Complex gaps. Practical systems.
Some work is anonymized or still evolving. These examples show the kinds of operational and product problems FLO is actively solving — not a complete portfolio.
Operational Data Bridge
Anonymized client engagementIn productionA serverless integration synchronizes customer and transaction data across payment processing, customer data, and email marketing platforms.
- Integration
- Serverless
- Automation
- +1
AI Workflow Agent
Anonymized client engagementActive developmentAn agent workflow in active development collects public data, evaluates relevance, and routes findings toward CRM and operational reporting systems.
- AI Agents
- Public Data
- Workflow Automation
- +1
Search and AI Visibility
Anonymized client engagementOngoing supportClearer company, service, and service-area content plus structured data and machine-readable page structure help search engines and AI systems interpret the business more accurately.
- Technical SEO
- Structured Data
- AI Visibility
- +1
Custom Operational Application
Anonymized client engagementOngoing supportA purpose-built operational platform for business owners, operational staff, and customer-facing team members at a service-based business.
- Custom Software
- Product UX
- Hosting
- +1
Operational Data Bridge
A serverless integration synchronizes customer and transaction data across payment processing, customer data, and email marketing platforms.
Gap
Data was fragmented across systems and required repeated manual movement or reconciliation.
Approach
Design a maintainable integration layer rather than adding more manual steps.
Outcome
Reduced manual movement of customer and transaction information between business systems while creating a reusable foundation for future automation.
- Integration
- Serverless
- Automation
- Monitoring
AI Workflow Agent
An agent workflow in active development collects public data, evaluates relevance, and routes findings toward CRM and operational reporting systems.
Gap
Manual monitoring was time-consuming and inconsistent.
Approach
Map the workflow, define decision criteria, and build a proof of concept before broader automation.
Outcome
Designed to reduce repetitive public-data monitoring and surface higher-value findings for human review.
- AI Agents
- Public Data
- Workflow Automation
- Integration
Search and AI Visibility
Clearer company, service, and service-area content plus structured data and machine-readable page structure help search engines and AI systems interpret the business more accurately.
Gap
Search engines and AI systems had incomplete or ambiguous signals about what the company does and who it serves.
Approach
Audit the site using Google Search Console, structured-data validation, sitemap inspection, and performance auditing — then prioritize content clarity, schema, technical SEO, and machine-readable structure.
Outcome
Established or validated ownership in Google Search Console, reviewed indexing coverage, and improved page discoverability — without relying on traffic, ranking, impression, or click claims.
- Technical SEO
- Structured Data
- AI Visibility
- Content Architecture
Custom Operational Application
A purpose-built operational platform for business owners, operational staff, and customer-facing team members at a service-based business.
Gap
The process lacked a unified, maintainable system.
Approach
Understand the operating workflow and create a focused application around real users.
Outcome
Consolidated fragmented workflows into a purpose-built application and established a clearer path for ongoing improvement.
- Custom Software
- Product UX
- Hosting
- Support
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You do not need a polished specification. We will help determine the right software, integration, or next technical step — starting with a free initial conversation.