You will get a human-approved AI document processing prototype with an audit trail
Project details
AI should prepare the decision—not make it for you.
I will turn one document-driven process into a working prototype that receives sample files, extracts agreed fields, runs deterministic checks, routes exceptions to a human reviewer, tracks the case status, and records an audit event for every material step.
You will get:
• a runnable web prototype for one controlled workflow
• structured extraction and configurable checks
• a human review queue with approve, return, and reject actions
• status history and exportable audit events
• source code, sample test results, and setup/handover notes
I bring 15 years of enterprise and public-sector software delivery experience across role-based permissions, workflows, APIs, databases, deployment, troubleshooting, and maintenance. I use de-identified sample data and keep the prototype narrow enough to test safely before a production build.
This is a prototype—not an autonomous decision-maker, compliance certification, or production SLA.
I will turn one document-driven process into a working prototype that receives sample files, extracts agreed fields, runs deterministic checks, routes exceptions to a human reviewer, tracks the case status, and records an audit event for every material step.
You will get:
• a runnable web prototype for one controlled workflow
• structured extraction and configurable checks
• a human review queue with approve, return, and reject actions
• status history and exportable audit events
• source code, sample test results, and setup/handover notes
I bring 15 years of enterprise and public-sector software delivery experience across role-based permissions, workflows, APIs, databases, deployment, troubleshooting, and maintenance. I use de-identified sample data and keep the prototype narrow enough to test safely before a production build.
This is a prototype—not an autonomous decision-maker, compliance certification, or production SLA.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI-Enhanced Classification, Natural Language Understanding, Text RecognitionAI Development Language
PythonAI Models
ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$199
|
Standard
$499
|
Advanced
$999
|
|---|---|---|---|
| Delivery Time | 5 days | 8 days | 12 days |
Number of Revisions | 1 | 2 | 2 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | - | |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | |||
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | |||
Source Code |
Frequently asked questions
About Lielie
AI App & Systems Integration Engineer | APIs, Automation, DevOps
Changzhou, China - 6:48 am local time
If you need more than a chatbot demo, I can turn a repetitive business process into a working web application, automation, AI agent, or internal tool. I handle the full delivery process—from requirements and architecture to APIs, databases, deployment, testing, and ongoing support.
With 15+ years of software delivery experience, I have built and maintained enterprise and public-sector systems that require reliability, security, and long-term operation.
I can help you with:
- AI agents and workflow automation
- AI integration for existing web applications
- Internal tools, dashboards, and admin portals
- API, webhook, database, and third-party integrations
- Document processing, reporting, search, and knowledge systems
- Legacy system modernization, debugging, and on-premises deployment
My approach is practical: define the workflow and acceptance criteria, build a testable milestone, verify edge cases, and then make the system stable enough for daily use.
Send me your current workflow, files, or system requirements. I can help you identify the simplest reliable solution before development begins.
Steps for completing your project
After purchasing the project, send requirements so Lielie can start the project.
Delivery time starts when Lielie receives requirements from you.
Lielie works on your project following the steps below.
Revisions may occur after the delivery date.
Confirm the workflow and sample set
We confirm one document-driven process, the final human decision, the selected package limits, and the authorized sample files.
Define fields, checks, roles, states, and audit events
I translate the agreed process into an extraction schema, deterministic checks, review actions, case states, and an audit-event model.