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Mid-Market Strategy

Enterprise Strategy.
Without the Firm.

The rigor CIOs and CTOs rely on, delivered without the layers, delays, or inflated costs of big consulting firms.

Direct access. Lean engagement.

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Ryan King, Founder of RLK Consulting

The Mid-Market Gap

Most mid-market technology leaders carry the complexity of a Fortune 50 CTO without the team, budget, or board infrastructure to match.

Generic coaching lacks the depth. Big-firm consulting adds the bloat. RLK is the third option.

48%

of middle market companies operate without a formal strategic plan

Nat'l Center for the Middle Market

9 in 10

organizations fail to fully execute their strategic priorities

Kaplan & Norton / HBR

5–10×

minimum engagement ROI: the threshold every RLK engagement is built to clear

RLK Engagement Standard

Every engagement is built to clear that bar. If the math doesn't work for your situation, I'll tell you in the first conversation, and we won't start.

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Who You're Working With

The strategist you talk to is the one who does the work.

Ryan King, Founder of RLK Consulting

Ryan L. King

Founder, RLK Consulting

Over fifteen years advising CIOs, CTOs, and senior technology leaders responsible for enterprise-scale systems, large portfolios, and board-level accountability. First at McKinsey and Deloitte, then at RLK.

I work with technology leaders in transition: stepping into a new role, stabilizing under scrutiny, navigating cost pressure, modernizing delivery, or preparing for a transaction moment. The work is about repositioning technology as a front-office enabler, a function that creates value the business can underwrite.

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Why Leaders Choose RLK

  • Clarity fast: most engagements wrap in ~6 weeks
  • Repeatable frameworks and rigorous analysis, not guesswork
  • Direct access to a McKinsey- and Deloitte-trained strategist

Background

Firms
McKinsey & Deloitte
Experience
~15 Years
Typical Engagement
6 Weeks
ROI Target
5–10×

Client Work

Representative engagements.

Work completed at McKinsey, Deloitte, and through RLK.

Board Analytics

Fortune 500 Insurance CIO

Result

Board embraced the framework on first presentation

A Fortune 500 insurance CIO needed a board-facing technology scorecard. Existing reporting was nonexistent and immature at best: no coherent framework, no financial translation, nothing the board could use to assess technology value. RLK designed 13 board-facing metrics and 30 underpinning IT health metrics for IT leadership, including custom indices calibrated against insurance industry peers. IT became the first function in the organization with reporting that mature. Technology went from a cost center narrative to a value creation story in a single presentation.

Systems Strategy

Global Logistics Operator

Result

Board approved multi-year program on first reading

A global logistics operator carried five inherited ERPs across acquired entities and had no commercial case the CFO could take to the board. RLK built the consolidation case across twelve workstreams (finance close, inventory, planning, procurement, HR) with sequencing that ran the lowest-risk workstreams first. The board approved the multi-year program on the first reading.

Investment Prioritization

IRS CIO

Result

$4B in modernization capital deployed against named outcomes

The IRS CIO received substantial Inflation Reduction Act funding with no prioritization framework. Capital availability was not the problem; deployment discipline was. RLK built the investment prioritization framework tied to specific taxpayer experience outcomes and tranche-level accountability. Approximately $4 billion in modernization capital was deployed against named outcomes, and the program was nationally recognized with industry awards.

Cost Strategy

Regional Healthcare Organization

Result

11% technology spend reduction, zero capability reduction

A regional healthcare organization faced a board mandate to cut $3M in annual technology spend without impacting operations. Spend analysis identified the savings by restructuring two major vendor relationships and eliminating redundant licensing. Full savings realized within 90 days, at zero capability reduction.

Growth Strategy

PE-Backed Technology Services Firm

Result

Board-ready growth plan cleared in a single session

A PE-backed technology services firm ($220M ARR) needed a board-ready growth plan ahead of a recapitalization. RLK mapped three underserved segments with quantified revenue upside, sequenced the sprint plan, and built the supporting financial model. The plan cleared the board in a single session.

AI Enablement

Financial Services Firm

Result

Three pilots moved to production within a single quarter

A financial services firm with 14 active AI pilots and zero production deployments. Structural diagnostic identified a governance bottleneck: every AI rollout required a compliance committee cycle averaging 8 months. Redesigned approval framework cut cycle time to 6 weeks. Three pilots moved to production within the next quarter.

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Offerings

Built around a defined problem.

Not a scope that expands until the budget runs out. A focused sprint that produces decision-ready output and clears a defined ROI threshold.

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Other scopes

These are the engagements where I go deepest and clients see the most repeatable results. Other scopes are possible. If your situation doesn't fit a category, start a conversation.

Thinking Out Loud

A look into the frameworks and analysis behind the work.

All posts →

Topical strategy and AI perspectives written with the same rigor applied in client engagements. Specific enough to be useful, direct enough to share with your team.

Sam Altman Is An LLM From The Future. Here Are The Logs.

The simplest way to make sense of Sam Altman: he is a large language model from ~2034, fine-tuned on the complete works of Y Combinator, and instructed to build the very thing he keeps warning us about. The evidence is in the outputs.

7 min read

The 95 Percent: What the AI Failure Stat Actually Means

The MIT finding on AI pilot failure is not a verdict on the technology. It is a verdict on procurement. The 5 percent that worked share a structural posture toward scope and accountability; it is teachable.

7 min read

Good Intentions Are Not a Strategy: The Case for Analytical Philanthropy

The Gates Foundation's malaria intervention points to a deeper lesson: philanthropic capital creates far greater impact when deployed with analytical discipline: the same rigor that governs effective investment capital.

5 min read

New · AI Diagnostic · $397

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Why Now

The age of AI is a reason to hire this kind of consultant, not avoid one.

AI can draft the framework, synthesize the research, and generate the analysis. What it cannot do is sit in front of your board and defend the recommendation. It cannot read the room, tell you which assumptions are wrong, or push back when the strategy misreads the organization.

The consultants being replaced are the ones who charged for research, benchmarking, and deck assembly. That arbitrage is gone. What remains irreplaceable is pattern recognition built from doing this work across real organizations under real pressure: knowing which of your five AI initiatives are real and which three are theater, reading what isn't being said in a leadership meeting, pushing back on a CEO when the plan is wrong, and sequencing moves correctly when every stakeholder has a different priority.

In practice: I use AI tools to compress the analytical groundwork that used to take weeks. Spend analysis that once took two weeks now takes two days. Market benchmarking happens in hours, not cycles. That efficiency goes back to the client in the form of faster timelines and lower engagement cost. The judgment calls, the organizational read, and the work in the room are still mine.

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What still requires human judgment
  • Reading organizational dynamics and stakeholder credibility
  • Knowing which data to trust and which assumptions are wrong
  • Defending a recommendation in a high-stakes room
  • Telling a CEO the plan needs to change
  • Sequencing decisions when every option has a tradeoff
What AI does well
  • Synthesizes large volumes of information quickly
  • Generates frameworks, drafts, and structured analyses
  • Runs scenarios and benchmarks at scale

Free Resource

The Human and Machine Company

A strategic guide for executives navigating AI adoption without losing the organizational judgment that creates competitive advantage.

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