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AI for the 200 Person Company

By Clinton Goveas

This book serves as a practical manual for leaders of mid-size enterprises navigating the adoption of artificial intelligence without the benefit of large technical teams or enterprise budgets.

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Adopt AI across your company — without hiring an AI team or an enterprise budget.

  • The 30-Day AI Audit Framework — find the workflows actually worth automating
  • The 90-Day Pilot Playbook — prove a pilot pays for itself before you commit budget
  • The real economics of AI — what a lean monthly budget buys, and what it doesn't
Get the Kindle edition →

159 pages · Instant delivery · Start reading in two minutes

Written by a technology leader who took AI adoption to 70% of a 200-person company — not a consultant's playbook.

  • 159-page Kindle edition — read it in an afternoon
  • Buy on Amazon — or free with Kindle Unlimited
  • Instant digital delivery — on any Kindle app or device
Order on Amazon →

This Is Not a Book About Neural Networks.

It Is a Tactical Operations Manual for Decision-Makers.

Written specifically for executives who demand practical, measurable business outcomes, this book answers the exact questions your leadership team is asking:

  • What can AI actually do reliably today—and what is pure vendor demo delusion?
  • How do we identify our highest-ROI opportunities without hiring a single data scientist?
  • How do we run low-risk, 90-day pilot programs that prove their worth before committing serious capital?
  • When should we buy an off-the-shelf tool, when should we integrate via API, and when should we flatly ignore the pitch?

What You’ll Discover Inside:

1. The 30-Day AI Audit Framework

You don’t need expensive consultants to tell you where your inefficiencies lie. Spend 2 to 5 hours a week for 4 weeks to map, score, and prioritize your internal processes:

  • The 4 Process Mapping Criteria: How to isolate repeatable, manual, information-heavy bottlenecks taking >30 minutes per cycle.
  • The 0-to-10 AI Fit Scorecard: Grade any workflow across five core metrics (Information Intensity, Rules-based structure, Repetition, Friction, and Measurable output).
  • The Effort-Value Matrix: How to immediately separate your high-yield quick wins from expensive “Build Traps.”

2. The Real Economics: The Taboo Topic of AI Costs

No more hidden surprises. Discover what software, integration, and human change management actually cost:

  • What a modest monthly budget for off-the-shelf AI tooling can legitimately achieve today.
  • The hidden operational and maintenance costs vendors leave out of pitch decks.
  • A step-by-step formula to calculate hard annual savings: (Hours Saved × Loaded Labor Cost) + Error Reduction + Revenue Acceleration.

3. The 90-Day Pilot Playbook

Stop commissioning open-ended “R&D projects.” Run structured, 3-phase pilots with clear kill-or-scale criteria:

  • Days 1–14 (Prepare): Establishing baseline metrics, choosing project champions, and locking down scope.
  • Days 15–45 (Launch): Controlled frontline deployment with real-world feedback loops.
  • Days 46–90 (Evaluate): Assessing user adoption, measuring ROI, and building the business case for permanent rollout.

4. The Functional Blueprints (What Works by Department)

  • The Invisible Goldmine (Back-Office & Finance): Automating document extraction, invoice reconciliation, and HR onboarding to slash manual cycle times by up to 70%.
  • Customer-Facing Applications: How to deploy chatbots that don’t embarrass your brand, automate sales enablement, and understand the critical moments when you should never let AI touch a customer.
  • The Engineering & IT Team: Equipping your existing developers with code assistants, test automation, and infrastructure documentation to unlock 20–30% capacity gains without adding headcount.

5. Pragmatic Governance & The “Good Enough” Data Principle

  • Debunking the multi-million-dollar data lake myth: Why your company’s existing spreadsheets and shared drives are already “good enough” to start generating value.
  • A lean 4-Pillar Governance Framework (Alignment, Security & Privacy, Accuracy & Reliability, Accountability) to protect client data, maintain compliance, and avoid catastrophic hallucinations.

Who Needs This Book in Your Organization?

RoleWhy They Need It Immediately
CEOs & Managing DirectorsTo lead the board with authority, cut through vendor hype, and protect the P&L from vanity projects.
COOs & Heads of OperationsTo systematically identify 20–40% operational efficiency gains across manual back-office tasks.
CFOs & Finance LeadersTo benchmark realistic software budgets, verify ROI models, and stop recurring SaaS creep.
CTOs & IT DirectorsTo safeguard company data, avoid the “Build Trap,” and deliver quick, scalable wins without overburdening existing staff.
Department HeadsTo equip frontline teams with practical tools that eliminate routine administrative drag.

The Real Cost of Waiting

A single misguided enterprise software contract or poorly scoped AI development engagement can easily burn through a large part of your operating budget—not to mention months of lost momentum and team fatigue.

AI for the 200-Person Company costs less than an executive lunch.

If it helps you avoid just one bad vendor pitch, automate one repetitive finance process, or save your frontline team 10 hours a week, it will return its investment hundreds of times over in the first quarter alone.


Take Control of Your Company’s AI Strategy Today

Don’t let competitors automate past you, and don’t let aggressive vendors sell you technology you don’t need.

Get the grounded, practical manual built specifically for the realities of the mid-market enterprise.

👇 Click the link below to purchase your copy on Amazon:

📖 Order “AI for the 200-Person Company” on Amazon Kindle

Instant digital delivery. Start reading on any Kindle app or device in less than two minutes.


P.S. If your team is currently arguing over whether to build custom software or buy off-the-shelf tools, turn directly to Chapter 5: The Build Trap. That chapter alone could save your organization tens of thousands of dollars and six months of wasted engineering cycles.

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