AI AGENT INTEGRATION / BUSINESS WORKFLOWS

Less chasing.
More getting
things done.

I connect your business tools and build AI agents that help move administrative work from incoming request to completed task.

Intake, documents, scheduling, follow-ups, and reporting—with clear approvals, useful records, and a way to handle exceptions.

Eric Covert
Eric CovertSystems integration · Los Angeles, CA
THE WHOLE WORKFLOW

Your team should know what the agent handles, what needs approval, and what happens when something goes wrong. That is part of the integration.

01 / WHAT I HELP YOU CONNECT

Administrative work,
built into a system.

Start with the process that creates the most copying, checking, and chasing. I design the integration around your tools and the way your team actually works.

01

Inbox & request intake

Classify incoming requests, extract useful details, route work to an owner, and prepare responses for review.

EMAIL · FORMS · TASK QUEUES
02

Documents & records

Turn documents into structured information. Validate fields, flag missing details, and prepare updates to the right records.

DOCUMENTS · SPREADSHEETS · DATABASES
03

Scheduling & follow-through

Connect availability, reminders, task assignments, and follow-ups so the next action has a clear owner.

CALENDARS · REMINDERS · HANDOFFS
04

Reporting & coordination

Gather status information, surface exceptions, and prepare recurring summaries that people can review and use.

STATUS UPDATES · SUMMARIES · EXCEPTIONS

Integrations depend on your systems’ supported APIs, available access, and agreed scope. Tool selection is part of discovery.

02 / SEE THE WORKFLOW

Give the agent a job.
Give the team control.

Explore three examples of how an administrative workflow can be structured.

ILLUSTRATIVE INPUT

“We need an appointment next Tuesday. Please have someone follow up.”

Fictional example · no accounts are connected on this page
AGENT PROCESSING

Create a usable intake record

Extract the request, identify the available customer details, and check whether the service, location, and timezone are known.

HUMAN CHECKPOINT

Resolve missing information

Route incomplete requests for clarification. Let the responsible person approve the proposed response or next action.

AGREED NEXT ACTION

Move the request forward

Create or update a task in the connected system, prepare a follow-up, and retain the request’s status and owner.

03 / COMPLETE INTEGRATION

From process map
to a usable handoff.

I handle the connections and operating details that make the workflow useful to the people who depend on it.

  1. 01 / DISCOVER

    Map the actual work

    Identify the trigger, data sources, decisions, owners, and expected result. Agree on a bounded first implementation.

  2. 02 / INTEGRATE

    Connect tools & agents

    Build the API connections and workflow logic. Define tool permissions, approval points, and exception paths.

  3. 03 / VALIDATE

    Test the awkward cases

    Check representative inputs, incomplete records, failed API calls, and handoffs against agreed acceptance criteria.

  4. 04 / HAND OVER

    Deploy & explain

    Deploy in the agreed environment with setup notes, logs, operating instructions, and a defined support scope.

What a scoped engagement can include

Workflow map / Agent and tool configuration / API connections / Approval and exception handling / Validation results / Deployment and handoff notes

04 / ENGINEERING BEHIND THE OFFER

Built on practical
integration work.

Selected independent projects demonstrate the scheduling, data handling, API integration, and troubleshooting that support my approach.

AI WORKFLOWS / INDEPENDENT RESEARCH

Gold Oracle

Recurring tasks with a visible operating history.

Scheduled research tasks, configurable model providers, structured outputs, fallback behavior, and task histories.

What this work demonstrates

Work includes requirements, integration decisions, configuration diagnosis, debugging, and validation through AI-assisted development.

PythonModel APIsScheduling
API INTEGRATION / IN DEVELOPMENT

AliFrog

Multiple sources, one inspectable workflow.

A mobile/API product-research application connecting supplier and marketplace evidence with explicit cost assumptions.

What this work demonstrates

Product requirements, integration, real-input review, and investigation of evidence-retention and shipping-origin issues. FastAPI, Expo/React Native, Supabase Auth, and SQLite.

FastAPIData integrationValidation
DATA INFRASTRUCTURE / INDEPENDENT RESEARCH

Coffee Bot

Keep the evidence behind the result.

Event collection, timestamp integrity, archival storage, recovery, and reconstruction of what information was available.

What this work demonstrates

Research requirements, cross-machine storage roles, failure investigation, and validation of provenance and recovery behavior through AI-assisted development.

PythonSQLiteIntegrity & replay
Eric Covert wearing glasses and a navy polo shirtERIC COVERT / LOS ANGELES

05 / THE PERSON DOING THE WORK

A systems background.
A practical approach.

I combine industrial systems integration, software and API work, and hands-on troubleshooting. My manufacturing experience includes measurement-device integration with WinSPC, operational support, and user training.

That background shapes how I approach AI integration: understand the process, define the boundaries, investigate failures, and give people a system they can use.

My independent software projects use AI-assisted development. My work centers on requirements, integration decisions, debugging, and validation.

06 / VERIFIED LEARNING

IBM SkillsBuild
digital credentials.

Awarded in August 2026. Each credential links directly to its public issuer record.

07 / START WITH ONE WORKFLOW

What keeps your team
copying, checking,
and chasing?

Tell me what starts the process, which tools your team uses, where it gets stuck, and what a completed task should look like.

We can define the workflow, identify the integration requirements, and agree on a useful first implementation.