The SME Market Challenge SMEs face three clear barriers: • Information overload and unrealistic expectations about AI • Solutions designed for enterprise companies, with prohibitive costs and complexity • Lack of criteria to decide where to start without wasting time or money Our Proposal A short, structured process designed to: • Provide real, up-to-date context on AI use in business • Detect concrete opportunities applicable to your company • Prioritize viable initiatives • Define a clear roadmap This program works as a strategic diagnosis, allowing you to identify opportunities to adopt AI pragmatically and sustainably.
5-Step Methodology
Step 1 – State of the Art of AI Applied to Business
Strategic overview presenting: • How real companies (especially SMEs) are using AI today • Practical trends (automation, agents, co-pilots, analytics, customer service, back-office) • What works, what doesn't scale, and what typically fails • Best practices and common adoption mistakes Objective: Align expectations and generate shared criteria for informed decision-making.
Step 2 – Guided Opportunity Discovery
Structured session to survey key business processes and detect: • Operational frictions • Repetitive or manual tasks • Bottlenecks • Clear opportunities for improvement with AI or automation Objective: Build an initial map of realistic opportunities, without entering technical design yet.
Step 3 – Use Case Prioritization
Joint evaluation of detected opportunities based on: • Expected business impact • Technical feasibility • Estimated implementation effort • ROI Objective: Select 2–5 priority cases with economic and operational sense.
Step 4 – Solution and Approach Recommendations
For each prioritized case, we define: • Recommended solution type (existing tools, AI agents, automations, integrations) • Complexity level • Suggested approach (quick win vs. structural initiative) Objective: Let the company know what to do, how to do it, and at what level of investment, without commitments.
Step 5 – Roadmap Definition and Next Stage
We deliver: • A high-level implementation roadmap • Clear alternatives to move forward (tools, existing solutions, custom development) • Estimated scope, without included technical execution Objective: Leave the path ready to decide the next step, with total clarity of scope, estimated budget, and effort.
Execution Format
• Duration: 2 to 3 weeks • Total hours with client: 7 to 9 hours • Modality: Remote • 5 structured meetings with defined objectives
Program Deliverables
State of the Art materials: Digital folder with presentations, key content, and full session recording
Executive summary of the process: Concise document with main learnings, conclusions, and agreed criteria
AI opportunity map: Document identifying opportunities detected in business processes
Prioritized cases with justification: List of selected use cases, ordered by impact and viability
Solution recommendations per case: Suggested approach for each prioritized case
Work roadmap with scope and budget: High-level roadmap detailing suggested stages to move forward
Expected Results
Team has clear and realistic understanding of AI potential and limitations
Internal alignment between technical and business areas on which problems are worth addressing with AI
Reduction of unrealistic expectations and focus on concrete, measurable use cases
Solid foundation to move forward in an orderly manner to the implementation stage
Knowledge of available technologies and existing tools
