About
MaySource.AI is a consultancy specialized in customer journey and experience that connects strategy, processes, people and technology into a structured, measurable operation.
MaySource.AI was born from the hands-on experience of Mayra Saes in Customer Experience and customer journey. It did not start from a tool, but from the observation that companies invest in technology before understanding how the customer actually moves through the operation.
We are not a software company nor a tool reseller. We are journey specialists. Technology comes after the diagnosis, and only where it makes sense for the business.
We work on the journey end to end: acquisition, first contact, service, commercial handling, post-sale and relationship. We look at channels, processes, team, data and at the experience lived by the customer at every touchpoint.
More than 13 years of work in Customer Experience and customer journey, with hands-on background in service, relationship and commercial structuring operations. That experience is the origin of the methodology the company applies.
Our proprietary methodology organizes the work into five stages — Understand, Structure, Connect, Apply Intelligence and Evolve. It turns the diagnosis into a connected, intelligent and continuously evolving operation.
CRM, automations and integrations are means. They gain value when applied over a well-designed journey, with clear processes and defined responsibilities.
We use artificial intelligence where it expands the capacity of the operation: first response, qualification, team support, conversation analysis and personalization. Always with human supervision and rules defined by the company.
We are innovative without chasing trends, provocative with elegance, expert without jargon, and human in every decision about technology.
We serve companies in Brazil and in the United States, with the possibility of serving companies in other countries.
Expertise defines the journey. Methodology structures the path. Technology makes it possible. Intelligence amplifies it. Data allows measurement. Continuous evolution improves the results.
