AI Opportunity Scan
Initial analysis to identify priority processes and evaluate value, feasibility, data, risks and quick wins.
OutputOpportunity map, priorities and first use case.
/ 001From idea to implementation
Transform a
critical process
into a
competitive advantage.
I help SMEs move from idea to implementation, combining Artificial Intelligence, automation and digital innovation. A single point of contact to coordinate strategy, processes, people, data and technology.
01Business before technology
02One process at a time
03Measurable results
04Responsible implementation
/ 002The problem
AI only creates value when
it is truly integrated into processes.
Recurring symptoms
- Still manual administrative activities
- Difficulty finding information and documents
- Non-standardised offers and reports
- Incomplete or outdated CRMs
- Underutilised company data
- Critical knowledge held by few people
- AI experimentation without governance
We start with how the company works, not with the software.
Operating principleNot a technical problem: a translation problem between business and technology. A point of contact who speaks both languages is needed.
How I solve it/ 003Value proposition
From opportunity
to operational solution.
Alessandro Marrarosa acts as lead advisor and single point of contact. His role is to take you from the problem to the result.
- 01Understanding the business problem
- 02Selecting the priority process
- 03Building the business case
- 04Defining requirements and success criteria
- 05Coordinating technical specialists
- 06Accompanying adoption
- 07Measuring results
Clients do not buy consultancy or technology. They buy the ability to move from a business problem to an implemented solution through a single point of contact.
/ 004Services
A progressive journey,
without open-ended or undefined projects.
AI Blueprint
Solution design before starting complex technical activities.
OutputProcess map, requirements, business case, backlog, roadmap.
Core service
AI Implementation Sprint
8-12 weeks to transform a priority process into an operational solution, measurable and used by employees.
OutputRedesigned process, working solution, documentation, training, KPIs.
Continuous Improvement
Monitoring, optimisation, periodic training and selection of subsequent use cases.
OutputKPI dashboard, evolutionary backlog, improvement plan.
/ 006Methodology
The five stages of the 5I Method.
A structured path to reduce uncertainty and take every project from idea to results.
- 01
Identify
Identify problems, opportunities, sponsors, data and success criteria.
- 02
Imagine
Designing the future process and the simplest solution capable of creating value.
- 03
Integrate
Connecting people, data, systems, roles, security and specialist skills.
- 04
Implement
Build, validate, deploy and train users.
- 05
Improve
Measure, optimise and select subsequent use cases.
Each phase includes verifiable deliverables and a decision point. The client always maintains control over investments, risks and project continuation.
/ 007Use cases
Three areas to start from.
Not rigid packages: the starting point is always the process and the business result. Each scenario is implemented with AI Implementation Sprint.
/ 01
Assistant for knowledge and documents
An AI assistant connected to the company's information assets. It assists those in the company struggling to find procedures, information and documents scattered across different systems: making access to knowledge faster and daily responses more consistent.
Faster search for procedures and information, document summaries, onboarding support, consistent responses.
/ 02
Sales automation
Automation of repetitive sales cycle activities. Addresses the problem of incomplete CRMs, non-standardised offers and forgotten follow-ups: the sales team spends more time with the customer and less on administrative tasks.
Lead qualification, preparation of offers, follow-up, CRM updates, sales team support.
/ 03
Reporting and decision support
Consolidation of company data into usable dashboards and reports. Addresses the difficulty of transforming scattered data into clear information: management gains a consistent basis for faster decision-making.
Data consolidation, dashboards, report preparation and management decision support.
/ 009About me
A single point of contact
from strategy to adoption.
ProfileCH · IT
Alessandro
Marrarosa
Marrarosa
Mentor, entrepreneur, author, speaker, advisor.
- Engages with entrepreneurs, management, operations, finance, marketing and IT
- Translates technical complexity into business decisions
- Combines strategy, processes, digitisation, AI and training
- Coordinates different specialists maintaining a single direction
- Builds solutions proportionate to budget, time and capacity of SMEs
- Operates in a Swiss and multilingual context
He combines experience in SME consultancy, process digitisation, marketing, sales, adult education and AI adoption. His role is to create a concrete link between business objectives and technological implementation.
/ FAQFrequently Asked Questions
Initial answers, in brief.
Five key questions to help you get started: who the services are for, what types of AI projects are covered, and how to begin.
→Next step
Which process currently
costs the most time to your company?
Describe the problem to me or book an initial consultation directly.