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AI Strategy That Actually Ships

78% of enterprises now use AI in at least one business function. But 70–85% of AI initiatives fail to meet expectations. The difference isn't the technology — it's whether you had a strategy before you bought the tool. That's where we come in.

78%
of enterprises now use AI in
at least one function
$3.70
average return per dollar
invested in GenAI
42%
of companies abandoned most
AI initiatives in 2025
6%
of organizations qualify as
"AI high performers"

Why AI Feels Harder Than It Should

You've heard the hype. You've seen the demos. But when it comes to actually implementing AI in your business, the gap between promise and reality is massive.

🔴 What We Keep Seeing

The $100K Question Nobody Answers

  • Leadership says "we need AI" but nobody can articulate what problem it solves
  • Subscriptions pile up — ChatGPT, Copilot, Jasper, Grammarly — with zero integration strategy
  • IT gets tasked with "the AI project" but has no business context to prioritize what to build
  • Vendors pitch AI features that sound transformative but require 6 months of data cleanup first
  • The CEO read an article. Now everyone's scrambling to look productive around AI
  • Internal "AI champions" burn out because there's no governance, no budget, no executive sponsor
🔵 What Should Be Happening

Strategy Before Software

  • An honest assessment of your data, processes, and team readiness — before any tool purchase
  • A clear map of every department's workflows to identify where AI creates actual leverage
  • ROI modeling for each initiative so leadership approves with confidence, not hope
  • A phased roadmap tied to your real KPIs — not a consultant's generic template
  • Governance guidelines so your team adopts AI responsibly and sustainably
  • An executive-ready briefing that translates technical potential into business language

The Numbers Behind the Noise

We don't just follow AI trends — we study the data so you don't have to. Here's what the latest research says about where the market actually is.

91%
SMBs See Revenue Growth
Of small businesses currently using AI, 91% report revenue growth — the highest correlation of any technology investment.
46%
AI Projects Scrapped
The average organization scrapped 46% of AI proof-of-concepts before production in 2025. Strategy prevents this waste.
26%
Can Move Past POC
Only 26% of organizations have the capabilities to move AI initiatives from proof-of-concept to full production deployment.
$10.30
Top Performer Returns
While average GenAI ROI is $3.70 per dollar, top performers achieve $10.30 — a 3x gap driven entirely by strategy quality.
35%
#1 Barrier: Integration
Infrastructure integration is the top challenge cited by AI leaders — not cost, not talent. Your systems need to be ready first.
74%
Data Investment Gap
74% of growing SMBs are increasing data management investments vs. only 47% of declining ones. Data readiness predicts success.
Sources: McKinsey State of AI 2025, Deloitte Enterprise AI Report, SBA Office of Advocacy, U.S. Chamber of Commerce

How AI Consulting Options Stack Up

The market is flooded with AI consultants. Here's an honest comparison of what each tier offers — and where MGC fits.

Criteria Big 4 Firms
(McKinsey, Deloitte, BCG)
Offshore AI Shops
(DataRoot, Tenupsoft)
Solo AI Consultants
(Freelancers)
MGC Global
Consulting
Entry Price $100K–$500K+ $10K–$50K $2K–$10K Engagement-based, accessible
Strategy + Implementation Strategy only (implementation outsourced) ~ Implementation only (no strategy) ~ Varies widely End-to-end: strategy through execution
SMB Experience Enterprise-focused ~ Builds to spec, not context ~ Individual expertise varies Purpose-built for growth-stage SMBs
Vendor-Agnostic ~ Often have platform partnerships Build on their preferred stack Usually independent We don't sell software — we advise
Business Context Deep industry research Minimal business context ~ Depends on individual Operations-first thinking
The Real Difference You get a binder You get code You get advice You get a system that works

The 4-Phase AI Strategy Engagement

No generic playbooks. Every engagement follows a proven structure — but the content is built entirely around your business, your data, and your goals.

1
Week 1–2

Discovery & Assessment

We don't start with what AI can do. We start with what your business actually needs. Deep-dive interviews with leadership, operations, and frontline staff to map pain points, data flows, and decision bottlenecks.

  • Stakeholder interviews (executive + operational)
  • Current tech stack inventory & data audit
  • Process mapping for high-friction workflows
  • AI Readiness Score (1–100 scale)
🔍
2
Week 2–3

Opportunity Mapping & ROI Modeling

We identify every AI opportunity in your business and rank them by impact, feasibility, and speed-to-value. Each one gets a financial model your CFO can actually evaluate.

  • Prioritized opportunity matrix (impact vs. effort)
  • ROI projections for top 5–8 initiatives
  • Tool evaluation matrix (vendor-agnostic)
  • Risk assessment for each initiative
📊
3
Week 3–4

Strategic Roadmap Development

Not a deck that sits in a drawer. A 90-day phased plan with weekly milestones, resource assignments, and success metrics tied to your actual business KPIs.

  • 90-day phased implementation plan
  • Technology recommendation brief
  • Change management playbook
  • AI governance framework (policies, data handling, compliance)
🗺️
4
Week 4+

Executive Delivery & Activation

We present findings to your leadership in their language — not ours. Then we stay to help you execute. Strategy without follow-through is just a PDF.

  • Board-ready executive briefing deck
  • Live presentation to leadership team
  • 30-day implementation kickstart support
  • Optional: Retainer for ongoing guidance
🚀

Tangible Deliverables. Not Just Advice.

Every engagement produces real documents, real models, and real plans you own forever. Nothing stays locked in our heads.

📋

AI Readiness Assessment

Comprehensive evaluation of your data infrastructure, team capabilities, current tech stack, and organizational readiness — scored on a 100-point scale with specific improvement actions.

📊

ROI Model & Business Case

Financial projections for each AI initiative showing expected returns, break-even timelines, resource requirements, and risk-adjusted outcomes your leadership team can approve with confidence.

🔍

Tool Evaluation Matrix

Vendor-agnostic comparison of AI tools against your specific requirements. We don't sell software — we recommend what actually fits your budget, team, and technical reality.

🗺️

90-Day Implementation Roadmap

Phased plan with weekly milestones, resource assignments, dependencies, and success metrics. Not a vague timeline — every single week has defined deliverables and accountability.

🛡️

AI Governance Framework

Policies for responsible AI use, data handling protocols, compliance guidelines, and acceptable use standards — tailored to your industry and regulatory environment.

🎯

Executive Briefing Deck

Board-ready presentation summarizing findings, recommendations, and the strategic case for AI investment — written in the language your leadership team actually speaks.

What This Looks Like in Practice

Every industry has different AI leverage points. Here's how we approach the types of businesses that typically engage us.

Healthcare & Home Care

A 200-employee home care agency drowning in intake paperwork

Manual referral processing takes 4–6 hours per patient. Staff copy-pastes between systems. Leads fall through cracks. We audit the intake workflow, map AI-assisted document processing, and build a roadmap to cut intake time by 60%.

Projected Impact: 24-hour intake capability, 35% more referrals processed with same staff
Professional Services

A 50-person consulting firm losing deals to slow proposals

Proposal creation takes 2 weeks. Partners rewrite the same sections repeatedly. Win rates are declining. We identify AI-assisted proposal generation, smart content libraries, and automated competitive analysis as quick wins.

Projected Impact: Proposal time reduced to 3 days, win rate improvement of 15–20%
Real Estate

A brokerage with 80 agents and no data strategy

Market analysis is manual. Lead scoring doesn't exist. Agents choose listings by gut feel. We map AI-driven market intelligence, predictive lead scoring, and automated follow-up sequences into a phased rollout plan.

Projected Impact: 40% improvement in lead conversion, agents focus on closings instead of research
Staffing & Recruiting

A recruiting firm screening 500+ resumes per week by hand

Recruiters spend 70% of their time on screening, not relationship building. We design an AI screening workflow with semantic matching, automated ranking, and bias-audit protocols that cut screening time by 80%.

Projected Impact: 80% reduction in screening time, recruiters refocused on high-value placement

Is This Right for You?

We'd rather be honest upfront than waste your time. This engagement works best for a specific profile.

✅ Great Fit If You...

  • Have 20–500 employees and are growing
  • Know you need AI but aren't sure where to start
  • Have leadership buy-in (or need help building the case)
  • Want a strategy before buying more tools
  • Operate in healthcare, professional services, real estate, staffing, or similar
  • Care about doing AI responsibly, not just fast
  • Need someone who understands operations, not just technology

⬜ Not the Best Fit If You...

  • Just want someone to set up ChatGPT for your team
  • Need custom machine learning model development
  • Are looking for the cheapest option available
  • Want a generic "AI transformation" PowerPoint deck
  • Aren't willing to invest in data readiness
  • Need enterprise-scale deployment (1000+ users)
  • Want us to replace your IT department

Let's Find Your AI Advantage

Start with a free 30-minute strategy conversation. We'll identify your highest-impact opportunities, assess your readiness, and tell you honestly whether working together makes sense.

Or reach us directly: [email protected]  |  410-952-2846

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