Available for operations & automation opportunities

I build workflow systems that remove repetitive admin.

I combine administrative operations thinking with AI automation to design practical systems for request handling, scheduling, follow-up, data synchronization, alerts, and reporting.

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Focus AI Automation

Domain Administrative Operations

Location Philippines · GMT+8

Built around real operational workflows AI-assisted, not AI-decorated Designed for traceable handoffs Tested end-to-end

01 · Selected work

Systems built around business operations.

The work is presented as an operating system, not a collection of disconnected nodes: problem, logic, integrations, and proof of output.

Featured AI Automation · Administrative Operations

AI Administrative Operations Automation

A connected three-workflow system that receives administrative requests, classifies and prioritizes them with AI, routes scheduling requests into Google Calendar, synchronizes RSVP status back to Google Sheets, and sends a daily HTML operations brief.

Problem

Request intake, prioritization, scheduling, follow-up, and reporting required repeated manual checks across multiple tools.

Solution

n8n orchestrates AI classification, priority routing, Sheets logging, Calendar events, RSVP monitoring, and Gmail reporting.

Low / Medium / High / Urgent request routing
Automated Google Calendar scheduling
RSVP → tracker status synchronization
Daily attention filtering and overdue detection
AI-generated structured HTML operations brief
Sanitized public workflow templates and technical documentation

Full project documentation View Full Case Study

Workflow 01 AI request management & routing

02 AI Support Operations

AI Customer Support Triage System

An n8n support workflow that uses an LLM to structure inbound requests, classify intent and urgency, and route the right operational follow-up.

n8n LLM Structured Output Routing

03 Lead Operations

AI Lead Qualification & Contact Automation

A production contact-form workflow that captures submissions via webhook, qualifies intent with AI, separates lead quality in Google Sheets, and sends Gmail notifications.

n8n Webhook AI Classification Google Sheets Gmail

02 · Capabilities

Automation that follows the process.

The goal is not to automate everything. It is to find the repeatable handoffs where people lose time and build reliable systems around them.

Request triage & routing

Convert unstructured requests into structured, prioritized, actionable work with AI-assisted classification and branching logic.

INPUT → CLASSIFY → ROUTE → LOG

Scheduling & follow-up

Create meetings, invite attendees, monitor response changes, and synchronize status back into operational trackers.

REQUEST → CALENDAR → RSVP → SYNC

Alerts & operational reporting

Surface high-impact work automatically and transform live operational data into concise, readable summaries.

FILTER → PRIORITIZE → SUMMARIZE → SEND

Workflow orchestration

Connect forms, inboxes, spreadsheets, calendars, APIs, and business tools into one traceable workflow.

SYSTEM A ↔ AUTOMATION ↔ SYSTEM B

03 · Stack

Tools chosen for the job.

Core project tools are separated from the wider ecosystem so the portfolio stays credible and clear about what is already demonstrated.

Technology Use Position

n8n Workflow orchestration, triggers, branching, integrations Core

Custom Webhooks Request intake and system-to-system event handoff Core

LLM APIs Classification, extraction, structured output, report generation Core

Google Workspace Sheets tracking, Calendar scheduling, Gmail notifications Core

Make.com / Zapier Alternative workflow orchestration ecosystems Ecosystem

OpenAI API / Anthropic Claude Alternative LLM providers and model integrations Ecosystem

LangChain Agentic and multi-step LLM application patterns Expanding

Pinecone / VectorDB Semantic retrieval and contextual data layer Expanding

Supabase Structured application data and backend services Expanding

04 · About

Operations first.
Automation with context.

My background is in administrative operations and loan management, where the work depends on clear handoffs, deadlines, documentation, follow-up, and accurate tracking.

I’m applying that operational perspective to AI automation. Instead of treating automation as a collection of flashy integrations, I focus on how information should move through a real process — what needs to be classified, what needs human attention, what can run automatically, and what must remain visible.

01Automate the bottleneck, not the trend.

02Structured data before “smart” data.

03Systems handle repetition. People handle exceptions.

04If the workflow cannot be explained, it is not finished.

05 · Workflow approach

Make the process clear before making it automatic.

Map the manual process

Identify inputs, decisions, repeated handoffs, delays, and points where information gets lost.

Structure the data

Define the fields, statuses, IDs, and conditions the workflow needs to operate reliably.

Automate repeatable logic

Use triggers, routing, APIs, and AI only where they make the process faster and more consistent.

Test the full lifecycle

Validate normal cases, edge cases, status changes, and the final output before calling the system finished.

06 · Contact

Have a process that should not be manual?

I’m open to administrative operations roles, automation projects, and conversations where process improvement and technical execution overlap.

Email iamkarl26@gmail.com ↗ GitHub github.com/kmhmercado ↗

Project inquiry

Tell me what you want to improve.

Share the process, bottleneck, or workflow you have in mind. The form is already structured for the n8n automation we’ll connect next.

Form n8n AI triage Route + notify

Name

What do you need help with?

Tell me about the process or problem

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