AI Deploy Network
Brylle Rodis

Brylle Rodis

Verified

AI Automation & Systems Integration Specialist | E-commerce Operations & Revenue Recovery · Workflow Automation

PhilippinesSenior

Available for Projects Available for Fractional Roles Available for Full-Time Roles
Published Evidence
4
AI Deployments
2
AI Case Studies
verified Builder

Measured business impact

Outcomes reported against approved AI implementations, presented for executive review.

Hours Automated
1,400 hours

Operational hours recovered through verified AI deployments.

Cost Savings
USD 35,500

Verified operating cost reductions delivered for client organisations.

Revenue Impact
USD 362,000

Revenue created or protected through deployed AI solutions.

AI Deployments
4

Implementations reviewed and approved against the Evidence Standard.

Published Case Studies
2

Documented implementations with published business outcomes.

VerifiedOrganisation Trust SignalsHow this is verified
  • VerificationVerified
  • SpecialisationWorkflow Automation
  • AI Deployments4
  • AI Case Studies2
  • Industries Served5
  • LocationPhilippines
How this is verifiedWhat the platform has established, and what remains builder-declared.
Identity and organisation
Identity checks confirm that the person presenting this profile controls the account and the professional identifiers attached to it, such as a LinkedIn profile. Organisation membership is confirmed by the organisation, not self-declared by the builder.
AI Deployments
An approved AI Deployment is an implementation record the builder submitted and the platform reviewed against the Evidence Standard before publication. Approval confirms the record is complete, coherent and consistent with the supporting material provided — it is not an audit of the client's systems.
Business outcomes
Outcome figures are recorded by the builder on the deployment or case study that produced them, and are reviewed at publication. Aggregates shown on this profile are calculated from those approved records only.
Evidence
Supporting evidence comes from the records the builder published on this platform: approved AI Deployments, published AI Case Studies, verification outcomes and organisation participation.
Currency
Older evidence continues to count and is never removed. Recency is presented separately through Professional Currency so that current expertise can be assessed alongside historical work.
Traceability
Every figure on this profile can be followed to the record that produced it. Open the linked AI Deployment or AI Case Study to read the outcome exactly as it was reported.

The platform does not independently audit client systems or financial records. How this is verified

Top business outcomes

Reported by the builder on the record that produced them, in the original reporting period. Nothing is annualised or converted.

  • Hours Automated1,400 hours

    period not specified

    Automated 1,400 hours (period not specified)

  • Cost SavingsUSD 35,500

    period not specified

    Reduced operating costs by USD 35,500 (period not specified)

  • Revenue ImpactUSD 362,000

    period not specified

    Generated USD 362,000 additional revenue (period not specified)

Builder-reported outcomes, recorded on deployment and case study records that AI Deploy Network reviewed before publication. AI Deploy Network does not currently capture a measurement basis or calculation methodology for reported outcomes, so none is shown.

Business Outcome Highlights

Measured outcomes taken from published AI Case Studies, shown with the reporting period the builder stated. Each figure links to its case study.

Capabilities: declared and demonstrated

17 of 20 listed capabilities are supported by an approved deployment or published case study on this platform. The rest are Builder-declared and are not presented as verified.

Implementation capability

  • Workflow Automation3
  • AI Agent3
  • Business Intelligence1
  • Conversational AI2
  • Customer Service Automation2
  • Customer Support Agent3
  • Data Extraction2
  • Document Processing1
  • Multi-Agent Systems2
  • Sales Agent1

Technologies

  • GPT-51
  • Lovable2
  • Microsoft 365 Copilot3
  • Zapier6
  • n8n

Industries

  • E-Commerce4
  • Logistics & Transportation
  • Supply Chain
  • Retail1
  • Accounting & Audit1

AI Deployments (4)

Technical implementation records: what was built, the technologies used and the scope delivered. Each was reviewed before publication.

AI AgentCustomer Support AgentSales AgentRetail

Conversational AI Lead Qualification & Booking Agent

A conversational AI agent deployed across social channels to instantly respond to inbound client inquiries, qualify leads based on budget and availability, and autonomously schedule consultations.

250
Hours
USD 12K
Revenue
Brylle RodisBy Brylle Rodis
Business IntelligenceDocument ProcessingWorkflow AutomationAccounting & Audit

AI-Driven Invoice Reconciliation & Accounts Payable Automation

An AI document processing workflow that extracts line-item data from vendor invoices, cross-references it with purchase orders, and flags financial discrepancies before processing payments.

100
Hours
USD 8.5K
Cost savings
Brylle RodisBy Brylle Rodis
Conversational AICustomer Service AutomationCustomer Support AgentE-Commerce

Rapid Deployment of Custom E-commerce Operations Dashboard via Lovable.dev

Utilized Lovable.dev's AI capabilities to autonomously code and deploy a custom internal operations web application. Integrated fragmented data streams (e-commerce sales, courier APIs, and financial ledgers) into a single, centralized dashboard to solve severe operational visibility issues.

450
Hours
USD 15K
Cost savings
Brylle RodisBy Brylle Rodis
AI AgentData ExtractionWorkflow AutomationE-Commerce

Autonomous Courier Claims & Financial Dispute Agent

An end-to-end AI workflow that automatically audits courier invoices (e.g., FedEx), identifies overcharges, and autonomously files damage or lost item claims to recover lost revenue for e-commerce operations.

600
Hours
USD 12K
Cost savings
USD 350K
Revenue
Brylle RodisBy Brylle Rodis

About

I am an AI Systems Integration Specialist who builds automated workflows designed to recover revenue and scale operations. With a BS in Accountancy and deep experience managing high-volume e-commerce claims, my approach is strictly "business-first"—bridging the gap between rigid financial discipline and technical agility.

I specialize in transforming fragmented operational data into unified, automated ecosystems. Whether leveraging Zapier to build autonomous dispute resolution engines or utilizing rapid-development platforms like Lovable to deploy custom internal dashboards, my goal is to eliminate manual bottlenecks and maximize ROI.

My recent deployments include engineering an autonomous courier claims agent that successfully recovered $350,000 USD in lost revenue, and executing a custom operations web application that reduced software deployment time by over 80%. I do not just deploy novel technology; I build systems that directly impact the bottom line.

Ready to discuss your AI implementation?

Tell Brylle Rodis what you are trying to automate and the outcome you need. Your message goes directly to the builder, with a copy kept in your Organisation Workspace.