The AI Mandate - SME Leaders Must Act Now
- Jerome Dickey
- Jan 28
- 4 min read
There’s a quiet shift happening in leadership conversations and many Small-Medium Enterprise (SME) Leaders are better positioned than they think.
Not hype. Not panic. But a growing realization:
AI is no longer a “nice-to-have” innovation. It’s a leadership mandate.
The question facing most business leaders is no longer if AI will affect their business—but how intentionally they choose to engage with it.
AI success is not about size, sophistication, or perfection. It’s about leadership mindset, organizational design, and disciplined experimentation.
And in that reality, SMEs have a meaningful advantage.

Why SMEs Are Better Positioned for AI Than Large Organizations
Large enterprises have scale, capital, and data. SMEs have something just as powerful—and often more decisive:
⚡ Faster decisions
🧪 Easier experimentation
🤝 Tighter feedback loops
🧠 Direct access to leadership
🔁 Less structural inertia
In conversations, I hear such things as: “we’re too small” or “where do we start?” or “once things settle down and are less busy we can look at it” or “we can wait for use cases and best practices to emerge from others before we invest time and money”.
HBR’s “The Gen AI Playbook for Organizations” makes the opposite case:AI value is created closest to the work, where teams understand real problems and can test solutions quickly.
SMEs don’t need massive AI programs, they need practical experiments tied to real business challenges.
The Real Mandate: Systematic Experimentation, Not One-Off Tools
AI adoption fails when it’s treated as a project. AI succeeds when it’s treated as a system for learning.
For SME leaders, this requires a shift:
❌ From “Which AI tool should we buy?”
❌ From “What’s our AI strategy document?”
To:
✅ “Where can AI reduce friction today?”
✅ “What small experiments will help us learn fastest?”
This is not about chasing every new tool. It’s about building an organizational habit of experimentation.

Match AI to Your Reality—Not to Headlines or Big-Tech Case Studies
Many leaders may feel pressure to replicate what large organizations are doing. That’s a mistake.
Your AI approach must reflect:
Your size and maturity
Your industry and customers
Your people’s skills and comfort level
Your capacity for change
For most SMEs, early AI value comes from:
Drafting proposals, emails, and reports
Supporting sales preparation and follow-up
Improving customer response speed and consistency
Reducing administrative load
Enhancing internal knowledge sharing
AI should make your people better—not busier, and not replaceable.
Why Flexibility Is the New Advantage
HBR’s “Become an Octopus Organization” offers a powerful metaphor for this moment.
Octopus organizations:
Are decentralized
Adapt quickly
Push decision-making closer to the edges
Learn continuously from their environment
This model maps perfectly to SME strengths.
Rather than centralizing AI decisions at the top, effective leaders:
Encourage teams to test AI within guardrails
Share learnings across the organization
Scale what works—and drop what doesn’t
AI accelerates this model by enabling:
Faster sensing of opportunities
Rapid response to customer needs
Distributed innovation without bureaucracy
For SMEs, this isn’t a stretch goal but rather it’s a natural evolution.

The Leadership Mindset That Matters Most
AI transformation is not primarily technical, it’s human and cultural.
Leaders who succeed with AI:
Admit they don’t have all the answers
Learn alongside their teams
Create psychological safety to experiment
Reframe AI as augmentation, not replacement
This matters because many employees feel uncertainty—not excitement—about AI.
Your leadership role is to shift the narrative:
From fear → to capability
From replacement → to partnership
From perfection → to progress
Growth Coach Reflective Questions for SME Leaders
Use these to anchor AI discussions in reality:
1. Where are people spending time on repetitive or low-value work?
2. Where do customers experience friction we’ve learned to tolerate?
3. What decisions could be improved with better insight or scenario testing?
4. How comfortable are we with experimentation and learning in public?
5. What would “making ourselves better” actually look like in our context?
Practical AI Experiments To Start Now
✅ Experiment 1: One Team, One Tool, One Problem
Choose one team
Identify one recurring challenge
Test one AI tool for 30 days
Review impact, risks, and learnings
✅ Experiment 2: AI as a Thinking Partner
Have managers and leaders use AI to:
Prepare for meetings
Stress-test decisions
Explore alternative scenarios
The goal isn’t automation—it’s better judgment.
✅ Experiment 3: Customer Friction Mapping
Map a customer journey and ask:
Where does waiting occur?
Where is information duplicated?
Where does human judgment matter most?
Introduce AI only where it improves clarity, speed, or consistency.
Action Steps for Leaders Embracing the AI Mandate
1. Treat AI as a leadership learning priority, not an IT initiative
2. Start small, visible, and tied to real work
3. Give teams permission to experiment within clear guardrails
4. Review AI learnings monthly—not annually
5. Scale what works; stop what doesn’t
6. Invest in confidence before complexity
The Bottom Line
The AI mandate for SME leaders is not about keeping pace with large organizations in this fast-changing competitive environment, rather it’s about using agility as an advantage.
Those who wait for certainty will fall behind as the first phase begins to shift from learning and using AI tools to automating work flows. Those who experiment thoughtfully will build capability, confidence, and momentum.
AI won’t replace leaders but it will amplify the gap between those who learn—and those who hesitate.
If you want support designing practical AI experiments, engaging your team, or building leadership confidence in this next phase, let’s talk. This is where SME leadership makes the biggest difference.
Jerome Dickey
%20transparent.png)




















Comments