You will get a fast AI prototype for automating your emails and documents

Dmitry G.Status: Offline
Dmitry G. Dmitry G.
4.9
Top Rated

Let a pro handle the details

Buy Machine Learning services from Dmitry, priced and ready to go.
Dmitry G.Status: Offline
Dmitry G. Dmitry G.
4.9
Top Rated

Let a pro handle the details

Buy Machine Learning services from Dmitry, priced and ready to go.

Project details

Test how well your historical emails or documents can be automatically processed — without investing in a full-scale system. This service provides a quick, low-cost MVP, proof-of-concept, or prototype to validate AI automation for your workflows. Save up to 160 hours compared to developing a project from the ground up.

You send us historical data — emails, documents, invoices — and we choose the best AI model based on our AI benchmarks. The AI extracts key information, prepares structured outputs, and even estimates costs based on historical patterns.

What you’ll get:
— A fast, working prototype or proof-of-concept for your document and email automation
— AI model selection optimized for your data type, guided by benchmark results
— Clean, structured output ready for integration into your workflow
— Quick turnaround and low setup costs
— Full data security and confidentiality

Perfect for:
— Businesses wanting to validate AI automation for emails, quotations, or order processing
— Teams exploring cost estimation or data extraction from historical documents
— Companies testing workflow automation before investing in a full system
Machine Learning Tools
ChatGPT, GPT-3, OpenCV, TensorFlow

What's included $900

These options are included with the project scope.

$900
  • Delivery Time 7 days
  • Number of Revisions 2
    • Model Validation/Testing
4.9
5 reviews
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TK

Timothy K.
5.00
Dec 9, 2025
ML Quotation Automation Solution The team at Businessware Technologies is superb. They expertly navigated our requirements, providing excellent solutions and clever workarounds for a highly customized AI project. Their talent and problem-solving approach are first-rate.

For anyone looking to implement tailored AI solutions for their business processes, I strongly recommend hitting up Businessware Technologies for a discussion. They deliver great results with a professional, collaborative team.

TB

Taylor B.
4.70
Sep 10, 2025
MediaPipe Pose Estimation All of the team that supported us with this project were extremely knowledgeable and talented. There were a number of obstacles to overcome and the scope was adjusted accordingly on several occasions, without complaint from any of the developers involved. We will test this iteration of the model and very likely seek to contract again for further development in the near future! Rest assured that this team understand their craft exceptionally well.

BA

Bpb A.
5.00
Feb 4, 2025
Document Processing and Data Management Project

RB

Roger B.
4.85
Mar 26, 2024
AI project to extract information from scheduling orders We worked together on a project to extract and summarize information from a variety of Word documents and provide the results in a common JSON format. The work met our expectations and was well documented. Overall a great experience.

JS

John S.
5.00
Nov 3, 2023
.NET Developer for MDM-System Integration Dmitry is an outstanding expert with valuable expertise in constructing MDM systems, which proved to be extremely beneficial for our project. The consultation yielded highly productive results. I recommend his services!
Dmitry G.Status: Offline

About Dmitry

Dmitry G.Status: Offline
AI Automation & AI Agent Developer | Data Extraction, OCR, RAG, APIs
100% Job Success
4.9  (5 reviews)
Dubai, United Arab Emirates - 5:21 pm local time
I help businesses build practical AI automation systems: AI agents, data extraction pipelines, document workflows, and LLM integrations that connect to real business tools.

I work as part of the Businessware Technologies team, with a focus on AI-based data extraction, AI agents, workflow automation, and business process pipelines. Most of my work is not about isolated AI demos. It is about connecting AI models, scripts, APIs, databases, spreadsheets, CRMs, ERPs, document stores, and internal tools into workflows that save time, reduce manual work, and give teams cleaner structured data.

My main specialization is AI automation for real business operations: extracting data from PDFs, invoices, forms, emails, resumes, price lists, scheduling orders, proposals, and other semi-structured documents; validating and normalizing the extracted data; building human-in-the-loop review flows; and connecting AI outputs to Excel, Google Sheets, SharePoint, internal databases, APIs, CRMs, ERPs, n8n workflows, and other business systems.

I have worked on projects involving AI quotation automation for maritime supply operations, n8n-based business process automation, document processing and data management, scheduling order extraction, resume sourcing, price-change automation, AI output formatting, RAG/vector search, and computer vision / pose estimation. This gives me a practical view of where AI is useful, where it needs validation, and how to build workflows that business users can actually rely on.

Typical work includes:

* AI agents and LLM-based workflow automation
* AI data extraction from PDFs, emails, spreadsheets, and business documents
* OCR / document processing / IDP pipelines
* RAG, vector search, and internal knowledge workflows
* n8n automation and API integrations
* Python backend scripts and data processing tools
* Human-in-the-loop review dashboards and validation flows
* Structured outputs in Excel, CSV, JSON, databases, PDF, PPT, or APIs
* Integration with CRMs, ERPs, SharePoint, Google Drive, internal systems, and cloud services

The stack depends on the task, but often includes Python, FastAPI, OpenAI, Gemini, Claude, LangChain, vector databases, OCR tools, Azure AI services, Google Document AI, AWS Textract, n8n, REST APIs, Excel automation, and cloud deployment.

I value clear scope, transparent communication, and practical delivery. Before building, I try to understand the business process, the source documents, the edge cases, the users, and the expected output. This helps avoid fragile prototypes and deliver automation that fits the real workflow.

Steps for completing your project

After purchasing the project, send requirements so Dmitry can start the project.

Delivery time starts when Dmitry receives requirements from you.

Dmitry works on your project following the steps below.

Revisions may occur after the delivery date.

Project discussion call

Model Training On Your Documents

We extract data from your emails and documents and train the most suitable AI model

Review the work, release payment, and leave feedback to Dmitry.