractual complexity, data migration planning, and transition sequencing of exiting SaaS agreements cleanly and without business disruption

What this is not

  • This is not a development shop — David does not write the code
  • This is the executive advisory layer that makes the replacement actually work: the governance, the decision framework, the vendor negotiations, and the organizational change management
  • The highest-value targets are point solutions and departmental tools — not core ERP or CRM systems. David will tell you honestly which battles are worth fighting

Powered by ADRPro.ai

  • SaaS stack analysis and TCO modeling accelerated by AI
  • Governance framework templates built on ADRPro.ai's pattern library
  • Vendor contract risk analysis and exit scenario modeling
Ideal for

Mid-market organizations spending $500K+ annually on SaaS licenses, companies where department heads are already building Shadow AI tools to replace official systems, and private equity portfolio companies where SaaS rationalization is a value creation lever. Manufacturing, distribution, logistics, and professional services firms are seeing the fastest ROI.

For Private Equity

Portfolio-wide AI governance from
a single operating partner relationship.

One Pactus Advisory relationship with a PE operating partner can produce multiple portfolio-company engagements. We package a portfolio-wide AI governance and value-creation program — not one-off projects company by company.

What PE Operating Partners Are Facing
Portfolio companies are experimenting with AI inconsistently
Boards want AI risk visibility across the portfolio
Portfolio companies are buying overlapping SaaS and AI tools
Management teams cannot afford a full-time CAIO
Acquisition targets lack AI maturity data for due diligence
The Pactus Portfolio Program
Portfolio AI Scan — $25K–$75K · Screen all companies by readiness, risk, and opportunity
Company Assessment — $15K–$25K/company · Deep-dive using the Pactus AI Leadership Model™
Governance Playbook — $35K–$100K · Reusable portfolio policy set and board-report template
Fractional CAIO Deployment — $10K–$20K/month/company · Embedded AI leadership for priority portfolio companies
Quarterly Portfolio Review — Retainer · Operating partner dashboard and prioritized actions
Schedule a PE portfolio briefing
Free Resources

Download these before your next board conversation

Powered by ADRPro.ai
Why Pactus Advisory

Not a technologist.
An operator
who knows AI.

Most fractional CAIOs come from engineering or data science backgrounds. They understand the technology. They don't understand why AI implementations fail in practice — because most AI failures are organizational, not technical.

David Kennedy spent 30 years managing the intersection of technology and organizational behavior at enterprise scale. He has led customer success across a $2.8B ARR SaaS portfolio, recovered a $160M distressed technology program, and managed delivery across $500M+ in contract value.

He has been on both sides of failed AI and technology implementations — as the vendor who overpromised, and as the executive responsible for delivering value when implementations went sideways. That perspective is what differentiates Pactus Advisory in the fractional CAIO market.

Organizational first

We diagnose the governance, stakeholder, and change management failures before reaching for technical solutions.

Vendor-side experience

We understand vendor incentives, contract structures, and negotiation leverage — because we've been on that side of the table.

Conflict as a specialty

When AI adoption creates organizational conflict — job displacement fears, ownership disputes, vendor disagreements — we resolve it. Most CAIOs can't.

Registered neutral

When AI disputes require formal mediation or arbitration, our sister practice Atlanta Dispute Resolution provides independent neutral services.

Free resource

5 Warning Signs Your AI Implementation
Is Headed for Failure

A one-page diagnostic built from 30 years of technology delivery experience. If two or more of these are present, the program is at risk — regardless of what the status reports say.

Download free guide

Is your AI investment
delivering what you expected?

Most mid-market organizations are either under-investing in AI governance or over-investing in AI tools without the strategy to make them work. A free 30-minute consultation can clarify which problem you have.

Schedule a consultation