You will get Enterprise AI Workflows with Approvals & Audit
Project details
You will work with an architect who specializes in deterministic AI systems for enterprise environments.
Most LLM projects stop at demos. This engagement focuses on production-grade orchestration and governance — ensuring that non-deterministic AI operates inside deterministic workflows.
I help teams design and harden:
• Human-in-the-loop approval gates
• Explicit propose vs commit boundaries
• Audit trails with explainable WHY codes
• Replay-safe event flows
• Policy-driven orchestration
• Clear failure isolation (DLQ / lane separation)
The goal is not just to “make AI work,” but to make it reviewable, accountable, and production-ready.
If you are deploying LLM-powered workflows in regulated, mission-critical, or high-impact systems, this engagement is built for you.
Most LLM projects stop at demos. This engagement focuses on production-grade orchestration and governance — ensuring that non-deterministic AI operates inside deterministic workflows.
I help teams design and harden:
• Human-in-the-loop approval gates
• Explicit propose vs commit boundaries
• Audit trails with explainable WHY codes
• Replay-safe event flows
• Policy-driven orchestration
• Clear failure isolation (DLQ / lane separation)
The goal is not just to “make AI work,” but to make it reviewable, accountable, and production-ready.
If you are deploying LLM-powered workflows in regulated, mission-critical, or high-impact systems, this engagement is built for you.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI-Generated Code, AIOps, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
JavaAI Tools
Azure OpenAI, Hugging Face, NVIDIA AI Platform, PyTorch, TensorFlowAI Models
BERT, ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$3,500
|
Standard
$7,500
|
Advanced
$9,500
|
|---|---|---|---|
| Delivery Time | 10 days | 21 days | 21 days |
Number of Revisions | 2 | 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 | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$750 - $1,500Frequently asked questions
About Sohil
Enterprise AI Workflow Engineer | Governance & Deterministic Systems
Austin, United States - 4:50 am local time
My focus is building AI-backed decision flows that integrate cleanly into existing systems — without introducing black-box risk.
With deep experience in distributed systems and event-driven architecture, I design workflows that are structured, traceable, and enterprise-ready.
From ingestion through policy gates to final commit, every step is observable and production-safe.
If you're building AI systems that must meet enterprise standards — not just demos — I can help.
Steps for completing your project
After purchasing the project, send requirements so Sohil can start the project.
Delivery time starts when Sohil receives requirements from you.
Sohil works on your project following the steps below.
Revisions may occur after the delivery date.
Architecture & Roadmap (Diagnostic)
Assess your workflow end-to-end and produce a clear architecture + governance roadmap. Deliverables include system diagram, risk assessment, and a phased implementation plan.
Implement One Workflow End-to-End
Implement a single production-grade workflow following the roadmap, including governance boundaries (HITL gates), audit/WHY trail, and failure isolation (DLQ / replay semantics).