Before the Decision - Or After Operational Reality Hits

You are making a material bet that AI CapEx will replace a significant portion of labor cost reductions achieved through workforce restructuring. Have you validated that the work being eliminated is actually covered — or will the gap surface after the next earnings call?

This is not AI implementation consulting. We do not sell or deploy tools. We validate whether your AI investment actually covers the workthat has been eliminated.

THE CHALLENGE (Two-Scenario Approach)

Scenario A: Pre-Decision

Before Workforce Restructuring: Validate or Gamble?

Your board is pushing for 15 percent workforce reduction funded by AI investment. The CFO has CapEx approved. IT has vendors selected. HR is drafting the communication plan.

But nobody has answered the hard questions:

  • Which responsibilities can AI truly handle today - not in the vendor's roadmap?

  • Which require human judgment that doesn't exist in any model?

  • What corporate knowledge walks out the door with departing employees?

  • Where will operations break first when the cuts take effect?

  • How will you measure if the AI is actually working?

The Risk of Proceeding Without Validation:
Most companies discover these answers 90 days post-workforce restructuring, when customer churn accelerates and projects stall. Emergency backfilling then costs 3x more than retaining the right people.

The Opportunity:
Organizations that validate coverage before making cuts avoid operational disasters and board-level exposure.

 

Scenario B: Post-Implementation

After Workforce Restructuring: Diagnose What Went Wrong?

You made the cuts. You bought the AI tools. It's been 90 days.

And something's not working:

  • Projects are delayed or stalled entirely

  • Customer complaints are increasing

  • Remaining employees are burned out covering gaps

  • The AI isn't delivering what was promised

  • Shadow AI usage is proliferating on personal devices

The Reality Check:
Your board wants answers. Your analysts want proof of productivity gains. Your employees want clarity on what they're actually supposed to do now. And none of them will accept “it’s in the vendor roadmap” as an answer.

The Question:

The question is whether your workforce restructuring was governed, validated, and structured to work or whether you now need to recover before the next reporting cycle.

Validate before you cut. Recover after you realize. Ensure your AI big bet delivers on your workforce reduction.

OUR APPROACH: Independent Workforce Coverage and Governance Assessment

Support for Both Critical Moments

We help organizations in both scenarios validate whether AI investments will—or did—deliver on their promises. Our approach is vendor-neutral, outcome-focused, and grounded in documented track records.

Scenario A - Pre-Decision Assessment:

Assessment Scope: Comprehensive assessment of AI capabilities against actual work requirements, corporate knowledge at risk, and operational exposure. Clear recommendations with quantified risks before you execute workforce restructuring.

Value Delivered:

  • Prevent operational disasters before they occur

  • Identify which roles AI can legitimately cover

  • Quantify corporate knowledge at risk

  • Design governance frameworks that prevent shadow AI

  • Establish board ready documentation supporting workforce decisions

Scenario B - Post-Implementation Assessment:

Assessment Scope: Diagnostic assessment of what went wrong, what's salvageable, and how to implement governance to prevent repeat failures. Recovery roadmap with prioritized actions and enforceable governance controls.

Value Delivered:

  • Identify coverage gaps causing operational failures

  • Diagnose why AI isn't delivering promised value

  • Design recovery plans that address root causes

  • Implement governance preventing future failures

  • Restore board and analyst confidence through documented findings

PROOF: OUR TRACK RECORD

We publish, revisit, and publicly grade our own predictions.

Why Clients Trust Our Assessments

The Prediction Timeline

August 2023
Brookey & Company published specific predictions about AI's impact on workforce dynamics and consulting delivery models.

August 2025
Unlike analyst firms that never revisit forecasts, we publicly graded ourselves. Verdict: Accurate across all dimensions.

September 2025
Published research on GenAI ROI citing MIT data showing 95% project failure rates—validating our 2023 predictions.

November 2025
Published in The AI Journal: "The Future of Work in Consulting" - documenting structural changes in consulting delivery models.

January 2026
Published in The AI Journal: "AI Is the New SaaS" - governance crisis and shadow AI proliferation.

January 2026 Reality Check
250,000+ tech workers laid off. $500B+ in AI CapEx invested. The transformation we predicted is happening. The failures we warned about are materializing.

What We Got Right:

✅ Workforce restructuring around AI capabilities
✅ Cost compression forcing layoffs
✅ Governance gaps creating operational risk
✅ 95%+ project failure rates
✅ Shadow AI proliferation on personal devices
✅ CapEx investments outpacing ROI delivery

Read Our 2023 AI Predictions & 2025 Validation

Who Benefits from our AI Workforce Assessments

Engagement is frequently initiated by Boards, Audit Committees, Risk Committees, and CFOs.

Organizations that have:

  • Completed or are planning significant workforce restructuring (10%+ headcount reduction)

  • Invested $10M+ in AI infrastructure, tools, or capabilities

  • Leadership teams needing validation before earnings discussions or board meetings

  • Boards requiring governance frameworks for AI oversight

  • Experienced gaps between AI promises and operational reality

Size: Mid-market to enterprise ($500M-$10B revenue)

Industries: Technology, Financial Services, Healthcare, Professional Services, Manufacturing, Retail

THE STAKES

The Cost of Getting It Wrong vs. The Value of Getting It Right

Get It Wrong:

❌ Operational Collapse: Critical work falls through cracks within 90 days
❌ Customer Churn: Service degradation drives customers to competitors
❌ Emergency Backfilling: Hiring back costs 3x original labor expense
❌ Board Exposure: Governance failures create oversight and accountability risk
❌ Regulatory Scrutiny: EU AI Act, US Executive Order violations
❌ Wasted CapEx: $100M invested with minimal measurable return

Get It Right:

✅ Validated Coverage: Know what AI handles before making cuts
✅ Operational Continuity: Work continues without disruption
✅ Clear Governance: Shadow AI prevented, data exposure avoided
✅ Measurable ROI: CapEx delivering documented returns
✅ Board Confidence: Strategic transformation backed by data
✅ Competitive Advantage: AI working while competitors struggle

WHAT HAPPENS NEXT

The Three-Step Engagement Process

Step 1: Confidential Assessment and Scoping Call (60 Minutes)

Step 2: Scoping & Proposal (Within 1 Week)

Step 3: Engagement (4-24 Weeks Depending on Scope)

Phase Structure (Typical):

  • Weeks 1-6: Assessment & Analysis

  • Weeks 7-18: Governance Design & Implementation (if applicable)

  • Weeks 19-24: Optimization & Handoff (if applicable)

All engagements are conducted under strict confidentiality and can align to attorney client privilege when required.

FREQUENTLY ASKED QUESTIONS

Is this change management or AI implementation consulting?

No. We do not deploy tools, train users, or run adoption programs. We assess whether AI investments actually cover eliminated work and whether governance structures are sufficient to manage risk.

How is this different from "AI readiness assessments"?

AI readiness assessments evaluate whether you're ready to adopt AI technology. We evaluate whether AI is ready to replace the specific work you're eliminating through workforce restructuring. Our focus is post-restructuring validation and governance, not pre-adoption technology assessment.

What if we haven't completed workforce reductions yet?

Perfect. Pre-decision validation prevents costly mistakes. We assess coverage gaps, identify risks, and provide recommendations before you execute workforce restructuring. This is actually our preferred engagement timing.

Do you implement the AI technology itself?

No. We remain vendor-neutral and focus on organizational assessment. We partner with your existing IT teams or technology vendors. If you don't have vendors selected, we can provide objective recommendations without financial conflicts.

How long does assessment take?

Rapid Assessment (urgent): 2-3 weeks for critical findings
Comprehensive Assessment: 4-6 weeks for full analysis
Implementation: 12-18 weeks depending on governance scope

Timeline flexibility depends on urgency and organizational complexity.

What deliverables do we receive?

Core Deliverables: Professional documentation suitable for board review, analyst presentation, or internal planning.

What industries do you serve?

Primary focus: Technology, Financial Services, Healthcare, Professional Services, Manufacturing, Retail

We adapt our approach to industry-specific regulations (HIPAA, SOX, FINRA, etc.) and operational requirements.

What if we discover we made a mistake with our workforce restructuring?

Recovery is possible but requires honest assessment and rapid action. We help diagnose what went wrong, identify what's salvageable, design recovery plans, and help implement governance guidelines preventing repeat failures.

The sooner you engage post-discovery, the more recovery options available.

How do you measure success?

Success metrics depend on engagement type:

Pre-Decision: Validated coverage, quantified risks, board-approved framework
Post-Implementation: Identified gaps, implemented governance, measurable ROI improvement

We define success criteria collaboratively during scoping and track throughout engagement.

The Board Will Ask. The Analysts Will Ask. Your Employees Already Know.

Does your AI investment actually deliver what was promised?

Schedule A Confidential Assessment

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