AI Strategy Workshop
From Prompts to Productivity Workshop 4
Your teams have learned how AI improves productivity and creativity. Now leadership must answer the strategic question that precedes all others: Do we officially adopt AI as an organization? And if so, how? This AI Strategy Workshop provides senior managers with the clarity, risk assessment, and governance blueprint needed to make a responsible, informed decision.
It focuses not on day-to-day prompting, but on enterprise-level choices, such as:
- Should AI be permitted, restricted, or banned?
- What business value could we gain – and what liabilities could we incur?
- What guardrails, roles, and rules must exist before we scale usage?
- What risks threaten business continuity if AI tools change, fail, or introduce errors?
- How do we protect the company legally, operationally, and reputationally?
By the end, you leave with a concrete AI Usage Policy + Decision Framework that determines if, where, and how AI will be adopted.
Why this workshop matters now
Most companies are no longer asking “What can AI do?”. They are asking:
“Are we willing to take responsibility for what AI might do?”
Productivity gains are real, but so are the risks:
Opportunities
- +20–50% productivity in knowledge work
- Improved creativity, ideation, and decision speed
- Faster execution across processes
- Competitive differentiation and market share gains
Risks
- Liability: AI-generated customer emails, documents, or decisions may be wrong or harmful
- Operational dependency: What if a model/outage makes core workflows unusable?
- Compliance breach: Data-handling violations, confidentiality leaks
- Quality & accuracy risks: hallucinations, bias, inconsistent output
- Vendor risk: What if a provider changes pricing, licensing, or becomes unavailable?
This workshop helps leaders evaluate these risks rigorously and build a strategy that balances value creation with risk exposure.
Who should attend
This is an executive-level decision workshop for those responsible for defining whether and how AI will be used:
- C-level and senior managers
- Risk, compliance, and legal leaders
- CIO/CTO and IT governance
- HR/L&D defining employee usage rules
- Transformation and PMO leads
No technical background is required. The focus is policy, governance, risk, and strategic adoption.
What you will achieve
1. Decide your AI position: Yes, No, or Conditional
We begin with a structured model that evaluates:
- Business-case attractiveness
- Regulatory exposure
- Operational readiness
- Cultural fit
- Risk appetite
This leads to one of three strategic positions:
- Adopt AI and scale (offensive strategy)
- Selective participation with guardrails (controlled strategy)
- Restrict or postpone adoption (defensive strategy)
Leaders leave with a justified, documented decision.
2. Evaluate opportunities vs threats
We map your organization’s:
Chances (Value Creation Potential)
- Efficiency gains
- Workflow acceleration
- Improved quality and consistency
- New products, services, or revenue channels
Risks (Exposure Areas)
- Legal and compliance vulnerabilities
- Incorrect or harmful outputs
- Reputational damage
- Model or vendor dependency
- Data privacy and intellectual property issues
You receive a risk-reward assessment that forms the backbone of your AI position.
3. If you choose to adopt: define the rules of responsible usage
If the decision is “yes” or “conditional yes,” we design the governance foundation:
Guardrails for daily use
- What is allowed
- What is prohibited
- What needs approval
- What requires human validation
- Where sensitive data may/may not be used
Validation procedures
- Mandatory review steps before sending external content
- Accuracy checks
- Source verification
- Documentation of AI-assisted decisions
Compliance & legal requirements
- Data-handling rules
- IP management
- Regulation-aligned conduct (GDPR, EU AI Act, sector rules)
- Liability and penalty avoidance strategies
Result: a ready-to-use AI usage policy tailored to your organization.
4. Build an AI governance system
We define the structural backbone necessary for responsible AI:
- Roles: AI Owner, Compliance Lead, Human Validator, Prompt/Model Administrator
- Decision rights: who approves tools, use cases, data types
- Escalation paths: for errors, incidents, or model-generated risk
- Vendor & tool selection criteria
- Business continuity & fallback plans (if AI tools fail or are withdrawn)
This ensures AI never introduces unmanaged exposure or operational fragility.
5. Create your 90-day implementation roadmap
If you choose to move forward, we conclude by building:
- Top 5 organizational priorities
- Rollout steps for governance and validation processes
- Immediate risk-mitigation initiatives
- Communication plan for employees
- Timeline to publish your internal AI Policy & Handbook
Outcome: a clear, cautious, controlled path to responsible adoption.
Workshop structure (3 hours)
- Executive briefing: AI landscape, risks, regulatory pressures, leadership obligations.
- Strategic decision model: Evaluate “Adopt / Conditional / Restrict”.
- Risk–reward analysis: Map chances vs risks across business functions.
- Governance & guardrails design: Define rules, validation steps, restrictions.
- AI usage policy & roadmap: Build your 90-day plan and preliminary policy.
- Wrap-up: Recommendations, next steps, decision documentation.
What you take away
- Your organizational AI stance (Adopt / Conditional / Restrict)
- A documented risk–reward assessment
- A draft AI Usage & Governance Policy
- Guardrails, validation steps, and employee instructions
- A high-level AI governance model with roles & responsibilities
- A 90-day roadmap for safe adoption
- A digital summary deck for internal communication and decision-making
Why this version of the workshop is different
Most AI sessions push toward adoption. This one prepares leadership to make a defensible, risk-aware, and strategic decision — including the option not to adopt AI widely.
It focuses on:
- Protection before productivity
- Governance before scaling
- Strategic clarity before enthusiasm
We help you avoid both extremes:
- reckless adoption
- paralyzing avoidance
Instead you get a balanced, evidence-based, governance-first strategy.
Typical outcomes
- A clear company-wide AI stance
- Defined guardrails reducing legal/quality exposure
- Avoidance of unapproved shadow-AI usage
- Increased leadership confidence in managing risks
- Documented policies ready for HR, IT, and Legal approval
- Business continuity plans preventing AI dependency failures
One CIO summarized their outcome:
“We moved from hype-driven experimentation to controlled, compliant, strategic adoption.”
How it fits into the “From Prompts to Productivity” series
- Prompting Foundations with individual productivity
- Advanced Prompting and structured thinking
- Master Prompts & Automation with workflow enablement
- AI Strategy Decision Workshop — should we adopt AI, why, and how?
This final module completes the series by giving your organization a safe, strategic, defensible framework for enterprise AI usage
Practical details
- Duration: 3 hours (online via Zoom / Miro)
- Group size: up to 20 participants
- Format: highly interactive, including live practice, exercises and real-world examples
- Included materials: digital prompt library, step-by-step worksheet, and access to post-session resources
Registration
Join the workshop and start using AI for what really matters by creating value, not just generating text.
Reserve your seat at our Eventbrite registration site or schedule an in-house session for your team.
Frequently asked questions
- Do I need experience with ChatGPT or other AI tools? Not at all. We’ll guide you through each step, and everything is easy to follow.
- Will I get something tangible to take away? Yes. You’ll leave with an AI strategy tailored to your business needs.
- Is this workshop just theory? No, it’s 100 % practical. You’ll work on real examples from your own tasks.
- Can I attend without joining the other workshops? Absolutely. This session works perfectly on its own. If you love it, you can continue the journey later.
Final thought
AI is a powerful tool. In both positive and negative ways. Determine the right balance of chances and risks for you and your enterprise and then decide: Go or no-go? And if yes, how?
