Expertise
Data quality, AI and automation in service of business processes
Adygital helps SMEs and organisations make their data reliable, automate their processes and move forward with useful, realistic AI solutions adapted to their means.
Ady Gueye
Founder of Adygital
Key certifications
- Google Prompting Essentials
- Modernizing Data Lakes, Google Cloud
- ISTQB Advanced Level Test Manager
- Mailchimp Foundations & Automations
I support organisations in making their data reliable, modernising their tools, automating their processes and adopting useful AI solutions.
My background spans CRM migration projects, data modernisation, end-to-end testing, backend acceptance testing, digital platform overhauls and AI solution integration. This experience lets me approach AI and automation projects with particular attention to data quality, business rules, tool integrations and the reliability of the outputs produced.
- SQL profiling
- quality controls
- source / target reconciliation
- data regression testing
- pipeline validation
- rules documentation
- data engineering
- data quality
- data warehouse
- reporting
- dashboards
- business KPIs
- AI use cases
- business assistants
- AI agents
- LLM integration
- prompt engineering
- AI training
- n8n workflows
- task automation
- tool integration
- alerts
- automated reporting
- review management
- customer relations
- support
- Zendesk
- Salesforce
- service quality
- test strategy
- business acceptance testing
- tool migration
- agile delivery
- Jira
- Azure DevOps
A pragmatic approach, not technology for its own sake
The approach always starts from the business need: what takes time, what blocks progress, what repeats, what lacks visibility or reliability. From there, we choose the right combination together: diagnostic, data controls, automation, AI assistant, dashboard, prototype or training.