You will get a production AI automation workflow built, tested, and shipped working
Project details
You will get a production AI automation workflow built on your own stack and shipped working, with documentation and source code you own. I build with n8n, Make, and LLM pipelines daily as the founder of an AI consultancy, and I am the nominated Business AI Lead at a $3B enterprise. Recent builds: an automated sales reporting pipeline that classifies messy CRM records with an LLM and lands a unified report in the GM's inbox every Monday, eliminating 25+ hours of manual work a week; and an AI email agent for a 4-person customer service team that recovered 32 hours a week and cut inbound call volume by 15% in the first month. Pricing is fixed per working system. You approve the design before I build, and the workflow is tested with your data before handover.
AI Algorithms
Large Language Model, Multimodal Large Language ModelAI Applications
AI Content Creation, AI Mobile App Development, AIOps, Conversational AI, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Microsoft 365 Copilot, ReplitAI Models
ChatGPT, GPT-4, OpenAI CodexWhat's included
| Service Tiers |
Starter
$3,000
|
Standard
$4,500
|
Advanced
$6,500
|
|---|---|---|---|
| Delivery Time | 14 days | 21 days | 30 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 |
About Shruti
AI Strategy, Workflows & Automation | Ex-Kearney | Enterprise AI Lead
Melbourne, Australia - 5:31 am local time
What I do:
- AI strategy and prioritised roadmaps: readiness assessment, use case prioritisation, business cases
- Production AI builds and workflow automation: LLM pipelines, agentic workflows, n8n and Make automations
- AI governance: Human-in-the-Loop design, build vs buy decisions, vendor evaluation
- Automated reporting and business intelligence layers
Recent work:
1. AI-native reporting layer for a PE-backed $3B enterprise: an LLM classification layer that standardises messy CRM records and feeds an automated report that lands in the Sales GM's inbox every Monday at 9am, replacing 20 to 30 hours of manual reporting per week. At the same enterprise, a claims single-source-of-truth dashboard that delivered $4M in annual savings.
2. AI strategy fact-find and roadmap for a global luxury retailer's executive team: structured discovery across every function, 23 AI use cases scored on value and feasibility, and a leadership-approved phased roadmap. I advised and co-owned the implementation; the first wave is on track to deliver 1,500+ hours a year back to the business.
Tools I work in daily: Python, n8n, Make, Copilot Studio, Power BI, DAX, Claude, and production LLM pipelines.
I take a small number of selective, project-based engagements. If your project needs both the strategy and the build, message me.
Steps for completing your project
After purchasing the project, send requirements so Shruti can start the project.
Delivery time starts when Shruti receives requirements from you.
Shruti works on your project following the steps below.
Revisions may occur after the delivery date.
Design, build, test, hand over
I map the workflow with you on a kickoff call, you approve the design, I build and test on your stack, then walk you through it at handover with documentation.