You will get an AI automation workflow audit and implementation plan
Rising Talent
Project details
If you know a business process is too manual, slow, or repetitive but are not sure what should be automated, this project gives you a clear plan before you spend money building it.
I will review your current workflow, identify where AI or automation can add value, separate AI decisions from rule-based logic, and design the recommended future-state workflow.
Depending on the package, you may receive:
• Current-state workflow map
• Automation opportunity analysis
• AI vs. business-rules recommendations
• Recommended architecture
• API and integration requirements
• Human approval and exception-handling points
• Implementation phases and estimated build scope
This is not a generic AI strategy report. The goal is to give you a practical blueprint that can be implemented.
I build production AI systems and use the same architecture principles when reviewing your workflow.
This project covers audit, design, and planning. Development and deployment are not included, but I can quote the implementation separately after the audit.
I will review your current workflow, identify where AI or automation can add value, separate AI decisions from rule-based logic, and design the recommended future-state workflow.
Depending on the package, you may receive:
• Current-state workflow map
• Automation opportunity analysis
• AI vs. business-rules recommendations
• Recommended architecture
• API and integration requirements
• Human approval and exception-handling points
• Implementation phases and estimated build scope
This is not a generic AI strategy report. The goal is to give you a practical blueprint that can be implemented.
I build production AI systems and use the same architecture principles when reviewing your workflow.
This project covers audit, design, and planning. Development and deployment are not included, but I can quote the implementation separately after the audit.
AI Algorithms
Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Regression Analysis, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI-Enhanced Classification, AI-Generated Code, Anomaly Detection, Conversational AI, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Sequence Modeling, Synthetic Data GenerationAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, Microsoft 365 Copilot, Microsoft CNTK, NVIDIA AI Platform, PyTorch, Streamlit, TensorFlow, Word2vecAI Models
AlphaCode, BERT, ChatGPT, DALL-E, GPT-J, LaMDA, LLaMA, Midjourney AI, Naive Bayes Classifier, OpenAI Codex, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$149
|
Standard
$299
|
Advanced
$499
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 1 | 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 Sachin
AI Automation & AI Agent Developer | Python, React, Langchain, n8n
Fishers, United States - 4:42 pm local time
I build production AI agents and workflows that connect email, CRMs, calendars, databases, APIs, documents, and internal tools.
I also helped build Dapto Frontdesk, a production AI system that handles website and email inquiries, answers from business knowledge, qualifies leads, books meetings, routes requests, creates support handoffs, and triggers actions in connected systems.
I can help you build:
• AI agents that use OpenAI, Claude, Gemini or other LLMs
• AI workflow and business-process automation
• Email and inbox triage, classification and response workflows
• Lead qualification, routing and CRM automation
• AI customer-support and knowledge assistants
• RAG systems using your documents and business data
• API and webhook integrations between business systems
• Python/FastAPI automation when no-code tools are not enough
• Existing AI workflows that need debugging, reliability or better architecture
• Human-in-the-loop workflows for processes where AI should not act alone
Production matters.
An automation is only useful if it keeps working after the demo.
I design around:
• retries and error handling
• logging and monitoring
• structured outputs
• API limitations
• security and permissions
• AI guardrails
• human approval where needed
• maintainable architecture
• documentation and handoff
My background includes more than 20 years across software, data architecture, cloud platforms and enterprise systems. That means I can work beyond the AI prompt itself and solve the surrounding integration, backend, data and deployment problems too.
Technologies
Python | FastAPI | REST APIs | Webhooks | OpenAI | Claude | Gemini | LangChain | RAG | PostgreSQL | BigQuery | AWS | Azure | GCP | React | Next.js
If you already know what you want to automate, send me the workflow and the systems involved.
If you're not sure how it should be built, I can help map the process first and recommend the simplest architecture that will reliably do the job.
Steps for completing your project
After purchasing the project, send requirements so Sachin can start the project.
Delivery time starts when Sachin receives requirements from you.
Sachin works on your project following the steps below.
Revisions may occur after the delivery date.
Review Your Current Workflow
I review your process, systems, bottlenecks, manual steps, business rules, and desired outcome to understand how the workflow operates today.
Identify AI & Automation Opportunities
I identify what can be automated, where AI adds value, what should remain rule-based, and where human approval or exception handling is needed.