MBUS 804 — Session 2: Strategic Planning Process

01 — The Strategic Planning Cascade

Vision → Mission → Objectives → Plan → Implementation

Strategic planning is not a single document—it's a cascade of nested commitments that translates aspiration into coordinated action. Each level must be coherent with the one above it, and the whole system must be executable by the people below it.

Vision → Mission → Objectives → Strategic Plan → Implementation

The Planning Cascade — each layer answers a different question

Level	Question Answered	Time Horizon	Failure Mode
Vision	Where are we going? What do we want to become?	10–20 years	Too vague to guide choices ("world-class")
Mission	Why do we exist? What business are we in?	Enduring	Too broad (everything) or too narrow (one product)
Objectives	What specific outcomes do we pursue? By when?	3–5 years	Mistaking numeric goals for strategy (Rumelt's "20/20")
Strategic Plan	How do we compete and allocate resources?	1–3 years	47 strategies, no priorities — Rumelt's "dog's dinner"
Implementation	Who does what, when, with what budget?	Quarterly/Annual	Strategy never reaches the front line — Beer & Eisenstat's silent killers

Key distinction: Good strategy is not a list of goals — it's a diagnosis of the situation, a guiding policy that deals with the challenge, and a set of coherent actions. Goals without this kernel are just wishful thinking.

The Corporate Planning Template

Richardson's planning template operationalizes the cascade. Key sections: situational analysis (SWOT / competitive landscape), strategic priorities (no more than 3–5), resource implications, critical assumptions (Discovery-Driven Planning), and implementation milestones. The template forces choices — you cannot include everything.

Planning trap: Most corporate plans are actually budgets in disguise. They project last year's numbers forward rather than making genuine strategic choices about where to compete and how to win.

02 — Greiner: Evolution and Revolution as Organizations Grow

The Growth Model: Five Phases, Five Crises

Larry Greiner (HBR 1972, updated 1998) argues that organizational growth is not linear — it alternates between periods of calm evolution and disruptive revolution. The management practices that drive success in each phase eventually create the crisis that ends it. "Solutions breed new problems."

Phase 1

Creativity

Founders build product, informal culture, long hours, market excitement

Crisis: Leadership

Phase 2

Direction

Professional manager hired, functional structure, centralized control, standards

Crisis: Autonomy

Phase 3

Delegation

Decentralized divisions, profit centres, delegative top-mgmt style, bonuses

Crisis: Control

Phase 4

Coordination

Formal planning, corporate staff, line/product groups, profit sharing

Crisis: Red Tape

Phase 5

Collaboration

Matrix teams, mutual goal setting, team bonuses, social control

Crisis: ?

Organizational Practices Across Phases

Dimension	Ph 1: Creativity	Ph 2: Direction	Ph 3: Delegation	Ph 4: Coordination	Ph 5: Collaboration
Mgmt Focus	Make & sell	Efficiency	Market expansion	Consolidation	Problem solving
Structure	Informal	Centralized functional	Decentralized geographic	Line staff / product groups	Matrix of teams
Top Mgmt Style	Entrepreneurial	Directive	Delegative	Watchdog	Participative
Control System	Market results	Standards & cost centres	Reports & profit centres	Plans & investment centres	Mutual goal setting
Rewards	Ownership	Salary / merit	Individual bonus	Profit sharing / stock	Team bonus

The diagnostic insight: When an organization feels stuck or frustrated, Greiner says to ask which phase you're in and which crisis you're facing. The answer points to the next management model needed — not a reversion to what worked before.

The 1998 Update: Revolution Still Inevitable

Greiner revisited his model 26 years later. His conclusion: the framework held up, but he added that Phase 5 may be followed by an external solution — alliances, mergers, or network organizations — as the firm outgrows what a single leadership team can coordinate. Psychological saturation of the workforce may be the hidden Phase 5 crisis.

Application: VersaCold 2013

Where is VersaCold on the Greiner curve when Doug Harrison arrives as CEO in September 2013? The company is post-merger (multiple acquisitions), has coordination problems, and faces execution failures. Greiner would likely diagnose a Phase 4 (Coordination) Red Tape crisis — too many systems, too little agility, centre pulling against divisions. Harrison's challenge is not to add more process but to move toward Phase 5 collaborative problem-solving.

Watch out: Leaders often apply Phase 2 (directive) solutions to Phase 4 (red tape) crises — adding more controls to an already over-controlled system. This is the Greiner misdiagnosis trap.

03 — Rumelt: The Perils of Bad Strategy

Four Hallmarks of Bad Strategy

Richard Rumelt (McKinsey Quarterly 2011) argues that bad strategy is not the absence of strategy — it's strategy that looks like strategy but avoids the hard choices. Most organizations have bad strategy and don't know it.

Hallmark 1

Failure to Face the Challenge

Strategy requires a clear diagnosis of what's actually wrong. International Harvester — management knew the core issue was labour relations but built a hockey-stick P&L instead. The plan was a lie because it avoided the real problem.

Hallmark 2

Mistaking Goals for Strategy

Chad Logan's "20/20 plan": 20% revenue growth, 20% profit margin — with no explanation of how. A strategy that is indistinguishable from a wish list. "Will = strategy" is a fantasy.

Hallmark 3

Bad Strategic Objectives

Two types: Dog's dinner — 47 strategies, 178 action items, no priorities (everything is equally important, so nothing is). Blue sky — restates the challenge without bridging to action ("we will be the preferred supplier").

Hallmark 4

Fluff

Impressive-sounding jargon that says nothing. "Customer-centric intermediation" — it's a bank. Fluff substitutes complex vocabulary for clear thinking. Leaders who can't explain their strategy simply don't understand it.

Two Root Causes of Bad Strategy

Root 1: Inability to Choose

DEC (Digital Equipment Corp): strategic debate between "boxes," "solutions," and "chips" — leadership couldn't choose, produced consensus fluff
"DEC is committed to providing high-quality products and services and being a leader in data processing" — says nothing
Outcome: acquired by Compaq 1998
Consensus-seeking organizations naturally drift toward fluff — it offends no one

Root 2: Template-Style Planning

Vision / Mission / Values / Strategies — fill in the blanks and call it strategy
Treating planning as a ritual rather than a thinking process
Leadership avoids hard choices by using aspirational language
Result: plan has no diagnostic, no guiding policy, no coherent actions

The Kernel of Good Strategy

1

Diagnosis

What's the real problem?

Defines the nature of the challenge. Must simplify complexity — focus on one or two critical factors. Not a list, not symptoms, but the root issue.

2

Guiding Policy

How do we deal with it?

Overall approach that channels action. Constrains action in some ways while enabling it in others. Not a goal — a principle of action.

3

Coherent Actions

What specifically do we do?

Steps that reinforce each other in support of the guiding policy. Resource allocation, operational moves, organizational choices — all aligned.

Good Strategy in Action: Nvidia (1999)

Diagnosis: Nvidia was losing the 3D graphics performance race — a chip cycle of 18 months was too slow.
Guiding Policy: Release a new chip every 6 months — twice the industry cadence — to stay permanently ahead.
Coherent Actions: Three overlapping design teams (so one is always in production, one in development, one in planning); simulation/emulation facilities to compress testing time; reclaim driver development in-house for quality control.
Result: Intel exited 3D graphics entirely in 1999. 3Dfx went bankrupt in 2000. Nvidia became Forbes Company of the Year 2007.

04 — Kiron & Schrage: Strategy For and With AI

KPI Portfolio = Strategy

David Kiron & Michael Schrage (MIT Sloan Management Review, 2019) make a provocative claim: in a machine learning world, your strategy is defined by the KPIs you choose to optimize. AI doesn't just implement strategy — it reshapes what strategy is.

Strategy FOR AI ↔ Strategy WITH AI

These must be complementary and interdependent — separating them destroys value in both directions

Strategy FOR AI

Building the capability: data infrastructure, talent, governance
Deciding which AI investments the organization makes
Creating data as a strategic asset
Training & organizational readiness
Risk: over-invest in capability without clear strategic application

Strategy WITH AI

Using AI to identify, measure, and optimize strategic KPIs
AI as a co-author of strategy — not just an executor
Machine learning changes which KPIs are measurable
Real-time data loops that enable adaptive strategy
Risk: apply AI to wrong KPIs and optimize for the wrong thing

The Three Strategic Questions Leaders Must Answer

Identify your KPI portfolio: Which outcomes define success? Which are leading vs lagging indicators? Which KPIs are currently unmeasurable but strategically critical?
Use ML to choose, measure, and optimize KPIs: AI expands the frontier of what can be measured. The question is whether you're optimizing the right thing.
Manage data as a strategic asset: Data is not a byproduct of operations — it's the raw material of AI strategy. Organizations that don't govern data can't govern AI.

Core thesis (quote it in class): "Leadership teams that can't clearly identify and justify their strategic KPI portfolios have no strategy." If you can't name the 3–5 KPIs your organization is optimizing for, you don't have a strategy — you have operations.

Case Examples: KPI-Driven Strategy With AI

Uber

Strategic KPI: ETA accuracy

ML reduced ETA prediction error by 50%+ in some cities → driver and rider trust → network liquidity. ETA is not a convenience metric — it's the competitive moat.

McDonald's

Strategic KPI: "a place I'm happy to bring my children" (leading) + family visit frequency (lagging)

ML + Twitter sentiment analysis → $300M acquisition of Dynamic Yield for personalized drive-thru menus. KPI choice drove a major M&A decision.

GoDaddy

Strategic KPI: Customer Lifetime Value (CLV)

Shifted from transactional to relationship strategy using ML-optimized CLV. Market value 2.5X since 2016. CLV alignment changed product, pricing, and sales org.

YouTube

Strategic KPI: "Quality watch time" (not just total time)

Added qualitative dimension alongside raw time. Recognized that maximizing the wrong metric (clickbait) destroyed the strategic asset (creator trust). KPI refinement = strategy revision.

The Data Governance Gap

75%

of executives say AI is core to digital transformation

11%

have an enterprise-wide data strategy

2%

have serious data governance in place

The gap is fatal: Like Rockefeller's railroads, AI is an enormously powerful infrastructure. But infrastructure without governance is liability, not capability. 73% of executives who want AI-driven strategy have no data strategy to support it.

Application to VersaCold

What is VersaCold's strategic KPI? Cold-chain uptime? Temperature compliance rate? On-time delivery? If Doug Harrison can't answer this, Kiron & Schrage say he has no AI strategy — and arguably no strategy at all. The session question becomes: what should VersaCold's strategic KPI portfolio look like, and how could ML help optimize it?

05 — VersaCold 2013: Case Continued

Doug Harrison Takes the Wheel: Sept 2013

VersaCold is Canada's largest cold-chain logistics company. When Doug Harrison becomes CEO in September 2013, he inherits a company that has grown through acquisition but struggles with execution, culture, and strategic focus. Session 2 continues the case from Session 1.

What Harrison Walks Into

Post-acquisition integration challenges — multiple cultures, systems
Operational inefficiencies — temperature failures, on-time delivery issues
Customer trust eroding in a relationship-driven industry
Leadership team misaligned on priorities
No clear strategic KPI that the whole organization optimizes for

What Good Strategy Looks Like Here

Rumelt: clear diagnosis of the real problem (not just "grow revenue")
Guiding policy: compete on reliability, not price
Coherent actions: fix ops before selling, invest in temperature compliance
Greiner: move from Phase 4 (coordination crisis) toward Phase 5 (collaboration)
Kiron/Schrage: define the strategic KPI and build data infrastructure around it

The Corporate Planning Template Applied

The Session 2 assignment likely asks teams to apply Richardson's Corporate Planning Template to VersaCold. Key outputs expected:

Situational diagnosis — where is VersaCold in Greiner's model? What crisis?
Strategic priorities — 3 or fewer, with rationale for what's excluded
AI angle — what KPI should ML optimize? Predictive maintenance? Route optimization? Temp compliance prediction?
Implementation milestones — what changes in 100 days? (Fast Forward preview)
Critical assumptions — what must be true for this plan to work? (DDP mindset)

Frame for discussion: Is Harrison's challenge primarily strategic (bad strategy) or organizational (good strategy, poor execution)? Rumelt and Beer & Eisenstat give different answers. Both matter — but which comes first?

06 — Discussion Hooks & Participation Ready Lines

Questions That Will Come Up + How to Answer Them

Opening Provocation

"Most organizations have bad strategy and don't know it. What does that mean, and why does it happen?"

Rumelt argues bad strategy isn't the absence of strategy — it's the presence of strategy that looks right but avoids hard choices. It happens for two reasons: inability to choose (consensus culture produces fluff) and template-style planning (filling in Vision/Mission boxes substitutes for real thinking). The DEC example is clean: the debate between "boxes," "solutions," and "chips" produced a statement indistinguishable from a press release. Leaders often know the right answer but can't enforce it politically — so they produce fluff that offends no one and guides nothing.

Framework Hook

"Where is your organization on Greiner's growth curve? What crisis is it facing?"

The diagnostic power of Greiner is that it reframes organizational dysfunction as predictable and phase-specific. A Phase 3 crisis of control looks completely different from a Phase 4 red tape crisis — even though both feel like "coordination problems." The key insight is that the solution in Phase 3 (add coordination systems) becomes the problem in Phase 4 (too many systems). Most managers apply the wrong tool because they don't diagnose the phase correctly. For your organization: map its age, size, and the specific friction points. Red tape → Phase 4. Loss of direction → Phase 2. Feeling of over-control → Phase 3 or 4.

AI Pivot

"Kiron & Schrage say your KPI portfolio IS your strategy. Do you agree? What does that mean for how CEOs should think about AI?"

This is deliberately provocative. The Kiron/Schrage claim collapses the traditional strategy/operations distinction — if AI is optimizing your KPIs, and your KPIs define your priorities, then AI is doing strategy, not just execution. The implication is that choosing KPIs is now the most important strategic act. For CEOs: the question is no longer "how do we implement AI" but "which metrics do we want ML to optimize — and are we comfortable with the consequences if it optimizes them perfectly?" YouTube optimizing for watch time got radicalization. McDonald's optimizing for family satisfaction got a $300M acquisition decision.

Integration Question

"Rumelt says strategy requires a diagnosis. Greiner says organizations are in a particular growth phase. How do these two frameworks interact in practice?"

The Greiner phase tells you the organizational challenge you're working within — what management model the organization is ready for. The Rumelt kernel tells you what strategic content that model needs to contain. You can't write a good strategy (Rumelt) for a Phase 2 company the same way you'd write it for a Phase 5 company — the guiding policy and coherent actions look completely different because the organizational capabilities and crisis points differ. For VersaCold: Harrison needs a Rumelt-quality diagnosis AND a Greiner-aware implementation plan that moves the organization from Phase 4 toward Phase 5 while making real strategic choices.

Challenge Question

"If KPI choice is now the key strategic decision, what does that mean for the traditional strategic planning process (vision → mission → objectives)?"

It inverts it. In the traditional cascade, KPIs are outputs — they measure progress against objectives already set by vision and mission. In the Kiron/Schrage world, KPIs are inputs — the choice of what ML optimizes determines what outcomes you actually get, regardless of what the mission statement says. This suggests two things: (1) the planning cascade needs a KPI strategy layer, and (2) AI governance (deciding which KPIs ML can optimize) becomes a board-level issue, not an IT issue. The company that has beautiful mission statements but wrong KPIs will be outcompeted by the company with a good KPI portfolio and adequate narrative.

07 — Exam-Ready Q&A

Likely Exam Questions with Model Answers

Q1: Using Greiner's model, analyze an organization you know. What growth phase is it in, and what crisis does it face? What management model does it need next?

Structure your answer:
1. Identify the phase: Use the five indicators — management focus, structure, top-mgmt style, control system, rewards. Which profile fits? Don't just guess — map the evidence.
2. Name the crisis: Leadership (needs professional mgmt), Autonomy (divisions want freedom), Control (HQ losing sight of divisions), Red Tape (systems choking agility), Psychological Saturation (?).
3. Prescribe the next management model: Each phase has a specific solution — the next phase's management practices. But warn against leapfrogging: you can't skip phases, only navigate them faster or slower.
4. Connect to strategy: The Greiner phase constrains what strategies are executable. A Phase 2 organization can't execute a Phase 5 collaborative strategy — it doesn't have the management systems or culture for it yet.

Q2: Apply Rumelt's three-part "kernel of good strategy" to an organization facing a major strategic challenge. Identify if it currently has bad strategy, and prescribe what good strategy would look like.

Structure your answer:
1. Diagnose the bad strategy first: Which hallmark applies — avoiding the challenge, goals not strategy, bad objectives, or fluff? Use evidence. Name the specific plan, statement, or decision that exemplifies it.
2. Identify the kernel's gaps: Is the diagnosis honest? Does a guiding policy exist? Are the actions coherent with each other and with the policy?
3. Prescribe good strategy: Write the three-part kernel explicitly. Diagnosis = what is the real challenge (one sentence). Guiding Policy = how we deal with it (principle of action). Coherent Actions = 3–5 specific moves that reinforce each other.
Examiner signal: High marks go to answers that are concrete and make real choices — not answers that say "the company should focus on customers and innovation and cost efficiency."

Q3: Kiron & Schrage argue that "your KPI portfolio IS your strategy" in an AI-enabled world. Evaluate this claim and apply it to a specific organization's AI strategy.

Structure your answer:
1. Explain the claim: Traditional strategy sets direction → KPIs measure progress. AI-enabled strategy inverts this: ML optimizes the KPIs you choose, so the choice of KPIs determines actual outcomes. Strategy IS the KPI portfolio.
2. Evaluate critically: The claim is powerful but incomplete. KPI choice is critical but still needs to be grounded in a diagnosis of the competitive environment (Rumelt). And KPIs can't capture everything strategically important — some assets are inherently non-quantifiable (culture, trust, brand). Risk: ML perfectly optimizes the wrong thing (YouTube radicalization).
3. Apply: Choose an organization (your employer, VersaCold, etc.) and identify: (a) current KPI portfolio — is it explicit? (b) what ML could optimize if deployed; (c) what's currently unmeasured but strategically critical; (d) what governance is in place to prevent harmful optimization. Use the stat: 75% say AI is core to strategy, 2% have data governance. Where does this organization fall?

08 — Cross-Session Connections

How Session 2 Connects to the Rest of the Course

← Session 1

Rumelt builds on Beer & Eisenstat: Six silent killers explain why good strategy fails to execute. Rumelt explains why the strategy itself is often bad to begin with. Both are needed — bad strategy + silent killers = guaranteed failure.

← Session 1

Greiner + DDP: Discovery-Driven Planning (Gallo/McGrath) is especially relevant in early Greiner phases where uncertainty is highest. As organizations reach Phase 4, planning becomes more formal — but DDP mindset should persist for new ventures within established firms.

→ Session 3

Planning → Implementation: Even a well-formed Rumelt-quality strategy can fail in implementation. Session 3 (Fast Forward, Murray & Richardson) addresses how to execute organizational change in 100 days — the implementation layer of the planning cascade.

→ Session 3

Greiner → Fast Forward: A company in a Greiner revolution needs fast change. Murray & Richardson's 100-day model is designed exactly for this — urgency + winning conditions to break through the crisis and establish the next phase's management model.

→ Sessions 5–7

Strategic decisions: Greiner Phase 3 (delegation) and Phase 5 (collaboration) set up the diversification and acquisition sessions. The questions of when to diversify and how to integrate acquisitions are Greiner phase decisions as much as financial ones.

AI Thread

KPI strategy is evergreen: The Kiron/Schrage framework applies in every remaining session — ask for any company case: "What is their strategic KPI? How could AI optimize it? What's the governance risk?" This question will earn points in every team presentation.

Assignment — Session 2: VersaCold Future Strategy (Due: June 2, 2026)

Developing VersaCold's Strategic Plan

Build on the Session 1 diagnosis to define where VersaCold should go and how to get there — applying Greiner, Rumelt, and the Kiron/Schrage AI strategy framework.

Q1: How does VersaCold have to position itself to be successful in the future?

VersaCold must reposition from a transactional cold storage vendor to Canada's integrated cold chain solutions partner — the company that national food and pharmaceutical companies trust to manage their entire temperature-sensitive supply chain, not just store their pallets.

The national footprint is VersaCold's only genuine strategic moat — but it currently generates no economic premium because customers procure warehousing and transportation separately, often from regional providers on specific lanes. The repositioning thesis: national scope + integrated commercial management + IT-enabled visibility = a value proposition that regional competitors structurally cannot match.

Greiner lens: VersaCold is entering a Phase 2/3 transition — informal coordination that worked when the company was smaller is breaking down across its geographically dispersed organization. Doug's planning process must not only define strategic direction but also build the coordination mechanisms (centralized strategy, regional execution) that Phase 3 requires. Without this, the strategy will be right but the organization unable to execute it.

Kiron/Schrage AI lens: AI should be positioned as both a capability enabler (predictive demand forecasting, route optimization, billing accuracy) and a strategic differentiator (the data VersaCold generates across its national network is a proprietary asset that, properly analyzed, justifies a 3PL pricing premium). The AI strategy is not separate from the business strategy — it is the mechanism that makes the 3PL value proposition real and defensible.

Q2: What are the key elements of VersaCold's future strategy — vision, mission, key objectives, and strategies?

Vision: "Canada's most trusted integrated cold chain partner — the national logistics backbone for food and pharmaceutical supply chains."

Mission: "To secure the integrity and efficiency of temperature-sensitive supply chains for Canada's leading companies through integrated warehousing, transportation, and logistics management."

Strategic Objectives (3–5 year):

Grow top-25 warehouse account revenue by 20% (reversing the $7.6M YoY decline)
Increase warehouse utilization from 77% to 88%
Eliminate revenue leakage: $0 billing gaps, 100% standard rate increase compliance
Grow 3PL revenue to 20–25% of total warehousing revenue
Enter pharma cold storage with minimum one operational GMP-compliant facility
Cross-sell to 20 integrated accounts (customers using both VWS and VTS)

Corporate Strategies:

Build the integrated national account model: Unify VWS and VTS commercial functions under a national accounts team; one face to the customer across the full cold chain
3PL transformation: Develop a repeatable 3PL service offering (inventory management, carrier management, demand forecasting) piloted with 3 large national accounts before full rollout — apply DDP logic
IT unification as competitive infrastructure: Salesforce CRM → real-time shipment tracking → customer data portal: these three investments enable every other strategic priority
Pharma cold storage entry: Pilot one GMP-compliant facility; build regulatory and operational capability for this high-margin vertical
Strategic acquisition readiness: Position to acquire complementary geographic assets as PE-backed competitors come to market — conditional on CFO hire and financial stabilization first

Rumelt's Kernel: Diagnosis — undermonetized national footprint, atrophied commercial organization. Guiding Policy — become the integrated 3PL partner national accounts trust over any regional provider. Coherent Actions — rebuild sales, unify IT, stop leakage, pilot 3PL, fill leadership gaps. These three elements in sequence, not simultaneously.

Q3: What are the key elements of the future culture needed to support this strategy?

VersaCold's current culture — inherited from the cost-cutting era — is characterized by passivity (no one sells, no one challenges billing errors), geographic silos (WH and VTS don't talk), and low accountability (revenue leakage is known but not addressed). Beer & Eisenstat would call this a "silent killer factory" — norms of non-confrontation that prevent execution.

Target culture behaviors:

Proactive commercial accountability: Every facility manager is accountable for account revenue, not just operations. No account shrinks without an explicit recovery plan.
Cross-BU collaboration: WH and VTS account teams meet quarterly to identify integrated account opportunities. Cross-sell is measured as a KPI, not a hope.
Execution discipline: Rate increases happen annually without exception. Billing is reconciled monthly. IT projects have owners and hard deadlines.
Leadership transparency: Doug's executive team meets in person quarterly; regional leaders receive consolidated performance data. Geographic silos are explicitly broken.

Fast Forward Ch. 3 — Winning Conditions: Guidance (clear strategic direction from Doug, not just aspirational language); Speed (90-day action plan with visible early wins, not a 12-month rollout); Momentum (rate increases, CFO hire, Salesforce pilot — these early wins signal that change is real and irreversible).

Power (HBR) principle: Culture change must be done quickly. A slow culture change program at VersaCold will produce neither the old culture nor the new one — just organizational confusion. Doug's first 100 days must produce visible behavioral change at the executive level, or the organization will revert to prior norms.

Q4: What should the initial strategic priorities be for the first 12–18 months of implementation?

Months 1–3: Stop the bleeding + Build the foundation

Hire CFO and VP Sales — highest-priority talent decisions. Every subsequent priority depends on them.
Implement standard annual rate increase across all accounts — no exceptions. Recover $1–2M EBITDA in the first cycle.
Audit and close billing gaps — the $2–3M revenue leakage is addressable with process discipline, not technology investment.
Consolidate IT project list from 20 to 5 priorities; launch Salesforce CRM implementation.
Hold first cross-BU commercial meeting: identify 10 target integrated accounts.

Months 3–6: Build commercial engine + Test 3PL hypothesis

VP Sales hires 3–4 national account managers; missionary sales calls begin on top 50 accounts.
3PL pilot launched with 2 national food company accounts — document assumptions per DDP logic; set checkpoint criteria before month 6.
Salesforce CRM live with basic pipeline and account tracking; facility managers trained.
First regional leadership meeting with Doug present — set cross-BU KPIs and accountability structure.

Months 6–12: Grow + Validate

Top-25 account revenue trend reversal must be measurable by month 9 — if not, the commercial rebuild is failing.
3PL pilot DDP checkpoint: proceed, pivot, or exit based on whether key assumptions held.
Begin pharma cold storage scoping: one suitable facility identified, regulatory consultant engaged.
Succession recruitment begun for VWS VP West (Bilbro retirement ~2 years away).

Months 12–18: Scale what works

3PL full rollout if pilot validated: standardized service offering, pricing model, and delivery process in place.
Intermodal partnership established: first rail-integrated shipments with a major food company customer.
M&A pipeline active: with CFO in seat, VersaCold is capable of evaluating PE-backed acquisition targets.
Greiner Phase 3 governance model operational: regional GMs with P&L accountability, central strategic coordination.