I. Opening Frame

The gap between a transformation that succeeds on paper and one that succeeds in operation usually comes down to something that never appears in the business case: whether the people who designed the model will have to live with it.

I’ve spent 35 years watching logistics organizations, specifically freight forwarders, 3PLs, and 4PLs, approach bestshoring decisions. Twenty-eight of those years were at DHL, where I spent my final 13 years building and leading the Global Service Center for the Americas, scaling operations from 4 people to more than 1,300 employees across four countries. I share this not as credential but as context: what follows isn’t theory. It’s pattern recognition from building what you’re trying to optimize.

After decades watching these decisions play out, the same failure pattern repeats. Models that look good on paper but break in operation. Not because individual elements were wrong, but because they were designed in isolation. Cost analysis here. Talent strategy there. Governance as an afterthought. Technology layered on top of processes that weren’t ready for it.

This article offers a different lens. The Six Dimensions of Bestshoring Readiness™ is a framework that shows how six critical dimensions connect as a system. But first, let me be clear about what bestshoring actually means: Bestshoring is a strategic approach to determining where work should live, who should do it, and how it should be organized. It is not a geographic label. This definition deliberately distinguishes bestshoring from the market’s tendency to conflate it with offshoring, nearshoring, or general outsourcing.

The framework I’m sharing is not a checklist to score yourself against. It’s a diagnostic lens that reveals where your model is strong, where it’s vulnerable, and what sequence of action will actually move the needle.

Let me be clear about what this framework won’t do: it won’t tell you exactly what to do. That requires diagnosis of your specific situation. What it will do is help you see clearly so you can decide with confidence.

II. Why Logistics Leaders Need a Shared Services Assessment Framework Now

The Fragmentation Problem

Bestshoring decisions are made in silos. Finance models cost. HR addresses talent. Operations designs process. IT evaluates technology. Each function optimizes its piece. No one owns the system.

The industry compounds this by conflating bestshoring with offshoring, treating it as a geographic label rather than a strategic design question. Bestshoring isn’t about where work lives. It’s about something more fundamental: where work should live, who should do it, and how it should be organized. Technology and AI are enablers, not location options.

The Urgency

The operating environment has shifted in ways that demand attention. New tariffs are eroding traditional nearshore cost advantages, with Mexico and Canada facing 25% tariffs that are reshaping the economics of location decisions. Wage inflation in traditional offshore markets has compressed labor arbitrage, with India seeing salary increases of 9-10% annually across service sectors. And AI is reshaping everything, automating tasks rather than structures, meaning organizations that wait will have legacy models to unwind while competitors build hybrid models.

McKinsey research shows that 70% of digital transformation initiatives fail to meet their objectives. BCG found that only 35% of transformations meet value targets globally. These aren’t edge cases. They’re the norm. Organizations that delay don’t stand still. Costs compound. Talent churns. The math doesn’t wait for budget cycles.

The Assessment Gap

Most organizations evaluate readiness through a single lens, usually cost. They pass the cost test but fail in operation because they missed the interdependencies: the talent model that can’t scale, the governance that creates gridlock, the technology investment built on unstable processes.

Most shared services business cases assume Year 3 savings that somehow never arrive. The spreadsheet was perfect. Reality had other plans.

III. The Six Dimensions: An Integrated System

Six dimensions, but not six independent tests. This is an integrated system where weakness in one dimension cascades to others. You cannot fix talent without strategic clarity. You cannot scale without governance. You cannot future-proof without understanding how AI will reshape work.

The architecture follows a logical flow: WHY you’re doing this, WHO will execute it, HOW it will be structured and controlled, and WHAT outcomes it must deliver and enable:

Dimension	Core Question	Architecture Role
Strategic Clarity	Why bestshore?	WHY
Talent & Leadership	Who executes?	WHO
Operating Model	How is it structured?	HOW
Governance & Control	How is it controlled?	HOW
Customer Impact	What outcomes matter?	WHAT
Digital & AI Readiness	What enables it?	WHAT

IV. The Six Dimensions: Synthesis

Dimension 1: Strategic Clarity

Are you managing today’s priorities or yesterday’s design decisions?

This dimension assesses whether the original rationale for your operating model still applies. Whether there’s a clear trigger process for evaluating when the model needs adjustment. In my experience, the most common failure isn’t choosing the wrong model. It’s operating a model designed for conditions that no longer exist. The business changed. The strategy evolved. The operating model stayed frozen.

Connections: You cannot resource what you haven’t defined. Unclear strategy creates talent misallocation. Strategy must serve outcomes that matter to customers, not internal efficiency metrics alone.

Risk when neglected: Optimizing a model that shouldn’t exist. Efficiency gains in the wrong direction.

The question that matters: When did you last pressure-test whether your operating model still fits your business strategy? If the answer is “when we designed it,” that’s the gap.

Full article: Strategic Decision Triggers

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Dimension 2: Talent & Leadership

Does your people model strengthen or strain service delivery?

This dimension assesses leadership alignment across delivery teams, cultural friction and turnover patterns, and whether your talent pipeline is designed for future work, including roles alongside automation and AI. I’ve watched organizations celebrate cost savings while ignoring 35% attrition. They weren’t saving money. They were financing a perpetual recruiting and training operation. The spreadsheet showed margin. Reality showed churn.

Connections: People execute structure. A brilliant operating model with the wrong talent fails. As AI reshapes work, talent must evolve. The team you need in three years isn’t the team you have today.

Risk when neglected: Attrition eating savings. Capability gaps widening. Best talent leaving before you push them out.

The question that matters: If AI eliminates 50% of routine transactions over the next two years, do you have a redeployment plan, or will you simply reduce headcount and hope for the best?

Full article: Talent & Cultural Readiness

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Dimension 3: Operating Model

Is your structure delivering value beyond cost reduction?

This dimension assesses whether shared services or BPO partners contribute to resilience, agility, and scalability, not just cost savings. It examines whether you have clear visibility into which functions are strategic versus transactional, and whether the model can flex as business pivots. The best operating models I’ve seen weren’t the cheapest. They were the most adaptable. They could absorb volume spikes without breaking. They could shift work between locations using clear triggers. They created optionality, not dependency.

Connections: Structure without control drifts. Operating model and governance must be designed together. Model must align to why you’re doing this. Cost-optimized models serving growth strategies create friction.

Risk when neglected: Rigidity mistaken for stability. Growth becoming a constraint rather than an opportunity.

The question that matters: Can your delivery model flex to support a 40% volume increase in six months? If the answer requires “major restructuring,” your model is a constraint.

Full article: Model Fit & Value Alignment

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Dimension 4: Governance & Control

Is your governance a foundation for agility or a barrier to change?

This dimension assesses whether accountability and decision rights are clear and consistently enforced. It examines safeguards against vendor lock-in and location overdependency, and whether compliance and risk frameworks address AI, automation, and emerging digital standards. Governance frameworks tend to be designed by people who won’t have to live with them. This rarely ends well. The best governance I’ve seen creates speed, not friction. Clear decision rights. Pre-agreed playbooks. Optionality levers that leaders can pull with confidence.

Connections: Control must serve outcomes. Governance that optimizes compliance while customers experience decline is governance that’s lost the plot. Governance without clear structure creates confusion. Structure without governance creates drift.

Risk when neglected: Bureaucracy mistaken for control. Decision paralysis. Vendor lock-in discovered only when you need to move.

The question that matters: If a major vendor failed tomorrow, how long would it take to shift work? If the answer is “we’d have to figure that out,” you don’t have optionality. You have dependency.

Full article: Governance as Optionality Levers

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Dimension 5: Customer Impact

Does your model enable or hinder the business it serves?

This dimension assesses whether current structures improve decision-making speed in markets served. It examines whether customers, both internal and external, experience clear benefits, and whether the model supports evolving commercial priorities. I’ve seen organizations optimize every internal metric while customer satisfaction declined. They measured cost per transaction, not customer effort. They tracked SLA compliance, not whether customers would recommend them. They won the internal game and lost the one that mattered.

Connections: Customer expectations drive technology requirements. According to the 2024/2025 Third-Party Logistics Study, 87% of shippers and 94% of 3PLs agree that emerging technology adoption is critical to future success. If strategy is customer-centric but the operating model creates customer friction, something has to give.

Risk when neglected: Internal efficiency gains that customers never feel. Commercial opportunities lost to service quality perception.

The question that matters: When your commercial team loses a deal, do they ever cite your operating model as a factor? If you don’t know, that’s the gap.

Full article: Customer Impact & Commercial Alignment

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Dimension 6: Digital & AI Readiness

Are you positioned to leverage AI, or will it expose your gaps?

This dimension assesses whether automation is embedded at scale. It examines whether your technology stack can integrate AI-driven solutions, whether you have a strategy for how generative and agentic AI will augment people and processes, and whether governance addresses AI compliance, ethics, and data protection. The organizations struggling most with AI aren’t the ones who moved slowly. They’re the ones who bought tools before their processes were stable enough to automate. AI doesn’t fix broken processes. It scales them.

Connections: Technology reshapes what’s possible. AI may change the fundamental question of what work should exist at all. AI changes who does what work. The roles you’re hiring for today may not exist in three years.

Risk when neglected: Technology investments that automate chaos. Up to 50% of initial RPA projects fail to meet expectations, according to industry research from Ernst & Young and other analysts. Competitors building AI-enabled models while you’re still debating pilots.

The question that matters: Have you assessed how AI will change the scope, structure, or location of work within your operation? If the answer is “we’re watching developments,” you’re already behind.

Full article: Digital & AI Readiness

V. Common Patterns: Where Organizations Get Stuck

Organizations rarely fail on just one dimension. They fail on the connections between them. The gap between Talent and Operating Model. The disconnect between Governance and Customer Impact. Here are the patterns I see most often:

Pattern 1: Strong on cost modeling, weak on talent sustainability

The business case showed 40% labor savings. It didn’t model 35% attrition. Each departure costs 50-200% of annual salary in recruiting, training, and productivity loss. The savings were real. So was the churn that consumed them.

Pattern 2: Governance designed by people who won’t live with it

Corporate designed the framework. Regions implemented it. Eighteen months later, decision cycles that should take days take weeks. Escalation paths exist on paper but not in practice. The framework created compliance theater, not operational control.

Pattern 3: Technology investment without operating model readiness

The RPA implementation hit targets: 80% automation on pilot processes. Then they tried to scale. Processes varied by region. Exceptions weren’t documented. The bots worked perfectly on workflows that represented 30% of actual volume. The other 70% required humans to clean up what automation couldn’t handle.

Pattern 4: Customer impact measured last, if at all

Internal dashboards glowed green. Cost per transaction down. SLA compliance up. Then commercial lost three renewals in a quarter. Exit interviews revealed the same theme: “Your operations team is hard to work with.” No metric captured it until revenue walked out the door.

A Composite Scenario

A North American freight forwarder had checked every box: cost model validated, governance documented, technology roadmap approved. Eighteen months in, service levels were declining and their largest customer was in QBR escalation. The root cause wasn’t any single dimension. It was the gap between their Talent strategy (hire for process execution) and their Digital strategy (automate routine work). They were simultaneously eliminating the work their team was hired to do while failing to build the capability for what remained.

A diagnostic using this framework would have revealed the misalignment before implementation, allowing them to sequence talent development ahead of automation deployment. Specifically, they needed to reskill 40% of their workforce for exception handling and customer escalation before automating the routine transactions. Their CFO’s post-mortem didn’t make that connection.

The cost of getting stuck isn’t just operational. It’s strategic. Every quarter spent optimizing the wrong dimension is a quarter competitors use to build the model you’ll wish you had.

VI. From Framework to Action

The framework gives you a lens. What you do with that lens determines outcomes.

What Self-Assessment Can and Cannot Do

The Bestshoring Readiness Health Check™ (BRHC™) helps you see where gaps exist. Five minutes. Twenty questions. Immediate clarity on which dimensions need attention.

But self-assessment has limits. It tells you what you answered. Expert diagnosis tells you what it means. Self-assessment shows gaps. Expert diagnosis shows which gaps will cascade. Self-assessment is a snapshot. Expert diagnosis connects it to a transformation roadmap. Internal teams often lack the distance to see patterns clearly or the experience to know which sequence of interventions will actually move the needle.

Prioritization Logic: When Multiple Dimensions Are Weak

Not all gaps are equal. Here’s how to think about sequencing:

• Start with Strategic Clarity if you’re unsure whether your model should exist in its current form. No point optimizing what shouldn’t be.
• Start with Governance if you have execution capability but decisions take too long or accountability is unclear. Governance unlocks speed.
• Start with Talent if attrition is eating your savings or you’re hiring for work that won’t exist in three years. People problems compound fastest.
• Start with Customer Impact if commercial is losing deals or customer satisfaction is declining despite good internal metrics. Revenue risk trumps efficiency gains.
• Start with Digital/AI only if the other dimensions are stable. Automating chaos scales chaos.

This sequencing isn’t universal. Your situation may differ. But it’s a starting point for prioritization.

What The JR Moore Group Delivers

We provide structured diagnostic engagements that move you from uncertainty to clarity in weeks, not months. Organizations typically gain actionable clarity within two to three weeks of engagement. Our Optimization Diagnostic applies the Six Dimensions through facilitated assessment, stakeholder interviews, and pattern recognition built from leading 100+ transformation projects. We work through our Hybrid Consulting Model, combining senior practitioner expertise with focused delivery.

For organizations needing deeper work, we design future-state operating models, build ROI-backed transformation roadmaps, and support implementation. We don’t hand you a strategy and walk away.

Three Ways Forward

If you’re exploring: Start with the BRHC™. See where you stand. It’s free, it’s fast, and it will show you which dimensions need attention.

If you already know you have gaps: Book a consultation. Let’s talk about what a structured diagnostic could reveal for your organization. No commitment. No pitch. Just clarity on whether we’re the right fit.

If you’re not ready to act: Subscribe to the Bestshoring Brief. Stay connected to ongoing insights as you build your path forward.

A Final Word

The framework is yours whether or not we ever work together. I built it because I watched too many logistics organizations make decisions in the dark, optimizing pieces while missing the system, fixing symptoms while root causes compounded.

But if you want a partner who’s been in the room where these decisions get made, who spent 13 years building and scaling the operations you’re trying to optimize rather than advising on them from the outside, I’d welcome the conversation. Traditional consultants can tell you what best practice looks like. I can tell you what actually works when you’re the one who has to deliver it.

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References

External Sources

• 2024/2025 Annual Third-Party Logistics Study (NTT Data, Penske, Penn State)
• McKinsey & Company, Perspectives on Transformation
• BCG, Transformation Study (850+ companies)
• SHRM, Employee Turnover Cost Research
• Gallup, The Cost of Disengagement
• Gartner, RPA Implementation Research
• APQC, Shared Services Benchmarking Data

The Six Dimensions Series

1. Strategic Decision Triggers (When to reassess your model)
2. Model Fit & Value Alignment (How to measure true value)
3. Talent & Cultural Readiness (Building teams that scale)
4. Governance as Optionality Levers (Governance that enables agility)
5. Customer Impact & Commercial Alignment (What outcomes really matter)
6. Digital & AI Readiness (Technology as enabler)

© 2025 The JR Moore Group™, Inc. All rights reserved.