Selected outcomes across applied AI, enterprise delivery, and regulated platforms

Verified engagements led by Emilio Bogantes. Some clients are described anonymously under NDA. Figures are approximate where noted.
Construction materials and logisticsQuerétaro, MexicoNDA

Applied AI for construction materials and logistics

An AI operation that captured after-hours demand, extended customer-service capacity, and optimized delivery routing.

Challenge
Leads were missed outside business hours, customer-service capacity was insufficient, and delivery routes were inefficient.
My role
Architecture, team leadership, implementation oversight, and hands-on contribution throughout delivery.
Architecture
  • Zoho
  • Dify
  • Langfuse
  • PostgreSQL
  • Google services
  • WhatsApp
  • LLM providers
Scale
  • 10 internal users
  • ~2,500–5,000 external users
Outcome
  • Avoided hiring approximately three to four additional people
  • Sales increased approximately 20%
  • Route costs decreased approximately 30%

Client described anonymously under NDA.

Logistics operationsHeredia, Costa RicaNDA

AI-enabled logistics operations

An AI layer over logistics operations that recovered missed leads and increased qualified opportunities at scale.

Challenge
Missed leads and operational workload limited the volume of qualified opportunities the team could pursue.
My role
Architecture, team leadership, delivery oversight, and hands-on implementation.
Architecture
  • Odoo
  • Dify
  • Langfuse
  • PostgreSQL
  • Google services
  • WhatsApp
Scale
  • 15 internal users
  • ~30,000–35,000 external users
Outcome
  • Sales increased approximately 15%

Client described anonymously under NDA.

Technology holdingsHeredia, Costa Rica

Internal AI operations at Pangea Holdings

Internal AI operations that reduced manual workload and lifted sales across the organization.

Challenge
Internal operations carried manual workload that constrained responsiveness and commercial output.
My role
Architecture, team leadership, implementation oversight, and hands-on contribution.
Architecture
  • Jira
  • Dify
  • Langfuse
  • PostgreSQL
  • Google services
  • WhatsApp
Scale
  • 5 internal users
  • ~2,000–2,500 external audience
Outcome
  • Sales increased approximately 10%
United States insuranceUnited StatesNDA

AI-assisted enterprise content migration

AI-assisted migration of enterprise content from WordPress to Contentful across 15 websites.

Challenge
Content had to be migrated from WordPress to Contentful across 15 production websites without disrupting large daily audiences.
My role
Full architecture and implementation ownership.
Architecture
  • Parallel Claude and OpenAI workflows
  • Node.js and CLI scripts
  • AI-assisted planning, content structures, and validation
Scale
  • 15 websites
  • ~25 internal users
  • ~35,000 daily users per website
Outcome
  • Migrated 15 sites in approximately three to four days, including scripting and AI plus human validation

Client described anonymously under NDA.

Regulated SaaS (medical-device manufacturers)United States, remote-first

Regulated SaaS transformation

A full platform reconstruction for a regulated SaaS serving medical-device manufacturers, with distributed delivery and disciplined vendor governance.

Challenge
A regulated SaaS platform required full reconstruction while improving delivery speed, cost, and operational reliability.
My role
Director of Engineering: architecture, team, and operating model from concept to production.
Architecture
  • Cloud-native platform reconstruction
  • Delivery automation and operational tooling
  • MSA, SOW, and T&M vendor governance
Scale
  • Distributed, remote-first engineering organization
  • Engineering organization grew by 50%
Outcome
  • Delivery cycle reduced from four weeks to one
  • Cloud infrastructure cost reduced by 80%
  • Approximately 80% of manual operations automated
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